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0 | repos/libcamera/src/apps/qcam/assets | repos/libcamera/src/apps/qcam/assets/shader/YUV_2_planes.frag | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2020, Linaro
*
* YUV_2_planes.frag - Fragment shader code for NV12, NV16 and NV24 formats
*/
#ifdef GL_ES
precision mediump float;
#endif
varying vec2 textureOut;
uniform sampler2D tex_y;
uniform sampler2D tex_u;
const mat3 yuv2rgb_matrix = mat3(
YUV2RGB_MATRIX
);
const vec3 yuv2rgb_offset = vec3(
YUV2RGB_Y_OFFSET / 255.0, 128.0 / 255.0, 128.0 / 255.0
);
void main(void)
{
vec3 yuv;
yuv.x = texture2D(tex_y, textureOut).r;
#if defined(YUV_PATTERN_UV)
yuv.y = texture2D(tex_u, textureOut).r;
yuv.z = texture2D(tex_u, textureOut).a;
#elif defined(YUV_PATTERN_VU)
yuv.y = texture2D(tex_u, textureOut).a;
yuv.z = texture2D(tex_u, textureOut).r;
#else
#error Invalid pattern
#endif
vec3 rgb = yuv2rgb_matrix * (yuv - yuv2rgb_offset);
gl_FragColor = vec4(rgb, 1.0);
}
|
0 | repos/libcamera/src/apps/qcam/assets | repos/libcamera/src/apps/qcam/assets/shader/YUV_3_planes.frag | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2020, Linaro
*
* YUV_3_planes_UV.frag - Fragment shader code for YUV420 format
*/
#ifdef GL_ES
precision mediump float;
#endif
varying vec2 textureOut;
uniform sampler2D tex_y;
uniform sampler2D tex_u;
uniform sampler2D tex_v;
const mat3 yuv2rgb_matrix = mat3(
YUV2RGB_MATRIX
);
const vec3 yuv2rgb_offset = vec3(
YUV2RGB_Y_OFFSET / 255.0, 128.0 / 255.0, 128.0 / 255.0
);
void main(void)
{
vec3 yuv;
yuv.x = texture2D(tex_y, textureOut).r;
yuv.y = texture2D(tex_u, textureOut).r;
yuv.z = texture2D(tex_v, textureOut).r;
vec3 rgb = yuv2rgb_matrix * (yuv - yuv2rgb_offset);
gl_FragColor = vec4(rgb, 1.0);
}
|
0 | repos/libcamera/src/apps/qcam/assets | repos/libcamera/src/apps/qcam/assets/shader/identity.vert | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2020, Linaro
*
* identity.vert - Identity vertex shader for pixel format conversion
*/
attribute vec4 vertexIn;
attribute vec2 textureIn;
varying vec2 textureOut;
uniform float stride_factor;
void main(void)
{
gl_Position = vertexIn;
textureOut = vec2(textureIn.x * stride_factor, textureIn.y);
}
|
0 | repos/libcamera/src/apps/qcam/assets | repos/libcamera/src/apps/qcam/assets/shader/bayer_8.vert | /* SPDX-License-Identifier: BSD-2-Clause */
/*
From http://jgt.akpeters.com/papers/McGuire08/
Efficient, High-Quality Bayer Demosaic Filtering on GPUs
Morgan McGuire
This paper appears in issue Volume 13, Number 4.
---------------------------------------------------------
Copyright (c) 2008, Morgan McGuire. All rights reserved.
Modified by Linaro Ltd to integrate it into libcamera.
Copyright (C) 2021, Linaro
*/
//Vertex Shader
attribute vec4 vertexIn;
attribute vec2 textureIn;
uniform vec2 tex_size; /* The texture size in pixels */
uniform vec2 tex_step;
/** Pixel position of the first red pixel in the */
/** Bayer pattern. [{0,1}, {0, 1}]*/
uniform vec2 tex_bayer_first_red;
/** .xy = Pixel being sampled in the fragment shader on the range [0, 1]
.zw = ...on the range [0, sourceSize], offset by firstRed */
varying vec4 center;
/** center.x + (-2/w, -1/w, 1/w, 2/w); These are the x-positions */
/** of the adjacent pixels.*/
varying vec4 xCoord;
/** center.y + (-2/h, -1/h, 1/h, 2/h); These are the y-positions */
/** of the adjacent pixels.*/
varying vec4 yCoord;
void main(void) {
center.xy = textureIn;
center.zw = textureIn * tex_size + tex_bayer_first_red;
xCoord = center.x + vec4(-2.0 * tex_step.x,
-tex_step.x, tex_step.x, 2.0 * tex_step.x);
yCoord = center.y + vec4(-2.0 * tex_step.y,
-tex_step.y, tex_step.y, 2.0 * tex_step.y);
gl_Position = vertexIn;
}
|
0 | repos/libcamera/src/apps/qcam/assets | repos/libcamera/src/apps/qcam/assets/shader/YUV_packed.frag | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2020, Laurent Pinchart <[email protected]>
*
* YUV_packed.frag - Fragment shader code for YUYV packed formats
*/
#ifdef GL_ES
precision mediump float;
#endif
varying vec2 textureOut;
uniform sampler2D tex_y;
uniform vec2 tex_step;
const mat3 yuv2rgb_matrix = mat3(
YUV2RGB_MATRIX
);
const vec3 yuv2rgb_offset = vec3(
YUV2RGB_Y_OFFSET / 255.0, 128.0 / 255.0, 128.0 / 255.0
);
void main(void)
{
/*
* The sampler won't interpolate the texture correctly along the X axis,
* as each RGBA pixel effectively stores two pixels. We thus need to
* interpolate manually.
*
* In integer texture coordinates, the Y values are layed out in the
* texture memory as follows:
*
* ...| Y U Y V | Y U Y V | Y U Y V |...
* ...| R G B A | R G B A | R G B A |...
* ^ ^ ^ ^ ^ ^
* | | | | | |
* n-1 n-0.5 n n+0.5 n+1 n+1.5
*
* For a texture location x in the interval [n, n+1[, sample the left
* and right pixels at n and n+1, and interpolate them with
*
* left.r * (1 - a) + left.b * a if fract(x) < 0.5
* left.b * (1 - a) + right.r * a if fract(x) >= 0.5
*
* with a = fract(x * 2) which can also be written
*
* a = fract(x) * 2 if fract(x) < 0.5
* a = fract(x) * 2 - 1 if fract(x) >= 0.5
*/
vec2 pos = textureOut;
float f_x = fract(pos.x / tex_step.x);
vec4 left = texture2D(tex_y, vec2(pos.x - f_x * tex_step.x, pos.y));
vec4 right = texture2D(tex_y, vec2(pos.x + (1.0 - f_x) * tex_step.x , pos.y));
#if defined(YUV_PATTERN_UYVY)
float y_left = mix(left.g, left.a, f_x * 2.0);
float y_right = mix(left.a, right.g, f_x * 2.0 - 1.0);
vec2 uv = mix(left.rb, right.rb, f_x);
#elif defined(YUV_PATTERN_VYUY)
float y_left = mix(left.g, left.a, f_x * 2.0);
float y_right = mix(left.a, right.g, f_x * 2.0 - 1.0);
vec2 uv = mix(left.br, right.br, f_x);
#elif defined(YUV_PATTERN_YUYV)
float y_left = mix(left.r, left.b, f_x * 2.0);
float y_right = mix(left.b, right.r, f_x * 2.0 - 1.0);
vec2 uv = mix(left.ga, right.ga, f_x);
#elif defined(YUV_PATTERN_YVYU)
float y_left = mix(left.r, left.b, f_x * 2.0);
float y_right = mix(left.b, right.r, f_x * 2.0 - 1.0);
vec2 uv = mix(left.ag, right.ag, f_x);
#else
#error Invalid pattern
#endif
float y = mix(y_left, y_right, step(0.5, f_x));
vec3 rgb = yuv2rgb_matrix * (vec3(y, uv) - yuv2rgb_offset);
gl_FragColor = vec4(rgb, 1.0);
}
|
0 | repos/libcamera/src/apps/qcam/assets | repos/libcamera/src/apps/qcam/assets/shader/bayer_1x_packed.frag | /* SPDX-License-Identifier: BSD-2-Clause */
/*
* Based on the code from http://jgt.akpeters.com/papers/McGuire08/
*
* Efficient, High-Quality Bayer Demosaic Filtering on GPUs
*
* Morgan McGuire
*
* This paper appears in issue Volume 13, Number 4.
* ---------------------------------------------------------
* Copyright (c) 2008, Morgan McGuire. All rights reserved.
*
*
* Modified by Linaro Ltd for 10/12-bit packed vs 8-bit raw Bayer format,
* and for simpler demosaic algorithm.
* Copyright (C) 2020, Linaro
*
* bayer_1x_packed.frag - Fragment shader code for raw Bayer 10-bit and 12-bit
* packed formats
*/
#ifdef GL_ES
precision mediump float;
#endif
/*
* These constants are used to select the bytes containing the HS part of
* the pixel value:
* BPP - bytes per pixel,
* THRESHOLD_L = fract(BPP) * 0.5 + 0.02
* THRESHOLD_H = 1.0 - fract(BPP) * 1.5 + 0.02
* Let X is the x coordinate in the texture measured in bytes (so that the
* range is from 0 to (stride_-1)) aligned on the nearest pixel.
* E.g. for RAW10P:
* -------------+-------------------+-------------------+--
* pixel No | 0 1 2 3 | 4 5 6 7 | ...
* -------------+-------------------+-------------------+--
* byte offset | 0 1 2 3 4 | 5 6 7 8 9 | ...
* -------------+-------------------+-------------------+--
* X | 0.0 1.25 2.5 3.75 | 5.0 6.25 7.5 8.75 | ...
* -------------+-------------------+-------------------+--
* If fract(X) < THRESHOLD_L then the previous byte contains the LS
* bits of the pixel values and needs to be skipped.
* If fract(X) > THRESHOLD_H then the next byte contains the LS bits
* of the pixel values and needs to be skipped.
*/
#if defined(RAW10P)
#define BPP 1.25
#define THRESHOLD_L 0.14
#define THRESHOLD_H 0.64
#elif defined(RAW12P)
#define BPP 1.5
#define THRESHOLD_L 0.27
#define THRESHOLD_H 0.27
#else
#error Invalid raw format
#endif
varying vec2 textureOut;
/* the texture size in pixels */
uniform vec2 tex_size;
uniform vec2 tex_step;
uniform vec2 tex_bayer_first_red;
uniform sampler2D tex_y;
void main(void)
{
vec3 rgb;
/*
* center_bytes holds the coordinates of the MS byte of the pixel
* being sampled on the [0, stride-1/height-1] range.
* center_pixel holds the coordinates of the pixel being sampled
* on the [0, width/height-1] range.
*/
vec2 center_bytes;
vec2 center_pixel;
/*
* x- and y-positions of the adjacent pixels on the [0, 1] range.
*/
vec2 xcoords;
vec2 ycoords;
/*
* The coordinates passed to the shader in textureOut may point
* to a place in between the pixels if the texture format doesn't
* match the image format. In particular, MIPI packed raw Bayer
* formats don't have a matching texture format.
* In this case align the coordinates to the left nearest pixel
* by hand.
*/
center_pixel = floor(textureOut * tex_size);
center_bytes.y = center_pixel.y;
/*
* Add a small number (a few mantissa's LSBs) to avoid float
* representation issues. Maybe paranoic.
*/
center_bytes.x = BPP * center_pixel.x + 0.02;
float fract_x = fract(center_bytes.x);
/*
* The below floor() call ensures that center_bytes.x points
* at one of the bytes representing the 8 higher bits of
* the pixel value, not at the byte containing the LS bits
* of the group of the pixels.
*/
center_bytes.x = floor(center_bytes.x);
center_bytes *= tex_step;
xcoords = center_bytes.x + vec2(-tex_step.x, tex_step.x);
ycoords = center_bytes.y + vec2(-tex_step.y, tex_step.y);
/*
* If xcoords[0] points at the byte containing the LS bits
* of the previous group of the pixels, move xcoords[0] one
* byte back.
*/
xcoords[0] += (fract_x < THRESHOLD_L) ? -tex_step.x : 0.0;
/*
* If xcoords[1] points at the byte containing the LS bits
* of the current group of the pixels, move xcoords[1] one
* byte forward.
*/
xcoords[1] += (fract_x > THRESHOLD_H) ? tex_step.x : 0.0;
vec2 alternate = mod(center_pixel.xy + tex_bayer_first_red, 2.0);
bool even_col = alternate.x < 1.0;
bool even_row = alternate.y < 1.0;
/*
* We need to sample the central pixel and the ones with offset
* of -1 to +1 pixel in both X and Y directions. Let's name these
* pixels as below, where C is the central pixel:
*
* +----+----+----+----+
* | \ x| | | |
* |y \ | -1 | 0 | +1 |
* +----+----+----+----+
* | +1 | D2 | A1 | D3 |
* +----+----+----+----+
* | 0 | B0 | C | B1 |
* +----+----+----+----+
* | -1 | D0 | A0 | D1 |
* +----+----+----+----+
*
* In the below equations (0,-1).r means "r component of the texel
* shifted by -tex_step.y from the center_bytes one" etc.
*
* In the even row / even column (EE) case the colour values are:
* R = C = (0,0).r,
* G = (A0 + A1 + B0 + B1) / 4.0 =
* ( (0,-1).r + (0,1).r + (-1,0).r + (1,0).r ) / 4.0,
* B = (D0 + D1 + D2 + D3) / 4.0 =
* ( (-1,-1).r + (1,-1).r + (-1,1).r + (1,1).r ) / 4.0
*
* For even row / odd column (EO):
* R = (B0 + B1) / 2.0 = ( (-1,0).r + (1,0).r ) / 2.0,
* G = C = (0,0).r,
* B = (A0 + A1) / 2.0 = ( (0,-1).r + (0,1).r ) / 2.0
*
* For odd row / even column (OE):
* R = (A0 + A1) / 2.0 = ( (0,-1).r + (0,1).r ) / 2.0,
* G = C = (0,0).r,
* B = (B0 + B1) / 2.0 = ( (-1,0).r + (1,0).r ) / 2.0
*
* For odd row / odd column (OO):
* R = (D0 + D1 + D2 + D3) / 4.0 =
* ( (-1,-1).r + (1,-1).r + (-1,1).r + (1,1).r ) / 4.0,
* G = (A0 + A1 + B0 + B1) / 4.0 =
* ( (0,-1).r + (0,1).r + (-1,0).r + (1,0).r ) / 4.0,
* B = C = (0,0).r
*/
/*
* Fetch the values and precalculate the terms:
* patterns.x = (A0 + A1) / 2.0
* patterns.y = (B0 + B1) / 2.0
* patterns.z = (A0 + A1 + B0 + B1) / 4.0
* patterns.w = (D0 + D1 + D2 + D3) / 4.0
*/
#define fetch(x, y) texture2D(tex_y, vec2(x, y)).r
float C = texture2D(tex_y, center_bytes).r;
vec4 patterns = vec4(
fetch(center_bytes.x, ycoords[0]), /* A0: (0,-1) */
fetch(xcoords[0], center_bytes.y), /* B0: (-1,0) */
fetch(xcoords[0], ycoords[0]), /* D0: (-1,-1) */
fetch(xcoords[1], ycoords[0])); /* D1: (1,-1) */
vec4 temp = vec4(
fetch(center_bytes.x, ycoords[1]), /* A1: (0,1) */
fetch(xcoords[1], center_bytes.y), /* B1: (1,0) */
fetch(xcoords[1], ycoords[1]), /* D3: (1,1) */
fetch(xcoords[0], ycoords[1])); /* D2: (-1,1) */
patterns = (patterns + temp) * 0.5;
/* .x = (A0 + A1) / 2.0, .y = (B0 + B1) / 2.0 */
/* .z = (D0 + D3) / 2.0, .w = (D1 + D2) / 2.0 */
patterns.w = (patterns.z + patterns.w) * 0.5;
patterns.z = (patterns.x + patterns.y) * 0.5;
rgb = even_col ?
(even_row ?
vec3(C, patterns.zw) :
vec3(patterns.x, C, patterns.y)) :
(even_row ?
vec3(patterns.y, C, patterns.x) :
vec3(patterns.wz, C));
gl_FragColor = vec4(rgb, 1.0);
}
|
0 | repos/libcamera/src/apps/qcam/assets | repos/libcamera/src/apps/qcam/assets/shader/RGB.frag | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2020, Laurent Pinchart
*
* RGB.frag - Fragment shader code for RGB formats
*/
#ifdef GL_ES
precision mediump float;
#endif
varying vec2 textureOut;
uniform sampler2D tex_y;
void main(void)
{
vec3 rgb;
rgb = texture2D(tex_y, textureOut).RGB_PATTERN;
gl_FragColor = vec4(rgb, 1.0);
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/lc-compliance/environment.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2021, Collabora Ltd.
*
* Common environment for tests
*/
#pragma once
#include <libcamera/libcamera.h>
class Environment
{
public:
static Environment *get();
void setup(libcamera::CameraManager *cm, std::string cameraId);
const std::string &cameraId() const { return cameraId_; }
libcamera::CameraManager *cm() const { return cm_; }
private:
Environment() = default;
std::string cameraId_;
libcamera::CameraManager *cm_;
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/lc-compliance/environment.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2021, Collabora Ltd.
*
* Common environment for tests
*/
#include "environment.h"
using namespace libcamera;
Environment *Environment::get()
{
static Environment instance;
return &instance;
}
void Environment::setup(CameraManager *cm, std::string cameraId)
{
cm_ = cm;
cameraId_ = cameraId;
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/lc-compliance/main.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2020, Google Inc.
* Copyright (C) 2021, Collabora Ltd.
*
* lc-compliance - The libcamera compliance tool
*/
#include <iomanip>
#include <iostream>
#include <string.h>
#include <gtest/gtest.h>
#include <libcamera/libcamera.h>
#include "../common/options.h"
#include "environment.h"
using namespace libcamera;
enum {
OptCamera = 'c',
OptList = 'l',
OptFilter = 'f',
OptHelp = 'h',
};
/*
* Make asserts act like exceptions, otherwise they only fail (or skip) the
* current function. From gtest documentation:
* https://google.github.io/googletest/advanced.html#asserting-on-subroutines-with-an-exception
*/
class ThrowListener : public testing::EmptyTestEventListener
{
void OnTestPartResult(const testing::TestPartResult &result) override
{
if (result.type() == testing::TestPartResult::kFatalFailure ||
result.type() == testing::TestPartResult::kSkip)
throw testing::AssertionException(result);
}
};
static void listCameras(CameraManager *cm)
{
for (const std::shared_ptr<Camera> &cam : cm->cameras())
std::cout << "- " << cam.get()->id() << std::endl;
}
static int initCamera(CameraManager *cm, OptionsParser::Options options)
{
std::shared_ptr<Camera> camera;
int ret = cm->start();
if (ret) {
std::cout << "Failed to start camera manager: "
<< strerror(-ret) << std::endl;
return ret;
}
if (!options.isSet(OptCamera)) {
std::cout << "No camera specified, available cameras:" << std::endl;
listCameras(cm);
return -ENODEV;
}
const std::string &cameraId = options[OptCamera];
camera = cm->get(cameraId);
if (!camera) {
std::cout << "Camera " << cameraId << " not found, available cameras:" << std::endl;
listCameras(cm);
return -ENODEV;
}
Environment::get()->setup(cm, cameraId);
std::cout << "Using camera " << cameraId << std::endl;
return 0;
}
static int initGtestParameters(char *arg0, OptionsParser::Options options)
{
const std::map<std::string, std::string> gtestFlags = { { "list", "--gtest_list_tests" },
{ "filter", "--gtest_filter" } };
int argc = 0;
std::string filterParam;
/*
* +2 to have space for both the 0th argument that is needed but not
* used and the null at the end.
*/
char **argv = new char *[(gtestFlags.size() + 2)];
if (!argv)
return -ENOMEM;
argv[0] = arg0;
argc++;
if (options.isSet(OptList)) {
argv[argc] = const_cast<char *>(gtestFlags.at("list").c_str());
argc++;
}
if (options.isSet(OptFilter)) {
/*
* The filter flag needs to be passed as a single parameter, in
* the format --gtest_filter=filterStr
*/
filterParam = gtestFlags.at("filter") + "=" +
static_cast<const std::string &>(options[OptFilter]);
argv[argc] = const_cast<char *>(filterParam.c_str());
argc++;
}
argv[argc] = nullptr;
::testing::InitGoogleTest(&argc, argv);
delete[] argv;
return 0;
}
static int initGtest(char *arg0, OptionsParser::Options options)
{
int ret = initGtestParameters(arg0, options);
if (ret)
return ret;
testing::UnitTest::GetInstance()->listeners().Append(new ThrowListener);
return 0;
}
static int parseOptions(int argc, char **argv, OptionsParser::Options *options)
{
OptionsParser parser;
parser.addOption(OptCamera, OptionString,
"Specify which camera to operate on, by id", "camera",
ArgumentRequired, "camera");
parser.addOption(OptList, OptionNone, "List all tests and exit", "list");
parser.addOption(OptFilter, OptionString,
"Specify which tests to run", "filter",
ArgumentRequired, "filter");
parser.addOption(OptHelp, OptionNone, "Display this help message",
"help");
*options = parser.parse(argc, argv);
if (!options->valid())
return -EINVAL;
if (options->isSet(OptHelp)) {
parser.usage();
std::cerr << "Further options from Googletest can be passed as environment variables"
<< std::endl;
return -EINTR;
}
return 0;
}
int main(int argc, char **argv)
{
OptionsParser::Options options;
int ret = parseOptions(argc, argv, &options);
if (ret == -EINTR)
return EXIT_SUCCESS;
if (ret < 0)
return EXIT_FAILURE;
std::unique_ptr<CameraManager> cm = std::make_unique<CameraManager>();
/* No need to initialize the camera if we'll just list tests */
if (!options.isSet(OptList)) {
ret = initCamera(cm.get(), options);
if (ret)
return ret;
}
ret = initGtest(argv[0], options);
if (ret)
return ret;
ret = RUN_ALL_TESTS();
if (!options.isSet(OptList))
cm->stop();
return ret;
}
|
0 | repos/libcamera/src/apps/lc-compliance | repos/libcamera/src/apps/lc-compliance/tests/capture_test.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2020, Google Inc.
* Copyright (C) 2021, Collabora Ltd.
*
* Test camera capture
*/
#include "capture.h"
#include <iostream>
#include <gtest/gtest.h>
#include "environment.h"
using namespace libcamera;
const std::vector<int> NUMREQUESTS = { 1, 2, 3, 5, 8, 13, 21, 34, 55, 89 };
const std::vector<StreamRole> ROLES = {
StreamRole::Raw,
StreamRole::StillCapture,
StreamRole::VideoRecording,
StreamRole::Viewfinder
};
class SingleStream : public testing::TestWithParam<std::tuple<StreamRole, int>>
{
public:
static std::string nameParameters(const testing::TestParamInfo<SingleStream::ParamType> &info);
protected:
void SetUp() override;
void TearDown() override;
std::shared_ptr<Camera> camera_;
};
/*
* We use gtest's SetUp() and TearDown() instead of constructor and destructor
* in order to be able to assert on them.
*/
void SingleStream::SetUp()
{
Environment *env = Environment::get();
camera_ = env->cm()->get(env->cameraId());
ASSERT_EQ(camera_->acquire(), 0);
}
void SingleStream::TearDown()
{
if (!camera_)
return;
camera_->release();
camera_.reset();
}
std::string SingleStream::nameParameters(const testing::TestParamInfo<SingleStream::ParamType> &info)
{
std::map<StreamRole, std::string> rolesMap = {
{ StreamRole::Raw, "Raw" },
{ StreamRole::StillCapture, "StillCapture" },
{ StreamRole::VideoRecording, "VideoRecording" },
{ StreamRole::Viewfinder, "Viewfinder" }
};
std::string roleName = rolesMap[std::get<0>(info.param)];
std::string numRequestsName = std::to_string(std::get<1>(info.param));
return roleName + "_" + numRequestsName;
}
/*
* Test single capture cycles
*
* Makes sure the camera completes the exact number of requests queued. Example
* failure is a camera that completes less requests than the number of requests
* queued.
*/
TEST_P(SingleStream, Capture)
{
auto [role, numRequests] = GetParam();
CaptureBalanced capture(camera_);
capture.configure(role);
capture.capture(numRequests);
}
/*
* Test multiple start/stop cycles
*
* Makes sure the camera supports multiple start/stop cycles. Example failure is
* a camera that does not clean up correctly in its error path but is only
* tested by single-capture applications.
*/
TEST_P(SingleStream, CaptureStartStop)
{
auto [role, numRequests] = GetParam();
unsigned int numRepeats = 3;
CaptureBalanced capture(camera_);
capture.configure(role);
for (unsigned int starts = 0; starts < numRepeats; starts++)
capture.capture(numRequests);
}
/*
* Test unbalanced stop
*
* Makes sure the camera supports a stop with requests queued. Example failure
* is a camera that does not handle cancelation of buffers coming back from the
* video device while stopping.
*/
TEST_P(SingleStream, UnbalancedStop)
{
auto [role, numRequests] = GetParam();
CaptureUnbalanced capture(camera_);
capture.configure(role);
capture.capture(numRequests);
}
INSTANTIATE_TEST_SUITE_P(CaptureTests,
SingleStream,
testing::Combine(testing::ValuesIn(ROLES),
testing::ValuesIn(NUMREQUESTS)),
SingleStream::nameParameters);
|
0 | repos/libcamera/src/apps/lc-compliance | repos/libcamera/src/apps/lc-compliance/helpers/capture.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2020-2021, Google Inc.
*
* Simple capture helper
*/
#pragma once
#include <memory>
#include <libcamera/libcamera.h>
#include "../common/event_loop.h"
class Capture
{
public:
void configure(libcamera::StreamRole role);
protected:
Capture(std::shared_ptr<libcamera::Camera> camera);
virtual ~Capture();
void start();
void stop();
virtual void requestComplete(libcamera::Request *request) = 0;
EventLoop *loop_;
std::shared_ptr<libcamera::Camera> camera_;
std::unique_ptr<libcamera::FrameBufferAllocator> allocator_;
std::unique_ptr<libcamera::CameraConfiguration> config_;
std::vector<std::unique_ptr<libcamera::Request>> requests_;
};
class CaptureBalanced : public Capture
{
public:
CaptureBalanced(std::shared_ptr<libcamera::Camera> camera);
void capture(unsigned int numRequests);
private:
int queueRequest(libcamera::Request *request);
void requestComplete(libcamera::Request *request) override;
unsigned int queueCount_;
unsigned int captureCount_;
unsigned int captureLimit_;
};
class CaptureUnbalanced : public Capture
{
public:
CaptureUnbalanced(std::shared_ptr<libcamera::Camera> camera);
void capture(unsigned int numRequests);
private:
void requestComplete(libcamera::Request *request) override;
unsigned int captureCount_;
unsigned int captureLimit_;
};
|
0 | repos/libcamera/src/apps/lc-compliance | repos/libcamera/src/apps/lc-compliance/helpers/capture.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2020-2021, Google Inc.
*
* Simple capture helper
*/
#include "capture.h"
#include <gtest/gtest.h>
using namespace libcamera;
Capture::Capture(std::shared_ptr<Camera> camera)
: loop_(nullptr), camera_(camera),
allocator_(std::make_unique<FrameBufferAllocator>(camera))
{
}
Capture::~Capture()
{
stop();
}
void Capture::configure(StreamRole role)
{
config_ = camera_->generateConfiguration({ role });
if (!config_) {
std::cout << "Role not supported by camera" << std::endl;
GTEST_SKIP();
}
if (config_->validate() != CameraConfiguration::Valid) {
config_.reset();
FAIL() << "Configuration not valid";
}
if (camera_->configure(config_.get())) {
config_.reset();
FAIL() << "Failed to configure camera";
}
}
void Capture::start()
{
Stream *stream = config_->at(0).stream();
int count = allocator_->allocate(stream);
ASSERT_GE(count, 0) << "Failed to allocate buffers";
EXPECT_EQ(count, config_->at(0).bufferCount) << "Allocated less buffers than expected";
camera_->requestCompleted.connect(this, &Capture::requestComplete);
ASSERT_EQ(camera_->start(), 0) << "Failed to start camera";
}
void Capture::stop()
{
if (!config_ || !allocator_->allocated())
return;
camera_->stop();
camera_->requestCompleted.disconnect(this);
Stream *stream = config_->at(0).stream();
requests_.clear();
allocator_->free(stream);
}
/* CaptureBalanced */
CaptureBalanced::CaptureBalanced(std::shared_ptr<Camera> camera)
: Capture(camera)
{
}
void CaptureBalanced::capture(unsigned int numRequests)
{
start();
Stream *stream = config_->at(0).stream();
const std::vector<std::unique_ptr<FrameBuffer>> &buffers = allocator_->buffers(stream);
/* No point in testing less requests then the camera depth. */
if (buffers.size() > numRequests) {
std::cout << "Camera needs " + std::to_string(buffers.size())
+ " requests, can't test only "
+ std::to_string(numRequests) << std::endl;
GTEST_SKIP();
}
queueCount_ = 0;
captureCount_ = 0;
captureLimit_ = numRequests;
/* Queue the recommended number of requests. */
for (const std::unique_ptr<FrameBuffer> &buffer : buffers) {
std::unique_ptr<Request> request = camera_->createRequest();
ASSERT_TRUE(request) << "Can't create request";
ASSERT_EQ(request->addBuffer(stream, buffer.get()), 0) << "Can't set buffer for request";
ASSERT_EQ(queueRequest(request.get()), 0) << "Failed to queue request";
requests_.push_back(std::move(request));
}
/* Run capture session. */
loop_ = new EventLoop();
loop_->exec();
stop();
delete loop_;
ASSERT_EQ(captureCount_, captureLimit_);
}
int CaptureBalanced::queueRequest(Request *request)
{
queueCount_++;
if (queueCount_ > captureLimit_)
return 0;
return camera_->queueRequest(request);
}
void CaptureBalanced::requestComplete(Request *request)
{
EXPECT_EQ(request->status(), Request::Status::RequestComplete)
<< "Request didn't complete successfully";
captureCount_++;
if (captureCount_ >= captureLimit_) {
loop_->exit(0);
return;
}
request->reuse(Request::ReuseBuffers);
if (queueRequest(request))
loop_->exit(-EINVAL);
}
/* CaptureUnbalanced */
CaptureUnbalanced::CaptureUnbalanced(std::shared_ptr<Camera> camera)
: Capture(camera)
{
}
void CaptureUnbalanced::capture(unsigned int numRequests)
{
start();
Stream *stream = config_->at(0).stream();
const std::vector<std::unique_ptr<FrameBuffer>> &buffers = allocator_->buffers(stream);
captureCount_ = 0;
captureLimit_ = numRequests;
/* Queue the recommended number of requests. */
for (const std::unique_ptr<FrameBuffer> &buffer : buffers) {
std::unique_ptr<Request> request = camera_->createRequest();
ASSERT_TRUE(request) << "Can't create request";
ASSERT_EQ(request->addBuffer(stream, buffer.get()), 0) << "Can't set buffer for request";
ASSERT_EQ(camera_->queueRequest(request.get()), 0) << "Failed to queue request";
requests_.push_back(std::move(request));
}
/* Run capture session. */
loop_ = new EventLoop();
int status = loop_->exec();
stop();
delete loop_;
ASSERT_EQ(status, 0);
}
void CaptureUnbalanced::requestComplete(Request *request)
{
captureCount_++;
if (captureCount_ >= captureLimit_) {
loop_->exit(0);
return;
}
EXPECT_EQ(request->status(), Request::Status::RequestComplete)
<< "Request didn't complete successfully";
request->reuse(Request::ReuseBuffers);
if (camera_->queueRequest(request))
loop_->exit(-EINVAL);
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/image.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Ideas on Board Oy
*
* Multi-planar image with access to pixel data
*/
#include "image.h"
#include <assert.h>
#include <errno.h>
#include <iostream>
#include <map>
#include <string.h>
#include <sys/mman.h>
#include <unistd.h>
using namespace libcamera;
std::unique_ptr<Image> Image::fromFrameBuffer(const FrameBuffer *buffer, MapMode mode)
{
std::unique_ptr<Image> image{ new Image() };
assert(!buffer->planes().empty());
int mmapFlags = 0;
if (mode & MapMode::ReadOnly)
mmapFlags |= PROT_READ;
if (mode & MapMode::WriteOnly)
mmapFlags |= PROT_WRITE;
struct MappedBufferInfo {
uint8_t *address = nullptr;
size_t mapLength = 0;
size_t dmabufLength = 0;
};
std::map<int, MappedBufferInfo> mappedBuffers;
for (const FrameBuffer::Plane &plane : buffer->planes()) {
const int fd = plane.fd.get();
if (mappedBuffers.find(fd) == mappedBuffers.end()) {
const size_t length = lseek(fd, 0, SEEK_END);
mappedBuffers[fd] = MappedBufferInfo{ nullptr, 0, length };
}
const size_t length = mappedBuffers[fd].dmabufLength;
if (plane.offset > length ||
plane.offset + plane.length > length) {
std::cerr << "plane is out of buffer: buffer length="
<< length << ", plane offset=" << plane.offset
<< ", plane length=" << plane.length
<< std::endl;
return nullptr;
}
size_t &mapLength = mappedBuffers[fd].mapLength;
mapLength = std::max(mapLength,
static_cast<size_t>(plane.offset + plane.length));
}
for (const FrameBuffer::Plane &plane : buffer->planes()) {
const int fd = plane.fd.get();
auto &info = mappedBuffers[fd];
if (!info.address) {
void *address = mmap(nullptr, info.mapLength, mmapFlags,
MAP_SHARED, fd, 0);
if (address == MAP_FAILED) {
int error = -errno;
std::cerr << "Failed to mmap plane: "
<< strerror(-error) << std::endl;
return nullptr;
}
info.address = static_cast<uint8_t *>(address);
image->maps_.emplace_back(info.address, info.mapLength);
}
image->planes_.emplace_back(info.address + plane.offset, plane.length);
}
return image;
}
Image::Image() = default;
Image::~Image()
{
for (Span<uint8_t> &map : maps_)
munmap(map.data(), map.size());
}
unsigned int Image::numPlanes() const
{
return planes_.size();
}
Span<uint8_t> Image::data(unsigned int plane)
{
assert(plane <= planes_.size());
return planes_[plane];
}
Span<const uint8_t> Image::data(unsigned int plane) const
{
assert(plane <= planes_.size());
return planes_[plane];
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/stream_options.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2020, Raspberry Pi Ltd
*
* Helper to parse options for streams
*/
#include "stream_options.h"
#include <iostream>
#include <libcamera/color_space.h>
using namespace libcamera;
StreamKeyValueParser::StreamKeyValueParser()
{
addOption("role", OptionString,
"Role for the stream (viewfinder, video, still, raw)",
ArgumentRequired);
addOption("width", OptionInteger, "Width in pixels",
ArgumentRequired);
addOption("height", OptionInteger, "Height in pixels",
ArgumentRequired);
addOption("pixelformat", OptionString, "Pixel format name",
ArgumentRequired);
addOption("colorspace", OptionString, "Color space",
ArgumentRequired);
}
KeyValueParser::Options StreamKeyValueParser::parse(const char *arguments)
{
KeyValueParser::Options options = KeyValueParser::parse(arguments);
if (options.valid() && options.isSet("role") && !parseRole(options)) {
std::cerr << "Unknown stream role "
<< options["role"].toString() << std::endl;
options.invalidate();
}
return options;
}
std::vector<StreamRole> StreamKeyValueParser::roles(const OptionValue &values)
{
/* If no configuration values to examine default to viewfinder. */
if (values.empty())
return { StreamRole::Viewfinder };
const std::vector<OptionValue> &streamParameters = values.toArray();
std::vector<StreamRole> roles;
for (auto const &value : streamParameters) {
/* If a role is invalid default it to viewfinder. */
roles.push_back(parseRole(value.toKeyValues()).value_or(StreamRole::Viewfinder));
}
return roles;
}
int StreamKeyValueParser::updateConfiguration(CameraConfiguration *config,
const OptionValue &values)
{
if (!config) {
std::cerr << "No configuration provided" << std::endl;
return -EINVAL;
}
/* If no configuration values nothing to do. */
if (values.empty())
return 0;
const std::vector<OptionValue> &streamParameters = values.toArray();
if (config->size() != streamParameters.size()) {
std::cerr
<< "Number of streams in configuration "
<< config->size()
<< " does not match number of streams parsed "
<< streamParameters.size()
<< std::endl;
return -EINVAL;
}
unsigned int i = 0;
for (auto const &value : streamParameters) {
KeyValueParser::Options opts = value.toKeyValues();
StreamConfiguration &cfg = config->at(i++);
if (opts.isSet("width") && opts.isSet("height")) {
cfg.size.width = opts["width"];
cfg.size.height = opts["height"];
}
if (opts.isSet("pixelformat"))
cfg.pixelFormat = PixelFormat::fromString(opts["pixelformat"].toString());
if (opts.isSet("colorspace"))
cfg.colorSpace = ColorSpace::fromString(opts["colorspace"].toString());
}
return 0;
}
std::optional<libcamera::StreamRole> StreamKeyValueParser::parseRole(const KeyValueParser::Options &options)
{
if (!options.isSet("role"))
return {};
std::string name = options["role"].toString();
if (name == "viewfinder")
return StreamRole::Viewfinder;
else if (name == "video")
return StreamRole::VideoRecording;
else if (name == "still")
return StreamRole::StillCapture;
else if (name == "raw")
return StreamRole::Raw;
return {};
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/stream_options.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2020, Raspberry Pi Ltd
*
* Helper to parse options for streams
*/
#pragma once
#include <optional>
#include <libcamera/camera.h>
#include "options.h"
class StreamKeyValueParser : public KeyValueParser
{
public:
StreamKeyValueParser();
KeyValueParser::Options parse(const char *arguments) override;
static std::vector<libcamera::StreamRole> roles(const OptionValue &values);
static int updateConfiguration(libcamera::CameraConfiguration *config,
const OptionValue &values);
private:
static std::optional<libcamera::StreamRole> parseRole(const KeyValueParser::Options &options);
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/image.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Ideas on Board Oy
*
* Multi-planar image with access to pixel data
*/
#pragma once
#include <memory>
#include <stdint.h>
#include <vector>
#include <libcamera/base/class.h>
#include <libcamera/base/flags.h>
#include <libcamera/base/span.h>
#include <libcamera/framebuffer.h>
class Image
{
public:
enum class MapMode {
ReadOnly = 1 << 0,
WriteOnly = 1 << 1,
ReadWrite = ReadOnly | WriteOnly,
};
static std::unique_ptr<Image> fromFrameBuffer(const libcamera::FrameBuffer *buffer,
MapMode mode);
~Image();
unsigned int numPlanes() const;
libcamera::Span<uint8_t> data(unsigned int plane);
libcamera::Span<const uint8_t> data(unsigned int plane) const;
private:
LIBCAMERA_DISABLE_COPY(Image)
Image();
std::vector<libcamera::Span<uint8_t>> maps_;
std::vector<libcamera::Span<uint8_t>> planes_;
};
namespace libcamera {
LIBCAMERA_FLAGS_ENABLE_OPERATORS(Image::MapMode)
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/options.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2019, Google Inc.
*
* cam - Options parsing
*/
#include <assert.h>
#include <getopt.h>
#include <iomanip>
#include <iostream>
#include <string.h>
#include "options.h"
/**
* \enum OptionArgument
* \brief Indicate if an option takes an argument
*
* \var OptionArgument::ArgumentNone
* \brief The option doesn't accept any argument
*
* \var OptionArgument::ArgumentRequired
* \brief The option requires an argument
*
* \var OptionArgument::ArgumentOptional
* \brief The option accepts an optional argument
*/
/**
* \enum OptionType
* \brief The type of argument for an option
*
* \var OptionType::OptionNone
* \brief No argument type, used for options that take no argument
*
* \var OptionType::OptionInteger
* \brief Integer argument type, with an optional base prefix (`0` for base 8,
* `0x` for base 16, none for base 10)
*
* \var OptionType::OptionString
* \brief String argument
*
* \var OptionType::OptionKeyValue
* \brief key=value list argument
*/
/* -----------------------------------------------------------------------------
* Option
*/
/**
* \struct Option
* \brief Store metadata about an option
*
* \var Option::opt
* \brief The option identifier
*
* \var Option::type
* \brief The type of the option argument
*
* \var Option::name
* \brief The option name
*
* \var Option::argument
* \brief Whether the option accepts an optional argument, a mandatory
* argument, or no argument at all
*
* \var Option::argumentName
* \brief The argument name used in the help text
*
* \var Option::help
* \brief The help text (may be a multi-line string)
*
* \var Option::keyValueParser
* \brief For options of type OptionType::OptionKeyValue, the key-value parser
* to parse the argument
*
* \var Option::isArray
* \brief Whether the option can appear once or multiple times
*
* \var Option::parent
* \brief The parent option
*
* \var Option::children
* \brief List of child options, storing all options whose parent is this option
*
* \fn Option::hasShortOption()
* \brief Tell if the option has a short option specifier (e.g. `-f`)
* \return True if the option has a short option specifier, false otherwise
*
* \fn Option::hasLongOption()
* \brief Tell if the option has a long option specifier (e.g. `--foo`)
* \return True if the option has a long option specifier, false otherwise
*/
struct Option {
int opt;
OptionType type;
const char *name;
OptionArgument argument;
const char *argumentName;
const char *help;
KeyValueParser *keyValueParser;
bool isArray;
Option *parent;
std::list<Option> children;
bool hasShortOption() const { return isalnum(opt); }
bool hasLongOption() const { return name != nullptr; }
const char *typeName() const;
std::string optionName() const;
};
/**
* \brief Retrieve a string describing the option type
* \return A string describing the option type
*/
const char *Option::typeName() const
{
switch (type) {
case OptionNone:
return "none";
case OptionInteger:
return "integer";
case OptionString:
return "string";
case OptionKeyValue:
return "key=value";
}
return "unknown";
}
/**
* \brief Retrieve a string describing the option name, with leading dashes
* \return A string describing the option name, as a long option identifier
* (double dash) if the option has a name, or a short option identifier (single
* dash) otherwise
*/
std::string Option::optionName() const
{
if (name)
return "--" + std::string(name);
else
return "-" + std::string(1, opt);
}
/* -----------------------------------------------------------------------------
* OptionBase<T>
*/
/**
* \class template<typename T> OptionBase
* \brief Container to store the values of parsed options
* \tparam T The type through which options are identified
*
* The OptionsBase class is generated by a parser (either OptionsParser or
* KeyValueParser) when parsing options. It stores values for all the options
* found, and exposes accessor functions to retrieve them. The options are
* accessed through an identifier to type \a T, which is an int referencing an
* Option::opt for OptionsParser, or a std::string referencing an Option::name
* for KeyValueParser.
*/
/**
* \fn OptionsBase::OptionsBase()
* \brief Construct an OptionsBase instance
*
* The constructed instance is initially invalid, and will be populated by the
* options parser.
*/
/**
* \brief Tell if the stored options list is empty
* \return True if the container is empty, false otherwise
*/
template<typename T>
bool OptionsBase<T>::empty() const
{
return values_.empty();
}
/**
* \brief Tell if the options parsing completed successfully
* \return True if the container is returned after successfully parsing
* options, false if it is returned after an error was detected during parsing
*/
template<typename T>
bool OptionsBase<T>::valid() const
{
return valid_;
}
/**
* \brief Tell if the option \a opt is specified
* \param[in] opt The option to search for
* \return True if the \a opt option is set, false otherwise
*/
template<typename T>
bool OptionsBase<T>::isSet(const T &opt) const
{
return values_.find(opt) != values_.end();
}
/**
* \brief Retrieve the value of option \a opt
* \param[in] opt The option to retrieve
* \return The value of option \a opt if found, an empty OptionValue otherwise
*/
template<typename T>
const OptionValue &OptionsBase<T>::operator[](const T &opt) const
{
static const OptionValue empty;
auto it = values_.find(opt);
if (it != values_.end())
return it->second;
return empty;
}
/**
* \brief Mark the container as invalid
*
* This function can be used in a key-value parser's override of the
* KeyValueParser::parse() function to mark the returned options as invalid if
* a validation error occurs.
*/
template<typename T>
void OptionsBase<T>::invalidate()
{
valid_ = false;
}
template<typename T>
bool OptionsBase<T>::parseValue(const T &opt, const Option &option,
const char *arg)
{
OptionValue value;
switch (option.type) {
case OptionNone:
break;
case OptionInteger:
unsigned int integer;
if (arg) {
char *endptr;
integer = strtoul(arg, &endptr, 0);
if (*endptr != '\0')
return false;
} else {
integer = 0;
}
value = OptionValue(integer);
break;
case OptionString:
value = OptionValue(arg ? arg : "");
break;
case OptionKeyValue:
KeyValueParser *kvParser = option.keyValueParser;
KeyValueParser::Options keyValues = kvParser->parse(arg);
if (!keyValues.valid())
return false;
value = OptionValue(keyValues);
break;
}
if (option.isArray)
values_[opt].addValue(value);
else
values_[opt] = value;
return true;
}
template class OptionsBase<int>;
template class OptionsBase<std::string>;
/* -----------------------------------------------------------------------------
* KeyValueParser
*/
/**
* \class KeyValueParser
* \brief A specialized parser for list of key-value pairs
*
* The KeyValueParser is an options parser for comma-separated lists of
* `key=value` pairs. The supported keys are added to the parser with
* addOption(). A given key can only appear once in the parsed list.
*
* Instances of this class can be passed to the OptionsParser::addOption()
* function to create options that take key-value pairs as an option argument.
* Specialized versions of the key-value parser can be created by inheriting
* from this class, to pre-build the options list in the constructor, and to add
* custom validation by overriding the parse() function.
*/
/**
* \class KeyValueParser::Options
* \brief An option list generated by the key-value parser
*
* This is a specialization of OptionsBase with the option reference type set to
* std::string.
*/
KeyValueParser::KeyValueParser() = default;
KeyValueParser::~KeyValueParser() = default;
/**
* \brief Add a supported option to the parser
* \param[in] name The option name, corresponding to the key name in the
* key=value pair. The name shall be unique.
* \param[in] type The type of the value in the key=value pair
* \param[in] help The help text
* \param[in] argument Whether the value is optional, mandatory or not allowed.
* Shall be ArgumentNone if \a type is OptionNone.
*
* \sa OptionsParser
*
* \return True if the option was added successfully, false if an error
* occurred.
*/
bool KeyValueParser::addOption(const char *name, OptionType type,
const char *help, OptionArgument argument)
{
if (!name)
return false;
if (!help || help[0] == '\0')
return false;
if (argument != ArgumentNone && type == OptionNone)
return false;
/* Reject duplicate options. */
if (optionsMap_.find(name) != optionsMap_.end())
return false;
optionsMap_[name] = Option({ 0, type, name, argument, nullptr,
help, nullptr, false, nullptr, {} });
return true;
}
/**
* \brief Parse a string containing a list of key-value pairs
* \param[in] arguments The key-value pairs string to parse
*
* If a parsing error occurs, the parsing stops and the function returns an
* invalid container. The container is populated with the options successfully
* parsed so far.
*
* \return A valid container with the list of parsed options on success, or an
* invalid container otherwise
*/
KeyValueParser::Options KeyValueParser::parse(const char *arguments)
{
Options options;
for (const char *pair = arguments; *arguments != '\0'; pair = arguments) {
const char *comma = strchrnul(arguments, ',');
size_t len = comma - pair;
/* Skip over the comma. */
arguments = *comma == ',' ? comma + 1 : comma;
/* Skip to the next pair if the pair is empty. */
if (!len)
continue;
std::string key;
std::string value;
const char *separator = static_cast<const char *>(memchr(pair, '=', len));
if (!separator) {
key = std::string(pair, len);
value = "";
} else {
key = std::string(pair, separator - pair);
value = std::string(separator + 1, comma - separator - 1);
}
/* The key is mandatory, the value might be optional. */
if (key.empty())
continue;
if (optionsMap_.find(key) == optionsMap_.end()) {
std::cerr << "Invalid option " << key << std::endl;
return options;
}
OptionArgument arg = optionsMap_[key].argument;
if (value.empty() && arg == ArgumentRequired) {
std::cerr << "Option " << key << " requires an argument"
<< std::endl;
return options;
} else if (!value.empty() && arg == ArgumentNone) {
std::cerr << "Option " << key << " takes no argument"
<< std::endl;
return options;
}
const Option &option = optionsMap_[key];
if (!options.parseValue(key, option, value.c_str())) {
std::cerr << "Failed to parse '" << value << "' as "
<< option.typeName() << " for option " << key
<< std::endl;
return options;
}
}
options.valid_ = true;
return options;
}
unsigned int KeyValueParser::maxOptionLength() const
{
unsigned int maxLength = 0;
for (auto const &iter : optionsMap_) {
const Option &option = iter.second;
unsigned int length = 10 + strlen(option.name);
if (option.argument != ArgumentNone)
length += 1 + strlen(option.typeName());
if (option.argument == ArgumentOptional)
length += 2;
if (length > maxLength)
maxLength = length;
}
return maxLength;
}
void KeyValueParser::usage(int indent)
{
for (auto const &iter : optionsMap_) {
const Option &option = iter.second;
std::string argument = std::string(" ") + option.name;
if (option.argument != ArgumentNone) {
if (option.argument == ArgumentOptional)
argument += "[=";
else
argument += "=";
argument += option.typeName();
if (option.argument == ArgumentOptional)
argument += "]";
}
std::cerr << std::setw(indent) << argument;
for (const char *help = option.help, *end = help; end;) {
end = strchr(help, '\n');
if (end) {
std::cerr << std::string(help, end - help + 1);
std::cerr << std::setw(indent) << " ";
help = end + 1;
} else {
std::cerr << help << std::endl;
}
}
}
}
/* -----------------------------------------------------------------------------
* OptionValue
*/
/**
* \class OptionValue
* \brief Container to store the value of an option
*
* The OptionValue class is a variant-type container to store the value of an
* option. It supports empty values, integers, strings, key-value lists, as well
* as arrays of those types. For array values, all array elements shall have the
* same type.
*
* OptionValue instances are organized in a tree-based structure that matches
* the parent-child relationship of the options added to the parser. Children
* are retrieved with the children() function, and are stored as an
* OptionsBase<int>.
*/
/**
* \enum OptionValue::ValueType
* \brief The option value type
*
* \var OptionValue::ValueType::ValueNone
* \brief Empty value
*
* \var OptionValue::ValueType::ValueInteger
* \brief Integer value (int)
*
* \var OptionValue::ValueType::ValueString
* \brief String value (std::string)
*
* \var OptionValue::ValueType::ValueKeyValue
* \brief Key-value list value (KeyValueParser::Options)
*
* \var OptionValue::ValueType::ValueArray
* \brief Array value
*/
/**
* \brief Construct an empty OptionValue instance
*
* The value type is set to ValueType::ValueNone.
*/
OptionValue::OptionValue()
: type_(ValueNone), integer_(0)
{
}
/**
* \brief Construct an integer OptionValue instance
* \param[in] value The integer value
*
* The value type is set to ValueType::ValueInteger.
*/
OptionValue::OptionValue(int value)
: type_(ValueInteger), integer_(value)
{
}
/**
* \brief Construct a string OptionValue instance
* \param[in] value The string value
*
* The value type is set to ValueType::ValueString.
*/
OptionValue::OptionValue(const char *value)
: type_(ValueString), integer_(0), string_(value)
{
}
/**
* \brief Construct a string OptionValue instance
* \param[in] value The string value
*
* The value type is set to ValueType::ValueString.
*/
OptionValue::OptionValue(const std::string &value)
: type_(ValueString), integer_(0), string_(value)
{
}
/**
* \brief Construct a key-value OptionValue instance
* \param[in] value The key-value list
*
* The value type is set to ValueType::ValueKeyValue.
*/
OptionValue::OptionValue(const KeyValueParser::Options &value)
: type_(ValueKeyValue), integer_(0), keyValues_(value)
{
}
/**
* \brief Add an entry to an array value
* \param[in] value The entry value
*
* This function can only be called if the OptionValue type is
* ValueType::ValueNone or ValueType::ValueArray. Upon return, the type will be
* set to ValueType::ValueArray.
*/
void OptionValue::addValue(const OptionValue &value)
{
assert(type_ == ValueNone || type_ == ValueArray);
type_ = ValueArray;
array_.push_back(value);
}
/**
* \fn OptionValue::type()
* \brief Retrieve the value type
* \return The value type
*/
/**
* \fn OptionValue::empty()
* \brief Check if the value is empty
* \return True if the value is empty (type set to ValueType::ValueNone), or
* false otherwise
*/
/**
* \brief Cast the value to an int
* \return The option value as an int, or 0 if the value type isn't
* ValueType::ValueInteger
*/
OptionValue::operator int() const
{
return toInteger();
}
/**
* \brief Cast the value to a std::string
* \return The option value as an std::string, or an empty string if the value
* type isn't ValueType::ValueString
*/
OptionValue::operator std::string() const
{
return toString();
}
/**
* \brief Retrieve the value as an int
* \return The option value as an int, or 0 if the value type isn't
* ValueType::ValueInteger
*/
int OptionValue::toInteger() const
{
if (type_ != ValueInteger)
return 0;
return integer_;
}
/**
* \brief Retrieve the value as a std::string
* \return The option value as a std::string, or an empty string if the value
* type isn't ValueType::ValueString
*/
std::string OptionValue::toString() const
{
if (type_ != ValueString)
return std::string();
return string_;
}
/**
* \brief Retrieve the value as a key-value list
*
* The behaviour is undefined if the value type isn't ValueType::ValueKeyValue.
*
* \return The option value as a KeyValueParser::Options
*/
const KeyValueParser::Options &OptionValue::toKeyValues() const
{
assert(type_ == ValueKeyValue);
return keyValues_;
}
/**
* \brief Retrieve the value as an array
*
* The behaviour is undefined if the value type isn't ValueType::ValueArray.
*
* \return The option value as a std::vector of OptionValue
*/
const std::vector<OptionValue> &OptionValue::toArray() const
{
assert(type_ == ValueArray);
return array_;
}
/**
* \brief Retrieve the list of child values
* \return The list of child values
*/
const OptionsParser::Options &OptionValue::children() const
{
return children_;
}
/* -----------------------------------------------------------------------------
* OptionsParser
*/
/**
* \class OptionsParser
* \brief A command line options parser
*
* The OptionsParser class is an easy to use options parser for POSIX-style
* command line options. Supports short (e.g. `-f`) and long (e.g. `--foo`)
* options, optional and mandatory arguments, automatic parsing arguments for
* integer types and comma-separated list of key=value pairs, and multi-value
* arguments. It handles help text generation automatically.
*
* An OptionsParser instance is initialized by adding supported options with
* addOption(). Options are specified by an identifier and a name. If the
* identifier is an alphanumeric character, it will be used by the parser as a
* short option identifier (e.g. `-f`). The name, if specified, will be used as
* a long option identifier (e.g. `--foo`). It should not include the double
* dashes. The name is optional if the option identifier is an alphanumeric
* character and mandatory otherwise.
*
* An option has a mandatory help text, which is used to print the full options
* list with the usage() function. The help text may be a multi-line string.
* Correct indentation of the help text is handled automatically.
*
* Options accept arguments when created with OptionArgument::ArgumentRequired
* or OptionArgument::ArgumentOptional. If the argument is required, it can be
* specified as a positional argument after the option (e.g. `-f bar`,
* `--foo bar`), collated with the short option (e.g. `-fbar`) or separated from
* the long option by an equal sign (e.g. `--foo=bar`'). When the argument is
* optional, it must be collated with the short option or separated from the
* long option by an equal sign.
*
* If an option has a required or optional argument, an argument name must be
* set when adding the option. The argument name is used in the help text as a
* place holder for an argument value. For instance, a `--write` option that
* takes a file name as an argument could set the argument name to `filename`,
* and the help text would display `--write filename`. This is only used to
* clarify the help text and has no effect on option parsing.
*
* The option type tells the parser how to process the argument. Arguments for
* string options (OptionType::OptionString) are stored as-is without any
* processing. Arguments for integer options (OptionType::OptionInteger) are
* converted to an integer value, using an optional base prefix (`0` for base 8,
* `0x` for base 16, none for base 10). Arguments for key-value options are
* parsed by a KeyValueParser given to addOption().
*
* By default, a given option can appear once only in the parsed command line.
* If the option is created as an array option, the parser will accept multiple
* instances of the option. The order in which identical options are specified
* is preserved in the values of an array option.
*
* After preparing the parser, it can be used any number of times to parse
* command line options with the parse() function. The function returns an
* Options instance that stores the values for the parsed options. The
* Options::isSet() function can be used to test if an option has been found,
* and is the only way to access options that take no argument (specified by
* OptionType::OptionNone and OptionArgument::ArgumentNone). For options that
* accept an argument, the option value can be access by Options::operator[]()
* using the option identifier as the key. The order in which different options
* are specified on the command line isn't preserved.
*
* Options can be created with parent-child relationships to organize them as a
* tree instead of a flat list. When parsing a command line, the child options
* are considered related to the parent option that precedes them. This is
* useful when the parent is an array option. The Options values list generated
* by the parser then turns into a tree, which each parent value storing the
* values of child options that follow that instance of the parent option.
* For instance, with a `capture` option specified as a child of a `camera`
* array option, parsing the command line
*
* `--camera 1 --capture=10 --camera 2 --capture=20`
*
* will return an Options instance containing a single OptionValue instance of
* array type, for the `camera` option. The OptionValue will contain two
* entries, with the first entry containing the integer value 1 and the second
* entry the integer value 2. Each of those entries will in turn store an
* Options instance that contains the respective children. The first entry will
* store in its children a `capture` option of value 10, and the second entry a
* `capture` option of value 20.
*
* The command line
*
* `--capture=10 --camera 1`
*
* would result in a parsing error, as the `capture` option has no preceding
* `camera` option on the command line.
*/
/**
* \class OptionsParser::Options
* \brief An option list generated by the options parser
*
* This is a specialization of OptionsBase with the option reference type set to
* int.
*/
OptionsParser::OptionsParser() = default;
OptionsParser::~OptionsParser() = default;
/**
* \brief Add an option to the parser
* \param[in] opt The option identifier
* \param[in] type The type of the option argument
* \param[in] help The help text (may be a multi-line string)
* \param[in] name The option name
* \param[in] argument Whether the option accepts an optional argument, a
* mandatory argument, or no argument at all
* \param[in] argumentName The argument name used in the help text
* \param[in] array Whether the option can appear once or multiple times
* \param[in] parent The identifier of the parent option (optional)
*
* \return True if the option was added successfully, false if an error
* occurred.
*/
bool OptionsParser::addOption(int opt, OptionType type, const char *help,
const char *name, OptionArgument argument,
const char *argumentName, bool array, int parent)
{
/*
* Options must have at least a short or long name, and a text message.
* If an argument is accepted, it must be described by argumentName.
*/
if (!isalnum(opt) && !name)
return false;
if (!help || help[0] == '\0')
return false;
if (argument != ArgumentNone && !argumentName)
return false;
/* Reject duplicate options. */
if (optionsMap_.find(opt) != optionsMap_.end())
return false;
/*
* If a parent is specified, create the option as a child of its parent.
* Otherwise, create it in the parser's options list.
*/
Option *option;
if (parent) {
auto iter = optionsMap_.find(parent);
if (iter == optionsMap_.end())
return false;
Option *parentOpt = iter->second;
parentOpt->children.push_back({
opt, type, name, argument, argumentName, help, nullptr,
array, parentOpt, {}
});
option = &parentOpt->children.back();
} else {
options_.push_back({ opt, type, name, argument, argumentName,
help, nullptr, array, nullptr, {} });
option = &options_.back();
}
optionsMap_[opt] = option;
return true;
}
/**
* \brief Add a key-value pair option to the parser
* \param[in] opt The option identifier
* \param[in] parser The KeyValueParser for the option value
* \param[in] help The help text (may be a multi-line string)
* \param[in] name The option name
* \param[in] array Whether the option can appear once or multiple times
*
* \sa Option
*
* \return True if the option was added successfully, false if an error
* occurred.
*/
bool OptionsParser::addOption(int opt, KeyValueParser *parser, const char *help,
const char *name, bool array, int parent)
{
if (!addOption(opt, OptionKeyValue, help, name, ArgumentRequired,
"key=value[,key=value,...]", array, parent))
return false;
optionsMap_[opt]->keyValueParser = parser;
return true;
}
/**
* \brief Parse command line arguments
* \param[in] argc The number of arguments in the \a argv array
* \param[in] argv The array of arguments
*
* If a parsing error occurs, the parsing stops, the function prints an error
* message that identifies the invalid argument, prints usage information with
* usage(), and returns an invalid container. The container is populated with
* the options successfully parsed so far.
*
* \return A valid container with the list of parsed options on success, or an
* invalid container otherwise
*/
OptionsParser::Options OptionsParser::parse(int argc, char **argv)
{
OptionsParser::Options options;
/*
* Allocate short and long options arrays large enough to contain all
* options.
*/
char shortOptions[optionsMap_.size() * 3 + 2];
struct option longOptions[optionsMap_.size() + 1];
unsigned int ids = 0;
unsigned int idl = 0;
shortOptions[ids++] = ':';
for (const auto [opt, option] : optionsMap_) {
if (option->hasShortOption()) {
shortOptions[ids++] = opt;
if (option->argument != ArgumentNone)
shortOptions[ids++] = ':';
if (option->argument == ArgumentOptional)
shortOptions[ids++] = ':';
}
if (option->hasLongOption()) {
longOptions[idl].name = option->name;
switch (option->argument) {
case ArgumentNone:
longOptions[idl].has_arg = no_argument;
break;
case ArgumentRequired:
longOptions[idl].has_arg = required_argument;
break;
case ArgumentOptional:
longOptions[idl].has_arg = optional_argument;
break;
}
longOptions[idl].flag = 0;
longOptions[idl].val = option->opt;
idl++;
}
}
shortOptions[ids] = '\0';
memset(&longOptions[idl], 0, sizeof(longOptions[idl]));
opterr = 0;
while (true) {
int c = getopt_long(argc, argv, shortOptions, longOptions, nullptr);
if (c == -1)
break;
if (c == '?' || c == ':') {
if (c == '?')
std::cerr << "Invalid option ";
else
std::cerr << "Missing argument for option ";
std::cerr << argv[optind - 1] << std::endl;
usage();
return options;
}
const Option &option = *optionsMap_[c];
if (!parseValue(option, optarg, &options)) {
usage();
return options;
}
}
if (optind < argc) {
std::cerr << "Invalid non-option argument '" << argv[optind]
<< "'" << std::endl;
usage();
return options;
}
options.valid_ = true;
return options;
}
/**
* \brief Print usage text to std::cerr
*
* The usage text list all the supported option with their arguments. It is
* generated automatically from the options added to the parser. Caller of this
* function may print additional usage information for the application before
* the list of options.
*/
void OptionsParser::usage()
{
unsigned int indent = 0;
for (const auto &opt : optionsMap_) {
const Option *option = opt.second;
unsigned int length = 14;
if (option->hasLongOption())
length += 2 + strlen(option->name);
if (option->argument != ArgumentNone)
length += 1 + strlen(option->argumentName);
if (option->argument == ArgumentOptional)
length += 2;
if (option->isArray)
length += 4;
if (length > indent)
indent = length;
if (option->keyValueParser) {
length = option->keyValueParser->maxOptionLength();
if (length > indent)
indent = length;
}
}
indent = (indent + 7) / 8 * 8;
std::cerr << "Options:" << std::endl;
std::ios_base::fmtflags f(std::cerr.flags());
std::cerr << std::left;
usageOptions(options_, indent);
std::cerr.flags(f);
}
void OptionsParser::usageOptions(const std::list<Option> &options,
unsigned int indent)
{
std::vector<const Option *> parentOptions;
for (const Option &option : options) {
std::string argument;
if (option.hasShortOption())
argument = std::string(" -")
+ static_cast<char>(option.opt);
else
argument = " ";
if (option.hasLongOption()) {
if (option.hasShortOption())
argument += ", ";
else
argument += " ";
argument += std::string("--") + option.name;
}
if (option.argument != ArgumentNone) {
if (option.argument == ArgumentOptional)
argument += "[=";
else
argument += " ";
argument += option.argumentName;
if (option.argument == ArgumentOptional)
argument += "]";
}
if (option.isArray)
argument += " ...";
std::cerr << std::setw(indent) << argument;
for (const char *help = option.help, *end = help; end; ) {
end = strchr(help, '\n');
if (end) {
std::cerr << std::string(help, end - help + 1);
std::cerr << std::setw(indent) << " ";
help = end + 1;
} else {
std::cerr << help << std::endl;
}
}
if (option.keyValueParser)
option.keyValueParser->usage(indent);
if (!option.children.empty())
parentOptions.push_back(&option);
}
if (parentOptions.empty())
return;
for (const Option *option : parentOptions) {
std::cerr << std::endl << "Options valid in the context of "
<< option->optionName() << ":" << std::endl;
usageOptions(option->children, indent);
}
}
std::tuple<OptionsParser::Options *, const Option *>
OptionsParser::childOption(const Option *parent, Options *options)
{
/*
* The parent argument points to the parent of the leaf node Option,
* and the options argument to the root node of the Options tree. Use
* recursive calls to traverse the Option tree up to the root node while
* traversing the Options tree down to the leaf node:
*/
/*
* - If we have no parent, we've reached the root node of the Option
* tree, the options argument is what we need.
*/
if (!parent)
return { options, nullptr };
/*
* - If the parent has a parent, use recursion to move one level up the
* Option tree. This returns the Options corresponding to parent, or
* nullptr if a suitable Options child isn't found.
*/
if (parent->parent) {
const Option *error;
std::tie(options, error) = childOption(parent->parent, options);
/* Propagate the error all the way back up the call stack. */
if (!error)
return { options, error };
}
/*
* - The parent has no parent, we're now one level down the root.
* Return the Options child corresponding to the parent. The child may
* not exist if options are specified in an incorrect order.
*/
if (!options->isSet(parent->opt))
return { nullptr, parent };
/*
* If the child value is of array type, children are not stored in the
* value .children() list, but in the .children() of the value's array
* elements. Use the last array element in that case, as a child option
* relates to the last instance of its parent option.
*/
const OptionValue *value = &(*options)[parent->opt];
if (value->type() == OptionValue::ValueArray)
value = &value->toArray().back();
return { const_cast<Options *>(&value->children()), nullptr };
}
bool OptionsParser::parseValue(const Option &option, const char *arg,
Options *options)
{
const Option *error;
std::tie(options, error) = childOption(option.parent, options);
if (error) {
std::cerr << "Option " << option.optionName() << " requires a "
<< error->optionName() << " context" << std::endl;
return false;
}
if (!options->parseValue(option.opt, option, arg)) {
std::cerr << "Can't parse " << option.typeName()
<< " argument for option " << option.optionName()
<< std::endl;
return false;
}
return true;
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/options.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2019, Google Inc.
*
* cam - Options parsing
*/
#pragma once
#include <ctype.h>
#include <list>
#include <map>
#include <tuple>
#include <vector>
class KeyValueParser;
class OptionValue;
struct Option;
enum OptionArgument {
ArgumentNone,
ArgumentRequired,
ArgumentOptional,
};
enum OptionType {
OptionNone,
OptionInteger,
OptionString,
OptionKeyValue,
};
template<typename T>
class OptionsBase
{
public:
OptionsBase() : valid_(false) {}
bool empty() const;
bool valid() const;
bool isSet(const T &opt) const;
const OptionValue &operator[](const T &opt) const;
void invalidate();
private:
friend class KeyValueParser;
friend class OptionsParser;
bool parseValue(const T &opt, const Option &option, const char *value);
std::map<T, OptionValue> values_;
bool valid_;
};
class KeyValueParser
{
public:
class Options : public OptionsBase<std::string>
{
};
KeyValueParser();
virtual ~KeyValueParser();
bool addOption(const char *name, OptionType type, const char *help,
OptionArgument argument = ArgumentNone);
virtual Options parse(const char *arguments);
private:
KeyValueParser(const KeyValueParser &) = delete;
KeyValueParser &operator=(const KeyValueParser &) = delete;
friend class OptionsParser;
unsigned int maxOptionLength() const;
void usage(int indent);
std::map<std::string, Option> optionsMap_;
};
class OptionsParser
{
public:
class Options : public OptionsBase<int>
{
};
OptionsParser();
~OptionsParser();
bool addOption(int opt, OptionType type, const char *help,
const char *name = nullptr,
OptionArgument argument = ArgumentNone,
const char *argumentName = nullptr, bool array = false,
int parent = 0);
bool addOption(int opt, KeyValueParser *parser, const char *help,
const char *name = nullptr, bool array = false,
int parent = 0);
Options parse(int argc, char *argv[]);
void usage();
private:
OptionsParser(const OptionsParser &) = delete;
OptionsParser &operator=(const OptionsParser &) = delete;
void usageOptions(const std::list<Option> &options, unsigned int indent);
std::tuple<OptionsParser::Options *, const Option *>
childOption(const Option *parent, Options *options);
bool parseValue(const Option &option, const char *arg, Options *options);
std::list<Option> options_;
std::map<unsigned int, Option *> optionsMap_;
};
class OptionValue
{
public:
enum ValueType {
ValueNone,
ValueInteger,
ValueString,
ValueKeyValue,
ValueArray,
};
OptionValue();
OptionValue(int value);
OptionValue(const char *value);
OptionValue(const std::string &value);
OptionValue(const KeyValueParser::Options &value);
void addValue(const OptionValue &value);
ValueType type() const { return type_; }
bool empty() const { return type_ == ValueType::ValueNone; }
operator int() const;
operator std::string() const;
int toInteger() const;
std::string toString() const;
const KeyValueParser::Options &toKeyValues() const;
const std::vector<OptionValue> &toArray() const;
const OptionsParser::Options &children() const;
private:
ValueType type_;
int integer_;
std::string string_;
KeyValueParser::Options keyValues_;
std::vector<OptionValue> array_;
OptionsParser::Options children_;
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/event_loop.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2019, Google Inc.
*
* cam - Event loop
*/
#include "event_loop.h"
#include <assert.h>
#include <event2/event.h>
#include <event2/thread.h>
#include <iostream>
EventLoop *EventLoop::instance_ = nullptr;
EventLoop::EventLoop()
{
assert(!instance_);
evthread_use_pthreads();
base_ = event_base_new();
instance_ = this;
}
EventLoop::~EventLoop()
{
instance_ = nullptr;
events_.clear();
event_base_free(base_);
libevent_global_shutdown();
}
EventLoop *EventLoop::instance()
{
return instance_;
}
int EventLoop::exec()
{
exitCode_ = -1;
event_base_loop(base_, EVLOOP_NO_EXIT_ON_EMPTY);
return exitCode_;
}
void EventLoop::exit(int code)
{
exitCode_ = code;
event_base_loopbreak(base_);
}
void EventLoop::callLater(const std::function<void()> &func)
{
{
std::unique_lock<std::mutex> locker(lock_);
calls_.push_back(func);
}
event_base_once(base_, -1, EV_TIMEOUT, dispatchCallback, this, nullptr);
}
void EventLoop::addFdEvent(int fd, EventType type,
const std::function<void()> &callback)
{
std::unique_ptr<Event> event = std::make_unique<Event>(callback);
short events = (type & Read ? EV_READ : 0)
| (type & Write ? EV_WRITE : 0)
| EV_PERSIST;
event->event_ = event_new(base_, fd, events, &EventLoop::Event::dispatch,
event.get());
if (!event->event_) {
std::cerr << "Failed to create event for fd " << fd << std::endl;
return;
}
int ret = event_add(event->event_, nullptr);
if (ret < 0) {
std::cerr << "Failed to add event for fd " << fd << std::endl;
return;
}
events_.push_back(std::move(event));
}
void EventLoop::addTimerEvent(const std::chrono::microseconds period,
const std::function<void()> &callback)
{
std::unique_ptr<Event> event = std::make_unique<Event>(callback);
event->event_ = event_new(base_, -1, EV_PERSIST, &EventLoop::Event::dispatch,
event.get());
if (!event->event_) {
std::cerr << "Failed to create timer event" << std::endl;
return;
}
struct timeval tv;
tv.tv_sec = period.count() / 1000000ULL;
tv.tv_usec = period.count() % 1000000ULL;
int ret = event_add(event->event_, &tv);
if (ret < 0) {
std::cerr << "Failed to add timer event" << std::endl;
return;
}
events_.push_back(std::move(event));
}
void EventLoop::dispatchCallback([[maybe_unused]] evutil_socket_t fd,
[[maybe_unused]] short flags, void *param)
{
EventLoop *loop = static_cast<EventLoop *>(param);
loop->dispatchCall();
}
void EventLoop::dispatchCall()
{
std::function<void()> call;
{
std::unique_lock<std::mutex> locker(lock_);
if (calls_.empty())
return;
call = calls_.front();
calls_.pop_front();
}
call();
}
EventLoop::Event::Event(const std::function<void()> &callback)
: callback_(callback), event_(nullptr)
{
}
EventLoop::Event::~Event()
{
event_del(event_);
event_free(event_);
}
void EventLoop::Event::dispatch([[maybe_unused]] int fd,
[[maybe_unused]] short events, void *arg)
{
Event *event = static_cast<Event *>(arg);
event->callback_();
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/dng_writer.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2020, Raspberry Pi Ltd
*
* DNG writer
*/
#pragma once
#ifdef HAVE_TIFF
#define HAVE_DNG
#include <libcamera/camera.h>
#include <libcamera/controls.h>
#include <libcamera/framebuffer.h>
#include <libcamera/stream.h>
class DNGWriter
{
public:
static int write(const char *filename, const libcamera::Camera *camera,
const libcamera::StreamConfiguration &config,
const libcamera::ControlList &metadata,
const libcamera::FrameBuffer *buffer, const void *data);
};
#endif /* HAVE_TIFF */
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/ppm_writer.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024, Red Hat, Inc.
*
* PPM writer
*/
#pragma once
#include <libcamera/base/span.h>
#include <libcamera/stream.h>
class PPMWriter
{
public:
static int write(const char *filename,
const libcamera::StreamConfiguration &config,
const libcamera::Span<uint8_t> &data);
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/ppm_writer.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024 Red Hat, Inc.
*
* PPM writer
*/
#include "ppm_writer.h"
#include <fstream>
#include <iostream>
#include <libcamera/formats.h>
#include <libcamera/pixel_format.h>
using namespace libcamera;
int PPMWriter::write(const char *filename,
const StreamConfiguration &config,
const Span<uint8_t> &data)
{
if (config.pixelFormat != formats::BGR888) {
std::cerr << "Only BGR888 output pixel format is supported ("
<< config.pixelFormat << " requested)" << std::endl;
return -EINVAL;
}
std::ofstream output(filename, std::ios::binary);
if (!output) {
std::cerr << "Failed to open ppm file: " << filename << std::endl;
return -EINVAL;
}
output << "P6" << std::endl
<< config.size.width << " " << config.size.height << std::endl
<< "255" << std::endl;
if (!output) {
std::cerr << "Failed to write the file header" << std::endl;
return -EINVAL;
}
const unsigned int rowLength = config.size.width * 3;
const char *row = reinterpret_cast<const char *>(data.data());
for (unsigned int y = 0; y < config.size.height; y++, row += config.stride) {
output.write(row, rowLength);
if (!output) {
std::cerr << "Failed to write image data at row " << y << std::endl;
return -EINVAL;
}
}
return 0;
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/event_loop.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2019, Google Inc.
*
* cam - Event loop
*/
#pragma once
#include <chrono>
#include <functional>
#include <list>
#include <memory>
#include <mutex>
#include <event2/util.h>
struct event_base;
class EventLoop
{
public:
enum EventType {
Read = 1,
Write = 2,
};
EventLoop();
~EventLoop();
static EventLoop *instance();
int exec();
void exit(int code = 0);
void callLater(const std::function<void()> &func);
void addFdEvent(int fd, EventType type,
const std::function<void()> &handler);
using duration = std::chrono::steady_clock::duration;
void addTimerEvent(const std::chrono::microseconds period,
const std::function<void()> &handler);
private:
struct Event {
Event(const std::function<void()> &callback);
~Event();
static void dispatch(int fd, short events, void *arg);
std::function<void()> callback_;
struct event *event_;
};
static EventLoop *instance_;
struct event_base *base_;
int exitCode_;
std::list<std::function<void()>> calls_;
std::list<std::unique_ptr<Event>> events_;
std::mutex lock_;
static void dispatchCallback(evutil_socket_t fd, short flags,
void *param);
void dispatchCall();
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/common/dng_writer.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2020, Raspberry Pi Ltd
*
* DNG writer
*/
#include "dng_writer.h"
#include <algorithm>
#include <iostream>
#include <map>
#include <tiffio.h>
#include <libcamera/control_ids.h>
#include <libcamera/formats.h>
#include <libcamera/property_ids.h>
using namespace libcamera;
enum CFAPatternColour : uint8_t {
CFAPatternRed = 0,
CFAPatternGreen = 1,
CFAPatternBlue = 2,
};
struct FormatInfo {
uint8_t bitsPerSample;
CFAPatternColour pattern[4];
void (*packScanline)(void *output, const void *input,
unsigned int width);
void (*thumbScanline)(const FormatInfo &info, void *output,
const void *input, unsigned int width,
unsigned int stride);
};
struct Matrix3d {
Matrix3d()
{
}
Matrix3d(float m0, float m1, float m2,
float m3, float m4, float m5,
float m6, float m7, float m8)
{
m[0] = m0, m[1] = m1, m[2] = m2;
m[3] = m3, m[4] = m4, m[5] = m5;
m[6] = m6, m[7] = m7, m[8] = m8;
}
Matrix3d(const Span<const float> &span)
: Matrix3d(span[0], span[1], span[2],
span[3], span[4], span[5],
span[6], span[7], span[8])
{
}
static Matrix3d diag(float diag0, float diag1, float diag2)
{
return Matrix3d(diag0, 0, 0, 0, diag1, 0, 0, 0, diag2);
}
static Matrix3d identity()
{
return Matrix3d(1, 0, 0, 0, 1, 0, 0, 0, 1);
}
Matrix3d transpose() const
{
return { m[0], m[3], m[6], m[1], m[4], m[7], m[2], m[5], m[8] };
}
Matrix3d cofactors() const
{
return { m[4] * m[8] - m[5] * m[7],
-(m[3] * m[8] - m[5] * m[6]),
m[3] * m[7] - m[4] * m[6],
-(m[1] * m[8] - m[2] * m[7]),
m[0] * m[8] - m[2] * m[6],
-(m[0] * m[7] - m[1] * m[6]),
m[1] * m[5] - m[2] * m[4],
-(m[0] * m[5] - m[2] * m[3]),
m[0] * m[4] - m[1] * m[3] };
}
Matrix3d adjugate() const
{
return cofactors().transpose();
}
float determinant() const
{
return m[0] * (m[4] * m[8] - m[5] * m[7]) -
m[1] * (m[3] * m[8] - m[5] * m[6]) +
m[2] * (m[3] * m[7] - m[4] * m[6]);
}
Matrix3d inverse() const
{
return adjugate() * (1.0 / determinant());
}
Matrix3d operator*(const Matrix3d &other) const
{
Matrix3d result;
for (unsigned int i = 0; i < 3; i++) {
for (unsigned int j = 0; j < 3; j++) {
result.m[i * 3 + j] =
m[i * 3 + 0] * other.m[0 + j] +
m[i * 3 + 1] * other.m[3 + j] +
m[i * 3 + 2] * other.m[6 + j];
}
}
return result;
}
Matrix3d operator*(float f) const
{
Matrix3d result;
for (unsigned int i = 0; i < 9; i++)
result.m[i] = m[i] * f;
return result;
}
float m[9];
};
void packScanlineSBGGR8(void *output, const void *input, unsigned int width)
{
const uint8_t *in = static_cast<const uint8_t *>(input);
uint8_t *out = static_cast<uint8_t *>(output);
std::copy(in, in + width, out);
}
void packScanlineSBGGR10P(void *output, const void *input, unsigned int width)
{
const uint8_t *in = static_cast<const uint8_t *>(input);
uint8_t *out = static_cast<uint8_t *>(output);
/* \todo Can this be made more efficient? */
for (unsigned int x = 0; x < width; x += 4) {
*out++ = in[0];
*out++ = (in[4] & 0x03) << 6 | in[1] >> 2;
*out++ = (in[1] & 0x03) << 6 | (in[4] & 0x0c) << 2 | in[2] >> 4;
*out++ = (in[2] & 0x0f) << 4 | (in[4] & 0x30) >> 2 | in[3] >> 6;
*out++ = (in[3] & 0x3f) << 2 | (in[4] & 0xc0) >> 6;
in += 5;
}
}
void packScanlineSBGGR12P(void *output, const void *input, unsigned int width)
{
const uint8_t *in = static_cast<const uint8_t *>(input);
uint8_t *out = static_cast<uint8_t *>(output);
/* \todo Can this be made more efficient? */
for (unsigned int i = 0; i < width; i += 2) {
*out++ = in[0];
*out++ = (in[2] & 0x0f) << 4 | in[1] >> 4;
*out++ = (in[1] & 0x0f) << 4 | in[2] >> 4;
in += 3;
}
}
void thumbScanlineSBGGRxxP(const FormatInfo &info, void *output,
const void *input, unsigned int width,
unsigned int stride)
{
const uint8_t *in = static_cast<const uint8_t *>(input);
uint8_t *out = static_cast<uint8_t *>(output);
/* Number of bytes corresponding to 16 pixels. */
unsigned int skip = info.bitsPerSample * 16 / 8;
for (unsigned int x = 0; x < width; x++) {
uint8_t value = (in[0] + in[1] + in[stride] + in[stride + 1]) >> 2;
*out++ = value;
*out++ = value;
*out++ = value;
in += skip;
}
}
void packScanlineIPU3(void *output, const void *input, unsigned int width)
{
const uint8_t *in = static_cast<const uint8_t *>(input);
uint16_t *out = static_cast<uint16_t *>(output);
/*
* Upscale the 10-bit format to 16-bit as it's not trivial to pack it
* as 10-bit without gaps.
*
* \todo Improve packing to keep the 10-bit sample size.
*/
unsigned int x = 0;
while (true) {
for (unsigned int i = 0; i < 6; i++) {
*out++ = (in[1] & 0x03) << 14 | (in[0] & 0xff) << 6;
if (++x >= width)
return;
*out++ = (in[2] & 0x0f) << 12 | (in[1] & 0xfc) << 4;
if (++x >= width)
return;
*out++ = (in[3] & 0x3f) << 10 | (in[2] & 0xf0) << 2;
if (++x >= width)
return;
*out++ = (in[4] & 0xff) << 8 | (in[3] & 0xc0) << 0;
if (++x >= width)
return;
in += 5;
}
*out++ = (in[1] & 0x03) << 14 | (in[0] & 0xff) << 6;
if (++x >= width)
return;
in += 2;
}
}
void thumbScanlineIPU3([[maybe_unused]] const FormatInfo &info, void *output,
const void *input, unsigned int width,
unsigned int stride)
{
uint8_t *out = static_cast<uint8_t *>(output);
for (unsigned int x = 0; x < width; x++) {
unsigned int pixel = x * 16;
unsigned int block = pixel / 25;
unsigned int pixelInBlock = pixel - block * 25;
/*
* If the pixel is the last in the block cheat a little and
* move one pixel backward to avoid reading between two blocks
* and having to deal with the padding bits.
*/
if (pixelInBlock == 24)
pixelInBlock--;
const uint8_t *in = static_cast<const uint8_t *>(input)
+ block * 32 + (pixelInBlock / 4) * 5;
uint16_t val1, val2, val3, val4;
switch (pixelInBlock % 4) {
default:
case 0:
val1 = (in[1] & 0x03) << 14 | (in[0] & 0xff) << 6;
val2 = (in[2] & 0x0f) << 12 | (in[1] & 0xfc) << 4;
val3 = (in[stride + 1] & 0x03) << 14 | (in[stride + 0] & 0xff) << 6;
val4 = (in[stride + 2] & 0x0f) << 12 | (in[stride + 1] & 0xfc) << 4;
break;
case 1:
val1 = (in[2] & 0x0f) << 12 | (in[1] & 0xfc) << 4;
val2 = (in[3] & 0x3f) << 10 | (in[2] & 0xf0) << 2;
val3 = (in[stride + 2] & 0x0f) << 12 | (in[stride + 1] & 0xfc) << 4;
val4 = (in[stride + 3] & 0x3f) << 10 | (in[stride + 2] & 0xf0) << 2;
break;
case 2:
val1 = (in[3] & 0x3f) << 10 | (in[2] & 0xf0) << 2;
val2 = (in[4] & 0xff) << 8 | (in[3] & 0xc0) << 0;
val3 = (in[stride + 3] & 0x3f) << 10 | (in[stride + 2] & 0xf0) << 2;
val4 = (in[stride + 4] & 0xff) << 8 | (in[stride + 3] & 0xc0) << 0;
break;
case 3:
val1 = (in[4] & 0xff) << 8 | (in[3] & 0xc0) << 0;
val2 = (in[6] & 0x03) << 14 | (in[5] & 0xff) << 6;
val3 = (in[stride + 4] & 0xff) << 8 | (in[stride + 3] & 0xc0) << 0;
val4 = (in[stride + 6] & 0x03) << 14 | (in[stride + 5] & 0xff) << 6;
break;
}
uint8_t value = (val1 + val2 + val3 + val4) >> 10;
*out++ = value;
*out++ = value;
*out++ = value;
}
}
static const std::map<PixelFormat, FormatInfo> formatInfo = {
{ formats::SBGGR8, {
.bitsPerSample = 8,
.pattern = { CFAPatternBlue, CFAPatternGreen, CFAPatternGreen, CFAPatternRed },
.packScanline = packScanlineSBGGR8,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SGBRG8, {
.bitsPerSample = 8,
.pattern = { CFAPatternGreen, CFAPatternBlue, CFAPatternRed, CFAPatternGreen },
.packScanline = packScanlineSBGGR8,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SGRBG8, {
.bitsPerSample = 8,
.pattern = { CFAPatternGreen, CFAPatternRed, CFAPatternBlue, CFAPatternGreen },
.packScanline = packScanlineSBGGR8,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SRGGB8, {
.bitsPerSample = 8,
.pattern = { CFAPatternRed, CFAPatternGreen, CFAPatternGreen, CFAPatternBlue },
.packScanline = packScanlineSBGGR8,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SBGGR10_CSI2P, {
.bitsPerSample = 10,
.pattern = { CFAPatternBlue, CFAPatternGreen, CFAPatternGreen, CFAPatternRed },
.packScanline = packScanlineSBGGR10P,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SGBRG10_CSI2P, {
.bitsPerSample = 10,
.pattern = { CFAPatternGreen, CFAPatternBlue, CFAPatternRed, CFAPatternGreen },
.packScanline = packScanlineSBGGR10P,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SGRBG10_CSI2P, {
.bitsPerSample = 10,
.pattern = { CFAPatternGreen, CFAPatternRed, CFAPatternBlue, CFAPatternGreen },
.packScanline = packScanlineSBGGR10P,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SRGGB10_CSI2P, {
.bitsPerSample = 10,
.pattern = { CFAPatternRed, CFAPatternGreen, CFAPatternGreen, CFAPatternBlue },
.packScanline = packScanlineSBGGR10P,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SBGGR12_CSI2P, {
.bitsPerSample = 12,
.pattern = { CFAPatternBlue, CFAPatternGreen, CFAPatternGreen, CFAPatternRed },
.packScanline = packScanlineSBGGR12P,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SGBRG12_CSI2P, {
.bitsPerSample = 12,
.pattern = { CFAPatternGreen, CFAPatternBlue, CFAPatternRed, CFAPatternGreen },
.packScanline = packScanlineSBGGR12P,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SGRBG12_CSI2P, {
.bitsPerSample = 12,
.pattern = { CFAPatternGreen, CFAPatternRed, CFAPatternBlue, CFAPatternGreen },
.packScanline = packScanlineSBGGR12P,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SRGGB12_CSI2P, {
.bitsPerSample = 12,
.pattern = { CFAPatternRed, CFAPatternGreen, CFAPatternGreen, CFAPatternBlue },
.packScanline = packScanlineSBGGR12P,
.thumbScanline = thumbScanlineSBGGRxxP,
} },
{ formats::SBGGR10_IPU3, {
.bitsPerSample = 16,
.pattern = { CFAPatternBlue, CFAPatternGreen, CFAPatternGreen, CFAPatternRed },
.packScanline = packScanlineIPU3,
.thumbScanline = thumbScanlineIPU3,
} },
{ formats::SGBRG10_IPU3, {
.bitsPerSample = 16,
.pattern = { CFAPatternGreen, CFAPatternBlue, CFAPatternRed, CFAPatternGreen },
.packScanline = packScanlineIPU3,
.thumbScanline = thumbScanlineIPU3,
} },
{ formats::SGRBG10_IPU3, {
.bitsPerSample = 16,
.pattern = { CFAPatternGreen, CFAPatternRed, CFAPatternBlue, CFAPatternGreen },
.packScanline = packScanlineIPU3,
.thumbScanline = thumbScanlineIPU3,
} },
{ formats::SRGGB10_IPU3, {
.bitsPerSample = 16,
.pattern = { CFAPatternRed, CFAPatternGreen, CFAPatternGreen, CFAPatternBlue },
.packScanline = packScanlineIPU3,
.thumbScanline = thumbScanlineIPU3,
} },
};
int DNGWriter::write(const char *filename, const Camera *camera,
const StreamConfiguration &config,
const ControlList &metadata,
[[maybe_unused]] const FrameBuffer *buffer,
const void *data)
{
const ControlList &cameraProperties = camera->properties();
const auto it = formatInfo.find(config.pixelFormat);
if (it == formatInfo.cend()) {
std::cerr << "Unsupported pixel format" << std::endl;
return -EINVAL;
}
const FormatInfo *info = &it->second;
TIFF *tif = TIFFOpen(filename, "w");
if (!tif) {
std::cerr << "Failed to open tiff file" << std::endl;
return -EINVAL;
}
/*
* Scanline buffer, has to be large enough to store both a RAW scanline
* or a thumbnail scanline. The latter will always be much smaller than
* the former as we downscale by 16 in both directions.
*/
uint8_t scanline[(config.size.width * info->bitsPerSample + 7) / 8];
toff_t rawIFDOffset = 0;
toff_t exifIFDOffset = 0;
/*
* Start with a thumbnail in IFD 0 for compatibility with TIFF baseline
* readers, as required by the TIFF/EP specification. Tags that apply to
* the whole file are stored here.
*/
const uint8_t version[] = { 1, 2, 0, 0 };
TIFFSetField(tif, TIFFTAG_DNGVERSION, version);
TIFFSetField(tif, TIFFTAG_DNGBACKWARDVERSION, version);
TIFFSetField(tif, TIFFTAG_FILLORDER, FILLORDER_MSB2LSB);
TIFFSetField(tif, TIFFTAG_MAKE, "libcamera");
const auto &model = cameraProperties.get(properties::Model);
if (model) {
TIFFSetField(tif, TIFFTAG_MODEL, model->c_str());
/* \todo set TIFFTAG_UNIQUECAMERAMODEL. */
}
TIFFSetField(tif, TIFFTAG_SOFTWARE, "qcam");
TIFFSetField(tif, TIFFTAG_ORIENTATION, ORIENTATION_TOPLEFT);
/*
* Thumbnail-specific tags. The thumbnail is stored as an RGB image
* with 1/16 of the raw image resolution. Greyscale would save space,
* but doesn't seem well supported by RawTherapee.
*/
TIFFSetField(tif, TIFFTAG_SUBFILETYPE, FILETYPE_REDUCEDIMAGE);
TIFFSetField(tif, TIFFTAG_IMAGEWIDTH, config.size.width / 16);
TIFFSetField(tif, TIFFTAG_IMAGELENGTH, config.size.height / 16);
TIFFSetField(tif, TIFFTAG_BITSPERSAMPLE, 8);
TIFFSetField(tif, TIFFTAG_COMPRESSION, COMPRESSION_NONE);
TIFFSetField(tif, TIFFTAG_PHOTOMETRIC, PHOTOMETRIC_RGB);
TIFFSetField(tif, TIFFTAG_SAMPLESPERPIXEL, 3);
TIFFSetField(tif, TIFFTAG_PLANARCONFIG, PLANARCONFIG_CONTIG);
TIFFSetField(tif, TIFFTAG_SAMPLEFORMAT, SAMPLEFORMAT_UINT);
/*
* Fill in some reasonable colour information in the DNG. We supply
* the "neutral" colour values which determine the white balance, and the
* "ColorMatrix1" which converts XYZ to (un-white-balanced) camera RGB.
* Note that this is not a "proper" colour calibration for the DNG,
* nonetheless, many tools should be able to render the colours better.
*/
float neutral[3] = { 1, 1, 1 };
Matrix3d wbGain = Matrix3d::identity();
/* From http://www.brucelindbloom.com/index.html?Eqn_RGB_XYZ_Matrix.html */
const Matrix3d rgb2xyz(0.4124564, 0.3575761, 0.1804375,
0.2126729, 0.7151522, 0.0721750,
0.0193339, 0.1191920, 0.9503041);
Matrix3d ccm = Matrix3d::identity();
/*
* Pick a reasonable number eps to protect against singularities. It
* should be comfortably larger than the point at which we run into
* numerical trouble, yet smaller than any plausible gain that we might
* apply to a colour, either explicitly or as part of the colour matrix.
*/
const double eps = 1e-2;
const auto &colourGains = metadata.get(controls::ColourGains);
if (colourGains) {
if ((*colourGains)[0] > eps && (*colourGains)[1] > eps) {
wbGain = Matrix3d::diag((*colourGains)[0], 1, (*colourGains)[1]);
neutral[0] = 1.0 / (*colourGains)[0]; /* red */
neutral[2] = 1.0 / (*colourGains)[1]; /* blue */
}
}
const auto &ccmControl = metadata.get(controls::ColourCorrectionMatrix);
if (ccmControl) {
Matrix3d ccmSupplied(*ccmControl);
if (ccmSupplied.determinant() > eps)
ccm = ccmSupplied;
}
/*
* rgb2xyz is known to be invertible, and we've ensured above that both
* the ccm and wbGain matrices are non-singular, so the product of all
* three is guaranteed to be invertible too.
*/
Matrix3d colorMatrix1 = (rgb2xyz * ccm * wbGain).inverse();
TIFFSetField(tif, TIFFTAG_COLORMATRIX1, 9, colorMatrix1.m);
TIFFSetField(tif, TIFFTAG_ASSHOTNEUTRAL, 3, neutral);
/*
* Reserve space for the SubIFD and ExifIFD tags, pointing to the IFD
* for the raw image and EXIF data respectively. The real offsets will
* be set later.
*/
TIFFSetField(tif, TIFFTAG_SUBIFD, 1, &rawIFDOffset);
TIFFSetField(tif, TIFFTAG_EXIFIFD, exifIFDOffset);
/* Write the thumbnail. */
const uint8_t *row = static_cast<const uint8_t *>(data);
for (unsigned int y = 0; y < config.size.height / 16; y++) {
info->thumbScanline(*info, &scanline, row,
config.size.width / 16, config.stride);
if (TIFFWriteScanline(tif, &scanline, y, 0) != 1) {
std::cerr << "Failed to write thumbnail scanline"
<< std::endl;
TIFFClose(tif);
return -EINVAL;
}
row += config.stride * 16;
}
TIFFWriteDirectory(tif);
/* Create a new IFD for the RAW image. */
const uint16_t cfaRepeatPatternDim[] = { 2, 2 };
const uint8_t cfaPlaneColor[] = {
CFAPatternRed,
CFAPatternGreen,
CFAPatternBlue
};
TIFFSetField(tif, TIFFTAG_SUBFILETYPE, 0);
TIFFSetField(tif, TIFFTAG_IMAGEWIDTH, config.size.width);
TIFFSetField(tif, TIFFTAG_IMAGELENGTH, config.size.height);
TIFFSetField(tif, TIFFTAG_BITSPERSAMPLE, info->bitsPerSample);
TIFFSetField(tif, TIFFTAG_COMPRESSION, COMPRESSION_NONE);
TIFFSetField(tif, TIFFTAG_PHOTOMETRIC, PHOTOMETRIC_CFA);
TIFFSetField(tif, TIFFTAG_SAMPLESPERPIXEL, 1);
TIFFSetField(tif, TIFFTAG_PLANARCONFIG, PLANARCONFIG_CONTIG);
TIFFSetField(tif, TIFFTAG_SAMPLEFORMAT, SAMPLEFORMAT_UINT);
TIFFSetField(tif, TIFFTAG_CFAREPEATPATTERNDIM, cfaRepeatPatternDim);
if (TIFFLIB_VERSION < 20201219)
TIFFSetField(tif, TIFFTAG_CFAPATTERN, info->pattern);
else
TIFFSetField(tif, TIFFTAG_CFAPATTERN, 4, info->pattern);
TIFFSetField(tif, TIFFTAG_CFAPLANECOLOR, 3, cfaPlaneColor);
TIFFSetField(tif, TIFFTAG_CFALAYOUT, 1);
const uint16_t blackLevelRepeatDim[] = { 2, 2 };
float blackLevel[] = { 0.0f, 0.0f, 0.0f, 0.0f };
uint32_t whiteLevel = (1 << info->bitsPerSample) - 1;
const auto &blackLevels = metadata.get(controls::SensorBlackLevels);
if (blackLevels) {
Span<const int32_t, 4> levels = *blackLevels;
/*
* The black levels control is specified in R, Gr, Gb, B order.
* Map it to the TIFF tag that is specified in CFA pattern
* order.
*/
unsigned int green = (info->pattern[0] == CFAPatternRed ||
info->pattern[1] == CFAPatternRed)
? 0 : 1;
for (unsigned int i = 0; i < 4; ++i) {
unsigned int level;
switch (info->pattern[i]) {
case CFAPatternRed:
level = levels[0];
break;
case CFAPatternGreen:
level = levels[green + 1];
green = (green + 1) % 2;
break;
case CFAPatternBlue:
default:
level = levels[3];
break;
}
/* Map the 16-bit value to the bits per sample range. */
blackLevel[i] = level >> (16 - info->bitsPerSample);
}
}
TIFFSetField(tif, TIFFTAG_BLACKLEVELREPEATDIM, &blackLevelRepeatDim);
TIFFSetField(tif, TIFFTAG_BLACKLEVEL, 4, &blackLevel);
TIFFSetField(tif, TIFFTAG_WHITELEVEL, 1, &whiteLevel);
/* Write RAW content. */
row = static_cast<const uint8_t *>(data);
for (unsigned int y = 0; y < config.size.height; y++) {
info->packScanline(&scanline, row, config.size.width);
if (TIFFWriteScanline(tif, &scanline, y, 0) != 1) {
std::cerr << "Failed to write RAW scanline"
<< std::endl;
TIFFClose(tif);
return -EINVAL;
}
row += config.stride;
}
/* Checkpoint the IFD to retrieve its offset, and write it out. */
TIFFCheckpointDirectory(tif);
rawIFDOffset = TIFFCurrentDirOffset(tif);
TIFFWriteDirectory(tif);
/* Create a new IFD for the EXIF data and fill it. */
TIFFCreateEXIFDirectory(tif);
/* Store creation time. */
time_t rawtime;
struct tm *timeinfo;
char strTime[20];
time(&rawtime);
timeinfo = localtime(&rawtime);
strftime(strTime, 20, "%Y:%m:%d %H:%M:%S", timeinfo);
/*
* \todo Handle timezone information by setting OffsetTimeOriginal and
* OffsetTimeDigitized once libtiff catches up to the specification and
* has EXIFTAG_ defines to handle them.
*/
TIFFSetField(tif, EXIFTAG_DATETIMEORIGINAL, strTime);
TIFFSetField(tif, EXIFTAG_DATETIMEDIGITIZED, strTime);
const auto &analogGain = metadata.get(controls::AnalogueGain);
if (analogGain) {
uint16_t iso = std::min(std::max(*analogGain * 100, 0.0f), 65535.0f);
TIFFSetField(tif, EXIFTAG_ISOSPEEDRATINGS, 1, &iso);
}
const auto &exposureTime = metadata.get(controls::ExposureTime);
if (exposureTime)
TIFFSetField(tif, EXIFTAG_EXPOSURETIME, *exposureTime / 1e6);
TIFFWriteCustomDirectory(tif, &exifIFDOffset);
/* Update the IFD offsets and close the file. */
TIFFSetDirectory(tif, 0);
TIFFSetField(tif, TIFFTAG_SUBIFD, 1, &rawIFDOffset);
TIFFSetField(tif, TIFFTAG_EXIFIFD, exifIFDOffset);
TIFFWriteDirectory(tif);
TIFFClose(tif);
return 0;
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/capture_script.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2022, Ideas on Board Oy
*
* Capture session configuration script
*/
#include "capture_script.h"
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
using namespace libcamera;
CaptureScript::CaptureScript(std::shared_ptr<Camera> camera,
const std::string &fileName)
: camera_(camera), loop_(0), valid_(false)
{
FILE *fh = fopen(fileName.c_str(), "r");
if (!fh) {
int ret = -errno;
std::cerr << "Failed to open capture script " << fileName
<< ": " << strerror(-ret) << std::endl;
return;
}
/*
* Map the camera's controls to their name so that they can be
* easily identified when parsing the script file.
*/
for (const auto &[control, info] : camera_->controls())
controls_[control->name()] = control;
int ret = parseScript(fh);
fclose(fh);
if (ret)
return;
valid_ = true;
}
/* Retrieve the control list associated with a frame number. */
const ControlList &CaptureScript::frameControls(unsigned int frame)
{
static ControlList controls{};
unsigned int idx = frame;
/* If we loop, repeat the controls every 'loop_' frames. */
if (loop_)
idx = frame % loop_;
auto it = frameControls_.find(idx);
if (it == frameControls_.end())
return controls;
return it->second;
}
CaptureScript::EventPtr CaptureScript::nextEvent(yaml_event_type_t expectedType)
{
EventPtr event(new yaml_event_t);
if (!yaml_parser_parse(&parser_, event.get()))
return nullptr;
if (expectedType != YAML_NO_EVENT && !checkEvent(event, expectedType))
return nullptr;
return event;
}
bool CaptureScript::checkEvent(const EventPtr &event, yaml_event_type_t expectedType) const
{
if (event->type != expectedType) {
std::cerr << "Capture script error on line " << event->start_mark.line
<< " column " << event->start_mark.column << ": "
<< "Expected " << eventTypeName(expectedType)
<< " event, got " << eventTypeName(event->type)
<< std::endl;
return false;
}
return true;
}
std::string CaptureScript::eventScalarValue(const EventPtr &event)
{
return std::string(reinterpret_cast<char *>(event->data.scalar.value),
event->data.scalar.length);
}
std::string CaptureScript::eventTypeName(yaml_event_type_t type)
{
static const std::map<yaml_event_type_t, std::string> typeNames = {
{ YAML_STREAM_START_EVENT, "stream-start" },
{ YAML_STREAM_END_EVENT, "stream-end" },
{ YAML_DOCUMENT_START_EVENT, "document-start" },
{ YAML_DOCUMENT_END_EVENT, "document-end" },
{ YAML_ALIAS_EVENT, "alias" },
{ YAML_SCALAR_EVENT, "scalar" },
{ YAML_SEQUENCE_START_EVENT, "sequence-start" },
{ YAML_SEQUENCE_END_EVENT, "sequence-end" },
{ YAML_MAPPING_START_EVENT, "mapping-start" },
{ YAML_MAPPING_END_EVENT, "mapping-end" },
};
auto it = typeNames.find(type);
if (it == typeNames.end())
return "[type " + std::to_string(type) + "]";
return it->second;
}
int CaptureScript::parseScript(FILE *script)
{
int ret = yaml_parser_initialize(&parser_);
if (!ret) {
std::cerr << "Failed to initialize yaml parser" << std::endl;
return ret;
}
/* Delete the parser upon function exit. */
struct ParserDeleter {
ParserDeleter(yaml_parser_t *parser) : parser_(parser) { }
~ParserDeleter() { yaml_parser_delete(parser_); }
yaml_parser_t *parser_;
} deleter(&parser_);
yaml_parser_set_input_file(&parser_, script);
EventPtr event = nextEvent(YAML_STREAM_START_EVENT);
if (!event)
return -EINVAL;
event = nextEvent(YAML_DOCUMENT_START_EVENT);
if (!event)
return -EINVAL;
event = nextEvent(YAML_MAPPING_START_EVENT);
if (!event)
return -EINVAL;
while (1) {
event = nextEvent();
if (!event)
return -EINVAL;
if (event->type == YAML_MAPPING_END_EVENT)
return 0;
if (!checkEvent(event, YAML_SCALAR_EVENT))
return -EINVAL;
std::string section = eventScalarValue(event);
if (section == "properties") {
ret = parseProperties();
if (ret)
return ret;
} else if (section == "frames") {
ret = parseFrames();
if (ret)
return ret;
} else {
std::cerr << "Unsupported section '" << section << "'"
<< std::endl;
return -EINVAL;
}
}
}
int CaptureScript::parseProperty()
{
EventPtr event = nextEvent(YAML_MAPPING_START_EVENT);
if (!event)
return -EINVAL;
std::string prop = parseScalar();
if (prop.empty())
return -EINVAL;
if (prop == "loop") {
event = nextEvent();
if (!event)
return -EINVAL;
std::string value = eventScalarValue(event);
if (value.empty())
return -EINVAL;
loop_ = atoi(value.c_str());
if (!loop_) {
std::cerr << "Invalid loop limit '" << loop_ << "'"
<< std::endl;
return -EINVAL;
}
} else {
std::cerr << "Unsupported property '" << prop << "'" << std::endl;
return -EINVAL;
}
event = nextEvent(YAML_MAPPING_END_EVENT);
if (!event)
return -EINVAL;
return 0;
}
int CaptureScript::parseProperties()
{
EventPtr event = nextEvent(YAML_SEQUENCE_START_EVENT);
if (!event)
return -EINVAL;
while (1) {
if (event->type == YAML_SEQUENCE_END_EVENT)
return 0;
int ret = parseProperty();
if (ret)
return ret;
event = nextEvent();
if (!event)
return -EINVAL;
}
return 0;
}
int CaptureScript::parseFrames()
{
EventPtr event = nextEvent(YAML_SEQUENCE_START_EVENT);
if (!event)
return -EINVAL;
while (1) {
event = nextEvent();
if (!event)
return -EINVAL;
if (event->type == YAML_SEQUENCE_END_EVENT)
return 0;
int ret = parseFrame(std::move(event));
if (ret)
return ret;
}
}
int CaptureScript::parseFrame(EventPtr event)
{
if (!checkEvent(event, YAML_MAPPING_START_EVENT))
return -EINVAL;
std::string key = parseScalar();
if (key.empty())
return -EINVAL;
unsigned int frameId = atoi(key.c_str());
if (loop_ && frameId >= loop_) {
std::cerr
<< "Frame id (" << frameId << ") shall be smaller than"
<< "loop limit (" << loop_ << ")" << std::endl;
return -EINVAL;
}
event = nextEvent(YAML_MAPPING_START_EVENT);
if (!event)
return -EINVAL;
ControlList controls{};
while (1) {
event = nextEvent();
if (!event)
return -EINVAL;
if (event->type == YAML_MAPPING_END_EVENT)
break;
int ret = parseControl(std::move(event), controls);
if (ret)
return ret;
}
frameControls_[frameId] = std::move(controls);
event = nextEvent(YAML_MAPPING_END_EVENT);
if (!event)
return -EINVAL;
return 0;
}
int CaptureScript::parseControl(EventPtr event, ControlList &controls)
{
/* We expect a value after a key. */
std::string name = eventScalarValue(event);
if (name.empty())
return -EINVAL;
/* If the camera does not support the control just ignore it. */
auto it = controls_.find(name);
if (it == controls_.end()) {
std::cerr << "Unsupported control '" << name << "'" << std::endl;
return -EINVAL;
}
const ControlId *controlId = it->second;
ControlValue val = unpackControl(controlId);
if (val.isNone()) {
std::cerr << "Error unpacking control '" << name << "'"
<< std::endl;
return -EINVAL;
}
controls.set(controlId->id(), val);
return 0;
}
std::string CaptureScript::parseScalar()
{
EventPtr event = nextEvent(YAML_SCALAR_EVENT);
if (!event)
return "";
return eventScalarValue(event);
}
ControlValue CaptureScript::parseRectangles()
{
std::vector<libcamera::Rectangle> rectangles;
std::vector<std::vector<std::string>> arrays = parseArrays();
if (arrays.empty())
return {};
for (const std::vector<std::string> &values : arrays) {
if (values.size() != 4) {
std::cerr << "Error parsing Rectangle: expected "
<< "array with 4 parameters" << std::endl;
return {};
}
Rectangle rect = unpackRectangle(values);
rectangles.push_back(rect);
}
ControlValue controlValue;
if (rectangles.size() == 1)
controlValue.set(rectangles.at(0));
else
controlValue.set(Span<const Rectangle>(rectangles));
return controlValue;
}
std::vector<std::vector<std::string>> CaptureScript::parseArrays()
{
EventPtr event = nextEvent(YAML_SEQUENCE_START_EVENT);
if (!event)
return {};
event = nextEvent();
if (!event)
return {};
std::vector<std::vector<std::string>> valueArrays;
/* Parse single array. */
if (event->type == YAML_SCALAR_EVENT) {
std::string firstValue = eventScalarValue(event);
if (firstValue.empty())
return {};
std::vector<std::string> remaining = parseSingleArray();
std::vector<std::string> values = { firstValue };
values.insert(std::end(values),
std::begin(remaining), std::end(remaining));
valueArrays.push_back(values);
return valueArrays;
}
/* Parse array of arrays. */
while (1) {
switch (event->type) {
case YAML_SEQUENCE_START_EVENT: {
std::vector<std::string> values = parseSingleArray();
valueArrays.push_back(values);
break;
}
case YAML_SEQUENCE_END_EVENT:
return valueArrays;
default:
return {};
}
event = nextEvent();
if (!event)
return {};
}
}
std::vector<std::string> CaptureScript::parseSingleArray()
{
std::vector<std::string> values;
while (1) {
EventPtr event = nextEvent();
if (!event)
return {};
switch (event->type) {
case YAML_SCALAR_EVENT: {
std::string value = eventScalarValue(event);
if (value.empty())
return {};
values.push_back(value);
break;
}
case YAML_SEQUENCE_END_EVENT:
return values;
default:
return {};
}
}
}
void CaptureScript::unpackFailure(const ControlId *id, const std::string &repr)
{
static const std::map<unsigned int, const char *> typeNames = {
{ ControlTypeNone, "none" },
{ ControlTypeBool, "bool" },
{ ControlTypeByte, "byte" },
{ ControlTypeInteger32, "int32" },
{ ControlTypeInteger64, "int64" },
{ ControlTypeFloat, "float" },
{ ControlTypeString, "string" },
{ ControlTypeRectangle, "Rectangle" },
{ ControlTypeSize, "Size" },
};
const char *typeName;
auto it = typeNames.find(id->type());
if (it != typeNames.end())
typeName = it->second;
else
typeName = "unknown";
std::cerr << "Unsupported control '" << repr << "' for "
<< typeName << " control " << id->name() << std::endl;
}
ControlValue CaptureScript::parseScalarControl(const ControlId *id,
const std::string repr)
{
ControlValue value{};
switch (id->type()) {
case ControlTypeNone:
break;
case ControlTypeBool: {
bool val;
if (repr == "true") {
val = true;
} else if (repr == "false") {
val = false;
} else {
unpackFailure(id, repr);
return value;
}
value.set<bool>(val);
break;
}
case ControlTypeByte: {
uint8_t val = strtol(repr.c_str(), NULL, 10);
value.set<uint8_t>(val);
break;
}
case ControlTypeInteger32: {
int32_t val = strtol(repr.c_str(), NULL, 10);
value.set<int32_t>(val);
break;
}
case ControlTypeInteger64: {
int64_t val = strtoll(repr.c_str(), NULL, 10);
value.set<int64_t>(val);
break;
}
case ControlTypeFloat: {
float val = strtof(repr.c_str(), NULL);
value.set<float>(val);
break;
}
case ControlTypeString: {
value.set<std::string>(repr);
break;
}
default:
std::cerr << "Unsupported control type" << std::endl;
break;
}
return value;
}
ControlValue CaptureScript::parseArrayControl(const ControlId *id,
const std::vector<std::string> &repr)
{
ControlValue value{};
switch (id->type()) {
case ControlTypeNone:
break;
case ControlTypeBool: {
/*
* This is unpleasant, but we cannot use an std::vector<> as its
* boolean type overload does not allow to access the raw data,
* as boolean values are stored in a bitmask for efficiency.
*
* As we need a contiguous memory region to wrap in a Span<>,
* use an array instead but be strict about not overflowing it
* by limiting the number of controls we can store.
*
* Be loud but do not fail, as the issue would present at
* runtime and it's not fatal.
*/
static constexpr unsigned int kMaxNumBooleanControls = 1024;
std::array<bool, kMaxNumBooleanControls> values;
unsigned int idx = 0;
for (const std::string &s : repr) {
bool val;
if (s == "true") {
val = true;
} else if (s == "false") {
val = false;
} else {
unpackFailure(id, s);
return value;
}
if (idx == kMaxNumBooleanControls) {
std::cerr << "Cannot parse more than "
<< kMaxNumBooleanControls
<< " boolean controls" << std::endl;
break;
}
values[idx++] = val;
}
value = Span<bool>(values.data(), idx);
break;
}
case ControlTypeByte: {
std::vector<uint8_t> values;
for (const std::string &s : repr) {
uint8_t val = strtoll(s.c_str(), NULL, 10);
values.push_back(val);
}
value = Span<const uint8_t>(values.data(), values.size());
break;
}
case ControlTypeInteger32: {
std::vector<int32_t> values;
for (const std::string &s : repr) {
int32_t val = strtoll(s.c_str(), NULL, 10);
values.push_back(val);
}
value = Span<const int32_t>(values.data(), values.size());
break;
}
case ControlTypeInteger64: {
std::vector<int64_t> values;
for (const std::string &s : repr) {
int64_t val = strtoll(s.c_str(), NULL, 10);
values.push_back(val);
}
value = Span<const int64_t>(values.data(), values.size());
break;
}
case ControlTypeFloat: {
std::vector<float> values;
for (const std::string &s : repr)
values.push_back(strtof(s.c_str(), NULL));
value = Span<const float>(values.data(), values.size());
break;
}
case ControlTypeString: {
value = Span<const std::string>(repr.data(), repr.size());
break;
}
default:
std::cerr << "Unsupported control type" << std::endl;
break;
}
return value;
}
ControlValue CaptureScript::unpackControl(const ControlId *id)
{
/* Parse complex types. */
switch (id->type()) {
case ControlTypeRectangle:
return parseRectangles();
case ControlTypeSize:
/* \todo Parse Sizes. */
return {};
default:
break;
}
/* Check if the control has a single scalar value or is an array. */
EventPtr event = nextEvent();
if (!event)
return {};
switch (event->type) {
case YAML_SCALAR_EVENT: {
const std::string repr = eventScalarValue(event);
if (repr.empty())
return {};
return parseScalarControl(id, repr);
}
case YAML_SEQUENCE_START_EVENT: {
std::vector<std::string> array = parseSingleArray();
if (array.empty())
return {};
return parseArrayControl(id, array);
}
default:
std::cerr << "Unexpected event type: " << event->type << std::endl;
return {};
}
}
libcamera::Rectangle CaptureScript::unpackRectangle(const std::vector<std::string> &strVec)
{
int x = strtol(strVec[0].c_str(), NULL, 10);
int y = strtol(strVec[1].c_str(), NULL, 10);
unsigned int width = strtoul(strVec[2].c_str(), NULL, 10);
unsigned int height = strtoul(strVec[3].c_str(), NULL, 10);
return Rectangle(x, y, width, height);
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/camera_session.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2019, Google Inc.
*
* Camera capture session
*/
#include <iomanip>
#include <iostream>
#include <limits.h>
#include <sstream>
#include <libcamera/control_ids.h>
#include <libcamera/property_ids.h>
#include "../common/event_loop.h"
#include "../common/stream_options.h"
#include "camera_session.h"
#include "capture_script.h"
#include "file_sink.h"
#ifdef HAVE_KMS
#include "kms_sink.h"
#endif
#include "main.h"
#ifdef HAVE_SDL
#include "sdl_sink.h"
#endif
using namespace libcamera;
CameraSession::CameraSession(CameraManager *cm,
const std::string &cameraId,
unsigned int cameraIndex,
const OptionsParser::Options &options)
: options_(options), cameraIndex_(cameraIndex), last_(0),
queueCount_(0), captureCount_(0), captureLimit_(0),
printMetadata_(false)
{
char *endptr;
unsigned long index = strtoul(cameraId.c_str(), &endptr, 10);
if (*endptr == '\0' && index > 0) {
auto cameras = cm->cameras();
if (index <= cameras.size())
camera_ = cameras[index - 1];
}
if (!camera_)
camera_ = cm->get(cameraId);
if (!camera_) {
std::cerr << "Camera " << cameraId << " not found" << std::endl;
return;
}
if (camera_->acquire()) {
std::cerr << "Failed to acquire camera " << cameraId
<< std::endl;
return;
}
std::vector<StreamRole> roles = StreamKeyValueParser::roles(options_[OptStream]);
std::unique_ptr<CameraConfiguration> config =
camera_->generateConfiguration(roles);
if (!config || config->size() != roles.size()) {
std::cerr << "Failed to get default stream configuration"
<< std::endl;
return;
}
if (options_.isSet(OptOrientation)) {
std::string orientOpt = options_[OptOrientation].toString();
static const std::map<std::string, libcamera::Orientation> orientations{
{ "rot0", libcamera::Orientation::Rotate0 },
{ "rot180", libcamera::Orientation::Rotate180 },
{ "mirror", libcamera::Orientation::Rotate0Mirror },
{ "flip", libcamera::Orientation::Rotate180Mirror },
};
auto orientation = orientations.find(orientOpt);
if (orientation == orientations.end()) {
std::cerr << "Invalid orientation " << orientOpt << std::endl;
return;
}
config->orientation = orientation->second;
}
/* Apply configuration if explicitly requested. */
if (StreamKeyValueParser::updateConfiguration(config.get(),
options_[OptStream])) {
std::cerr << "Failed to update configuration" << std::endl;
return;
}
bool strictFormats = options_.isSet(OptStrictFormats);
#ifdef HAVE_KMS
if (options_.isSet(OptDisplay)) {
if (options_.isSet(OptFile)) {
std::cerr << "--display and --file options are mutually exclusive"
<< std::endl;
return;
}
if (roles.size() != 1) {
std::cerr << "Display doesn't support multiple streams"
<< std::endl;
return;
}
if (roles[0] != StreamRole::Viewfinder) {
std::cerr << "Display requires a viewfinder stream"
<< std::endl;
return;
}
}
#endif
if (options_.isSet(OptCaptureScript)) {
std::string scriptName = options_[OptCaptureScript].toString();
script_ = std::make_unique<CaptureScript>(camera_, scriptName);
if (!script_->valid()) {
std::cerr << "Invalid capture script '" << scriptName
<< "'" << std::endl;
return;
}
}
switch (config->validate()) {
case CameraConfiguration::Valid:
break;
case CameraConfiguration::Adjusted:
if (strictFormats) {
std::cout << "Adjusting camera configuration disallowed by --strict-formats argument"
<< std::endl;
return;
}
std::cout << "Camera configuration adjusted" << std::endl;
break;
case CameraConfiguration::Invalid:
std::cout << "Camera configuration invalid" << std::endl;
return;
}
config_ = std::move(config);
}
CameraSession::~CameraSession()
{
if (camera_)
camera_->release();
}
void CameraSession::listControls() const
{
for (const auto &[id, info] : camera_->controls()) {
std::cout << "Control: " << id->name() << ": "
<< info.toString() << std::endl;
}
}
void CameraSession::listProperties() const
{
for (const auto &[key, value] : camera_->properties()) {
const ControlId *id = properties::properties.at(key);
std::cout << "Property: " << id->name() << " = "
<< value.toString() << std::endl;
}
}
void CameraSession::infoConfiguration() const
{
unsigned int index = 0;
for (const StreamConfiguration &cfg : *config_) {
std::cout << index << ": " << cfg.toString() << std::endl;
const StreamFormats &formats = cfg.formats();
for (PixelFormat pixelformat : formats.pixelformats()) {
std::cout << " * Pixelformat: "
<< pixelformat << " "
<< formats.range(pixelformat).toString()
<< std::endl;
for (const Size &size : formats.sizes(pixelformat))
std::cout << " - " << size << std::endl;
}
index++;
}
}
int CameraSession::start()
{
int ret;
queueCount_ = 0;
captureCount_ = 0;
captureLimit_ = options_[OptCapture].toInteger();
printMetadata_ = options_.isSet(OptMetadata);
ret = camera_->configure(config_.get());
if (ret < 0) {
std::cout << "Failed to configure camera" << std::endl;
return ret;
}
streamNames_.clear();
for (unsigned int index = 0; index < config_->size(); ++index) {
StreamConfiguration &cfg = config_->at(index);
streamNames_[cfg.stream()] = "cam" + std::to_string(cameraIndex_)
+ "-stream" + std::to_string(index);
}
camera_->requestCompleted.connect(this, &CameraSession::requestComplete);
#ifdef HAVE_KMS
if (options_.isSet(OptDisplay))
sink_ = std::make_unique<KMSSink>(options_[OptDisplay].toString());
#endif
#ifdef HAVE_SDL
if (options_.isSet(OptSDL))
sink_ = std::make_unique<SDLSink>();
#endif
if (options_.isSet(OptFile)) {
if (!options_[OptFile].toString().empty())
sink_ = std::make_unique<FileSink>(camera_.get(), streamNames_,
options_[OptFile]);
else
sink_ = std::make_unique<FileSink>(camera_.get(), streamNames_);
}
if (sink_) {
ret = sink_->configure(*config_);
if (ret < 0) {
std::cout << "Failed to configure frame sink"
<< std::endl;
return ret;
}
sink_->requestProcessed.connect(this, &CameraSession::sinkRelease);
}
allocator_ = std::make_unique<FrameBufferAllocator>(camera_);
return startCapture();
}
void CameraSession::stop()
{
int ret = camera_->stop();
if (ret)
std::cout << "Failed to stop capture" << std::endl;
if (sink_) {
ret = sink_->stop();
if (ret)
std::cout << "Failed to stop frame sink" << std::endl;
}
sink_.reset();
requests_.clear();
allocator_.reset();
}
int CameraSession::startCapture()
{
int ret;
/* Identify the stream with the least number of buffers. */
unsigned int nbuffers = UINT_MAX;
for (StreamConfiguration &cfg : *config_) {
ret = allocator_->allocate(cfg.stream());
if (ret < 0) {
std::cerr << "Can't allocate buffers" << std::endl;
return -ENOMEM;
}
unsigned int allocated = allocator_->buffers(cfg.stream()).size();
nbuffers = std::min(nbuffers, allocated);
}
/*
* TODO: make cam tool smarter to support still capture by for
* example pushing a button. For now run all streams all the time.
*/
for (unsigned int i = 0; i < nbuffers; i++) {
std::unique_ptr<Request> request = camera_->createRequest();
if (!request) {
std::cerr << "Can't create request" << std::endl;
return -ENOMEM;
}
for (StreamConfiguration &cfg : *config_) {
Stream *stream = cfg.stream();
const std::vector<std::unique_ptr<FrameBuffer>> &buffers =
allocator_->buffers(stream);
const std::unique_ptr<FrameBuffer> &buffer = buffers[i];
ret = request->addBuffer(stream, buffer.get());
if (ret < 0) {
std::cerr << "Can't set buffer for request"
<< std::endl;
return ret;
}
if (sink_)
sink_->mapBuffer(buffer.get());
}
requests_.push_back(std::move(request));
}
if (sink_) {
ret = sink_->start();
if (ret) {
std::cout << "Failed to start frame sink" << std::endl;
return ret;
}
}
ret = camera_->start();
if (ret) {
std::cout << "Failed to start capture" << std::endl;
if (sink_)
sink_->stop();
return ret;
}
for (std::unique_ptr<Request> &request : requests_) {
ret = queueRequest(request.get());
if (ret < 0) {
std::cerr << "Can't queue request" << std::endl;
camera_->stop();
if (sink_)
sink_->stop();
return ret;
}
}
if (captureLimit_)
std::cout << "cam" << cameraIndex_
<< ": Capture " << captureLimit_ << " frames"
<< std::endl;
else
std::cout << "cam" << cameraIndex_
<< ": Capture until user interrupts by SIGINT"
<< std::endl;
return 0;
}
int CameraSession::queueRequest(Request *request)
{
if (captureLimit_ && queueCount_ >= captureLimit_)
return 0;
if (script_)
request->controls() = script_->frameControls(queueCount_);
queueCount_++;
return camera_->queueRequest(request);
}
void CameraSession::requestComplete(Request *request)
{
if (request->status() == Request::RequestCancelled)
return;
/*
* Defer processing of the completed request to the event loop, to avoid
* blocking the camera manager thread.
*/
EventLoop::instance()->callLater([this, request]() { processRequest(request); });
}
void CameraSession::processRequest(Request *request)
{
/*
* If we've reached the capture limit, we're done. This doesn't
* duplicate the check below that emits the captureDone signal, as this
* function will be called for each request still in flight after the
* capture limit is reached and we don't want to emit the signal every
* single time.
*/
if (captureLimit_ && captureCount_ >= captureLimit_)
return;
const Request::BufferMap &buffers = request->buffers();
/*
* Compute the frame rate. The timestamp is arbitrarily retrieved from
* the first buffer, as all buffers should have matching timestamps.
*/
uint64_t ts = buffers.begin()->second->metadata().timestamp;
double fps = ts - last_;
fps = last_ != 0 && fps ? 1000000000.0 / fps : 0.0;
last_ = ts;
bool requeue = true;
std::stringstream info;
info << ts / 1000000000 << "."
<< std::setw(6) << std::setfill('0') << ts / 1000 % 1000000
<< " (" << std::fixed << std::setprecision(2) << fps << " fps)";
for (const auto &[stream, buffer] : buffers) {
const FrameMetadata &metadata = buffer->metadata();
info << " " << streamNames_[stream]
<< " seq: " << std::setw(6) << std::setfill('0') << metadata.sequence
<< " bytesused: ";
unsigned int nplane = 0;
for (const FrameMetadata::Plane &plane : metadata.planes()) {
info << plane.bytesused;
if (++nplane < metadata.planes().size())
info << "/";
}
}
if (sink_) {
if (!sink_->processRequest(request))
requeue = false;
}
std::cout << info.str() << std::endl;
if (printMetadata_) {
const ControlList &requestMetadata = request->metadata();
for (const auto &[key, value] : requestMetadata) {
const ControlId *id = controls::controls.at(key);
std::cout << "\t" << id->name() << " = "
<< value.toString() << std::endl;
}
}
/*
* Notify the user that capture is complete if the limit has just been
* reached.
*/
captureCount_++;
if (captureLimit_ && captureCount_ >= captureLimit_) {
captureDone.emit();
return;
}
/*
* If the frame sink holds on the request, we'll requeue it later in the
* complete handler.
*/
if (!requeue)
return;
request->reuse(Request::ReuseBuffers);
queueRequest(request);
}
void CameraSession::sinkRelease(Request *request)
{
request->reuse(Request::ReuseBuffers);
queueRequest(request);
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/kms_sink.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2021, Ideas on Board Oy
*
* KMS Sink
*/
#include "kms_sink.h"
#include <array>
#include <algorithm>
#include <assert.h>
#include <iostream>
#include <limits.h>
#include <memory>
#include <stdint.h>
#include <string.h>
#include <libcamera/camera.h>
#include <libcamera/formats.h>
#include <libcamera/framebuffer.h>
#include <libcamera/stream.h>
#include "drm.h"
KMSSink::KMSSink(const std::string &connectorName)
: connector_(nullptr), crtc_(nullptr), plane_(nullptr), mode_(nullptr)
{
int ret = dev_.init();
if (ret < 0)
return;
/*
* Find the requested connector. If no specific connector is requested,
* pick the first connected connector or, if no connector is connected,
* the first connector with unknown status.
*/
for (const DRM::Connector &conn : dev_.connectors()) {
if (!connectorName.empty()) {
if (conn.name() != connectorName)
continue;
connector_ = &conn;
break;
}
if (conn.status() == DRM::Connector::Connected) {
connector_ = &conn;
break;
}
if (!connector_ && conn.status() == DRM::Connector::Unknown)
connector_ = &conn;
}
if (!connector_) {
if (!connectorName.empty())
std::cerr
<< "Connector " << connectorName << " not found"
<< std::endl;
else
std::cerr << "No connected connector found" << std::endl;
return;
}
dev_.requestComplete.connect(this, &KMSSink::requestComplete);
}
void KMSSink::mapBuffer(libcamera::FrameBuffer *buffer)
{
std::array<uint32_t, 4> strides = {};
/* \todo Should libcamera report per-plane strides ? */
unsigned int uvStrideMultiplier;
switch (format_) {
case libcamera::formats::NV24:
case libcamera::formats::NV42:
uvStrideMultiplier = 4;
break;
case libcamera::formats::YUV420:
case libcamera::formats::YVU420:
case libcamera::formats::YUV422:
uvStrideMultiplier = 1;
break;
default:
uvStrideMultiplier = 2;
break;
}
strides[0] = stride_;
for (unsigned int i = 1; i < buffer->planes().size(); ++i)
strides[i] = stride_ * uvStrideMultiplier / 2;
std::unique_ptr<DRM::FrameBuffer> drmBuffer =
dev_.createFrameBuffer(*buffer, format_, size_, strides);
if (!drmBuffer)
return;
buffers_.emplace(std::piecewise_construct,
std::forward_as_tuple(buffer),
std::forward_as_tuple(std::move(drmBuffer)));
}
int KMSSink::configure(const libcamera::CameraConfiguration &config)
{
if (!connector_)
return -EINVAL;
crtc_ = nullptr;
plane_ = nullptr;
mode_ = nullptr;
const libcamera::StreamConfiguration &cfg = config.at(0);
/* Find the best mode for the stream size. */
const std::vector<DRM::Mode> &modes = connector_->modes();
unsigned int cfgArea = cfg.size.width * cfg.size.height;
unsigned int bestDistance = UINT_MAX;
for (const DRM::Mode &mode : modes) {
unsigned int modeArea = mode.hdisplay * mode.vdisplay;
unsigned int distance = modeArea > cfgArea ? modeArea - cfgArea
: cfgArea - modeArea;
if (distance < bestDistance) {
mode_ = &mode;
bestDistance = distance;
/*
* If the sizes match exactly, there will be no better
* match.
*/
if (distance == 0)
break;
}
}
if (!mode_) {
std::cerr << "No modes\n";
return -EINVAL;
}
int ret = configurePipeline(cfg.pixelFormat);
if (ret < 0)
return ret;
size_ = cfg.size;
stride_ = cfg.stride;
/* Configure color space. */
colorEncoding_ = std::nullopt;
colorRange_ = std::nullopt;
if (cfg.colorSpace->ycbcrEncoding == libcamera::ColorSpace::YcbcrEncoding::None)
return 0;
/*
* The encoding and range enums are defined in the kernel but not
* exposed in public headers.
*/
enum drm_color_encoding {
DRM_COLOR_YCBCR_BT601,
DRM_COLOR_YCBCR_BT709,
DRM_COLOR_YCBCR_BT2020,
};
enum drm_color_range {
DRM_COLOR_YCBCR_LIMITED_RANGE,
DRM_COLOR_YCBCR_FULL_RANGE,
};
const DRM::Property *colorEncoding = plane_->property("COLOR_ENCODING");
const DRM::Property *colorRange = plane_->property("COLOR_RANGE");
if (colorEncoding) {
drm_color_encoding encoding;
switch (cfg.colorSpace->ycbcrEncoding) {
case libcamera::ColorSpace::YcbcrEncoding::Rec601:
default:
encoding = DRM_COLOR_YCBCR_BT601;
break;
case libcamera::ColorSpace::YcbcrEncoding::Rec709:
encoding = DRM_COLOR_YCBCR_BT709;
break;
case libcamera::ColorSpace::YcbcrEncoding::Rec2020:
encoding = DRM_COLOR_YCBCR_BT2020;
break;
}
for (const auto &[id, name] : colorEncoding->enums()) {
if (id == encoding) {
colorEncoding_ = encoding;
break;
}
}
}
if (colorRange) {
drm_color_range range;
switch (cfg.colorSpace->range) {
case libcamera::ColorSpace::Range::Limited:
default:
range = DRM_COLOR_YCBCR_LIMITED_RANGE;
break;
case libcamera::ColorSpace::Range::Full:
range = DRM_COLOR_YCBCR_FULL_RANGE;
break;
}
for (const auto &[id, name] : colorRange->enums()) {
if (id == range) {
colorRange_ = range;
break;
}
}
}
if (!colorEncoding_ || !colorRange_)
std::cerr << "Color space " << cfg.colorSpace->toString()
<< " not supported by the display device."
<< " Colors may be wrong." << std::endl;
return 0;
}
int KMSSink::selectPipeline(const libcamera::PixelFormat &format)
{
/*
* If the requested format has an alpha channel, also consider the X
* variant.
*/
libcamera::PixelFormat xFormat;
switch (format) {
case libcamera::formats::ABGR8888:
xFormat = libcamera::formats::XBGR8888;
break;
case libcamera::formats::ARGB8888:
xFormat = libcamera::formats::XRGB8888;
break;
case libcamera::formats::BGRA8888:
xFormat = libcamera::formats::BGRX8888;
break;
case libcamera::formats::RGBA8888:
xFormat = libcamera::formats::RGBX8888;
break;
}
/*
* Find a CRTC and plane suitable for the request format and the
* connector at the end of the pipeline. Restrict the search to primary
* planes for now.
*/
for (const DRM::Encoder *encoder : connector_->encoders()) {
for (const DRM::Crtc *crtc : encoder->possibleCrtcs()) {
for (const DRM::Plane *plane : crtc->planes()) {
if (plane->type() != DRM::Plane::TypePrimary)
continue;
if (plane->supportsFormat(format)) {
crtc_ = crtc;
plane_ = plane;
format_ = format;
return 0;
}
if (plane->supportsFormat(xFormat)) {
crtc_ = crtc;
plane_ = plane;
format_ = xFormat;
return 0;
}
}
}
}
return -EPIPE;
}
int KMSSink::configurePipeline(const libcamera::PixelFormat &format)
{
const int ret = selectPipeline(format);
if (ret) {
std::cerr
<< "Unable to find display pipeline for format "
<< format << std::endl;
return ret;
}
std::cout
<< "Using KMS plane " << plane_->id() << ", CRTC " << crtc_->id()
<< ", connector " << connector_->name()
<< " (" << connector_->id() << "), mode " << mode_->hdisplay
<< "x" << mode_->vdisplay << "@" << mode_->vrefresh << std::endl;
return 0;
}
int KMSSink::start()
{
int ret = FrameSink::start();
if (ret < 0)
return ret;
/* Disable all CRTCs and planes to start from a known valid state. */
DRM::AtomicRequest request(&dev_);
for (const DRM::Crtc &crtc : dev_.crtcs())
request.addProperty(&crtc, "ACTIVE", 0);
for (const DRM::Plane &plane : dev_.planes()) {
request.addProperty(&plane, "CRTC_ID", 0);
request.addProperty(&plane, "FB_ID", 0);
}
ret = request.commit(DRM::AtomicRequest::FlagAllowModeset);
if (ret < 0) {
std::cerr
<< "Failed to disable CRTCs and planes: "
<< strerror(-ret) << std::endl;
return ret;
}
return 0;
}
int KMSSink::stop()
{
/* Display pipeline. */
DRM::AtomicRequest request(&dev_);
request.addProperty(connector_, "CRTC_ID", 0);
request.addProperty(crtc_, "ACTIVE", 0);
request.addProperty(crtc_, "MODE_ID", 0);
request.addProperty(plane_, "CRTC_ID", 0);
request.addProperty(plane_, "FB_ID", 0);
int ret = request.commit(DRM::AtomicRequest::FlagAllowModeset);
if (ret < 0) {
std::cerr
<< "Failed to stop display pipeline: "
<< strerror(-ret) << std::endl;
return ret;
}
/* Free all buffers. */
pending_.reset();
queued_.reset();
active_.reset();
buffers_.clear();
return FrameSink::stop();
}
bool KMSSink::testModeSet(DRM::FrameBuffer *drmBuffer,
const libcamera::Rectangle &src,
const libcamera::Rectangle &dst)
{
DRM::AtomicRequest drmRequest{ &dev_ };
drmRequest.addProperty(connector_, "CRTC_ID", crtc_->id());
drmRequest.addProperty(crtc_, "ACTIVE", 1);
drmRequest.addProperty(crtc_, "MODE_ID", mode_->toBlob(&dev_));
drmRequest.addProperty(plane_, "CRTC_ID", crtc_->id());
drmRequest.addProperty(plane_, "FB_ID", drmBuffer->id());
drmRequest.addProperty(plane_, "SRC_X", src.x << 16);
drmRequest.addProperty(plane_, "SRC_Y", src.y << 16);
drmRequest.addProperty(plane_, "SRC_W", src.width << 16);
drmRequest.addProperty(plane_, "SRC_H", src.height << 16);
drmRequest.addProperty(plane_, "CRTC_X", dst.x);
drmRequest.addProperty(plane_, "CRTC_Y", dst.y);
drmRequest.addProperty(plane_, "CRTC_W", dst.width);
drmRequest.addProperty(plane_, "CRTC_H", dst.height);
return !drmRequest.commit(DRM::AtomicRequest::FlagAllowModeset |
DRM::AtomicRequest::FlagTestOnly);
}
bool KMSSink::setupComposition(DRM::FrameBuffer *drmBuffer)
{
/*
* Test composition options, from most to least desirable, to select the
* best one.
*/
const libcamera::Rectangle framebuffer{ size_ };
const libcamera::Rectangle display{ 0, 0, mode_->hdisplay, mode_->vdisplay };
/* 1. Scale the frame buffer to full screen, preserving aspect ratio. */
libcamera::Rectangle src = framebuffer;
libcamera::Rectangle dst = display.size().boundedToAspectRatio(framebuffer.size())
.centeredTo(display.center());
if (testModeSet(drmBuffer, src, dst)) {
std::cout << "KMS: full-screen scaled output, square pixels"
<< std::endl;
src_ = src;
dst_ = dst;
return true;
}
/*
* 2. Scale the frame buffer to full screen, without preserving aspect
* ratio.
*/
src = framebuffer;
dst = display;
if (testModeSet(drmBuffer, src, dst)) {
std::cout << "KMS: full-screen scaled output, non-square pixels"
<< std::endl;
src_ = src;
dst_ = dst;
return true;
}
/* 3. Center the frame buffer on the display. */
src = display.size().centeredTo(framebuffer.center()).boundedTo(framebuffer);
dst = framebuffer.size().centeredTo(display.center()).boundedTo(display);
if (testModeSet(drmBuffer, src, dst)) {
std::cout << "KMS: centered output" << std::endl;
src_ = src;
dst_ = dst;
return true;
}
/* 4. Align the frame buffer on the top-left of the display. */
src = framebuffer.boundedTo(display);
dst = display.boundedTo(framebuffer);
if (testModeSet(drmBuffer, src, dst)) {
std::cout << "KMS: top-left aligned output" << std::endl;
src_ = src;
dst_ = dst;
return true;
}
return false;
}
bool KMSSink::processRequest(libcamera::Request *camRequest)
{
/*
* Perform a very crude rate adaptation by simply dropping the request
* if the display queue is full.
*/
if (pending_)
return true;
libcamera::FrameBuffer *buffer = camRequest->buffers().begin()->second;
auto iter = buffers_.find(buffer);
if (iter == buffers_.end())
return true;
DRM::FrameBuffer *drmBuffer = iter->second.get();
unsigned int flags = DRM::AtomicRequest::FlagAsync;
std::unique_ptr<DRM::AtomicRequest> drmRequest =
std::make_unique<DRM::AtomicRequest>(&dev_);
drmRequest->addProperty(plane_, "FB_ID", drmBuffer->id());
if (!active_ && !queued_) {
/* Enable the display pipeline on the first frame. */
if (!setupComposition(drmBuffer)) {
std::cerr << "Failed to setup composition" << std::endl;
return true;
}
drmRequest->addProperty(connector_, "CRTC_ID", crtc_->id());
drmRequest->addProperty(crtc_, "ACTIVE", 1);
drmRequest->addProperty(crtc_, "MODE_ID", mode_->toBlob(&dev_));
drmRequest->addProperty(plane_, "CRTC_ID", crtc_->id());
drmRequest->addProperty(plane_, "SRC_X", src_.x << 16);
drmRequest->addProperty(plane_, "SRC_Y", src_.y << 16);
drmRequest->addProperty(plane_, "SRC_W", src_.width << 16);
drmRequest->addProperty(plane_, "SRC_H", src_.height << 16);
drmRequest->addProperty(plane_, "CRTC_X", dst_.x);
drmRequest->addProperty(plane_, "CRTC_Y", dst_.y);
drmRequest->addProperty(plane_, "CRTC_W", dst_.width);
drmRequest->addProperty(plane_, "CRTC_H", dst_.height);
if (colorEncoding_)
drmRequest->addProperty(plane_, "COLOR_ENCODING", *colorEncoding_);
if (colorRange_)
drmRequest->addProperty(plane_, "COLOR_RANGE", *colorRange_);
flags |= DRM::AtomicRequest::FlagAllowModeset;
}
pending_ = std::make_unique<Request>(std::move(drmRequest), camRequest);
std::lock_guard<std::mutex> lock(lock_);
if (!queued_) {
int ret = pending_->drmRequest_->commit(flags);
if (ret < 0) {
std::cerr
<< "Failed to commit atomic request: "
<< strerror(-ret) << std::endl;
/* \todo Implement error handling */
}
queued_ = std::move(pending_);
}
return false;
}
void KMSSink::requestComplete([[maybe_unused]] DRM::AtomicRequest *request)
{
std::lock_guard<std::mutex> lock(lock_);
assert(queued_ && queued_->drmRequest_.get() == request);
/* Complete the active request, if any. */
if (active_)
requestProcessed.emit(active_->camRequest_);
/* The queued request becomes active. */
active_ = std::move(queued_);
/* Queue the pending request, if any. */
if (pending_) {
pending_->drmRequest_->commit(DRM::AtomicRequest::FlagAsync);
queued_ = std::move(pending_);
}
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/sdl_sink.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2022, Ideas on Board Oy
*
* SDL Sink
*/
#pragma once
#include <map>
#include <memory>
#include <libcamera/stream.h>
#include <SDL2/SDL.h>
#include "frame_sink.h"
class Image;
class SDLTexture;
class SDLSink : public FrameSink
{
public:
SDLSink();
~SDLSink();
int configure(const libcamera::CameraConfiguration &config) override;
int start() override;
int stop() override;
void mapBuffer(libcamera::FrameBuffer *buffer) override;
bool processRequest(libcamera::Request *request) override;
private:
void renderBuffer(libcamera::FrameBuffer *buffer);
void processSDLEvents();
std::map<libcamera::FrameBuffer *, std::unique_ptr<Image>>
mappedBuffers_;
std::unique_ptr<SDLTexture> texture_;
SDL_Window *window_;
SDL_Renderer *renderer_;
SDL_Rect rect_;
bool init_;
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/drm.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2021, Ideas on Board Oy
*
* DRM/KMS Helpers
*/
#pragma once
#include <array>
#include <list>
#include <map>
#include <memory>
#include <stdint.h>
#include <string>
#include <vector>
#include <libcamera/base/signal.h>
#include <libcamera/base/span.h>
#include <libdrm/drm.h>
#include <xf86drm.h>
#include <xf86drmMode.h>
namespace libcamera {
class FrameBuffer;
class PixelFormat;
class Size;
} /* namespace libcamera */
namespace DRM {
class Device;
class Plane;
class Property;
class PropertyValue;
class Object
{
public:
enum Type {
TypeCrtc = DRM_MODE_OBJECT_CRTC,
TypeConnector = DRM_MODE_OBJECT_CONNECTOR,
TypeEncoder = DRM_MODE_OBJECT_ENCODER,
TypeMode = DRM_MODE_OBJECT_MODE,
TypeProperty = DRM_MODE_OBJECT_PROPERTY,
TypeFb = DRM_MODE_OBJECT_FB,
TypeBlob = DRM_MODE_OBJECT_BLOB,
TypePlane = DRM_MODE_OBJECT_PLANE,
TypeAny = DRM_MODE_OBJECT_ANY,
};
Object(Device *dev, uint32_t id, Type type);
virtual ~Object();
Device *device() const { return dev_; }
uint32_t id() const { return id_; }
Type type() const { return type_; }
const Property *property(const std::string &name) const;
const PropertyValue *propertyValue(const std::string &name) const;
const std::vector<PropertyValue> &properties() const { return properties_; }
protected:
virtual int setup()
{
return 0;
}
uint32_t id_;
private:
friend Device;
Device *dev_;
Type type_;
std::vector<PropertyValue> properties_;
};
class Property : public Object
{
public:
enum Type {
TypeUnknown = 0,
TypeRange,
TypeEnum,
TypeBlob,
TypeBitmask,
TypeObject,
TypeSignedRange,
};
Property(Device *dev, drmModePropertyRes *property);
Type type() const { return type_; }
const std::string &name() const { return name_; }
bool isImmutable() const { return flags_ & DRM_MODE_PROP_IMMUTABLE; }
const std::vector<uint64_t> values() const { return values_; }
const std::map<uint32_t, std::string> &enums() const { return enums_; }
const std::vector<uint32_t> blobs() const { return blobs_; }
private:
Type type_;
std::string name_;
uint32_t flags_;
std::vector<uint64_t> values_;
std::map<uint32_t, std::string> enums_;
std::vector<uint32_t> blobs_;
};
class PropertyValue
{
public:
PropertyValue(uint32_t id, uint64_t value)
: id_(id), value_(value)
{
}
uint32_t id() const { return id_; }
uint32_t value() const { return value_; }
private:
uint32_t id_;
uint64_t value_;
};
class Blob : public Object
{
public:
Blob(Device *dev, const libcamera::Span<const uint8_t> &data);
~Blob();
bool isValid() const { return id() != 0; }
};
class Mode : public drmModeModeInfo
{
public:
Mode(const drmModeModeInfo &mode);
std::unique_ptr<Blob> toBlob(Device *dev) const;
};
class Crtc : public Object
{
public:
Crtc(Device *dev, const drmModeCrtc *crtc, unsigned int index);
unsigned int index() const { return index_; }
const std::vector<const Plane *> &planes() const { return planes_; }
private:
friend Device;
unsigned int index_;
std::vector<const Plane *> planes_;
};
class Encoder : public Object
{
public:
Encoder(Device *dev, const drmModeEncoder *encoder);
uint32_t type() const { return type_; }
const std::vector<const Crtc *> &possibleCrtcs() const { return possibleCrtcs_; }
private:
uint32_t type_;
std::vector<const Crtc *> possibleCrtcs_;
};
class Connector : public Object
{
public:
enum Status {
Connected,
Disconnected,
Unknown,
};
Connector(Device *dev, const drmModeConnector *connector);
uint32_t type() const { return type_; }
const std::string &name() const { return name_; }
Status status() const { return status_; }
const std::vector<const Encoder *> &encoders() const { return encoders_; }
const std::vector<Mode> &modes() const { return modes_; }
private:
uint32_t type_;
std::string name_;
Status status_;
std::vector<const Encoder *> encoders_;
std::vector<Mode> modes_;
};
class Plane : public Object
{
public:
enum Type {
TypeOverlay,
TypePrimary,
TypeCursor,
};
Plane(Device *dev, const drmModePlane *plane);
Type type() const { return type_; }
const std::vector<uint32_t> &formats() const { return formats_; }
const std::vector<const Crtc *> &possibleCrtcs() const { return possibleCrtcs_; }
bool supportsFormat(const libcamera::PixelFormat &format) const;
protected:
int setup() override;
private:
friend class Device;
Type type_;
std::vector<uint32_t> formats_;
std::vector<const Crtc *> possibleCrtcs_;
uint32_t possibleCrtcsMask_;
};
class FrameBuffer : public Object
{
public:
struct Plane {
uint32_t handle;
};
~FrameBuffer();
private:
friend class Device;
FrameBuffer(Device *dev);
std::map<int, Plane> planes_;
};
class AtomicRequest
{
public:
enum Flags {
FlagAllowModeset = (1 << 0),
FlagAsync = (1 << 1),
FlagTestOnly = (1 << 2),
};
AtomicRequest(Device *dev);
~AtomicRequest();
Device *device() const { return dev_; }
bool isValid() const { return valid_; }
int addProperty(const Object *object, const std::string &property,
uint64_t value);
int addProperty(const Object *object, const std::string &property,
std::unique_ptr<Blob> blob);
int commit(unsigned int flags = 0);
private:
AtomicRequest(const AtomicRequest &) = delete;
AtomicRequest(const AtomicRequest &&) = delete;
AtomicRequest &operator=(const AtomicRequest &) = delete;
AtomicRequest &operator=(const AtomicRequest &&) = delete;
int addProperty(uint32_t object, uint32_t property, uint64_t value);
Device *dev_;
bool valid_;
drmModeAtomicReq *request_;
std::list<std::unique_ptr<Blob>> blobs_;
};
class Device
{
public:
Device();
~Device();
int init();
int fd() const { return fd_; }
const std::list<Crtc> &crtcs() const { return crtcs_; }
const std::list<Encoder> &encoders() const { return encoders_; }
const std::list<Connector> &connectors() const { return connectors_; }
const std::list<Plane> &planes() const { return planes_; }
const std::list<Property> &properties() const { return properties_; }
const Object *object(uint32_t id);
std::unique_ptr<FrameBuffer> createFrameBuffer(
const libcamera::FrameBuffer &buffer,
const libcamera::PixelFormat &format,
const libcamera::Size &size,
const std::array<uint32_t, 4> &strides);
libcamera::Signal<AtomicRequest *> requestComplete;
private:
Device(const Device &) = delete;
Device(const Device &&) = delete;
Device &operator=(const Device &) = delete;
Device &operator=(const Device &&) = delete;
int openCard();
int getResources();
void drmEvent();
static void pageFlipComplete(int fd, unsigned int sequence,
unsigned int tv_sec, unsigned int tv_usec,
void *user_data);
int fd_;
std::list<Crtc> crtcs_;
std::list<Encoder> encoders_;
std::list<Connector> connectors_;
std::list<Plane> planes_;
std::list<Property> properties_;
std::map<uint32_t, Object *> objects_;
};
} /* namespace DRM */
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/frame_sink.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2021, Ideas on Board Oy
*
* Base Frame Sink Class
*/
#pragma once
#include <libcamera/base/signal.h>
namespace libcamera {
class CameraConfiguration;
class FrameBuffer;
class Request;
} /* namespace libcamera */
class FrameSink
{
public:
virtual ~FrameSink();
virtual int configure(const libcamera::CameraConfiguration &config);
virtual void mapBuffer(libcamera::FrameBuffer *buffer);
virtual int start();
virtual int stop();
virtual bool processRequest(libcamera::Request *request) = 0;
libcamera::Signal<libcamera::Request *> requestProcessed;
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/sdl_texture_yuv.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2022, Ideas on Board Oy
*
* SDL YUV Textures
*/
#include "sdl_texture_yuv.h"
using namespace libcamera;
#if SDL_VERSION_ATLEAST(2, 0, 16)
SDLTextureNV12::SDLTextureNV12(const SDL_Rect &rect, unsigned int stride)
: SDLTexture(rect, SDL_PIXELFORMAT_NV12, stride)
{
}
void SDLTextureNV12::update(const std::vector<libcamera::Span<const uint8_t>> &data)
{
SDL_UpdateNVTexture(ptr_, &rect_, data[0].data(), stride_,
data[1].data(), stride_);
}
#endif
SDLTextureYUYV::SDLTextureYUYV(const SDL_Rect &rect, unsigned int stride)
: SDLTexture(rect, SDL_PIXELFORMAT_YUY2, stride)
{
}
void SDLTextureYUYV::update(const std::vector<libcamera::Span<const uint8_t>> &data)
{
SDL_UpdateTexture(ptr_, &rect_, data[0].data(), stride_);
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/capture_script.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2022, Ideas on Board Oy
*
* Capture session configuration script
*/
#pragma once
#include <map>
#include <memory>
#include <string>
#include <libcamera/camera.h>
#include <libcamera/controls.h>
#include <yaml.h>
class CaptureScript
{
public:
CaptureScript(std::shared_ptr<libcamera::Camera> camera,
const std::string &fileName);
bool valid() const { return valid_; }
const libcamera::ControlList &frameControls(unsigned int frame);
private:
struct EventDeleter {
void operator()(yaml_event_t *event) const
{
yaml_event_delete(event);
delete event;
}
};
using EventPtr = std::unique_ptr<yaml_event_t, EventDeleter>;
std::map<std::string, const libcamera::ControlId *> controls_;
std::map<unsigned int, libcamera::ControlList> frameControls_;
std::shared_ptr<libcamera::Camera> camera_;
yaml_parser_t parser_;
unsigned int loop_;
bool valid_;
EventPtr nextEvent(yaml_event_type_t expectedType = YAML_NO_EVENT);
bool checkEvent(const EventPtr &event, yaml_event_type_t expectedType) const;
static std::string eventScalarValue(const EventPtr &event);
static std::string eventTypeName(yaml_event_type_t type);
int parseScript(FILE *script);
int parseProperties();
int parseProperty();
int parseFrames();
int parseFrame(EventPtr event);
int parseControl(EventPtr event, libcamera::ControlList &controls);
libcamera::ControlValue parseScalarControl(const libcamera::ControlId *id,
const std::string repr);
libcamera::ControlValue parseArrayControl(const libcamera::ControlId *id,
const std::vector<std::string> &repr);
std::string parseScalar();
libcamera::ControlValue parseRectangles();
std::vector<std::vector<std::string>> parseArrays();
std::vector<std::string> parseSingleArray();
void unpackFailure(const libcamera::ControlId *id,
const std::string &repr);
libcamera::ControlValue unpackControl(const libcamera::ControlId *id);
libcamera::Rectangle unpackRectangle(const std::vector<std::string> &strVec);
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/capture-script.yaml | # SPDX-License-Identifier: CC0-1.0
# Capture script example
#
# A capture script allows to associate a list of controls and their values
# to frame numbers.
#
# The script allows defining a list of frames associated with controls
# and an optional list of properties that can control the script behaviour.
# properties:
# # Repeat the controls every 'idx' frames.
# - loop: idx
#
# # List of frame number with associated a list of controls to be applied
# frames:
# - frame-number:
# Control1: value1
# Control2: value2
# \todo Formally define the capture script structure with a schema
# Notes:
# - Controls have to be specified by name, as defined in the
# libcamera::controls:: enumeration
# - Controls not supported by the camera currently operated are ignored
# - Frame numbers shall be monotonically incrementing, gaps are allowed
# - If a loop limit is specified, frame numbers in the 'frames' list shall be
# less than the loop control
# Example: Turn brightness up and down every 460 frames
properties:
- loop: 460
frames:
- 0:
Brightness: 0.0
- 40:
Brightness: 0.2
- 80:
Brightness: 0.4
- 120:
Brightness: 0.8
- 160:
Brightness: 0.4
- 200:
Brightness: 0.2
- 240:
Brightness: 0.0
- 280:
Brightness: -0.2
- 300:
Brightness: -0.4
- 340:
Brightness: -0.8
- 380:
Brightness: -0.4
- 420:
Brightness: -0.2
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/file_sink.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2019, Google Inc.
*
* File Sink
*/
#include <assert.h>
#include <fcntl.h>
#include <iomanip>
#include <iostream>
#include <sstream>
#include <string.h>
#include <unistd.h>
#include <libcamera/camera.h>
#include "../common/dng_writer.h"
#include "../common/image.h"
#include "../common/ppm_writer.h"
#include "file_sink.h"
using namespace libcamera;
FileSink::FileSink([[maybe_unused]] const libcamera::Camera *camera,
const std::map<const libcamera::Stream *, std::string> &streamNames,
const std::string &pattern)
:
#ifdef HAVE_TIFF
camera_(camera),
#endif
streamNames_(streamNames), pattern_(pattern)
{
}
FileSink::~FileSink()
{
}
int FileSink::configure(const libcamera::CameraConfiguration &config)
{
int ret = FrameSink::configure(config);
if (ret < 0)
return ret;
return 0;
}
void FileSink::mapBuffer(FrameBuffer *buffer)
{
std::unique_ptr<Image> image =
Image::fromFrameBuffer(buffer, Image::MapMode::ReadOnly);
assert(image != nullptr);
mappedBuffers_[buffer] = std::move(image);
}
bool FileSink::processRequest(Request *request)
{
for (auto [stream, buffer] : request->buffers())
writeBuffer(stream, buffer, request->metadata());
return true;
}
void FileSink::writeBuffer(const Stream *stream, FrameBuffer *buffer,
[[maybe_unused]] const ControlList &metadata)
{
std::string filename;
size_t pos;
int fd, ret = 0;
if (!pattern_.empty())
filename = pattern_;
#ifdef HAVE_TIFF
bool dng = filename.find(".dng", filename.size() - 4) != std::string::npos;
#endif /* HAVE_TIFF */
bool ppm = filename.find(".ppm", filename.size() - 4) != std::string::npos;
if (filename.empty() || filename.back() == '/')
filename += "frame-#.bin";
pos = filename.find_first_of('#');
if (pos != std::string::npos) {
std::stringstream ss;
ss << streamNames_[stream] << "-" << std::setw(6)
<< std::setfill('0') << buffer->metadata().sequence;
filename.replace(pos, 1, ss.str());
}
Image *image = mappedBuffers_[buffer].get();
#ifdef HAVE_TIFF
if (dng) {
ret = DNGWriter::write(filename.c_str(), camera_,
stream->configuration(), metadata,
buffer, image->data(0).data());
if (ret < 0)
std::cerr << "failed to write DNG file `" << filename
<< "'" << std::endl;
return;
}
#endif /* HAVE_TIFF */
if (ppm) {
ret = PPMWriter::write(filename.c_str(), stream->configuration(),
image->data(0));
if (ret < 0)
std::cerr << "failed to write PPM file `" << filename
<< "'" << std::endl;
return;
}
fd = open(filename.c_str(), O_CREAT | O_WRONLY |
(pos == std::string::npos ? O_APPEND : O_TRUNC),
S_IRUSR | S_IWUSR | S_IRGRP | S_IWGRP | S_IROTH | S_IWOTH);
if (fd == -1) {
ret = -errno;
std::cerr << "failed to open file " << filename << ": "
<< strerror(-ret) << std::endl;
return;
}
for (unsigned int i = 0; i < buffer->planes().size(); ++i) {
/*
* This was formerly a local "const FrameMetadata::Plane &"
* however this causes a false positive warning for dangling
* references on gcc 13.
*/
const unsigned int bytesused = buffer->metadata().planes()[i].bytesused;
Span<uint8_t> data = image->data(i);
const unsigned int length = std::min<unsigned int>(bytesused, data.size());
if (bytesused > data.size())
std::cerr << "payload size " << bytesused
<< " larger than plane size " << data.size()
<< std::endl;
ret = ::write(fd, data.data(), length);
if (ret < 0) {
ret = -errno;
std::cerr << "write error: " << strerror(-ret)
<< std::endl;
break;
} else if (ret != (int)length) {
std::cerr << "write error: only " << ret
<< " bytes written instead of "
<< length << std::endl;
break;
}
}
close(fd);
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/camera_session.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2019, Google Inc.
*
* Camera capture session
*/
#pragma once
#include <memory>
#include <stdint.h>
#include <string>
#include <vector>
#include <libcamera/base/signal.h>
#include <libcamera/camera.h>
#include <libcamera/camera_manager.h>
#include <libcamera/framebuffer.h>
#include <libcamera/framebuffer_allocator.h>
#include <libcamera/request.h>
#include <libcamera/stream.h>
#include "../common/options.h"
class CaptureScript;
class FrameSink;
class CameraSession
{
public:
CameraSession(libcamera::CameraManager *cm,
const std::string &cameraId, unsigned int cameraIndex,
const OptionsParser::Options &options);
~CameraSession();
bool isValid() const { return config_ != nullptr; }
const OptionsParser::Options &options() { return options_; }
libcamera::Camera *camera() { return camera_.get(); }
libcamera::CameraConfiguration *config() { return config_.get(); }
void listControls() const;
void listProperties() const;
void infoConfiguration() const;
int start();
void stop();
libcamera::Signal<> captureDone;
private:
int startCapture();
int queueRequest(libcamera::Request *request);
void requestComplete(libcamera::Request *request);
void processRequest(libcamera::Request *request);
void sinkRelease(libcamera::Request *request);
const OptionsParser::Options &options_;
std::shared_ptr<libcamera::Camera> camera_;
std::unique_ptr<libcamera::CameraConfiguration> config_;
std::unique_ptr<CaptureScript> script_;
std::map<const libcamera::Stream *, std::string> streamNames_;
std::unique_ptr<FrameSink> sink_;
unsigned int cameraIndex_;
uint64_t last_;
unsigned int queueCount_;
unsigned int captureCount_;
unsigned int captureLimit_;
bool printMetadata_;
std::unique_ptr<libcamera::FrameBufferAllocator> allocator_;
std::vector<std::unique_ptr<libcamera::Request>> requests_;
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/sdl_sink.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2022, Ideas on Board Oy
*
* SDL Sink
*/
#include "sdl_sink.h"
#include <assert.h>
#include <fcntl.h>
#include <iomanip>
#include <iostream>
#include <signal.h>
#include <sstream>
#include <string.h>
#include <unistd.h>
#include <libcamera/camera.h>
#include <libcamera/formats.h>
#include "../common/event_loop.h"
#include "../common/image.h"
#ifdef HAVE_LIBJPEG
#include "sdl_texture_mjpg.h"
#endif
#include "sdl_texture_yuv.h"
using namespace libcamera;
using namespace std::chrono_literals;
SDLSink::SDLSink()
: window_(nullptr), renderer_(nullptr), rect_({}),
init_(false)
{
}
SDLSink::~SDLSink()
{
stop();
}
int SDLSink::configure(const libcamera::CameraConfiguration &config)
{
int ret = FrameSink::configure(config);
if (ret < 0)
return ret;
if (config.size() > 1) {
std::cerr
<< "SDL sink only supports one camera stream at present, streaming first camera stream"
<< std::endl;
} else if (config.empty()) {
std::cerr << "Require at least one camera stream to process"
<< std::endl;
return -EINVAL;
}
const libcamera::StreamConfiguration &cfg = config.at(0);
rect_.w = cfg.size.width;
rect_.h = cfg.size.height;
switch (cfg.pixelFormat) {
#ifdef HAVE_LIBJPEG
case libcamera::formats::MJPEG:
texture_ = std::make_unique<SDLTextureMJPG>(rect_);
break;
#endif
#if SDL_VERSION_ATLEAST(2, 0, 16)
case libcamera::formats::NV12:
texture_ = std::make_unique<SDLTextureNV12>(rect_, cfg.stride);
break;
#endif
case libcamera::formats::YUYV:
texture_ = std::make_unique<SDLTextureYUYV>(rect_, cfg.stride);
break;
default:
std::cerr << "Unsupported pixel format "
<< cfg.pixelFormat.toString() << std::endl;
return -EINVAL;
};
return 0;
}
int SDLSink::start()
{
int ret = SDL_Init(SDL_INIT_VIDEO);
if (ret) {
std::cerr << "Failed to initialize SDL: " << SDL_GetError()
<< std::endl;
return ret;
}
init_ = true;
window_ = SDL_CreateWindow("", SDL_WINDOWPOS_UNDEFINED,
SDL_WINDOWPOS_UNDEFINED, rect_.w,
rect_.h,
SDL_WINDOW_SHOWN | SDL_WINDOW_RESIZABLE);
if (!window_) {
std::cerr << "Failed to create SDL window: " << SDL_GetError()
<< std::endl;
return -EINVAL;
}
renderer_ = SDL_CreateRenderer(window_, -1, 0);
if (!renderer_) {
std::cerr << "Failed to create SDL renderer: " << SDL_GetError()
<< std::endl;
return -EINVAL;
}
/*
* Set for scaling purposes, not critical, don't return in case of
* error.
*/
ret = SDL_RenderSetLogicalSize(renderer_, rect_.w, rect_.h);
if (ret)
std::cerr << "Failed to set SDL render logical size: "
<< SDL_GetError() << std::endl;
ret = texture_->create(renderer_);
if (ret) {
return ret;
}
/* \todo Make the event cancellable to support stop/start cycles. */
EventLoop::instance()->addTimerEvent(
10ms, std::bind(&SDLSink::processSDLEvents, this));
return 0;
}
int SDLSink::stop()
{
texture_.reset();
if (renderer_) {
SDL_DestroyRenderer(renderer_);
renderer_ = nullptr;
}
if (window_) {
SDL_DestroyWindow(window_);
window_ = nullptr;
}
if (init_) {
SDL_Quit();
init_ = false;
}
return FrameSink::stop();
}
void SDLSink::mapBuffer(FrameBuffer *buffer)
{
std::unique_ptr<Image> image =
Image::fromFrameBuffer(buffer, Image::MapMode::ReadOnly);
assert(image != nullptr);
mappedBuffers_[buffer] = std::move(image);
}
bool SDLSink::processRequest(Request *request)
{
for (auto [stream, buffer] : request->buffers()) {
renderBuffer(buffer);
break; /* to be expanded to launch SDL window per buffer */
}
return true;
}
/*
* Process SDL events, required for things like window resize and quit button
*/
void SDLSink::processSDLEvents()
{
for (SDL_Event e; SDL_PollEvent(&e);) {
if (e.type == SDL_QUIT) {
/* Click close icon then quit */
EventLoop::instance()->exit(0);
}
}
}
void SDLSink::renderBuffer(FrameBuffer *buffer)
{
Image *image = mappedBuffers_[buffer].get();
std::vector<Span<const uint8_t>> planes;
unsigned int i = 0;
planes.reserve(buffer->metadata().planes().size());
for (const FrameMetadata::Plane &meta : buffer->metadata().planes()) {
Span<uint8_t> data = image->data(i);
if (meta.bytesused > data.size())
std::cerr << "payload size " << meta.bytesused
<< " larger than plane size " << data.size()
<< std::endl;
planes.push_back(data);
i++;
}
texture_->update(planes);
SDL_RenderClear(renderer_);
SDL_RenderCopy(renderer_, texture_->get(), nullptr, nullptr);
SDL_RenderPresent(renderer_);
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/sdl_texture_mjpg.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2022, Ideas on Board Oy
*
* SDL Texture MJPG
*/
#include "sdl_texture_mjpg.h"
#include <iostream>
#include <setjmp.h>
#include <stdio.h>
#include <jpeglib.h>
using namespace libcamera;
struct JpegErrorManager : public jpeg_error_mgr {
JpegErrorManager()
{
jpeg_std_error(this);
error_exit = errorExit;
output_message = outputMessage;
}
static void errorExit(j_common_ptr cinfo)
{
JpegErrorManager *self =
static_cast<JpegErrorManager *>(cinfo->err);
longjmp(self->escape_, 1);
}
static void outputMessage([[maybe_unused]] j_common_ptr cinfo)
{
}
jmp_buf escape_;
};
SDLTextureMJPG::SDLTextureMJPG(const SDL_Rect &rect)
: SDLTexture(rect, SDL_PIXELFORMAT_RGB24, rect.w * 3),
rgb_(std::make_unique<unsigned char[]>(stride_ * rect.h))
{
}
int SDLTextureMJPG::decompress(Span<const uint8_t> data)
{
struct jpeg_decompress_struct cinfo;
JpegErrorManager errorManager;
if (setjmp(errorManager.escape_)) {
/* libjpeg found an error */
jpeg_destroy_decompress(&cinfo);
std::cerr << "JPEG decompression error" << std::endl;
return -EINVAL;
}
cinfo.err = &errorManager;
jpeg_create_decompress(&cinfo);
jpeg_mem_src(&cinfo, data.data(), data.size());
jpeg_read_header(&cinfo, TRUE);
jpeg_start_decompress(&cinfo);
for (int i = 0; cinfo.output_scanline < cinfo.output_height; ++i) {
JSAMPROW rowptr = rgb_.get() + i * stride_;
jpeg_read_scanlines(&cinfo, &rowptr, 1);
}
jpeg_finish_decompress(&cinfo);
jpeg_destroy_decompress(&cinfo);
return 0;
}
void SDLTextureMJPG::update(const std::vector<libcamera::Span<const uint8_t>> &data)
{
decompress(data[0]);
SDL_UpdateTexture(ptr_, nullptr, rgb_.get(), stride_);
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/frame_sink.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2021, Ideas on Board Oy
*
* Base Frame Sink Class
*/
#include "frame_sink.h"
/**
* \class FrameSink
* \brief Abstract class to model a consumer of frames
*
* The FrameSink class models the consumer that processes frames after a request
* completes. It receives requests through processRequest(), and processes them
* synchronously or asynchronously. This allows frame sinks to hold onto frames
* for an extended period of time, for instance to display them until a new
* frame arrives.
*
* A frame sink processes whole requests, and is solely responsible for deciding
* how to handle different frame buffers in case multiple streams are captured.
*/
FrameSink::~FrameSink()
{
}
int FrameSink::configure([[maybe_unused]] const libcamera::CameraConfiguration &config)
{
return 0;
}
void FrameSink::mapBuffer([[maybe_unused]] libcamera::FrameBuffer *buffer)
{
}
int FrameSink::start()
{
return 0;
}
int FrameSink::stop()
{
return 0;
}
/**
* \fn FrameSink::processRequest()
* \param[in] request The request
*
* This function is called to instruct the sink to process a request. The sink
* may process the request synchronously or queue it for asynchronous
* processing.
*
* When the request is processed synchronously, this function shall return true.
* The \a request shall not be accessed by the FrameSink after the function
* returns.
*
* When the request is processed asynchronously, the FrameSink temporarily takes
* ownership of the \a request. The function shall return false, and the
* FrameSink shall emit the requestProcessed signal when the request processing
* completes. If the stop() function is called before the request processing
* completes, it shall release the request synchronously.
*
* \return True if the request has been processed synchronously, false if
* processing has been queued
*/
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/kms_sink.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2021, Ideas on Board Oy
*
* KMS Sink
*/
#pragma once
#include <list>
#include <memory>
#include <mutex>
#include <optional>
#include <string>
#include <utility>
#include <libcamera/base/signal.h>
#include <libcamera/geometry.h>
#include <libcamera/pixel_format.h>
#include "drm.h"
#include "frame_sink.h"
class KMSSink : public FrameSink
{
public:
KMSSink(const std::string &connectorName);
void mapBuffer(libcamera::FrameBuffer *buffer) override;
int configure(const libcamera::CameraConfiguration &config) override;
int start() override;
int stop() override;
bool processRequest(libcamera::Request *request) override;
private:
class Request
{
public:
Request(std::unique_ptr<DRM::AtomicRequest> drmRequest,
libcamera::Request *camRequest)
: drmRequest_(std::move(drmRequest)), camRequest_(camRequest)
{
}
std::unique_ptr<DRM::AtomicRequest> drmRequest_;
libcamera::Request *camRequest_;
};
int selectPipeline(const libcamera::PixelFormat &format);
int configurePipeline(const libcamera::PixelFormat &format);
bool testModeSet(DRM::FrameBuffer *drmBuffer,
const libcamera::Rectangle &src,
const libcamera::Rectangle &dst);
bool setupComposition(DRM::FrameBuffer *drmBuffer);
void requestComplete(DRM::AtomicRequest *request);
DRM::Device dev_;
const DRM::Connector *connector_;
const DRM::Crtc *crtc_;
const DRM::Plane *plane_;
const DRM::Mode *mode_;
libcamera::PixelFormat format_;
libcamera::Size size_;
unsigned int stride_;
std::optional<unsigned int> colorEncoding_;
std::optional<unsigned int> colorRange_;
libcamera::Rectangle src_;
libcamera::Rectangle dst_;
std::map<libcamera::FrameBuffer *, std::unique_ptr<DRM::FrameBuffer>> buffers_;
std::mutex lock_;
std::unique_ptr<Request> pending_;
std::unique_ptr<Request> queued_;
std::unique_ptr<Request> active_;
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/sdl_texture_yuv.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2022, Ideas on Board Oy
*
* SDL YUV Textures
*/
#pragma once
#include "sdl_texture.h"
#if SDL_VERSION_ATLEAST(2, 0, 16)
class SDLTextureNV12 : public SDLTexture
{
public:
SDLTextureNV12(const SDL_Rect &rect, unsigned int stride);
void update(const std::vector<libcamera::Span<const uint8_t>> &data) override;
};
#endif
class SDLTextureYUYV : public SDLTexture
{
public:
SDLTextureYUYV(const SDL_Rect &rect, unsigned int stride);
void update(const std::vector<libcamera::Span<const uint8_t>> &data) override;
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/sdl_texture_mjpg.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2022, Ideas on Board Oy
*
* SDL Texture MJPG
*/
#pragma once
#include "sdl_texture.h"
class SDLTextureMJPG : public SDLTexture
{
public:
SDLTextureMJPG(const SDL_Rect &rect);
void update(const std::vector<libcamera::Span<const uint8_t>> &data) override;
private:
int decompress(libcamera::Span<const uint8_t> data);
std::unique_ptr<unsigned char[]> rgb_;
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/sdl_texture.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2022, Ideas on Board Oy
*
* SDL Texture
*/
#include "sdl_texture.h"
#include <iostream>
SDLTexture::SDLTexture(const SDL_Rect &rect, uint32_t pixelFormat,
const int stride)
: ptr_(nullptr), rect_(rect), pixelFormat_(pixelFormat), stride_(stride)
{
}
SDLTexture::~SDLTexture()
{
if (ptr_)
SDL_DestroyTexture(ptr_);
}
int SDLTexture::create(SDL_Renderer *renderer)
{
ptr_ = SDL_CreateTexture(renderer, pixelFormat_,
SDL_TEXTUREACCESS_STREAMING, rect_.w,
rect_.h);
if (!ptr_) {
std::cerr << "Failed to create SDL texture: " << SDL_GetError()
<< std::endl;
return -ENOMEM;
}
return 0;
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/main.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2019, Google Inc.
*
* cam - The libcamera swiss army knife
*/
#include <atomic>
#include <iomanip>
#include <iostream>
#include <signal.h>
#include <string.h>
#include <libcamera/libcamera.h>
#include <libcamera/property_ids.h>
#include "../common/event_loop.h"
#include "../common/options.h"
#include "../common/stream_options.h"
#include "camera_session.h"
#include "main.h"
using namespace libcamera;
class CamApp
{
public:
CamApp();
static CamApp *instance();
int init(int argc, char **argv);
void cleanup();
int exec();
void quit();
private:
void cameraAdded(std::shared_ptr<Camera> cam);
void cameraRemoved(std::shared_ptr<Camera> cam);
void captureDone();
int parseOptions(int argc, char *argv[]);
int run();
static std::string cameraName(const Camera *camera);
static CamApp *app_;
OptionsParser::Options options_;
std::unique_ptr<CameraManager> cm_;
std::atomic_uint loopUsers_;
EventLoop loop_;
};
CamApp *CamApp::app_ = nullptr;
CamApp::CamApp()
: loopUsers_(0)
{
CamApp::app_ = this;
}
CamApp *CamApp::instance()
{
return CamApp::app_;
}
int CamApp::init(int argc, char **argv)
{
int ret;
ret = parseOptions(argc, argv);
if (ret < 0)
return ret;
cm_ = std::make_unique<CameraManager>();
ret = cm_->start();
if (ret) {
std::cout << "Failed to start camera manager: "
<< strerror(-ret) << std::endl;
return ret;
}
return 0;
}
void CamApp::cleanup()
{
cm_->stop();
}
int CamApp::exec()
{
int ret;
ret = run();
cleanup();
return ret;
}
void CamApp::quit()
{
loop_.exit();
}
int CamApp::parseOptions(int argc, char *argv[])
{
StreamKeyValueParser streamKeyValue;
OptionsParser parser;
parser.addOption(OptCamera, OptionString,
"Specify which camera to operate on, by id or by index", "camera",
ArgumentRequired, "camera", true);
parser.addOption(OptHelp, OptionNone, "Display this help message",
"help");
parser.addOption(OptInfo, OptionNone,
"Display information about stream(s)", "info");
parser.addOption(OptList, OptionNone, "List all cameras", "list");
parser.addOption(OptListControls, OptionNone, "List cameras controls",
"list-controls");
parser.addOption(OptListProperties, OptionNone, "List cameras properties",
"list-properties");
parser.addOption(OptMonitor, OptionNone,
"Monitor for hotplug and unplug camera events",
"monitor");
/* Sub-options of OptCamera: */
parser.addOption(OptCapture, OptionInteger,
"Capture until interrupted by user or until <count> frames captured",
"capture", ArgumentOptional, "count", false,
OptCamera);
parser.addOption(OptOrientation, OptionString,
"Desired image orientation (rot0, rot180, mirror, flip)",
"orientation", ArgumentRequired, "orientation", false,
OptCamera);
#ifdef HAVE_KMS
parser.addOption(OptDisplay, OptionString,
"Display viewfinder through DRM/KMS on specified connector",
"display", ArgumentOptional, "connector", false,
OptCamera);
#endif
parser.addOption(OptFile, OptionString,
"Write captured frames to disk\n"
"If the file name ends with a '/', it sets the directory in which\n"
"to write files, using the default file name. Otherwise it sets the\n"
"full file path and name. The first '#' character in the file name\n"
"is expanded to the camera index, stream name and frame sequence number.\n"
#ifdef HAVE_TIFF
"If the file name ends with '.dng', then the frame will be written to\n"
"the output file(s) in DNG format.\n"
#endif
"If the file name ends with '.ppm', then the frame will be written to\n"
"the output file(s) in PPM format.\n"
"The default file name is 'frame-#.bin'.",
"file", ArgumentOptional, "filename", false,
OptCamera);
#ifdef HAVE_SDL
parser.addOption(OptSDL, OptionNone, "Display viewfinder through SDL",
"sdl", ArgumentNone, "", false, OptCamera);
#endif
parser.addOption(OptStream, &streamKeyValue,
"Set configuration of a camera stream", "stream", true,
OptCamera);
parser.addOption(OptStrictFormats, OptionNone,
"Do not allow requested stream format(s) to be adjusted",
"strict-formats", ArgumentNone, nullptr, false,
OptCamera);
parser.addOption(OptMetadata, OptionNone,
"Print the metadata for completed requests",
"metadata", ArgumentNone, nullptr, false,
OptCamera);
parser.addOption(OptCaptureScript, OptionString,
"Load a capture session configuration script from a file",
"script", ArgumentRequired, "script", false,
OptCamera);
options_ = parser.parse(argc, argv);
if (!options_.valid())
return -EINVAL;
if (options_.empty() || options_.isSet(OptHelp)) {
parser.usage();
return options_.empty() ? -EINVAL : -EINTR;
}
return 0;
}
void CamApp::cameraAdded(std::shared_ptr<Camera> cam)
{
std::cout << "Camera Added: " << cam->id() << std::endl;
}
void CamApp::cameraRemoved(std::shared_ptr<Camera> cam)
{
std::cout << "Camera Removed: " << cam->id() << std::endl;
}
void CamApp::captureDone()
{
if (--loopUsers_ == 0)
EventLoop::instance()->exit(0);
}
int CamApp::run()
{
int ret;
/* 1. List all cameras. */
if (options_.isSet(OptList)) {
std::cout << "Available cameras:" << std::endl;
unsigned int index = 1;
for (const std::shared_ptr<Camera> &cam : cm_->cameras()) {
std::cout << index << ": " << cameraName(cam.get()) << std::endl;
index++;
}
}
/* 2. Create the camera sessions. */
std::vector<std::unique_ptr<CameraSession>> sessions;
if (options_.isSet(OptCamera)) {
unsigned int index = 0;
for (const OptionValue &camera : options_[OptCamera].toArray()) {
std::unique_ptr<CameraSession> session =
std::make_unique<CameraSession>(cm_.get(),
camera.toString(),
index,
camera.children());
if (!session->isValid()) {
std::cout << "Failed to create camera session" << std::endl;
return -EINVAL;
}
std::cout << "Using camera " << session->camera()->id()
<< " as cam" << index << std::endl;
session->captureDone.connect(this, &CamApp::captureDone);
sessions.push_back(std::move(session));
index++;
}
}
/* 3. Print camera information. */
if (options_.isSet(OptListControls) ||
options_.isSet(OptListProperties) ||
options_.isSet(OptInfo)) {
for (const auto &session : sessions) {
if (options_.isSet(OptListControls))
session->listControls();
if (options_.isSet(OptListProperties))
session->listProperties();
if (options_.isSet(OptInfo))
session->infoConfiguration();
}
}
/* 4. Start capture. */
for (const auto &session : sessions) {
if (!session->options().isSet(OptCapture))
continue;
ret = session->start();
if (ret) {
std::cout << "Failed to start camera session" << std::endl;
return ret;
}
loopUsers_++;
}
/* 5. Enable hotplug monitoring. */
if (options_.isSet(OptMonitor)) {
std::cout << "Monitoring new hotplug and unplug events" << std::endl;
std::cout << "Press Ctrl-C to interrupt" << std::endl;
cm_->cameraAdded.connect(this, &CamApp::cameraAdded);
cm_->cameraRemoved.connect(this, &CamApp::cameraRemoved);
loopUsers_++;
}
if (loopUsers_)
loop_.exec();
/* 6. Stop capture. */
for (const auto &session : sessions) {
if (!session->options().isSet(OptCapture))
continue;
session->stop();
}
return 0;
}
std::string CamApp::cameraName(const Camera *camera)
{
const ControlList &props = camera->properties();
bool addModel = true;
std::string name;
/*
* Construct the name from the camera location, model and ID. The model
* is only used if the location isn't present or is set to External.
*/
const auto &location = props.get(properties::Location);
if (location) {
switch (*location) {
case properties::CameraLocationFront:
addModel = false;
name = "Internal front camera ";
break;
case properties::CameraLocationBack:
addModel = false;
name = "Internal back camera ";
break;
case properties::CameraLocationExternal:
name = "External camera ";
break;
}
}
if (addModel) {
/*
* If the camera location is not availble use the camera model
* to build the camera name.
*/
const auto &model = props.get(properties::Model);
if (model)
name = "'" + *model + "' ";
}
name += "(" + camera->id() + ")";
return name;
}
void signalHandler([[maybe_unused]] int signal)
{
std::cout << "Exiting" << std::endl;
CamApp::instance()->quit();
}
int main(int argc, char **argv)
{
CamApp app;
int ret;
ret = app.init(argc, argv);
if (ret)
return ret == -EINTR ? 0 : EXIT_FAILURE;
struct sigaction sa = {};
sa.sa_handler = &signalHandler;
sigaction(SIGINT, &sa, nullptr);
if (app.exec())
return EXIT_FAILURE;
return 0;
}
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/sdl_texture.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2022, Ideas on Board Oy
*
* SDL Texture
*/
#pragma once
#include <vector>
#include <SDL2/SDL.h>
#include "../common/image.h"
class SDLTexture
{
public:
SDLTexture(const SDL_Rect &rect, uint32_t pixelFormat, const int stride);
virtual ~SDLTexture();
int create(SDL_Renderer *renderer);
virtual void update(const std::vector<libcamera::Span<const uint8_t>> &data) = 0;
SDL_Texture *get() const { return ptr_; }
protected:
SDL_Texture *ptr_;
const SDL_Rect rect_;
const uint32_t pixelFormat_;
const int stride_;
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/file_sink.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2019, Google Inc.
*
* File Sink
*/
#pragma once
#include <map>
#include <memory>
#include <string>
#include <libcamera/stream.h>
#include "frame_sink.h"
class Image;
class FileSink : public FrameSink
{
public:
FileSink(const libcamera::Camera *camera,
const std::map<const libcamera::Stream *, std::string> &streamNames,
const std::string &pattern = "");
~FileSink();
int configure(const libcamera::CameraConfiguration &config) override;
void mapBuffer(libcamera::FrameBuffer *buffer) override;
bool processRequest(libcamera::Request *request) override;
private:
void writeBuffer(const libcamera::Stream *stream,
libcamera::FrameBuffer *buffer,
const libcamera::ControlList &metadata);
#ifdef HAVE_TIFF
const libcamera::Camera *camera_;
#endif
std::map<const libcamera::Stream *, std::string> streamNames_;
std::string pattern_;
std::map<libcamera::FrameBuffer *, std::unique_ptr<Image>> mappedBuffers_;
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/main.h | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2019, Google Inc.
*
* Cam application
*/
#pragma once
enum {
OptCamera = 'c',
OptCapture = 'C',
OptDisplay = 'D',
OptFile = 'F',
OptHelp = 'h',
OptInfo = 'I',
OptList = 'l',
OptListProperties = 'p',
OptMonitor = 'm',
OptOrientation = 'o',
OptSDL = 'S',
OptStream = 's',
OptListControls = 256,
OptStrictFormats = 257,
OptMetadata = 258,
OptCaptureScript = 259,
};
|
0 | repos/libcamera/src/apps | repos/libcamera/src/apps/cam/drm.cpp | /* SPDX-License-Identifier: GPL-2.0-or-later */
/*
* Copyright (C) 2021, Ideas on Board Oy
*
* DRM/KMS Helpers
*/
#include "drm.h"
#include <algorithm>
#include <dirent.h>
#include <errno.h>
#include <fcntl.h>
#include <iostream>
#include <set>
#include <string.h>
#include <sys/ioctl.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <libcamera/framebuffer.h>
#include <libcamera/geometry.h>
#include <libcamera/pixel_format.h>
#include <libdrm/drm_mode.h>
#include "../common/event_loop.h"
namespace DRM {
Object::Object(Device *dev, uint32_t id, Type type)
: id_(id), dev_(dev), type_(type)
{
/* Retrieve properties from the objects that support them. */
if (type != TypeConnector && type != TypeCrtc &&
type != TypeEncoder && type != TypePlane)
return;
/*
* We can't distinguish between failures due to the object having no
* property and failures due to other conditions. Assume we use the API
* correctly and consider the object has no property.
*/
drmModeObjectProperties *properties = drmModeObjectGetProperties(dev->fd(), id, type);
if (!properties)
return;
properties_.reserve(properties->count_props);
for (uint32_t i = 0; i < properties->count_props; ++i)
properties_.emplace_back(properties->props[i],
properties->prop_values[i]);
drmModeFreeObjectProperties(properties);
}
Object::~Object()
{
}
const Property *Object::property(const std::string &name) const
{
for (const PropertyValue &pv : properties_) {
const Property *property = static_cast<const Property *>(dev_->object(pv.id()));
if (property && property->name() == name)
return property;
}
return nullptr;
}
const PropertyValue *Object::propertyValue(const std::string &name) const
{
for (const PropertyValue &pv : properties_) {
const Property *property = static_cast<const Property *>(dev_->object(pv.id()));
if (property && property->name() == name)
return &pv;
}
return nullptr;
}
Property::Property(Device *dev, drmModePropertyRes *property)
: Object(dev, property->prop_id, TypeProperty),
name_(property->name), flags_(property->flags),
values_(property->values, property->values + property->count_values),
blobs_(property->blob_ids, property->blob_ids + property->count_blobs)
{
if (drm_property_type_is(property, DRM_MODE_PROP_RANGE))
type_ = TypeRange;
else if (drm_property_type_is(property, DRM_MODE_PROP_ENUM))
type_ = TypeEnum;
else if (drm_property_type_is(property, DRM_MODE_PROP_BLOB))
type_ = TypeBlob;
else if (drm_property_type_is(property, DRM_MODE_PROP_BITMASK))
type_ = TypeBitmask;
else if (drm_property_type_is(property, DRM_MODE_PROP_OBJECT))
type_ = TypeObject;
else if (drm_property_type_is(property, DRM_MODE_PROP_SIGNED_RANGE))
type_ = TypeSignedRange;
else
type_ = TypeUnknown;
for (int i = 0; i < property->count_enums; ++i)
enums_[property->enums[i].value] = property->enums[i].name;
}
Blob::Blob(Device *dev, const libcamera::Span<const uint8_t> &data)
: Object(dev, 0, Object::TypeBlob)
{
drmModeCreatePropertyBlob(dev->fd(), data.data(), data.size(), &id_);
}
Blob::~Blob()
{
if (isValid())
drmModeDestroyPropertyBlob(device()->fd(), id());
}
Mode::Mode(const drmModeModeInfo &mode)
: drmModeModeInfo(mode)
{
}
std::unique_ptr<Blob> Mode::toBlob(Device *dev) const
{
libcamera::Span<const uint8_t> data{ reinterpret_cast<const uint8_t *>(this),
sizeof(*this) };
return std::make_unique<Blob>(dev, data);
}
Crtc::Crtc(Device *dev, const drmModeCrtc *crtc, unsigned int index)
: Object(dev, crtc->crtc_id, Object::TypeCrtc), index_(index)
{
}
Encoder::Encoder(Device *dev, const drmModeEncoder *encoder)
: Object(dev, encoder->encoder_id, Object::TypeEncoder),
type_(encoder->encoder_type)
{
const std::list<Crtc> &crtcs = dev->crtcs();
possibleCrtcs_.reserve(crtcs.size());
for (const Crtc &crtc : crtcs) {
if (encoder->possible_crtcs & (1 << crtc.index()))
possibleCrtcs_.push_back(&crtc);
}
possibleCrtcs_.shrink_to_fit();
}
namespace {
const std::map<uint32_t, const char *> connectorTypeNames{
{ DRM_MODE_CONNECTOR_Unknown, "Unknown" },
{ DRM_MODE_CONNECTOR_VGA, "VGA" },
{ DRM_MODE_CONNECTOR_DVII, "DVI-I" },
{ DRM_MODE_CONNECTOR_DVID, "DVI-D" },
{ DRM_MODE_CONNECTOR_DVIA, "DVI-A" },
{ DRM_MODE_CONNECTOR_Composite, "Composite" },
{ DRM_MODE_CONNECTOR_SVIDEO, "S-Video" },
{ DRM_MODE_CONNECTOR_LVDS, "LVDS" },
{ DRM_MODE_CONNECTOR_Component, "Component" },
{ DRM_MODE_CONNECTOR_9PinDIN, "9-Pin-DIN" },
{ DRM_MODE_CONNECTOR_DisplayPort, "DP" },
{ DRM_MODE_CONNECTOR_HDMIA, "HDMI-A" },
{ DRM_MODE_CONNECTOR_HDMIB, "HDMI-B" },
{ DRM_MODE_CONNECTOR_TV, "TV" },
{ DRM_MODE_CONNECTOR_eDP, "eDP" },
{ DRM_MODE_CONNECTOR_VIRTUAL, "Virtual" },
{ DRM_MODE_CONNECTOR_DSI, "DSI" },
{ DRM_MODE_CONNECTOR_DPI, "DPI" },
};
} /* namespace */
Connector::Connector(Device *dev, const drmModeConnector *connector)
: Object(dev, connector->connector_id, Object::TypeConnector),
type_(connector->connector_type)
{
auto typeName = connectorTypeNames.find(connector->connector_type);
if (typeName == connectorTypeNames.end()) {
std::cerr
<< "Invalid connector type "
<< connector->connector_type << std::endl;
typeName = connectorTypeNames.find(DRM_MODE_CONNECTOR_Unknown);
}
name_ = std::string(typeName->second) + "-"
+ std::to_string(connector->connector_type_id);
switch (connector->connection) {
case DRM_MODE_CONNECTED:
status_ = Status::Connected;
break;
case DRM_MODE_DISCONNECTED:
status_ = Status::Disconnected;
break;
case DRM_MODE_UNKNOWNCONNECTION:
default:
status_ = Status::Unknown;
break;
}
const std::list<Encoder> &encoders = dev->encoders();
encoders_.reserve(connector->count_encoders);
for (int i = 0; i < connector->count_encoders; ++i) {
uint32_t encoderId = connector->encoders[i];
auto encoder = std::find_if(encoders.begin(), encoders.end(),
[=](const Encoder &e) {
return e.id() == encoderId;
});
if (encoder == encoders.end()) {
std::cerr
<< "Encoder " << encoderId << " not found"
<< std::endl;
continue;
}
encoders_.push_back(&*encoder);
}
encoders_.shrink_to_fit();
modes_ = { connector->modes, connector->modes + connector->count_modes };
}
Plane::Plane(Device *dev, const drmModePlane *plane)
: Object(dev, plane->plane_id, Object::TypePlane),
possibleCrtcsMask_(plane->possible_crtcs)
{
formats_ = { plane->formats, plane->formats + plane->count_formats };
const std::list<Crtc> &crtcs = dev->crtcs();
possibleCrtcs_.reserve(crtcs.size());
for (const Crtc &crtc : crtcs) {
if (plane->possible_crtcs & (1 << crtc.index()))
possibleCrtcs_.push_back(&crtc);
}
possibleCrtcs_.shrink_to_fit();
}
bool Plane::supportsFormat(const libcamera::PixelFormat &format) const
{
return std::find(formats_.begin(), formats_.end(), format.fourcc())
!= formats_.end();
}
int Plane::setup()
{
const PropertyValue *pv = propertyValue("type");
if (!pv)
return -EINVAL;
switch (pv->value()) {
case DRM_PLANE_TYPE_OVERLAY:
type_ = TypeOverlay;
break;
case DRM_PLANE_TYPE_PRIMARY:
type_ = TypePrimary;
break;
case DRM_PLANE_TYPE_CURSOR:
type_ = TypeCursor;
break;
default:
return -EINVAL;
}
return 0;
}
FrameBuffer::FrameBuffer(Device *dev)
: Object(dev, 0, Object::TypeFb)
{
}
FrameBuffer::~FrameBuffer()
{
for (const auto &plane : planes_) {
struct drm_gem_close gem_close = {
.handle = plane.second.handle,
.pad = 0,
};
int ret;
do {
ret = ioctl(device()->fd(), DRM_IOCTL_GEM_CLOSE, &gem_close);
} while (ret == -1 && (errno == EINTR || errno == EAGAIN));
if (ret == -1) {
ret = -errno;
std::cerr
<< "Failed to close GEM object: "
<< strerror(-ret) << std::endl;
}
}
drmModeRmFB(device()->fd(), id());
}
AtomicRequest::AtomicRequest(Device *dev)
: dev_(dev), valid_(true)
{
request_ = drmModeAtomicAlloc();
if (!request_)
valid_ = false;
}
AtomicRequest::~AtomicRequest()
{
if (request_)
drmModeAtomicFree(request_);
}
int AtomicRequest::addProperty(const Object *object, const std::string &property,
uint64_t value)
{
if (!valid_)
return -EINVAL;
const Property *prop = object->property(property);
if (!prop) {
valid_ = false;
return -EINVAL;
}
return addProperty(object->id(), prop->id(), value);
}
int AtomicRequest::addProperty(const Object *object, const std::string &property,
std::unique_ptr<Blob> blob)
{
if (!valid_)
return -EINVAL;
const Property *prop = object->property(property);
if (!prop) {
valid_ = false;
return -EINVAL;
}
int ret = addProperty(object->id(), prop->id(), blob->id());
if (ret < 0)
return ret;
blobs_.emplace_back(std::move(blob));
return 0;
}
int AtomicRequest::addProperty(uint32_t object, uint32_t property, uint64_t value)
{
int ret = drmModeAtomicAddProperty(request_, object, property, value);
if (ret < 0) {
valid_ = false;
return ret;
}
return 0;
}
int AtomicRequest::commit(unsigned int flags)
{
if (!valid_)
return -EINVAL;
uint32_t drmFlags = 0;
if (flags & FlagAllowModeset)
drmFlags |= DRM_MODE_ATOMIC_ALLOW_MODESET;
if (flags & FlagAsync)
drmFlags |= DRM_MODE_PAGE_FLIP_EVENT | DRM_MODE_ATOMIC_NONBLOCK;
if (flags & FlagTestOnly)
drmFlags |= DRM_MODE_ATOMIC_TEST_ONLY;
return drmModeAtomicCommit(dev_->fd(), request_, drmFlags, this);
}
Device::Device()
: fd_(-1)
{
}
Device::~Device()
{
if (fd_ != -1)
drmClose(fd_);
}
int Device::init()
{
int ret = openCard();
if (ret < 0) {
std::cerr << "Failed to open any DRM/KMS device: "
<< strerror(-ret) << std::endl;
return ret;
}
/*
* Enable the atomic APIs. This also automatically enables the
* universal planes API.
*/
ret = drmSetClientCap(fd_, DRM_CLIENT_CAP_ATOMIC, 1);
if (ret < 0) {
ret = -errno;
std::cerr
<< "Failed to enable atomic capability: "
<< strerror(-ret) << std::endl;
return ret;
}
/* List all the resources. */
ret = getResources();
if (ret < 0)
return ret;
EventLoop::instance()->addFdEvent(fd_, EventLoop::Read,
std::bind(&Device::drmEvent, this));
return 0;
}
int Device::openCard()
{
const std::string dirName = "/dev/dri/";
bool found = false;
int ret;
/*
* Open the first DRM/KMS device beginning with /dev/dri/card. The
* libdrm drmOpen*() functions require either a module name or a bus ID,
* which we don't have, so bypass them. The automatic module loading and
* device node creation from drmOpen() is of no practical use as any
* modern system will handle that through udev or an equivalent
* component.
*/
DIR *folder = opendir(dirName.c_str());
if (!folder) {
ret = -errno;
std::cerr << "Failed to open " << dirName
<< " directory: " << strerror(-ret) << std::endl;
return ret;
}
for (struct dirent *res; (res = readdir(folder));) {
uint64_t cap;
if (strncmp(res->d_name, "card", 4))
continue;
const std::string devName = dirName + res->d_name;
fd_ = open(devName.c_str(), O_RDWR | O_CLOEXEC);
if (fd_ < 0) {
ret = -errno;
std::cerr << "Failed to open DRM/KMS device " << devName << ": "
<< strerror(-ret) << std::endl;
continue;
}
/*
* Skip devices that don't support the modeset API, to avoid
* selecting a DRM device corresponding to a GPU. There is no
* modeset capability, but the kernel returns an error for most
* caps if mode setting isn't support by the driver. The
* DRM_CAP_DUMB_BUFFER capability is one of those, other would
* do as well. The capability value itself isn't relevant.
*/
ret = drmGetCap(fd_, DRM_CAP_DUMB_BUFFER, &cap);
if (ret < 0) {
drmClose(fd_);
fd_ = -1;
continue;
}
found = true;
break;
}
closedir(folder);
return found ? 0 : -ENOENT;
}
int Device::getResources()
{
int ret;
std::unique_ptr<drmModeRes, decltype(&drmModeFreeResources)> resources{
drmModeGetResources(fd_),
&drmModeFreeResources
};
if (!resources) {
ret = -errno;
std::cerr
<< "Failed to get DRM/KMS resources: "
<< strerror(-ret) << std::endl;
return ret;
}
for (int i = 0; i < resources->count_crtcs; ++i) {
drmModeCrtc *crtc = drmModeGetCrtc(fd_, resources->crtcs[i]);
if (!crtc) {
ret = -errno;
std::cerr
<< "Failed to get CRTC: " << strerror(-ret)
<< std::endl;
return ret;
}
crtcs_.emplace_back(this, crtc, i);
drmModeFreeCrtc(crtc);
Crtc &obj = crtcs_.back();
objects_[obj.id()] = &obj;
}
for (int i = 0; i < resources->count_encoders; ++i) {
drmModeEncoder *encoder =
drmModeGetEncoder(fd_, resources->encoders[i]);
if (!encoder) {
ret = -errno;
std::cerr
<< "Failed to get encoder: " << strerror(-ret)
<< std::endl;
return ret;
}
encoders_.emplace_back(this, encoder);
drmModeFreeEncoder(encoder);
Encoder &obj = encoders_.back();
objects_[obj.id()] = &obj;
}
for (int i = 0; i < resources->count_connectors; ++i) {
drmModeConnector *connector =
drmModeGetConnector(fd_, resources->connectors[i]);
if (!connector) {
ret = -errno;
std::cerr
<< "Failed to get connector: " << strerror(-ret)
<< std::endl;
return ret;
}
connectors_.emplace_back(this, connector);
drmModeFreeConnector(connector);
Connector &obj = connectors_.back();
objects_[obj.id()] = &obj;
}
std::unique_ptr<drmModePlaneRes, decltype(&drmModeFreePlaneResources)> planes{
drmModeGetPlaneResources(fd_),
&drmModeFreePlaneResources
};
if (!planes) {
ret = -errno;
std::cerr
<< "Failed to get DRM/KMS planes: "
<< strerror(-ret) << std::endl;
return ret;
}
for (uint32_t i = 0; i < planes->count_planes; ++i) {
drmModePlane *plane =
drmModeGetPlane(fd_, planes->planes[i]);
if (!plane) {
ret = -errno;
std::cerr
<< "Failed to get plane: " << strerror(-ret)
<< std::endl;
return ret;
}
planes_.emplace_back(this, plane);
drmModeFreePlane(plane);
Plane &obj = planes_.back();
objects_[obj.id()] = &obj;
}
/* Set the possible planes for each CRTC. */
for (Crtc &crtc : crtcs_) {
for (const Plane &plane : planes_) {
if (plane.possibleCrtcsMask_ & (1 << crtc.index()))
crtc.planes_.push_back(&plane);
}
}
/* Collect all property IDs and create Property instances. */
std::set<uint32_t> properties;
for (const auto &object : objects_) {
for (const PropertyValue &value : object.second->properties())
properties.insert(value.id());
}
for (uint32_t id : properties) {
drmModePropertyRes *property = drmModeGetProperty(fd_, id);
if (!property) {
ret = -errno;
std::cerr
<< "Failed to get property: " << strerror(-ret)
<< std::endl;
continue;
}
properties_.emplace_back(this, property);
drmModeFreeProperty(property);
Property &obj = properties_.back();
objects_[obj.id()] = &obj;
}
/* Finally, perform all delayed setup of mode objects. */
for (auto &object : objects_) {
ret = object.second->setup();
if (ret < 0) {
std::cerr
<< "Failed to setup object " << object.second->id()
<< ": " << strerror(-ret) << std::endl;
return ret;
}
}
return 0;
}
const Object *Device::object(uint32_t id)
{
const auto iter = objects_.find(id);
if (iter == objects_.end())
return nullptr;
return iter->second;
}
std::unique_ptr<FrameBuffer> Device::createFrameBuffer(
const libcamera::FrameBuffer &buffer,
const libcamera::PixelFormat &format,
const libcamera::Size &size,
const std::array<uint32_t, 4> &strides)
{
std::unique_ptr<FrameBuffer> fb{ new FrameBuffer(this) };
uint32_t handles[4] = {};
uint32_t offsets[4] = {};
int ret;
const std::vector<libcamera::FrameBuffer::Plane> &planes = buffer.planes();
unsigned int i = 0;
for (const libcamera::FrameBuffer::Plane &plane : planes) {
int fd = plane.fd.get();
uint32_t handle;
auto iter = fb->planes_.find(fd);
if (iter == fb->planes_.end()) {
ret = drmPrimeFDToHandle(fd_, plane.fd.get(), &handle);
if (ret < 0) {
ret = -errno;
std::cerr
<< "Unable to import framebuffer dmabuf: "
<< strerror(-ret) << std::endl;
return nullptr;
}
fb->planes_[fd] = { handle };
} else {
handle = iter->second.handle;
}
handles[i] = handle;
offsets[i] = plane.offset;
++i;
}
ret = drmModeAddFB2(fd_, size.width, size.height, format.fourcc(), handles,
strides.data(), offsets, &fb->id_, 0);
if (ret < 0) {
ret = -errno;
std::cerr
<< "Failed to add framebuffer: "
<< strerror(-ret) << std::endl;
return nullptr;
}
return fb;
}
void Device::drmEvent()
{
drmEventContext ctx{};
ctx.version = DRM_EVENT_CONTEXT_VERSION;
ctx.page_flip_handler = &Device::pageFlipComplete;
drmHandleEvent(fd_, &ctx);
}
void Device::pageFlipComplete([[maybe_unused]] int fd,
[[maybe_unused]] unsigned int sequence,
[[maybe_unused]] unsigned int tv_sec,
[[maybe_unused]] unsigned int tv_usec,
void *user_data)
{
AtomicRequest *request = static_cast<AtomicRequest *>(user_data);
request->device()->requestComplete.emit(request);
}
} /* namespace DRM */
|
0 | repos/libcamera/src | repos/libcamera/src/ipa/ipa-sign-install.sh | #!/bin/sh
# SPDX-License-Identifier: GPL-2.0-or-later
# Copyright (C) 2020, Google Inc.
#
# Author: Laurent Pinchart <[email protected]>
#
# Regenerate IPA module signatures when installing
key=$1
shift
modules=$*
ipa_sign=$(dirname "$0")/ipa-sign.sh
echo "Regenerating IPA modules signatures"
for module in ${modules} ; do
module="${MESON_INSTALL_DESTDIR_PREFIX}/${module}"
if [ -f "${module}" ] ; then
"${ipa_sign}" "${key}" "${module}" "${module}.sign"
fi
done
|
0 | repos/libcamera/src | repos/libcamera/src/ipa/ipa-sign.sh | #!/bin/sh
# SPDX-License-Identifier: GPL-2.0-or-later
# Copyright (C) 2020, Google Inc.
#
# Author: Laurent Pinchart <[email protected]>
#
# Generate a signature for an IPA module
key="$1"
input="$2"
output="$3"
openssl dgst -sha256 -sign "${key}" -out "${output}" "${input}"
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/ipu3/ipa_context.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Google Inc.
*
* IPU3 IPA Context
*
*/
#pragma once
#include <linux/intel-ipu3.h>
#include <libcamera/base/utils.h>
#include <libcamera/controls.h>
#include <libcamera/geometry.h>
#include <libipa/fc_queue.h>
namespace libcamera {
namespace ipa::ipu3 {
struct IPASessionConfiguration {
struct {
ipu3_uapi_grid_config bdsGrid;
Size bdsOutputSize;
uint32_t stride;
} grid;
struct {
ipu3_uapi_grid_config afGrid;
} af;
struct {
utils::Duration minShutterSpeed;
utils::Duration maxShutterSpeed;
double minAnalogueGain;
double maxAnalogueGain;
} agc;
struct {
int32_t defVBlank;
utils::Duration lineDuration;
Size size;
} sensor;
};
struct IPAActiveState {
struct {
uint32_t focus;
double maxVariance;
bool stable;
} af;
struct {
uint32_t exposure;
double gain;
uint32_t constraintMode;
uint32_t exposureMode;
} agc;
struct {
struct {
double red;
double green;
double blue;
} gains;
double temperatureK;
} awb;
struct {
double gamma;
struct ipu3_uapi_gamma_corr_lut gammaCorrection;
} toneMapping;
};
struct IPAFrameContext : public FrameContext {
struct {
uint32_t exposure;
double gain;
} sensor;
};
struct IPAContext {
IPASessionConfiguration configuration;
IPAActiveState activeState;
FCQueue<IPAFrameContext> frameContexts;
ControlInfoMap::Map ctrlMap;
};
} /* namespace ipa::ipu3 */
} /* namespace libcamera*/
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/ipu3/module.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2022, Ideas On Board
*
* IPU3 IPA Module
*/
#pragma once
#include <linux/intel-ipu3.h>
#include <libcamera/ipa/ipu3_ipa_interface.h>
#include <libipa/module.h>
#include "ipa_context.h"
namespace libcamera {
namespace ipa::ipu3 {
using Module = ipa::Module<IPAContext, IPAFrameContext, IPAConfigInfo,
ipu3_uapi_params, ipu3_uapi_stats_3a>;
} /* namespace ipa::ipu3 */
} /* namespace libcamera*/
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/ipu3/ipa_context.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Google Inc.
*
* IPU3 IPA Context
*/
#include "ipa_context.h"
/**
* \file ipa_context.h
* \brief Context and state information shared between the algorithms
*/
namespace libcamera::ipa::ipu3 {
/**
* \struct IPASessionConfiguration
* \brief Session configuration for the IPA module
*
* The session configuration contains all IPA configuration parameters that
* remain constant during the capture session, from IPA module start to stop.
* It is typically set during the configure() operation of the IPA module, but
* may also be updated in the start() operation.
*/
/**
* \struct IPAActiveState
* \brief The active state of the IPA algorithms
*
* The IPA is fed with the statistics generated from the latest frame captured
* by the hardware. The statistics are then processed by the IPA algorithms to
* compute ISP parameters required for the next frame capture. The current state
* of the algorithms is reflected through the IPAActiveState to store the values
* most recently computed by the IPA algorithms.
*/
/**
* \struct IPAContext
* \brief Global IPA context data shared between all algorithms
*
* \var IPAContext::configuration
* \brief The IPA session configuration, immutable during the session
*
* \var IPAContext::frameContexts
* \brief Ring buffer of the IPAFrameContext(s)
*
* \var IPAContext::activeState
* \brief The current state of IPA algorithms
*
* \var IPAContext::ctrlMap
* \brief A ControlInfoMap::Map of controls populated by the algorithms
*/
/**
* \var IPASessionConfiguration::grid
* \brief Grid configuration of the IPA
*
* \var IPASessionConfiguration::grid.bdsGrid
* \brief Bayer Down Scaler grid plane config used by the kernel
*
* \var IPASessionConfiguration::grid.bdsOutputSize
* \brief BDS output size configured by the pipeline handler
*
* \var IPASessionConfiguration::grid.stride
* \brief Number of cells on one line including the ImgU padding
*/
/**
* \var IPASessionConfiguration::af
* \brief AF grid configuration of the IPA
*
* \var IPASessionConfiguration::af.afGrid
* \brief AF scene grid configuration
*/
/**
* \var IPAActiveState::af
* \brief Context for the Automatic Focus algorithm
*
* \var IPAActiveState::af.focus
* \brief Current position of the lens
*
* \var IPAActiveState::af.maxVariance
* \brief The maximum variance of the current image
*
* \var IPAActiveState::af.stable
* \brief It is set to true, if the best focus is found
*/
/**
* \var IPASessionConfiguration::agc
* \brief AGC parameters configuration of the IPA
*
* \var IPASessionConfiguration::agc.minShutterSpeed
* \brief Minimum shutter speed supported with the configured sensor
*
* \var IPASessionConfiguration::agc.maxShutterSpeed
* \brief Maximum shutter speed supported with the configured sensor
*
* \var IPASessionConfiguration::agc.minAnalogueGain
* \brief Minimum analogue gain supported with the configured sensor
*
* \var IPASessionConfiguration::agc.maxAnalogueGain
* \brief Maximum analogue gain supported with the configured sensor
*/
/**
* \var IPASessionConfiguration::sensor
* \brief Sensor-specific configuration of the IPA
*
* \var IPASessionConfiguration::sensor.lineDuration
* \brief Line duration in microseconds
*
* \var IPASessionConfiguration::sensor.defVBlank
* \brief The default vblank value of the sensor
*
* \var IPASessionConfiguration::sensor.size
* \brief Sensor output resolution
*/
/**
* \var IPAActiveState::agc
* \brief Context for the Automatic Gain Control algorithm
*
* The exposure and gain determined are expected to be applied to the sensor
* at the earliest opportunity.
*
* \var IPAActiveState::agc.exposure
* \brief Exposure time expressed as a number of lines
*
* \var IPAActiveState::agc.gain
* \brief Analogue gain multiplier
*
* The gain should be adapted to the sensor specific gain code before applying.
*/
/**
* \var IPAActiveState::awb
* \brief Context for the Automatic White Balance algorithm
*
* \var IPAActiveState::awb.gains
* \brief White balance gains
*
* \var IPAActiveState::awb.gains.red
* \brief White balance gain for R channel
*
* \var IPAActiveState::awb.gains.green
* \brief White balance gain for G channel
*
* \var IPAActiveState::awb.gains.blue
* \brief White balance gain for B channel
*
* \var IPAActiveState::awb.temperatureK
* \brief Estimated color temperature
*/
/**
* \var IPAActiveState::toneMapping
* \brief Context for ToneMapping and Gamma control
*
* \var IPAActiveState::toneMapping.gamma
* \brief Gamma value for the LUT
*
* \var IPAActiveState::toneMapping.gammaCorrection
* \brief Per-pixel tone mapping implemented as a LUT
*
* The LUT structure is defined by the IPU3 kernel interface. See
* <linux/intel-ipu3.h> struct ipu3_uapi_gamma_corr_lut for further details.
*/
/**
* \struct IPAFrameContext
* \brief IPU3-specific FrameContext
*
* \var IPAFrameContext::sensor
* \brief Effective sensor values that were applied for the frame
*
* \var IPAFrameContext::sensor.exposure
* \brief Exposure time expressed as a number of lines
*
* \var IPAFrameContext::sensor.gain
* \brief Analogue gain multiplier
*/
} /* namespace libcamera::ipa::ipu3 */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/ipu3/ipu3.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2020, Google Inc.
*
* IPU3 Image Processing Algorithms
*/
#include <algorithm>
#include <array>
#include <cmath>
#include <limits>
#include <map>
#include <memory>
#include <stdint.h>
#include <utility>
#include <vector>
#include <linux/intel-ipu3.h>
#include <linux/v4l2-controls.h>
#include <libcamera/base/file.h>
#include <libcamera/base/log.h>
#include <libcamera/base/utils.h>
#include <libcamera/control_ids.h>
#include <libcamera/framebuffer.h>
#include <libcamera/ipa/ipa_interface.h>
#include <libcamera/ipa/ipa_module_info.h>
#include <libcamera/ipa/ipu3_ipa_interface.h>
#include <libcamera/request.h>
#include "libcamera/internal/mapped_framebuffer.h"
#include "libcamera/internal/yaml_parser.h"
#include "algorithms/af.h"
#include "algorithms/agc.h"
#include "algorithms/algorithm.h"
#include "algorithms/awb.h"
#include "algorithms/blc.h"
#include "algorithms/tone_mapping.h"
#include "libipa/camera_sensor_helper.h"
#include "ipa_context.h"
/* Minimum grid width, expressed as a number of cells */
static constexpr uint32_t kMinGridWidth = 16;
/* Maximum grid width, expressed as a number of cells */
static constexpr uint32_t kMaxGridWidth = 80;
/* Minimum grid height, expressed as a number of cells */
static constexpr uint32_t kMinGridHeight = 16;
/* Maximum grid height, expressed as a number of cells */
static constexpr uint32_t kMaxGridHeight = 60;
/* log2 of the minimum grid cell width and height, in pixels */
static constexpr uint32_t kMinCellSizeLog2 = 3;
/* log2 of the maximum grid cell width and height, in pixels */
static constexpr uint32_t kMaxCellSizeLog2 = 6;
/* Maximum number of frame contexts to be held */
static constexpr uint32_t kMaxFrameContexts = 16;
namespace libcamera {
LOG_DEFINE_CATEGORY(IPAIPU3)
using namespace std::literals::chrono_literals;
namespace ipa::ipu3 {
/**
* \brief The IPU3 IPA implementation
*
* The IPU3 Pipeline defines an IPU3-specific interface for communication
* between the PipelineHandler and the IPA module.
*
* We extend the IPAIPU3Interface to implement our algorithms and handle
* calls from the IPU3 PipelineHandler to satisfy requests from the
* application.
*
* At initialisation time, a CameraSensorHelper is instantiated to support
* camera-specific calculations, while the default controls are computed, and
* the algorithms are instantiated from the tuning data file.
*
* The IPU3 ImgU operates with a grid layout to divide the overall frame into
* rectangular cells of pixels. When the IPA is configured, we determine the
* best grid for the statistics based on the pipeline handler Bayer Down Scaler
* output size.
*
* Two main events are then handled to operate the IPU3 ImgU by populating its
* parameter buffer, and adapting the settings of the sensor attached to the
* IPU3 CIO2 through sensor-specific V4L2 controls.
*
* In fillParamsBuffer(), we populate the ImgU parameter buffer with
* settings to configure the device in preparation for handling the frame
* queued in the Request.
*
* When the frame has completed processing, the ImgU will generate a statistics
* buffer which is given to the IPA with processStatsBuffer(). In this we run the
* algorithms to parse the statistics and cache any results for the next
* fillParamsBuffer() call.
*
* The individual algorithms are split into modular components that are called
* iteratively to allow them to process statistics from the ImgU in the order
* defined in the tuning data file.
*
* The current implementation supports five core algorithms:
*
* - Auto focus (AF)
* - Automatic gain and exposure control (AGC)
* - Automatic white balance (AWB)
* - Black level correction (BLC)
* - Tone mapping (Gamma)
*
* AWB is implemented using a Greyworld algorithm, and calculates the red and
* blue gains to apply to generate a neutral grey frame overall.
*
* AGC is handled by calculating a histogram of the green channel to estimate an
* analogue gain and shutter time which will provide a well exposed frame. A
* low-pass IIR filter is used to smooth the changes to the sensor to reduce
* perceivable steps.
*
* The tone mapping algorithm provides a gamma correction table to improve the
* contrast of the scene.
*
* The black level compensation algorithm subtracts a hardcoded black level from
* all pixels.
*
* The IPU3 ImgU has further processing blocks to support image quality
* improvements through bayer and temporal noise reductions, however those are
* not supported in the current implementation, and will use default settings as
* provided by the kernel driver.
*
* Demosaicing is operating with the default parameters and could be further
* optimised to provide improved sharpening coefficients, checker artifact
* removal, and false color correction.
*
* Additional image enhancements can be made by providing lens and
* sensor-specific tuning to adapt for Black Level compensation (BLC), Lens
* shading correction (SHD) and Color correction (CCM).
*/
class IPAIPU3 : public IPAIPU3Interface, public Module
{
public:
IPAIPU3();
int init(const IPASettings &settings,
const IPACameraSensorInfo &sensorInfo,
const ControlInfoMap &sensorControls,
ControlInfoMap *ipaControls) override;
int start() override;
void stop() override;
int configure(const IPAConfigInfo &configInfo,
ControlInfoMap *ipaControls) override;
void mapBuffers(const std::vector<IPABuffer> &buffers) override;
void unmapBuffers(const std::vector<unsigned int> &ids) override;
void queueRequest(const uint32_t frame, const ControlList &controls) override;
void fillParamsBuffer(const uint32_t frame, const uint32_t bufferId) override;
void processStatsBuffer(const uint32_t frame, const int64_t frameTimestamp,
const uint32_t bufferId,
const ControlList &sensorControls) override;
protected:
std::string logPrefix() const override;
private:
void updateControls(const IPACameraSensorInfo &sensorInfo,
const ControlInfoMap &sensorControls,
ControlInfoMap *ipaControls);
void updateSessionConfiguration(const ControlInfoMap &sensorControls);
void setControls(unsigned int frame);
void calculateBdsGrid(const Size &bdsOutputSize);
std::map<unsigned int, MappedFrameBuffer> buffers_;
ControlInfoMap sensorCtrls_;
ControlInfoMap lensCtrls_;
IPACameraSensorInfo sensorInfo_;
/* Interface to the Camera Helper */
std::unique_ptr<CameraSensorHelper> camHelper_;
/* Local parameter storage */
struct IPAContext context_;
};
IPAIPU3::IPAIPU3()
: context_({ {}, {}, { kMaxFrameContexts }, {} })
{
}
std::string IPAIPU3::logPrefix() const
{
return "ipu3";
}
/**
* \brief Compute IPASessionConfiguration using the sensor information and the
* sensor V4L2 controls
*/
void IPAIPU3::updateSessionConfiguration(const ControlInfoMap &sensorControls)
{
const ControlInfo vBlank = sensorControls.find(V4L2_CID_VBLANK)->second;
context_.configuration.sensor.defVBlank = vBlank.def().get<int32_t>();
const ControlInfo &v4l2Exposure = sensorControls.find(V4L2_CID_EXPOSURE)->second;
int32_t minExposure = v4l2Exposure.min().get<int32_t>();
int32_t maxExposure = v4l2Exposure.max().get<int32_t>();
const ControlInfo &v4l2Gain = sensorControls.find(V4L2_CID_ANALOGUE_GAIN)->second;
int32_t minGain = v4l2Gain.min().get<int32_t>();
int32_t maxGain = v4l2Gain.max().get<int32_t>();
/*
* When the AGC computes the new exposure values for a frame, it needs
* to know the limits for shutter speed and analogue gain.
* As it depends on the sensor, update it with the controls.
*
* \todo take VBLANK into account for maximum shutter speed
*/
context_.configuration.agc.minShutterSpeed = minExposure * context_.configuration.sensor.lineDuration;
context_.configuration.agc.maxShutterSpeed = maxExposure * context_.configuration.sensor.lineDuration;
context_.configuration.agc.minAnalogueGain = camHelper_->gain(minGain);
context_.configuration.agc.maxAnalogueGain = camHelper_->gain(maxGain);
}
/**
* \brief Compute camera controls using the sensor information and the sensor
* V4L2 controls
*
* Some of the camera controls are computed by the pipeline handler, some others
* by the IPA module which is in charge of handling, for example, the exposure
* time and the frame duration.
*
* This function computes:
* - controls::ExposureTime
* - controls::FrameDurationLimits
*/
void IPAIPU3::updateControls(const IPACameraSensorInfo &sensorInfo,
const ControlInfoMap &sensorControls,
ControlInfoMap *ipaControls)
{
ControlInfoMap::Map controls{};
double lineDuration = context_.configuration.sensor.lineDuration.get<std::micro>();
/*
* Compute exposure time limits by using line length and pixel rate
* converted to microseconds. Use the V4L2_CID_EXPOSURE control to get
* exposure min, max and default and convert it from lines to
* microseconds.
*/
const ControlInfo &v4l2Exposure = sensorControls.find(V4L2_CID_EXPOSURE)->second;
int32_t minExposure = v4l2Exposure.min().get<int32_t>() * lineDuration;
int32_t maxExposure = v4l2Exposure.max().get<int32_t>() * lineDuration;
int32_t defExposure = v4l2Exposure.def().get<int32_t>() * lineDuration;
controls[&controls::ExposureTime] = ControlInfo(minExposure, maxExposure,
defExposure);
/*
* Compute the frame duration limits.
*
* The frame length is computed assuming a fixed line length combined
* with the vertical frame sizes.
*/
const ControlInfo &v4l2HBlank = sensorControls.find(V4L2_CID_HBLANK)->second;
uint32_t hblank = v4l2HBlank.def().get<int32_t>();
uint32_t lineLength = sensorInfo.outputSize.width + hblank;
const ControlInfo &v4l2VBlank = sensorControls.find(V4L2_CID_VBLANK)->second;
std::array<uint32_t, 3> frameHeights{
v4l2VBlank.min().get<int32_t>() + sensorInfo.outputSize.height,
v4l2VBlank.max().get<int32_t>() + sensorInfo.outputSize.height,
v4l2VBlank.def().get<int32_t>() + sensorInfo.outputSize.height,
};
std::array<int64_t, 3> frameDurations;
for (unsigned int i = 0; i < frameHeights.size(); ++i) {
uint64_t frameSize = lineLength * frameHeights[i];
frameDurations[i] = frameSize / (sensorInfo.pixelRate / 1000000U);
}
controls[&controls::FrameDurationLimits] = ControlInfo(frameDurations[0],
frameDurations[1],
frameDurations[2]);
controls.merge(context_.ctrlMap);
*ipaControls = ControlInfoMap(std::move(controls), controls::controls);
}
/**
* \brief Initialize the IPA module and its controls
*
* This function receives the camera sensor information from the pipeline
* handler, computes the limits of the controls it handles and returns
* them in the \a ipaControls output parameter.
*/
int IPAIPU3::init(const IPASettings &settings,
const IPACameraSensorInfo &sensorInfo,
const ControlInfoMap &sensorControls,
ControlInfoMap *ipaControls)
{
camHelper_ = CameraSensorHelperFactoryBase::create(settings.sensorModel);
if (camHelper_ == nullptr) {
LOG(IPAIPU3, Error)
<< "Failed to create camera sensor helper for "
<< settings.sensorModel;
return -ENODEV;
}
/* Clean context */
context_.configuration = {};
context_.configuration.sensor.lineDuration = sensorInfo.minLineLength
* 1.0s / sensorInfo.pixelRate;
/* Load the tuning data file. */
File file(settings.configurationFile);
if (!file.open(File::OpenModeFlag::ReadOnly)) {
int ret = file.error();
LOG(IPAIPU3, Error)
<< "Failed to open configuration file "
<< settings.configurationFile << ": " << strerror(-ret);
return ret;
}
std::unique_ptr<libcamera::YamlObject> data = YamlParser::parse(file);
if (!data)
return -EINVAL;
unsigned int version = (*data)["version"].get<uint32_t>(0);
if (version != 1) {
LOG(IPAIPU3, Error)
<< "Invalid tuning file version " << version;
return -EINVAL;
}
if (!data->contains("algorithms")) {
LOG(IPAIPU3, Error)
<< "Tuning file doesn't contain any algorithm";
return -EINVAL;
}
int ret = createAlgorithms(context_, (*data)["algorithms"]);
if (ret)
return ret;
/* Initialize controls. */
updateControls(sensorInfo, sensorControls, ipaControls);
return 0;
}
/**
* \brief Perform any processing required before the first frame
*/
int IPAIPU3::start()
{
/*
* Set the sensors V4L2 controls before the first frame to ensure that
* we have an expected and known configuration from the start.
*/
setControls(0);
return 0;
}
/**
* \brief Ensure that all processing has completed
*/
void IPAIPU3::stop()
{
context_.frameContexts.clear();
}
/**
* \brief Calculate a grid for the AWB statistics
*
* This function calculates a grid for the AWB algorithm in the IPU3 firmware.
* Its input is the BDS output size calculated in the ImgU.
* It is limited for now to the simplest method: find the lesser error
* with the width/height and respective log2 width/height of the cells.
*
* \todo The frame is divided into cells which can be 8x8 => 64x64.
* As a smaller cell improves the algorithm precision, adapting the
* x_start and y_start parameters of the grid would provoke a loss of
* some pixels but would also result in more accurate algorithms.
*/
void IPAIPU3::calculateBdsGrid(const Size &bdsOutputSize)
{
Size best;
Size bestLog2;
/* Set the BDS output size in the IPAConfiguration structure */
context_.configuration.grid.bdsOutputSize = bdsOutputSize;
uint32_t minError = std::numeric_limits<uint32_t>::max();
for (uint32_t shift = kMinCellSizeLog2; shift <= kMaxCellSizeLog2; ++shift) {
uint32_t width = std::clamp(bdsOutputSize.width >> shift,
kMinGridWidth,
kMaxGridWidth);
width = width << shift;
uint32_t error = utils::abs_diff(width, bdsOutputSize.width);
if (error >= minError)
continue;
minError = error;
best.width = width;
bestLog2.width = shift;
}
minError = std::numeric_limits<uint32_t>::max();
for (uint32_t shift = kMinCellSizeLog2; shift <= kMaxCellSizeLog2; ++shift) {
uint32_t height = std::clamp(bdsOutputSize.height >> shift,
kMinGridHeight,
kMaxGridHeight);
height = height << shift;
uint32_t error = utils::abs_diff(height, bdsOutputSize.height);
if (error >= minError)
continue;
minError = error;
best.height = height;
bestLog2.height = shift;
}
struct ipu3_uapi_grid_config &bdsGrid = context_.configuration.grid.bdsGrid;
bdsGrid.x_start = 0;
bdsGrid.y_start = 0;
bdsGrid.width = best.width >> bestLog2.width;
bdsGrid.block_width_log2 = bestLog2.width;
bdsGrid.height = best.height >> bestLog2.height;
bdsGrid.block_height_log2 = bestLog2.height;
/* The ImgU pads the lines to a multiple of 4 cells. */
context_.configuration.grid.stride = utils::alignUp(bdsGrid.width, 4);
LOG(IPAIPU3, Debug) << "Best grid found is: ("
<< (int)bdsGrid.width << " << " << (int)bdsGrid.block_width_log2 << ") x ("
<< (int)bdsGrid.height << " << " << (int)bdsGrid.block_height_log2 << ")";
}
/**
* \brief Configure the IPU3 IPA
* \param[in] configInfo The IPA configuration data, received from the pipeline
* handler
* \param[in] ipaControls The IPA controls to update
*
* Calculate the best grid for the statistics based on the pipeline handler BDS
* output, and parse the minimum and maximum exposure and analogue gain control
* values.
*
* \todo Document what the BDS is, ideally in a block diagram of the ImgU.
*
* All algorithm modules are called to allow them to prepare the
* \a IPASessionConfiguration structure for the \a IPAContext.
*/
int IPAIPU3::configure(const IPAConfigInfo &configInfo,
ControlInfoMap *ipaControls)
{
if (configInfo.sensorControls.empty()) {
LOG(IPAIPU3, Error) << "No sensor controls provided";
return -ENODATA;
}
sensorInfo_ = configInfo.sensorInfo;
lensCtrls_ = configInfo.lensControls;
/* Clear the IPA context for the new streaming session. */
context_.activeState = {};
context_.configuration = {};
context_.frameContexts.clear();
/* Initialise the sensor configuration. */
context_.configuration.sensor.lineDuration = sensorInfo_.minLineLength
* 1.0s / sensorInfo_.pixelRate;
context_.configuration.sensor.size = sensorInfo_.outputSize;
/*
* Compute the sensor V4L2 controls to be used by the algorithms and
* to be set on the sensor.
*/
sensorCtrls_ = configInfo.sensorControls;
calculateBdsGrid(configInfo.bdsOutputSize);
/* Update the camera controls using the new sensor settings. */
updateControls(sensorInfo_, sensorCtrls_, ipaControls);
/* Update the IPASessionConfiguration using the sensor settings. */
updateSessionConfiguration(sensorCtrls_);
for (auto const &algo : algorithms()) {
int ret = algo->configure(context_, configInfo);
if (ret)
return ret;
}
return 0;
}
/**
* \brief Map the parameters and stats buffers allocated in the pipeline handler
* \param[in] buffers The buffers to map
*/
void IPAIPU3::mapBuffers(const std::vector<IPABuffer> &buffers)
{
for (const IPABuffer &buffer : buffers) {
const FrameBuffer fb(buffer.planes);
buffers_.emplace(buffer.id,
MappedFrameBuffer(&fb, MappedFrameBuffer::MapFlag::ReadWrite));
}
}
/**
* \brief Unmap the parameters and stats buffers
* \param[in] ids The IDs of the buffers to unmap
*/
void IPAIPU3::unmapBuffers(const std::vector<unsigned int> &ids)
{
for (unsigned int id : ids) {
auto it = buffers_.find(id);
if (it == buffers_.end())
continue;
buffers_.erase(it);
}
}
/**
* \brief Fill and return a buffer with ISP processing parameters for a frame
* \param[in] frame The frame number
* \param[in] bufferId ID of the parameter buffer to fill
*
* Algorithms are expected to fill the IPU3 parameter buffer for the next
* frame given their most recent processing of the ImgU statistics.
*/
void IPAIPU3::fillParamsBuffer(const uint32_t frame, const uint32_t bufferId)
{
auto it = buffers_.find(bufferId);
if (it == buffers_.end()) {
LOG(IPAIPU3, Error) << "Could not find param buffer!";
return;
}
Span<uint8_t> mem = it->second.planes()[0];
ipu3_uapi_params *params =
reinterpret_cast<ipu3_uapi_params *>(mem.data());
/*
* The incoming params buffer may contain uninitialised data, or the
* parameters of previously queued frames. Clearing the entire buffer
* may be an expensive operation, and the kernel will only read from
* structures which have their associated use-flag set.
*
* It is the responsibility of the algorithms to set the use flags
* accordingly for any data structure they update during prepare().
*/
params->use = {};
IPAFrameContext &frameContext = context_.frameContexts.get(frame);
for (auto const &algo : algorithms())
algo->prepare(context_, frame, frameContext, params);
paramsBufferReady.emit(frame);
}
/**
* \brief Process the statistics generated by the ImgU
* \param[in] frame The frame number
* \param[in] frameTimestamp Timestamp of the frame
* \param[in] bufferId ID of the statistics buffer
* \param[in] sensorControls Sensor controls
*
* Parse the most recently processed image statistics from the ImgU. The
* statistics are passed to each algorithm module to run their calculations and
* update their state accordingly.
*/
void IPAIPU3::processStatsBuffer(const uint32_t frame,
[[maybe_unused]] const int64_t frameTimestamp,
const uint32_t bufferId, const ControlList &sensorControls)
{
auto it = buffers_.find(bufferId);
if (it == buffers_.end()) {
LOG(IPAIPU3, Error) << "Could not find stats buffer!";
return;
}
Span<uint8_t> mem = it->second.planes()[0];
const ipu3_uapi_stats_3a *stats =
reinterpret_cast<ipu3_uapi_stats_3a *>(mem.data());
IPAFrameContext &frameContext = context_.frameContexts.get(frame);
frameContext.sensor.exposure = sensorControls.get(V4L2_CID_EXPOSURE).get<int32_t>();
frameContext.sensor.gain = camHelper_->gain(sensorControls.get(V4L2_CID_ANALOGUE_GAIN).get<int32_t>());
ControlList metadata(controls::controls);
for (auto const &algo : algorithms())
algo->process(context_, frame, frameContext, stats, metadata);
setControls(frame);
/*
* \todo The Metadata provides a path to getting extended data
* out to the application. Further data such as a simplifed Histogram
* might have value to be exposed, however such data may be
* difficult to report in a generically parsable way and we
* likely want to avoid putting platform specific metadata in.
*/
metadataReady.emit(frame, metadata);
}
/**
* \brief Queue a request and process the control list from the application
* \param[in] frame The number of the frame which will be processed next
* \param[in] controls The controls for the \a frame
*
* Parse the request to handle any IPA-managed controls that were set from the
* application such as manual sensor settings.
*/
void IPAIPU3::queueRequest(const uint32_t frame, const ControlList &controls)
{
IPAFrameContext &frameContext = context_.frameContexts.alloc(frame);
for (auto const &algo : algorithms())
algo->queueRequest(context_, frame, frameContext, controls);
}
/**
* \brief Handle sensor controls for a given \a frame number
* \param[in] frame The frame on which the sensor controls should be set
*
* Send the desired sensor control values to the pipeline handler to request
* that they are applied on the camera sensor.
*/
void IPAIPU3::setControls(unsigned int frame)
{
int32_t exposure = context_.activeState.agc.exposure;
int32_t gain = camHelper_->gainCode(context_.activeState.agc.gain);
ControlList ctrls(sensorCtrls_);
ctrls.set(V4L2_CID_EXPOSURE, exposure);
ctrls.set(V4L2_CID_ANALOGUE_GAIN, gain);
ControlList lensCtrls(lensCtrls_);
lensCtrls.set(V4L2_CID_FOCUS_ABSOLUTE,
static_cast<int32_t>(context_.activeState.af.focus));
setSensorControls.emit(frame, ctrls, lensCtrls);
}
} /* namespace ipa::ipu3 */
/**
* \brief External IPA module interface
*
* The IPAModuleInfo is required to match an IPA module construction against the
* intented pipeline handler with the module. The API and pipeline handler
* versions must match the corresponding IPA interface and pipeline handler.
*
* \sa struct IPAModuleInfo
*/
extern "C" {
const struct IPAModuleInfo ipaModuleInfo = {
IPA_MODULE_API_VERSION,
1,
"ipu3",
"ipu3",
};
/**
* \brief Create an instance of the IPA interface
*
* This function is the entry point of the IPA module. It is called by the IPA
* manager to create an instance of the IPA interface for each camera. When
* matched against with a pipeline handler, the IPAManager will construct an IPA
* instance for each associated Camera.
*/
IPAInterface *ipaCreate()
{
return new ipa::ipu3::IPAIPU3();
}
}
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/data/uncalibrated.yaml | # SPDX-License-Identifier: CC0-1.0
%YAML 1.1
---
version: 1
algorithms:
- Af:
- Agc:
- Awb:
- BlackLevelCorrection:
- ToneMapping:
...
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/algorithms/af.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Red Hat
*
* IPU3 auto focus algorithm
*/
#include "af.h"
#include <algorithm>
#include <chrono>
#include <cmath>
#include <fcntl.h>
#include <numeric>
#include <sys/ioctl.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <unistd.h>
#include <linux/videodev2.h>
#include <libcamera/base/log.h>
#include <libcamera/ipa/core_ipa_interface.h>
#include "libipa/histogram.h"
/**
* \file af.h
*/
/*
* Static variables from ChromiumOS Intel Camera HAL and ia_imaging library:
* - https://chromium.googlesource.com/chromiumos/platform/arc-camera/+/master/hal/intel/psl/ipu3/statsConverter/ipu3-stats.h
* - https://chromium.googlesource.com/chromiumos/platform/camera/+/refs/heads/main/hal/intel/ipu3/include/ia_imaging/af_public.h
*/
/** The minimum horizontal grid dimension. */
static constexpr uint8_t kAfMinGridWidth = 16;
/** The minimum vertical grid dimension. */
static constexpr uint8_t kAfMinGridHeight = 16;
/** The maximum horizontal grid dimension. */
static constexpr uint8_t kAfMaxGridWidth = 32;
/** The maximum vertical grid dimension. */
static constexpr uint8_t kAfMaxGridHeight = 24;
/** The minimum value of Log2 of the width of the grid cell. */
static constexpr uint16_t kAfMinGridBlockWidth = 4;
/** The minimum value of Log2 of the height of the grid cell. */
static constexpr uint16_t kAfMinGridBlockHeight = 3;
/** The maximum value of Log2 of the width of the grid cell. */
static constexpr uint16_t kAfMaxGridBlockWidth = 6;
/** The maximum value of Log2 of the height of the grid cell. */
static constexpr uint16_t kAfMaxGridBlockHeight = 6;
/** The number of blocks in vertical axis per slice. */
static constexpr uint16_t kAfDefaultHeightPerSlice = 2;
namespace libcamera {
using namespace std::literals::chrono_literals;
namespace ipa::ipu3::algorithms {
LOG_DEFINE_CATEGORY(IPU3Af)
/**
* Maximum focus steps of the VCM control
* \todo should be obtained from the VCM driver
*/
static constexpr uint32_t kMaxFocusSteps = 1023;
/* Minimum focus step for searching appropriate focus */
static constexpr uint32_t kCoarseSearchStep = 30;
static constexpr uint32_t kFineSearchStep = 1;
/* Max ratio of variance change, 0.0 < kMaxChange < 1.0 */
static constexpr double kMaxChange = 0.5;
/* The numbers of frame to be ignored, before performing focus scan. */
static constexpr uint32_t kIgnoreFrame = 10;
/* Fine scan range 0 < kFineRange < 1 */
static constexpr double kFineRange = 0.05;
/* Settings for IPU3 AF filter */
static struct ipu3_uapi_af_filter_config afFilterConfigDefault = {
.y1_coeff_0 = { 0, 1, 3, 7 },
.y1_coeff_1 = { 11, 13, 1, 2 },
.y1_coeff_2 = { 8, 19, 34, 242 },
.y1_sign_vec = 0x7fdffbfe,
.y2_coeff_0 = { 0, 1, 6, 6 },
.y2_coeff_1 = { 13, 25, 3, 0 },
.y2_coeff_2 = { 25, 3, 177, 254 },
.y2_sign_vec = 0x4e53ca72,
.y_calc = { 8, 8, 8, 8 },
.nf = { 0, 9, 0, 9, 0 },
};
/**
* \class Af
* \brief An auto-focus algorithm based on IPU3 statistics
*
* This algorithm is used to determine the position of the lens to make a
* focused image. The IPU3 AF processing block computes the statistics that
* are composed by two types of filtered value and stores in a AF buffer.
* Typically, for a clear image, it has a relatively higher contrast than a
* blurred one. Therefore, if an image with the highest contrast can be
* found through the scan, the position of the len indicates to a clearest
* image.
*/
Af::Af()
: focus_(0), bestFocus_(0), currentVariance_(0.0), previousVariance_(0.0),
coarseCompleted_(false), fineCompleted_(false)
{
}
/**
* \brief Configure the Af given a configInfo
* \param[in] context The shared IPA context
* \param[in] configInfo The IPA configuration data
* \return 0 on success, a negative error code otherwise
*/
int Af::configure(IPAContext &context, const IPAConfigInfo &configInfo)
{
struct ipu3_uapi_grid_config &grid = context.configuration.af.afGrid;
grid.width = kAfMinGridWidth;
grid.height = kAfMinGridHeight;
grid.block_width_log2 = kAfMinGridBlockWidth;
grid.block_height_log2 = kAfMinGridBlockHeight;
/*
* \todo - while this clamping code is effectively a no-op, it satisfies
* the compiler that the constant definitions of the hardware limits
* are used, and paves the way to support dynamic grid sizing in the
* future. While the block_{width,height}_log2 remain assigned to the
* minimum, this code should be optimized out by the compiler.
*/
grid.width = std::clamp(grid.width, kAfMinGridWidth, kAfMaxGridWidth);
grid.height = std::clamp(grid.height, kAfMinGridHeight, kAfMaxGridHeight);
grid.block_width_log2 = std::clamp(grid.block_width_log2,
kAfMinGridBlockWidth,
kAfMaxGridBlockWidth);
grid.block_height_log2 = std::clamp(grid.block_height_log2,
kAfMinGridBlockHeight,
kAfMaxGridBlockHeight);
grid.height_per_slice = kAfDefaultHeightPerSlice;
/* Position the AF grid in the center of the BDS output. */
Rectangle bds(configInfo.bdsOutputSize);
Size gridSize(grid.width << grid.block_width_log2,
grid.height << grid.block_height_log2);
/*
* \todo - Support request metadata
* - Set the ROI based on any input controls in the request
* - Return the AF ROI as metadata in the Request
*/
Rectangle roi = gridSize.centeredTo(bds.center());
Point start = roi.topLeft();
/* x_start and y_start should be even */
grid.x_start = utils::alignDown(start.x, 2);
grid.y_start = utils::alignDown(start.y, 2);
grid.y_start |= IPU3_UAPI_GRID_Y_START_EN;
/* Initial max focus step */
maxStep_ = kMaxFocusSteps;
/* Initial frame ignore counter */
afIgnoreFrameReset();
/* Initial focus value */
context.activeState.af.focus = 0;
/* Maximum variance of the AF statistics */
context.activeState.af.maxVariance = 0;
/* The stable AF value flag. if it is true, the AF should be in a stable state. */
context.activeState.af.stable = false;
return 0;
}
/**
* \copydoc libcamera::ipa::Algorithm::prepare
*/
void Af::prepare(IPAContext &context,
[[maybe_unused]] const uint32_t frame,
[[maybe_unused]] IPAFrameContext &frameContext,
ipu3_uapi_params *params)
{
const struct ipu3_uapi_grid_config &grid = context.configuration.af.afGrid;
params->acc_param.af.grid_cfg = grid;
params->acc_param.af.filter_config = afFilterConfigDefault;
/* Enable AF processing block */
params->use.acc_af = 1;
}
/**
* \brief AF coarse scan
* \param[in] context The shared IPA context
*
* Find a near focused image using a coarse step. The step is determined by
* kCoarseSearchStep.
*/
void Af::afCoarseScan(IPAContext &context)
{
if (coarseCompleted_)
return;
if (afNeedIgnoreFrame())
return;
if (afScan(context, kCoarseSearchStep)) {
coarseCompleted_ = true;
context.activeState.af.maxVariance = 0;
focus_ = context.activeState.af.focus -
(context.activeState.af.focus * kFineRange);
context.activeState.af.focus = focus_;
previousVariance_ = 0;
maxStep_ = std::clamp(focus_ + static_cast<uint32_t>((focus_ * kFineRange)),
0U, kMaxFocusSteps);
}
}
/**
* \brief AF fine scan
* \param[in] context The shared IPA context
*
* Find an optimum lens position with moving 1 step for each search.
*/
void Af::afFineScan(IPAContext &context)
{
if (!coarseCompleted_)
return;
if (afNeedIgnoreFrame())
return;
if (afScan(context, kFineSearchStep)) {
context.activeState.af.stable = true;
fineCompleted_ = true;
}
}
/**
* \brief AF reset
* \param[in] context The shared IPA context
*
* Reset all the parameters to start over the AF process.
*/
void Af::afReset(IPAContext &context)
{
if (afNeedIgnoreFrame())
return;
context.activeState.af.maxVariance = 0;
context.activeState.af.focus = 0;
focus_ = 0;
context.activeState.af.stable = false;
ignoreCounter_ = kIgnoreFrame;
previousVariance_ = 0.0;
coarseCompleted_ = false;
fineCompleted_ = false;
maxStep_ = kMaxFocusSteps;
}
/**
* \brief AF variance comparison
* \param[in] context The IPA context
* \param[in] min_step The VCM movement step
*
* We always pick the largest variance to replace the previous one. The image
* with a larger variance also indicates it is a clearer image than previous
* one. If we find a negative derivative, we return immediately.
*
* \return True, if it finds a AF value.
*/
bool Af::afScan(IPAContext &context, int min_step)
{
if (focus_ > maxStep_) {
/* If reach the max step, move lens to the position. */
context.activeState.af.focus = bestFocus_;
return true;
} else {
/*
* Find the maximum of the variance by estimating its
* derivative. If the direction changes, it means we have
* passed a maximum one step before.
*/
if ((currentVariance_ - context.activeState.af.maxVariance) >=
-(context.activeState.af.maxVariance * 0.1)) {
/*
* Positive and zero derivative:
* The variance is still increasing. The focus could be
* increased for the next comparison. Also, the max variance
* and previous focus value are updated.
*/
bestFocus_ = focus_;
focus_ += min_step;
context.activeState.af.focus = focus_;
context.activeState.af.maxVariance = currentVariance_;
} else {
/*
* Negative derivative:
* The variance starts to decrease which means the maximum
* variance is found. Set focus step to previous good one
* then return immediately.
*/
context.activeState.af.focus = bestFocus_;
return true;
}
}
previousVariance_ = currentVariance_;
LOG(IPU3Af, Debug) << " Previous step is "
<< bestFocus_
<< " Current step is "
<< focus_;
return false;
}
/**
* \brief Determine the frame to be ignored
* \return Return True if the frame should be ignored, false otherwise
*/
bool Af::afNeedIgnoreFrame()
{
if (ignoreCounter_ == 0)
return false;
else
ignoreCounter_--;
return true;
}
/**
* \brief Reset frame ignore counter
*/
void Af::afIgnoreFrameReset()
{
ignoreCounter_ = kIgnoreFrame;
}
/**
* \brief Estimate variance
* \param[in] y_items The AF filter data set from the IPU3 statistics buffer
* \param[in] isY1 Selects between filter Y1 or Y2 to calculate the variance
*
* Calculate the mean of the data set provided by \a y_item, and then calculate
* the variance of that data set from the mean.
*
* The operation can work on one of two sets of values contained within the
* y_item data set supplied by the IPU3. The two data sets are the results of
* both the Y1 and Y2 filters which are used to support coarse (Y1) and fine
* (Y2) calculations of the contrast.
*
* \return The variance of the values in the data set \a y_item selected by \a isY1
*/
double Af::afEstimateVariance(Span<const y_table_item_t> y_items, bool isY1)
{
uint32_t total = 0;
double mean;
double var_sum = 0;
for (auto y : y_items)
total += isY1 ? y.y1_avg : y.y2_avg;
mean = total / y_items.size();
for (auto y : y_items) {
double avg = isY1 ? y.y1_avg : y.y2_avg;
var_sum += pow(avg - mean, 2);
}
return var_sum / y_items.size();
}
/**
* \brief Determine out-of-focus situation
* \param[in] context The IPA context
*
* Out-of-focus means that the variance change rate for a focused and a new
* variance is greater than a threshold.
*
* \return True if the variance threshold is crossed indicating lost focus,
* false otherwise
*/
bool Af::afIsOutOfFocus(IPAContext &context)
{
const uint32_t diff_var = std::abs(currentVariance_ -
context.activeState.af.maxVariance);
const double var_ratio = diff_var / context.activeState.af.maxVariance;
LOG(IPU3Af, Debug) << "Variance change rate: "
<< var_ratio
<< " Current VCM step: "
<< context.activeState.af.focus;
if (var_ratio > kMaxChange)
return true;
else
return false;
}
/**
* \brief Determine the max contrast image and lens position
* \param[in] context The IPA context
* \param[in] frame The frame context sequence number
* \param[in] frameContext The current frame context
* \param[in] stats The statistics buffer of IPU3
* \param[out] metadata Metadata for the frame, to be filled by the algorithm
*
* Ideally, a clear image also has a relatively higher contrast. So, every
* image for each focus step should be tested to find an optimal focus step.
*
* The Hill Climbing Algorithm[1] is used to find the maximum variance of the
* AF statistics which is the AF output of IPU3. The focus step is increased
* then the variance of the AF statistics are estimated. If it finds the
* negative derivative we have just passed the peak, and we infer that the best
* focus is found.
*
* [1] Hill Climbing Algorithm, https://en.wikipedia.org/wiki/Hill_climbing
*/
void Af::process(IPAContext &context, [[maybe_unused]] const uint32_t frame,
[[maybe_unused]] IPAFrameContext &frameContext,
const ipu3_uapi_stats_3a *stats,
[[maybe_unused]] ControlList &metadata)
{
/* Evaluate the AF buffer length */
uint32_t afRawBufferLen = context.configuration.af.afGrid.width *
context.configuration.af.afGrid.height;
ASSERT(afRawBufferLen < IPU3_UAPI_AF_Y_TABLE_MAX_SIZE);
Span<const y_table_item_t> y_items(reinterpret_cast<const y_table_item_t *>(&stats->af_raw_buffer.y_table),
afRawBufferLen);
/*
* Calculate the mean and the variance of AF statistics for a given grid.
* For coarse: y1 are used.
* For fine: y2 results are used.
*/
currentVariance_ = afEstimateVariance(y_items, !coarseCompleted_);
if (!context.activeState.af.stable) {
afCoarseScan(context);
afFineScan(context);
} else {
if (afIsOutOfFocus(context))
afReset(context);
else
afIgnoreFrameReset();
}
}
REGISTER_IPA_ALGORITHM(Af, "Af")
} /* namespace ipa::ipu3::algorithms */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/algorithms/tone_mapping.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Google inc.
*
* IPU3 ToneMapping and Gamma control
*/
#pragma once
#include "algorithm.h"
namespace libcamera {
namespace ipa::ipu3::algorithms {
class ToneMapping : public Algorithm
{
public:
ToneMapping();
int configure(IPAContext &context, const IPAConfigInfo &configInfo) override;
void prepare(IPAContext &context, const uint32_t frame,
IPAFrameContext &frameContext, ipu3_uapi_params *params) override;
void process(IPAContext &context, const uint32_t frame,
IPAFrameContext &frameContext,
const ipu3_uapi_stats_3a *stats,
ControlList &metadata) override;
private:
double gamma_;
};
} /* namespace ipa::ipu3::algorithms */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/algorithms/awb.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Ideas On Board
*
* AWB control algorithm
*/
#include "awb.h"
#include <algorithm>
#include <cmath>
#include <libcamera/base/log.h>
#include <libcamera/control_ids.h>
/**
* \file awb.h
*/
namespace libcamera {
namespace ipa::ipu3::algorithms {
LOG_DEFINE_CATEGORY(IPU3Awb)
/*
* When zones are used for the grey world algorithm, they are only considered if
* their average green value is at least 16/255 (after black level subtraction)
* to exclude zones that are too dark and don't provide relevant colour
* information (on the opposite side of the spectrum, saturated regions are
* excluded by the ImgU statistics engine).
*/
static constexpr uint32_t kMinGreenLevelInZone = 16;
/*
* Minimum proportion of non-saturated cells in a zone for the zone to be used
* by the AWB algorithm.
*/
static constexpr double kMaxCellSaturationRatio = 0.8;
/*
* Maximum ratio of saturated pixels in a cell for the cell to be considered
* non-saturated and counted by the AWB algorithm.
*/
static constexpr uint32_t kMinCellsPerZoneRatio = 255 * 90 / 100;
/**
* \struct Accumulator
* \brief RGB statistics for a given zone
*
* Accumulate red, green and blue values for each non-saturated item over a
* zone. Items can for instance be pixels, but also the average of groups of
* pixels, depending on who uses the accumulator.
* \todo move this description and structure into a common header
*
* Zones which are saturated beyond the threshold defined in
* ipu3_uapi_awb_config_s are not included in the average.
*
* \var Accumulator::counted
* \brief Number of unsaturated cells used to calculate the sums
*
* \var Accumulator::sum
* \brief A structure containing the average red, green and blue sums
*
* \var Accumulator::sum.red
* \brief Sum of the average red values of each unsaturated cell in the zone
*
* \var Accumulator::sum.green
* \brief Sum of the average green values of each unsaturated cell in the zone
*
* \var Accumulator::sum.blue
* \brief Sum of the average blue values of each unsaturated cell in the zone
*/
/**
* \struct Awb::AwbStatus
* \brief AWB parameters calculated
*
* The AwbStatus structure is intended to store the AWB
* parameters calculated by the algorithm
*
* \var AwbStatus::temperatureK
* \brief Color temperature calculated
*
* \var AwbStatus::redGain
* \brief Gain calculated for the red channel
*
* \var AwbStatus::greenGain
* \brief Gain calculated for the green channel
*
* \var AwbStatus::blueGain
* \brief Gain calculated for the blue channel
*/
/* Default settings for Bayer noise reduction replicated from the Kernel */
static const struct ipu3_uapi_bnr_static_config imguCssBnrDefaults = {
.wb_gains = { 16, 16, 16, 16 },
.wb_gains_thr = { 255, 255, 255, 255 },
.thr_coeffs = { 1700, 0, 31, 31, 0, 16 },
.thr_ctrl_shd = { 26, 26, 26, 26 },
.opt_center = { -648, 0, -366, 0 },
.lut = {
{ 17, 23, 28, 32, 36, 39, 42, 45,
48, 51, 53, 55, 58, 60, 62, 64,
66, 68, 70, 72, 73, 75, 77, 78,
80, 82, 83, 85, 86, 88, 89, 90 } },
.bp_ctrl = { 20, 0, 1, 40, 0, 6, 0, 6, 0 },
.dn_detect_ctrl = { 9, 3, 4, 0, 8, 0, 1, 1, 1, 1, 0 },
.column_size = 1296,
.opt_center_sqr = { 419904, 133956 },
};
/* Default color correction matrix defined as an identity matrix */
static const struct ipu3_uapi_ccm_mat_config imguCssCcmDefault = {
8191, 0, 0, 0,
0, 8191, 0, 0,
0, 0, 8191, 0
};
/**
* \class Awb
* \brief A Grey world white balance correction algorithm
*
* The Grey World algorithm assumes that the scene, in average, is neutral grey.
* Reference: Lam, Edmund & Fung, George. (2008). Automatic White Balancing in
* Digital Photography. 10.1201/9781420054538.ch10.
*
* The IPU3 generates statistics from the Bayer Down Scaler output into a grid
* defined in the ipu3_uapi_awb_config_s structure.
*
* - Cells are defined in Pixels
* - Zones are defined in Cells
*
* 80 cells
* /───────────── 1280 pixels ───────────\
* 16 zones
* 16
* ┌────┬────┬────┬────┬────┬─ ──────┬────┐ \
* │Cell│ │ │ │ │ | │ │ │
* 16 │ px │ │ │ │ │ | │ │ │
* ├────┼────┼────┼────┼────┼─ ──────┼────┤ │
* │ │ │ │ │ │ | │ │
* │ │ │ │ │ │ | │ │ 7
* │ ── │ ── │ ── │ ── │ ── │ ── ── ─┤ ── │ 1 2 4
* │ │ │ │ │ │ | │ │ 2 0 5
*
* │ │ │ │ │ │ | │ │ z p c
* ├────┼────┼────┼────┼────┼─ ──────┼────┤ o i e
* │ │ │ │ │ │ | │ │ n x l
* │ │ | │ │ e e l
* ├─── ───┼─ ──────┼────┤ s l s
* │ │ | │ │ s
* │ │ | │ │
* ├─── Zone of Cells ───┼─ ──────┼────┤ │
* │ (5 x 4) │ | │ │ │
* │ │ | │ │ │
* ├── ───┼─ ──────┼────┤ │
* │ │ │ | │ │ │
* │ │ │ │ │ │ | │ │ │
* └────┴────┴────┴────┴────┴─ ──────┴────┘ /
*
*
* In each cell, the ImgU computes for each colour component the average of all
* unsaturated pixels (below a programmable threshold). It also provides the
* ratio of saturated pixels in the cell.
*
* The AWB algorithm operates on a coarser grid, made by grouping cells from the
* hardware grid into zones. The number of zones is fixed to \a kAwbStatsSizeX x
* \a kAwbStatsSizeY. For example, a frame of 1280x720 is divided into 80x45
* cells of [16x16] pixels and 16x12 zones of [5x4] cells each
* (\a kAwbStatsSizeX=16 and \a kAwbStatsSizeY=12). If the number of cells isn't
* an exact multiple of the number of zones, the right-most and bottom-most
* cells are ignored. The grid configuration is computed by
* IPAIPU3::calculateBdsGrid().
*
* Before calculating the gains, the algorithm aggregates the cell averages for
* each zone in generateAwbStats(). Cells that have a too high ratio of
* saturated pixels are ignored, and only zones that contain enough
* non-saturated cells are then used by the algorithm.
*
* The Grey World algorithm will then estimate the red and blue gains to apply, and
* store the results in the metadata. The green gain is always set to 1.
*/
Awb::Awb()
: Algorithm()
{
asyncResults_.blueGain = 1.0;
asyncResults_.greenGain = 1.0;
asyncResults_.redGain = 1.0;
asyncResults_.temperatureK = 4500;
zones_.reserve(kAwbStatsSizeX * kAwbStatsSizeY);
}
Awb::~Awb() = default;
/**
* \copydoc libcamera::ipa::Algorithm::configure
*/
int Awb::configure(IPAContext &context,
[[maybe_unused]] const IPAConfigInfo &configInfo)
{
const ipu3_uapi_grid_config &grid = context.configuration.grid.bdsGrid;
stride_ = context.configuration.grid.stride;
cellsPerZoneX_ = std::round(grid.width / static_cast<double>(kAwbStatsSizeX));
cellsPerZoneY_ = std::round(grid.height / static_cast<double>(kAwbStatsSizeY));
/*
* Configure the minimum proportion of cells counted within a zone
* for it to be relevant for the grey world algorithm.
* \todo This proportion could be configured.
*/
cellsPerZoneThreshold_ = cellsPerZoneX_ * cellsPerZoneY_ * kMaxCellSaturationRatio;
LOG(IPU3Awb, Debug) << "Threshold for AWB is set to " << cellsPerZoneThreshold_;
return 0;
}
constexpr uint16_t Awb::threshold(float value)
{
/* AWB thresholds are in the range [0, 8191] */
return value * 8191;
}
constexpr uint16_t Awb::gainValue(double gain)
{
/*
* The colour gains applied by the BNR for the four channels (Gr, R, B
* and Gb) are expressed in the parameters structure as 16-bit integers
* that store a fixed-point U3.13 value in the range [0, 8[.
*
* The real gain value is equal to the gain parameter plus one, i.e.
*
* Pout = Pin * (1 + gain / 8192)
*
* where 'Pin' is the input pixel value, 'Pout' the output pixel value,
* and 'gain' the gain in the parameters structure as a 16-bit integer.
*/
return std::clamp((gain - 1.0) * 8192, 0.0, 65535.0);
}
/**
* \copydoc libcamera::ipa::Algorithm::prepare
*/
void Awb::prepare(IPAContext &context,
[[maybe_unused]] const uint32_t frame,
[[maybe_unused]] IPAFrameContext &frameContext,
ipu3_uapi_params *params)
{
/*
* Green saturation thresholds are reduced because we are using the
* green channel only in the exposure computation.
*/
params->acc_param.awb.config.rgbs_thr_r = threshold(1.0);
params->acc_param.awb.config.rgbs_thr_gr = threshold(0.9);
params->acc_param.awb.config.rgbs_thr_gb = threshold(0.9);
params->acc_param.awb.config.rgbs_thr_b = threshold(1.0);
/*
* Enable saturation inclusion on thr_b for ImgU to update the
* ipu3_uapi_awb_set_item->sat_ratio field.
*/
params->acc_param.awb.config.rgbs_thr_b |= IPU3_UAPI_AWB_RGBS_THR_B_INCL_SAT |
IPU3_UAPI_AWB_RGBS_THR_B_EN;
const ipu3_uapi_grid_config &grid = context.configuration.grid.bdsGrid;
params->acc_param.awb.config.grid = context.configuration.grid.bdsGrid;
/*
* Optical center is column start (respectively row start) of the
* cell of interest minus its X center (respectively Y center).
*
* For the moment use BDS as a first approximation, but it should
* be calculated based on Shading (SHD) parameters.
*/
params->acc_param.bnr = imguCssBnrDefaults;
Size &bdsOutputSize = context.configuration.grid.bdsOutputSize;
params->acc_param.bnr.column_size = bdsOutputSize.width;
params->acc_param.bnr.opt_center.x_reset = grid.x_start - (bdsOutputSize.width / 2);
params->acc_param.bnr.opt_center.y_reset = grid.y_start - (bdsOutputSize.height / 2);
params->acc_param.bnr.opt_center_sqr.x_sqr_reset = params->acc_param.bnr.opt_center.x_reset
* params->acc_param.bnr.opt_center.x_reset;
params->acc_param.bnr.opt_center_sqr.y_sqr_reset = params->acc_param.bnr.opt_center.y_reset
* params->acc_param.bnr.opt_center.y_reset;
params->acc_param.bnr.wb_gains.gr = gainValue(context.activeState.awb.gains.green);
params->acc_param.bnr.wb_gains.r = gainValue(context.activeState.awb.gains.red);
params->acc_param.bnr.wb_gains.b = gainValue(context.activeState.awb.gains.blue);
params->acc_param.bnr.wb_gains.gb = gainValue(context.activeState.awb.gains.green);
LOG(IPU3Awb, Debug) << "Color temperature estimated: " << asyncResults_.temperatureK;
/* The CCM matrix may change when color temperature will be used */
params->acc_param.ccm = imguCssCcmDefault;
params->use.acc_awb = 1;
params->use.acc_bnr = 1;
params->use.acc_ccm = 1;
}
/**
* The function estimates the correlated color temperature using
* from RGB color space input.
* In physics and color science, the Planckian locus or black body locus is
* the path or locus that the color of an incandescent black body would take
* in a particular chromaticity space as the blackbody temperature changes.
*
* If a narrow range of color temperatures is considered (those encapsulating
* daylight being the most practical case) one can approximate the Planckian
* locus in order to calculate the CCT in terms of chromaticity coordinates.
*
* More detailed information can be found in:
* https://en.wikipedia.org/wiki/Color_temperature#Approximation
*/
uint32_t Awb::estimateCCT(double red, double green, double blue)
{
/* Convert the RGB values to CIE tristimulus values (XYZ) */
double X = (-0.14282) * (red) + (1.54924) * (green) + (-0.95641) * (blue);
double Y = (-0.32466) * (red) + (1.57837) * (green) + (-0.73191) * (blue);
double Z = (-0.68202) * (red) + (0.77073) * (green) + (0.56332) * (blue);
/* Calculate the normalized chromaticity values */
double x = X / (X + Y + Z);
double y = Y / (X + Y + Z);
/* Calculate CCT */
double n = (x - 0.3320) / (0.1858 - y);
return 449 * n * n * n + 3525 * n * n + 6823.3 * n + 5520.33;
}
/* Generate an RGB vector with the average values for each zone */
void Awb::generateZones()
{
zones_.clear();
for (unsigned int i = 0; i < kAwbStatsSizeX * kAwbStatsSizeY; i++) {
RGB zone;
double counted = awbStats_[i].counted;
if (counted >= cellsPerZoneThreshold_) {
zone.G = awbStats_[i].sum.green / counted;
if (zone.G >= kMinGreenLevelInZone) {
zone.R = awbStats_[i].sum.red / counted;
zone.B = awbStats_[i].sum.blue / counted;
zones_.push_back(zone);
}
}
}
}
/* Translate the IPU3 statistics into the default statistics zone array */
void Awb::generateAwbStats(const ipu3_uapi_stats_3a *stats)
{
/*
* Generate a (kAwbStatsSizeX x kAwbStatsSizeY) array from the IPU3 grid which is
* (grid.width x grid.height).
*/
for (unsigned int cellY = 0; cellY < kAwbStatsSizeY * cellsPerZoneY_; cellY++) {
for (unsigned int cellX = 0; cellX < kAwbStatsSizeX * cellsPerZoneX_; cellX++) {
uint32_t cellPosition = cellY * stride_ + cellX;
uint32_t zoneX = cellX / cellsPerZoneX_;
uint32_t zoneY = cellY / cellsPerZoneY_;
uint32_t awbZonePosition = zoneY * kAwbStatsSizeX + zoneX;
/* Cast the initial IPU3 structure to simplify the reading */
const ipu3_uapi_awb_set_item *currentCell =
reinterpret_cast<const ipu3_uapi_awb_set_item *>(
&stats->awb_raw_buffer.meta_data[cellPosition]
);
/*
* Use cells which have less than 90%
* saturation as an initial means to include
* otherwise bright cells which are not fully
* saturated.
*
* \todo The 90% saturation rate may require
* further empirical measurements and
* optimisation during camera tuning phases.
*/
if (currentCell->sat_ratio <= kMinCellsPerZoneRatio) {
/* The cell is not saturated, use the current cell */
awbStats_[awbZonePosition].counted++;
uint32_t greenValue = currentCell->Gr_avg + currentCell->Gb_avg;
awbStats_[awbZonePosition].sum.green += greenValue / 2;
awbStats_[awbZonePosition].sum.red += currentCell->R_avg;
awbStats_[awbZonePosition].sum.blue += currentCell->B_avg;
}
}
}
}
void Awb::clearAwbStats()
{
for (unsigned int i = 0; i < kAwbStatsSizeX * kAwbStatsSizeY; i++) {
awbStats_[i].sum.blue = 0;
awbStats_[i].sum.red = 0;
awbStats_[i].sum.green = 0;
awbStats_[i].counted = 0;
}
}
void Awb::awbGreyWorld()
{
LOG(IPU3Awb, Debug) << "Grey world AWB";
/*
* Make a separate list of the derivatives for each of red and blue, so
* that we can sort them to exclude the extreme gains. We could
* consider some variations, such as normalising all the zones first, or
* doing an L2 average etc.
*/
std::vector<RGB> &redDerivative(zones_);
std::vector<RGB> blueDerivative(redDerivative);
std::sort(redDerivative.begin(), redDerivative.end(),
[](RGB const &a, RGB const &b) {
return a.G * b.R < b.G * a.R;
});
std::sort(blueDerivative.begin(), blueDerivative.end(),
[](RGB const &a, RGB const &b) {
return a.G * b.B < b.G * a.B;
});
/* Average the middle half of the values. */
int discard = redDerivative.size() / 4;
RGB sumRed(0, 0, 0);
RGB sumBlue(0, 0, 0);
for (auto ri = redDerivative.begin() + discard,
bi = blueDerivative.begin() + discard;
ri != redDerivative.end() - discard; ri++, bi++)
sumRed += *ri, sumBlue += *bi;
double redGain = sumRed.G / (sumRed.R + 1),
blueGain = sumBlue.G / (sumBlue.B + 1);
/* Color temperature is not relevant in Grey world but still useful to estimate it :-) */
asyncResults_.temperatureK = estimateCCT(sumRed.R, sumRed.G, sumBlue.B);
/*
* Gain values are unsigned integer value ranging [0, 8) with 13 bit
* fractional part.
*/
redGain = std::clamp(redGain, 0.0, 65535.0 / 8192);
blueGain = std::clamp(blueGain, 0.0, 65535.0 / 8192);
asyncResults_.redGain = redGain;
/* Hardcode the green gain to 1.0. */
asyncResults_.greenGain = 1.0;
asyncResults_.blueGain = blueGain;
}
void Awb::calculateWBGains(const ipu3_uapi_stats_3a *stats)
{
ASSERT(stats->stats_3a_status.awb_en);
clearAwbStats();
generateAwbStats(stats);
generateZones();
LOG(IPU3Awb, Debug) << "Valid zones: " << zones_.size();
if (zones_.size() > 10) {
awbGreyWorld();
LOG(IPU3Awb, Debug) << "Gain found for red: " << asyncResults_.redGain
<< " and for blue: " << asyncResults_.blueGain;
}
}
/**
* \copydoc libcamera::ipa::Algorithm::process
*/
void Awb::process(IPAContext &context, [[maybe_unused]] const uint32_t frame,
[[maybe_unused]] IPAFrameContext &frameContext,
const ipu3_uapi_stats_3a *stats,
[[maybe_unused]] ControlList &metadata)
{
calculateWBGains(stats);
/*
* Gains are only recalculated if enough zones were detected.
* The results are cached, so if no results were calculated, we set the
* cached values from asyncResults_ here.
*/
context.activeState.awb.gains.blue = asyncResults_.blueGain;
context.activeState.awb.gains.green = asyncResults_.greenGain;
context.activeState.awb.gains.red = asyncResults_.redGain;
context.activeState.awb.temperatureK = asyncResults_.temperatureK;
metadata.set(controls::AwbEnable, true);
metadata.set(controls::ColourGains, {
static_cast<float>(context.activeState.awb.gains.red),
static_cast<float>(context.activeState.awb.gains.blue)
});
metadata.set(controls::ColourTemperature,
context.activeState.awb.temperatureK);
}
REGISTER_IPA_ALGORITHM(Awb, "Awb")
} /* namespace ipa::ipu3::algorithms */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/algorithms/af.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Red Hat
*
* IPU3 Af algorithm
*/
#pragma once
#include <linux/intel-ipu3.h>
#include <libcamera/base/utils.h>
#include <libcamera/geometry.h>
#include "algorithm.h"
namespace libcamera {
namespace ipa::ipu3::algorithms {
class Af : public Algorithm
{
/* The format of y_table. From ipu3-ipa repo */
typedef struct __attribute__((packed)) y_table_item {
uint16_t y1_avg;
uint16_t y2_avg;
} y_table_item_t;
public:
Af();
~Af() = default;
int configure(IPAContext &context, const IPAConfigInfo &configInfo) override;
void prepare(IPAContext &context, const uint32_t frame,
IPAFrameContext &frameContext,
ipu3_uapi_params *params) override;
void process(IPAContext &context, const uint32_t frame,
IPAFrameContext &frameContext,
const ipu3_uapi_stats_3a *stats,
ControlList &metadata) override;
private:
void afCoarseScan(IPAContext &context);
void afFineScan(IPAContext &context);
bool afScan(IPAContext &context, int min_step);
void afReset(IPAContext &context);
bool afNeedIgnoreFrame();
void afIgnoreFrameReset();
double afEstimateVariance(Span<const y_table_item_t> y_items, bool isY1);
bool afIsOutOfFocus(IPAContext &context);
/* VCM step configuration. It is the current setting of the VCM step. */
uint32_t focus_;
/* The best VCM step. It is a local optimum VCM step during scanning. */
uint32_t bestFocus_;
/* Current AF statistic variance. */
double currentVariance_;
/* The frames are ignore before starting measuring. */
uint32_t ignoreCounter_;
/* It is used to determine the derivative during scanning */
double previousVariance_;
/* The designated maximum range of focus scanning. */
uint32_t maxStep_;
/* If the coarse scan completes, it is set to true. */
bool coarseCompleted_;
/* If the fine scan completes, it is set to true. */
bool fineCompleted_;
};
} /* namespace ipa::ipu3::algorithms */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/algorithms/tone_mapping.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Google inc.
*
* IPU3 ToneMapping and Gamma control
*/
#include "tone_mapping.h"
#include <cmath>
#include <string.h>
/**
* \file tone_mapping.h
*/
namespace libcamera {
namespace ipa::ipu3::algorithms {
/**
* \class ToneMapping
* \brief A class to handle tone mapping based on gamma
*
* This algorithm improves the image dynamic using a look-up table which is
* generated based on a gamma parameter.
*/
ToneMapping::ToneMapping()
: gamma_(1.0)
{
}
/**
* \brief Configure the tone mapping given a configInfo
* \param[in] context The shared IPA context
* \param[in] configInfo The IPA configuration data
*
* \return 0
*/
int ToneMapping::configure(IPAContext &context,
[[maybe_unused]] const IPAConfigInfo &configInfo)
{
/* Initialise tone mapping gamma value. */
context.activeState.toneMapping.gamma = 0.0;
return 0;
}
/**
* \brief Fill in the parameter structure, and enable gamma control
* \param[in] context The shared IPA context
* \param[in] frame The frame context sequence number
* \param[in] frameContext The FrameContext for this frame
* \param[out] params The IPU3 parameters
*
* Populate the IPU3 parameter structure with our tone mapping look up table and
* enable the gamma control module in the processing blocks.
*/
void ToneMapping::prepare([[maybe_unused]] IPAContext &context,
[[maybe_unused]] const uint32_t frame,
[[maybe_unused]] IPAFrameContext &frameContext,
ipu3_uapi_params *params)
{
/* Copy the calculated LUT into the parameters buffer. */
memcpy(params->acc_param.gamma.gc_lut.lut,
context.activeState.toneMapping.gammaCorrection.lut,
IPU3_UAPI_GAMMA_CORR_LUT_ENTRIES *
sizeof(params->acc_param.gamma.gc_lut.lut[0]));
/* Enable the custom gamma table. */
params->use.acc_gamma = 1;
params->acc_param.gamma.gc_ctrl.enable = 1;
}
/**
* \brief Calculate the tone mapping look up table
* \param[in] context The shared IPA context
* \param[in] frame The current frame sequence number
* \param[in] frameContext The current frame context
* \param[in] stats The IPU3 statistics and ISP results
* \param[out] metadata Metadata for the frame, to be filled by the algorithm
*
* The tone mapping look up table is generated as an inverse power curve from
* our gamma setting.
*/
void ToneMapping::process(IPAContext &context, [[maybe_unused]] const uint32_t frame,
[[maybe_unused]] IPAFrameContext &frameContext,
[[maybe_unused]] const ipu3_uapi_stats_3a *stats,
[[maybe_unused]] ControlList &metadata)
{
/*
* Hardcode gamma to 1.1 as a default for now.
*
* \todo Expose gamma control setting through the libcamera control API
*/
gamma_ = 1.1;
if (context.activeState.toneMapping.gamma == gamma_)
return;
struct ipu3_uapi_gamma_corr_lut &lut =
context.activeState.toneMapping.gammaCorrection;
for (uint32_t i = 0; i < std::size(lut.lut); i++) {
double j = static_cast<double>(i) / (std::size(lut.lut) - 1);
double gamma = std::pow(j, 1.0 / gamma_);
/* The output value is expressed on 13 bits. */
lut.lut[i] = gamma * 8191;
}
context.activeState.toneMapping.gamma = gamma_;
}
REGISTER_IPA_ALGORITHM(ToneMapping, "ToneMapping")
} /* namespace ipa::ipu3::algorithms */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/algorithms/blc.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Google inc.
*
* IPU3 Black Level Correction control
*/
#include "blc.h"
#include <string.h>
/**
* \file blc.h
* \brief IPU3 Black Level Correction control
*/
namespace libcamera {
namespace ipa::ipu3::algorithms {
/**
* \class BlackLevelCorrection
* \brief A class to handle black level correction
*
* The pixels output by the camera normally include a black level, because
* sensors do not always report a signal level of '0' for black. Pixels at or
* below this level should be considered black. To achieve that, the ImgU BLC
* algorithm subtracts a configurable offset from all pixels.
*
* The black level can be measured at runtime from an optical dark region of the
* camera sensor, or measured during the camera tuning process. The first option
* isn't currently supported.
*/
BlackLevelCorrection::BlackLevelCorrection()
{
}
/**
* \brief Fill in the parameter structure, and enable black level correction
* \param[in] context The shared IPA context
* \param[in] frame The frame context sequence number
* \param[in] frameContext The FrameContext for this frame
* \param[out] params The IPU3 parameters
*
* Populate the IPU3 parameter structure with the correction values for each
* channel and enable the corresponding ImgU block processing.
*/
void BlackLevelCorrection::prepare([[maybe_unused]] IPAContext &context,
[[maybe_unused]] const uint32_t frame,
[[maybe_unused]] IPAFrameContext &frameContext,
ipu3_uapi_params *params)
{
/*
* The Optical Black Level correction values
* \todo The correction values should come from sensor specific
* tuning processes. This is a first rough approximation.
*/
params->obgrid_param.gr = 64;
params->obgrid_param.r = 64;
params->obgrid_param.b = 64;
params->obgrid_param.gb = 64;
/* Enable the custom black level correction processing */
params->use.obgrid = 1;
params->use.obgrid_param = 1;
}
REGISTER_IPA_ALGORITHM(BlackLevelCorrection, "BlackLevelCorrection")
} /* namespace ipa::ipu3::algorithms */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/algorithms/blc.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Google inc.
*
* IPU3 Black Level Correction control
*/
#pragma once
#include "algorithm.h"
namespace libcamera {
namespace ipa::ipu3::algorithms {
class BlackLevelCorrection : public Algorithm
{
public:
BlackLevelCorrection();
void prepare(IPAContext &context, const uint32_t frame,
IPAFrameContext &frameContext,
ipu3_uapi_params *params) override;
};
} /* namespace ipa::ipu3::algorithms */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/algorithms/algorithm.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Ideas On Board
*
* IPU3 control algorithm interface
*/
#pragma once
#include <libipa/algorithm.h>
#include "module.h"
namespace libcamera {
namespace ipa::ipu3 {
using Algorithm = libcamera::ipa::Algorithm<Module>;
} /* namespace ipa::ipu3 */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/algorithms/awb.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Ideas On Board
*
* IPU3 AWB control algorithm
*/
#pragma once
#include <vector>
#include <linux/intel-ipu3.h>
#include <libcamera/geometry.h>
#include "algorithm.h"
namespace libcamera {
namespace ipa::ipu3::algorithms {
/* Region size for the statistics generation algorithm */
static constexpr uint32_t kAwbStatsSizeX = 16;
static constexpr uint32_t kAwbStatsSizeY = 12;
struct Accumulator {
unsigned int counted;
struct {
uint64_t red;
uint64_t green;
uint64_t blue;
} sum;
};
class Awb : public Algorithm
{
public:
Awb();
~Awb();
int configure(IPAContext &context, const IPAConfigInfo &configInfo) override;
void prepare(IPAContext &context, const uint32_t frame,
IPAFrameContext &frameContext,
ipu3_uapi_params *params) override;
void process(IPAContext &context, const uint32_t frame,
IPAFrameContext &frameContext,
const ipu3_uapi_stats_3a *stats,
ControlList &metadata) override;
private:
/* \todo Make these structs available to all the ISPs ? */
struct RGB {
RGB(double _R = 0, double _G = 0, double _B = 0)
: R(_R), G(_G), B(_B)
{
}
double R, G, B;
RGB &operator+=(RGB const &other)
{
R += other.R, G += other.G, B += other.B;
return *this;
}
};
struct AwbStatus {
double temperatureK;
double redGain;
double greenGain;
double blueGain;
};
private:
void calculateWBGains(const ipu3_uapi_stats_3a *stats);
void generateZones();
void generateAwbStats(const ipu3_uapi_stats_3a *stats);
void clearAwbStats();
void awbGreyWorld();
uint32_t estimateCCT(double red, double green, double blue);
static constexpr uint16_t threshold(float value);
static constexpr uint16_t gainValue(double gain);
std::vector<RGB> zones_;
Accumulator awbStats_[kAwbStatsSizeX * kAwbStatsSizeY];
AwbStatus asyncResults_;
uint32_t stride_;
uint32_t cellsPerZoneX_;
uint32_t cellsPerZoneY_;
uint32_t cellsPerZoneThreshold_;
};
} /* namespace ipa::ipu3::algorithms */
} /* namespace libcamera*/
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/algorithms/agc.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Ideas On Board
*
* IPU3 AGC/AEC mean-based control algorithm
*/
#pragma once
#include <linux/intel-ipu3.h>
#include <libcamera/base/utils.h>
#include <libcamera/geometry.h>
#include "libipa/agc_mean_luminance.h"
#include "libipa/histogram.h"
#include "algorithm.h"
namespace libcamera {
struct IPACameraSensorInfo;
namespace ipa::ipu3::algorithms {
class Agc : public Algorithm, public AgcMeanLuminance
{
public:
Agc();
~Agc() = default;
int init(IPAContext &context, const YamlObject &tuningData) override;
int configure(IPAContext &context, const IPAConfigInfo &configInfo) override;
void process(IPAContext &context, const uint32_t frame,
IPAFrameContext &frameContext,
const ipu3_uapi_stats_3a *stats,
ControlList &metadata) override;
private:
double estimateLuminance(double gain) const override;
Histogram parseStatistics(const ipu3_uapi_stats_3a *stats,
const ipu3_uapi_grid_config &grid);
utils::Duration minShutterSpeed_;
utils::Duration maxShutterSpeed_;
double minAnalogueGain_;
double maxAnalogueGain_;
uint32_t stride_;
double rGain_;
double gGain_;
double bGain_;
ipu3_uapi_grid_config bdsGrid_;
std::vector<std::tuple<uint8_t, uint8_t, uint8_t>> rgbTriples_;
};
} /* namespace ipa::ipu3::algorithms */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa/ipu3 | repos/libcamera/src/ipa/ipu3/algorithms/agc.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Ideas On Board
*
* AGC/AEC mean-based control algorithm
*/
#include "agc.h"
#include <algorithm>
#include <chrono>
#include <cmath>
#include <libcamera/base/log.h>
#include <libcamera/base/utils.h>
#include <libcamera/control_ids.h>
#include <libcamera/ipa/core_ipa_interface.h>
#include "libipa/histogram.h"
/**
* \file agc.h
*/
namespace libcamera {
using namespace std::literals::chrono_literals;
namespace ipa::ipu3::algorithms {
/**
* \class Agc
* \brief A mean-based auto-exposure algorithm
*
* This algorithm calculates a shutter time and an analogue gain so that the
* average value of the green channel of the brightest 2% of pixels approaches
* 0.5. The AWB gains are not used here, and all cells in the grid have the same
* weight, like an average-metering case. In this metering mode, the camera uses
* light information from the entire scene and creates an average for the final
* exposure setting, giving no weighting to any particular portion of the
* metered area.
*
* Reference: Battiato, Messina & Castorina. (2008). Exposure
* Correction for Imaging Devices: An Overview. 10.1201/9781420054538.ch12.
*/
LOG_DEFINE_CATEGORY(IPU3Agc)
/* Minimum limit for analogue gain value */
static constexpr double kMinAnalogueGain = 1.0;
/* \todo Honour the FrameDurationLimits control instead of hardcoding a limit */
static constexpr utils::Duration kMaxShutterSpeed = 60ms;
/* Histogram constants */
static constexpr uint32_t knumHistogramBins = 256;
Agc::Agc()
: minShutterSpeed_(0s), maxShutterSpeed_(0s)
{
}
/**
* \brief Initialise the AGC algorithm from tuning files
* \param[in] context The shared IPA context
* \param[in] tuningData The YamlObject containing Agc tuning data
*
* This function calls the base class' tuningData parsers to discover which
* control values are supported.
*
* \return 0 on success or errors from the base class
*/
int Agc::init(IPAContext &context, const YamlObject &tuningData)
{
int ret;
ret = parseTuningData(tuningData);
if (ret)
return ret;
context.ctrlMap.merge(controls());
return 0;
}
/**
* \brief Configure the AGC given a configInfo
* \param[in] context The shared IPA context
* \param[in] configInfo The IPA configuration data
*
* \return 0
*/
int Agc::configure(IPAContext &context,
[[maybe_unused]] const IPAConfigInfo &configInfo)
{
const IPASessionConfiguration &configuration = context.configuration;
IPAActiveState &activeState = context.activeState;
stride_ = configuration.grid.stride;
bdsGrid_ = configuration.grid.bdsGrid;
minShutterSpeed_ = configuration.agc.minShutterSpeed;
maxShutterSpeed_ = std::min(configuration.agc.maxShutterSpeed,
kMaxShutterSpeed);
minAnalogueGain_ = std::max(configuration.agc.minAnalogueGain, kMinAnalogueGain);
maxAnalogueGain_ = configuration.agc.maxAnalogueGain;
/* Configure the default exposure and gain. */
activeState.agc.gain = minAnalogueGain_;
activeState.agc.exposure = 10ms / configuration.sensor.lineDuration;
context.activeState.agc.constraintMode = constraintModes().begin()->first;
context.activeState.agc.exposureMode = exposureModeHelpers().begin()->first;
/* \todo Run this again when FrameDurationLimits is passed in */
setLimits(minShutterSpeed_, maxShutterSpeed_, minAnalogueGain_,
maxAnalogueGain_);
resetFrameCount();
return 0;
}
Histogram Agc::parseStatistics(const ipu3_uapi_stats_3a *stats,
const ipu3_uapi_grid_config &grid)
{
uint32_t hist[knumHistogramBins] = { 0 };
rgbTriples_.clear();
for (unsigned int cellY = 0; cellY < grid.height; cellY++) {
for (unsigned int cellX = 0; cellX < grid.width; cellX++) {
uint32_t cellPosition = cellY * stride_ + cellX;
const ipu3_uapi_awb_set_item *cell =
reinterpret_cast<const ipu3_uapi_awb_set_item *>(
&stats->awb_raw_buffer.meta_data[cellPosition]);
rgbTriples_.push_back({
cell->R_avg,
(cell->Gr_avg + cell->Gb_avg) / 2,
cell->B_avg
});
/*
* Store the average green value to estimate the
* brightness. Even the overexposed pixels are
* taken into account.
*/
hist[(cell->Gr_avg + cell->Gb_avg) / 2]++;
}
}
return Histogram(Span<uint32_t>(hist));
}
/**
* \brief Estimate the relative luminance of the frame with a given gain
* \param[in] gain The gain to apply in estimating luminance
*
* The estimation is based on the AWB statistics for the current frame. Red,
* green and blue averages for all cells are first multiplied by the gain, and
* then saturated to approximate the sensor behaviour at high brightness
* values. The approximation is quite rough, as it doesn't take into account
* non-linearities when approaching saturation.
*
* The relative luminance (Y) is computed from the linear RGB components using
* the Rec. 601 formula. The values are normalized to the [0.0, 1.0] range,
* where 1.0 corresponds to a theoretical perfect reflector of 100% reference
* white.
*
* More detailed information can be found in:
* https://en.wikipedia.org/wiki/Relative_luminance
*
* \return The relative luminance of the frame
*/
double Agc::estimateLuminance(double gain) const
{
double redSum = 0, greenSum = 0, blueSum = 0;
for (unsigned int i = 0; i < rgbTriples_.size(); i++) {
redSum += std::min(std::get<0>(rgbTriples_[i]) * gain, 255.0);
greenSum += std::min(std::get<1>(rgbTriples_[i]) * gain, 255.0);
blueSum += std::min(std::get<2>(rgbTriples_[i]) * gain, 255.0);
}
double ySum = redSum * rGain_ * 0.299
+ greenSum * gGain_ * 0.587
+ blueSum * bGain_ * 0.114;
return ySum / (bdsGrid_.height * bdsGrid_.width) / 255;
}
/**
* \brief Process IPU3 statistics, and run AGC operations
* \param[in] context The shared IPA context
* \param[in] frame The current frame sequence number
* \param[in] frameContext The current frame context
* \param[in] stats The IPU3 statistics and ISP results
* \param[out] metadata Metadata for the frame, to be filled by the algorithm
*
* Identify the current image brightness, and use that to estimate the optimal
* new exposure and gain for the scene.
*/
void Agc::process(IPAContext &context, [[maybe_unused]] const uint32_t frame,
IPAFrameContext &frameContext,
const ipu3_uapi_stats_3a *stats,
ControlList &metadata)
{
Histogram hist = parseStatistics(stats, context.configuration.grid.bdsGrid);
rGain_ = context.activeState.awb.gains.red;
gGain_ = context.activeState.awb.gains.blue;
bGain_ = context.activeState.awb.gains.green;
/*
* The Agc algorithm needs to know the effective exposure value that was
* applied to the sensor when the statistics were collected.
*/
utils::Duration exposureTime = context.configuration.sensor.lineDuration
* frameContext.sensor.exposure;
double analogueGain = frameContext.sensor.gain;
utils::Duration effectiveExposureValue = exposureTime * analogueGain;
utils::Duration shutterTime;
double aGain, dGain;
std::tie(shutterTime, aGain, dGain) =
calculateNewEv(context.activeState.agc.constraintMode,
context.activeState.agc.exposureMode, hist,
effectiveExposureValue);
LOG(IPU3Agc, Debug)
<< "Divided up shutter, analogue gain and digital gain are "
<< shutterTime << ", " << aGain << " and " << dGain;
IPAActiveState &activeState = context.activeState;
/* Update the estimated exposure and gain. */
activeState.agc.exposure = shutterTime / context.configuration.sensor.lineDuration;
activeState.agc.gain = aGain;
metadata.set(controls::AnalogueGain, frameContext.sensor.gain);
metadata.set(controls::ExposureTime, exposureTime.get<std::micro>());
/* \todo Use VBlank value calculated from each frame exposure. */
uint32_t vTotal = context.configuration.sensor.size.height
+ context.configuration.sensor.defVBlank;
utils::Duration frameDuration = context.configuration.sensor.lineDuration
* vTotal;
metadata.set(controls::FrameDuration, frameDuration.get<std::micro>());
}
REGISTER_IPA_ALGORITHM(Agc, "Agc")
} /* namespace ipa::ipu3::algorithms */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/exposure_mode_helper.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024, Paul Elder <[email protected]>
*
* Helper class that performs computations relating to exposure
*/
#pragma once
#include <tuple>
#include <utility>
#include <vector>
#include <libcamera/base/span.h>
#include <libcamera/base/utils.h>
namespace libcamera {
namespace ipa {
class ExposureModeHelper
{
public:
ExposureModeHelper(const Span<std::pair<utils::Duration, double>> stages);
~ExposureModeHelper() = default;
void setLimits(utils::Duration minShutter, utils::Duration maxShutter,
double minGain, double maxGain);
std::tuple<utils::Duration, double, double>
splitExposure(utils::Duration exposure) const;
utils::Duration minShutter() const { return minShutter_; }
utils::Duration maxShutter() const { return maxShutter_; }
double minGain() const { return minGain_; }
double maxGain() const { return maxGain_; }
private:
utils::Duration clampShutter(utils::Duration shutter) const;
double clampGain(double gain) const;
std::vector<utils::Duration> shutters_;
std::vector<double> gains_;
utils::Duration minShutter_;
utils::Duration maxShutter_;
double minGain_;
double maxGain_;
};
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/agc_mean_luminance.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024 Ideas on Board Oy
*
agc_mean_luminance.h - Base class for mean luminance AGC algorithms
*/
#pragma once
#include <map>
#include <memory>
#include <tuple>
#include <vector>
#include <libcamera/base/utils.h>
#include <libcamera/controls.h>
#include "libcamera/internal/yaml_parser.h"
#include "exposure_mode_helper.h"
#include "histogram.h"
namespace libcamera {
namespace ipa {
class AgcMeanLuminance
{
public:
AgcMeanLuminance();
virtual ~AgcMeanLuminance();
struct AgcConstraint {
enum class Bound {
Lower = 0,
Upper = 1
};
Bound bound;
double qLo;
double qHi;
double yTarget;
};
int parseTuningData(const YamlObject &tuningData);
void setLimits(utils::Duration minShutter, utils::Duration maxShutter,
double minGain, double maxGain);
std::map<int32_t, std::vector<AgcConstraint>> constraintModes()
{
return constraintModes_;
}
std::map<int32_t, std::shared_ptr<ExposureModeHelper>> exposureModeHelpers()
{
return exposureModeHelpers_;
}
ControlInfoMap::Map controls()
{
return controls_;
}
std::tuple<utils::Duration, double, double>
calculateNewEv(uint32_t constraintModeIndex, uint32_t exposureModeIndex,
const Histogram &yHist, utils::Duration effectiveExposureValue);
void resetFrameCount()
{
frameCount_ = 0;
}
private:
virtual double estimateLuminance(const double gain) const = 0;
void parseRelativeLuminanceTarget(const YamlObject &tuningData);
void parseConstraint(const YamlObject &modeDict, int32_t id);
int parseConstraintModes(const YamlObject &tuningData);
int parseExposureModes(const YamlObject &tuningData);
double estimateInitialGain() const;
double constraintClampGain(uint32_t constraintModeIndex,
const Histogram &hist,
double gain);
utils::Duration filterExposure(utils::Duration exposureValue);
uint64_t frameCount_;
utils::Duration filteredExposure_;
double relativeLuminanceTarget_;
std::map<int32_t, std::vector<AgcConstraint>> constraintModes_;
std::map<int32_t, std::shared_ptr<ExposureModeHelper>> exposureModeHelpers_;
ControlInfoMap::Map controls_;
};
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/matrix_interpolator.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024, Paul Elder <[email protected]>
*
* Helper class for interpolating maps of matrices
*/
#pragma once
#include <algorithm>
#include <map>
#include <string>
#include <tuple>
#include <libcamera/base/log.h>
#include "libcamera/internal/yaml_parser.h"
#include "matrix.h"
namespace libcamera {
LOG_DECLARE_CATEGORY(MatrixInterpolator)
namespace ipa {
#ifndef __DOXYGEN__
template<typename T, unsigned int R, unsigned int C,
std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr>
#else
template<typename T, unsigned int R, unsigned int C>
#endif /* __DOXYGEN__ */
class MatrixInterpolator
{
public:
MatrixInterpolator()
{
reset();
}
MatrixInterpolator(const std::map<unsigned int, Matrix<T, R, C>> &matrices)
{
for (const auto &pair : matrices)
matrices_[pair.first] = pair.second;
}
~MatrixInterpolator() {}
void reset()
{
matrices_.clear();
matrices_[0] = Matrix<T, R, C>::identity();
}
int readYaml(const libcamera::YamlObject &yaml,
const std::string &key_name,
const std::string &matrix_name)
{
matrices_.clear();
if (!yaml.isList()) {
LOG(MatrixInterpolator, Error) << "yaml object must be a list";
return -EINVAL;
}
for (const auto &value : yaml.asList()) {
unsigned int ct = std::stoul(value[key_name].get<std::string>(""));
std::optional<Matrix<T, R, C>> matrix =
value[matrix_name].get<Matrix<T, R, C>>();
if (!matrix) {
LOG(MatrixInterpolator, Error) << "Failed to read matrix";
return -EINVAL;
}
matrices_[ct] = *matrix;
LOG(MatrixInterpolator, Debug)
<< "Read matrix '" << matrix_name << "' for key '"
<< key_name << "' " << ct << ": "
<< matrices_[ct].toString();
}
if (matrices_.size() < 1) {
LOG(MatrixInterpolator, Error) << "Need at least one matrix";
return -EINVAL;
}
return 0;
}
Matrix<T, R, C> get(unsigned int ct)
{
ASSERT(matrices_.size() > 0);
if (matrices_.size() == 1 ||
ct <= matrices_.begin()->first)
return matrices_.begin()->second;
if (ct >= matrices_.rbegin()->first)
return matrices_.rbegin()->second;
if (matrices_.find(ct) != matrices_.end())
return matrices_[ct];
/* The above four guarantee that this will succeed */
auto iter = matrices_.upper_bound(ct);
unsigned int ctUpper = iter->first;
unsigned int ctLower = (--iter)->first;
double lambda = (ct - ctLower) / static_cast<double>(ctUpper - ctLower);
Matrix<T, R, C> ret =
lambda * matrices_[ctUpper] + (1.0 - lambda) * matrices_[ctLower];
return ret;
}
private:
std::map<unsigned int, Matrix<T, R, C>> matrices_;
};
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/matrix_interpolator.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024, Paul Elder <[email protected]>
*
* Helper class for interpolating maps of matrices
*/
#include "matrix_interpolator.h"
#include <algorithm>
#include <string>
#include <libcamera/base/log.h>
#include "libcamera/internal/yaml_parser.h"
#include "matrix.h"
/**
* \file matrix_interpolator.h
* \brief Helper class for interpolating maps of matrices
*/
namespace libcamera {
LOG_DEFINE_CATEGORY(MatrixInterpolator)
namespace ipa {
/**
* \class MatrixInterpolator
* \brief Class for storing, retrieving, and interpolating matrices
* \tparam T Type of numerical values to be stored in the matrices
* \tparam R Number of rows in the matrices
* \tparam C Number of columns in the matrices
*
* The main use case is to pass a map from color temperatures to corresponding
* matrices (eg. color correction), and then requesting a matrix for a specific
* color temperature. This class will abstract away the interpolation portion.
*/
/**
* \fn MatrixInterpolator::MatrixInterpolator(const std::map<unsigned int, Matrix<T, R, C>> &matrices)
* \brief Construct a matrix interpolator from a map of matrices
* \param matrices Map from which to construct the matrix interpolator
*/
/**
* \fn MatrixInterpolator::reset()
* \brief Reset the matrix interpolator content to a single identity matrix
*/
/**
* \fn int MatrixInterpolator<T, R, C>::readYaml()
* \brief Initialize an MatrixInterpolator instance from yaml
* \tparam T Type of data stored in the matrices
* \tparam R Number of rows of the matrices
* \tparam C Number of columns of the matrices
* \param[in] yaml The yaml object that contains the map of unsigned integers to matrices
* \param[in] key_name The name of the key in the yaml object
* \param[in] matrix_name The name of the matrix in the yaml object
*
* The yaml object is expected to be a list of maps. Each map has two or more
* pairs: one of \a key_name to the key value (usually color temperature), and
* one or more of \a matrix_name to the matrix. This is a bit difficult to
* explain, so here is an example (in python, as it is easier to parse than
* yaml):
* [
* {
* 'ct': 2860,
* 'ccm': [ 2.12089, -0.52461, -0.59629,
* -0.85342, 2.80445, -0.95103,
* -0.26897, -1.14788, 2.41685 ],
* 'offsets': [ 0, 0, 0 ]
* },
*
* {
* 'ct': 2960,
* 'ccm': [ 2.26962, -0.54174, -0.72789,
* -0.77008, 2.60271, -0.83262,
* -0.26036, -1.51254, 2.77289 ],
* 'offsets': [ 0, 0, 0 ]
* },
*
* {
* 'ct': 3603,
* 'ccm': [ 2.18644, -0.66148, -0.52496,
* -0.77828, 2.69474, -0.91645,
* -0.25239, -0.83059, 2.08298 ],
* 'offsets': [ 0, 0, 0 ]
* },
* ]
*
* In this case, \a key_name would be 'ct', and \a matrix_name can be either
* 'ccm' or 'offsets'. This way multiple matrix interpolators can be defined in
* one set of color temperature ranges in the tuning file, and they can be
* retrieved separately with the \a matrix_name parameter.
*
* \return Zero on success, negative error code otherwise
*/
/**
* \fn Matrix<T, R, C> MatrixInterpolator<T, R, C>::get(unsigned int key)
* \brief Retrieve a matrix from the list of matrices, interpolating if necessary
* \param[in] key The unsigned integer key of the matrix to retrieve
* \return The matrix corresponding to the color temperature
*/
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/exposure_mode_helper.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024, Paul Elder <[email protected]>
*
* Helper class that performs computations relating to exposure
*/
#include "exposure_mode_helper.h"
#include <algorithm>
#include <libcamera/base/log.h>
/**
* \file exposure_mode_helper.h
* \brief Helper class that performs computations relating to exposure
*
* AEGC algorithms have a need to split exposure between shutter time, analogue
* and digital gain. Multiple implementations do so based on paired stages of
* shutter time and gain limits; provide a helper to avoid duplicating the code.
*/
namespace libcamera {
using namespace std::literals::chrono_literals;
LOG_DEFINE_CATEGORY(ExposureModeHelper)
namespace ipa {
/**
* \class ExposureModeHelper
* \brief Class for splitting exposure into shutter time and total gain
*
* The ExposureModeHelper class provides a standard interface through which an
* AEGC algorithm can divide exposure between shutter time and gain. It is
* configured with a set of shutter time and gain pairs and works by initially
* fixing gain at 1.0 and increasing shutter time up to the shutter time value
* from the first pair in the set in an attempt to meet the required exposure
* value.
*
* If the required exposure is not achievable by the first shutter time value
* alone it ramps gain up to the value from the first pair in the set. If the
* required exposure is still not met it then allows shutter time to ramp up to
* the shutter time value from the second pair in the set, and continues in this
* vein until either the required exposure time is met, or else the hardware's
* shutter time or gain limits are reached.
*
* This method allows users to strike a balance between a well-exposed image and
* an acceptable frame-rate, as opposed to simply maximising shutter time
* followed by gain. The same helpers can be used to perform the latter
* operation if needed by passing an empty set of pairs to the initialisation
* function.
*
* The gain values may exceed a camera sensor's analogue gain limits if either
* it or the IPA is also capable of digital gain. The configure() function must
* be called with the hardware's limits to inform the helper of those
* constraints. Any gain that is needed will be applied as analogue gain first
* until the hardware's limit is reached, following which digital gain will be
* used.
*/
/**
* \brief Construct an ExposureModeHelper instance
* \param[in] stages The vector of paired shutter time and gain limits
*
* The input stages are shutter time and _total_ gain pairs; the gain
* encompasses both analogue and digital gain.
*
* The vector of stages may be empty. In that case, the helper will simply use
* the runtime limits set through setShutterGainLimits() instead.
*/
ExposureModeHelper::ExposureModeHelper(const Span<std::pair<utils::Duration, double>> stages)
{
minShutter_ = 0us;
maxShutter_ = 0us;
minGain_ = 0;
maxGain_ = 0;
for (const auto &[s, g] : stages) {
shutters_.push_back(s);
gains_.push_back(g);
}
}
/**
* \brief Set the shutter time and gain limits
* \param[in] minShutter The minimum shutter time supported
* \param[in] maxShutter The maximum shutter time supported
* \param[in] minGain The minimum analogue gain supported
* \param[in] maxGain The maximum analogue gain supported
*
* This function configures the shutter time and analogue gain limits that need
* to be adhered to as the helper divides up exposure. Note that this function
* *must* be called whenever those limits change and before splitExposure() is
* used.
*
* If the algorithm using the helpers needs to indicate that either shutter time
* or analogue gain or both should be fixed it can do so by setting both the
* minima and maxima to the same value.
*/
void ExposureModeHelper::setLimits(utils::Duration minShutter,
utils::Duration maxShutter,
double minGain, double maxGain)
{
minShutter_ = minShutter;
maxShutter_ = maxShutter;
minGain_ = minGain;
maxGain_ = maxGain;
}
utils::Duration ExposureModeHelper::clampShutter(utils::Duration shutter) const
{
return std::clamp(shutter, minShutter_, maxShutter_);
}
double ExposureModeHelper::clampGain(double gain) const
{
return std::clamp(gain, minGain_, maxGain_);
}
/**
* \brief Split exposure time into shutter time and gain
* \param[in] exposure Exposure time
*
* This function divides a given exposure time into shutter time, analogue and
* digital gain by iterating through stages of shutter time and gain limits. At
* each stage the current stage's shutter time limit is multiplied by the
* previous stage's gain limit (or 1.0 initially) to see if the combination of
* the two can meet the required exposure time. If they cannot then the current
* stage's shutter time limit is multiplied by the same stage's gain limit to
* see if that combination can meet the required exposure time. If they cannot
* then the function moves to consider the next stage.
*
* When a combination of shutter time and gain _stage_ limits are found that are
* sufficient to meet the required exposure time, the function attempts to
* reduce shutter time as much as possible whilst fixing gain and still meeting
* the exposure time. If a _runtime_ limit prevents shutter time from being
* lowered enough to meet the exposure time with gain fixed at the stage limit,
* gain is also lowered to compensate.
*
* Once the shutter time and gain values are ascertained, gain is assigned as
* analogue gain as much as possible, with digital gain only in use if the
* maximum analogue gain runtime limit is unable to accommodate the exposure
* value.
*
* If no combination of shutter time and gain limits is found that meets the
* required exposure time, the helper falls-back to simply maximising the
* shutter time first, followed by analogue gain, followed by digital gain.
*
* \return Tuple of shutter time, analogue gain, and digital gain
*/
std::tuple<utils::Duration, double, double>
ExposureModeHelper::splitExposure(utils::Duration exposure) const
{
ASSERT(maxShutter_);
ASSERT(maxGain_);
bool gainFixed = minGain_ == maxGain_;
bool shutterFixed = minShutter_ == maxShutter_;
/*
* There's no point entering the loop if we cannot change either gain
* nor shutter anyway.
*/
if (shutterFixed && gainFixed)
return { minShutter_, minGain_, exposure / (minShutter_ * minGain_) };
utils::Duration shutter;
double stageGain;
double gain;
for (unsigned int stage = 0; stage < gains_.size(); stage++) {
double lastStageGain = stage == 0 ? 1.0 : clampGain(gains_[stage - 1]);
utils::Duration stageShutter = clampShutter(shutters_[stage]);
stageGain = clampGain(gains_[stage]);
/*
* We perform the clamping on both shutter and gain in case the
* helper has had limits set that prevent those values being
* lowered beyond a certain minimum...this can happen at runtime
* for various reasons and so would not be known when the stage
* limits are initialised.
*/
if (stageShutter * lastStageGain >= exposure) {
shutter = clampShutter(exposure / clampGain(lastStageGain));
gain = clampGain(exposure / shutter);
return { shutter, gain, exposure / (shutter * gain) };
}
if (stageShutter * stageGain >= exposure) {
shutter = clampShutter(exposure / clampGain(stageGain));
gain = clampGain(exposure / shutter);
return { shutter, gain, exposure / (shutter * gain) };
}
}
/*
* From here on all we can do is max out the shutter time, followed by
* the analogue gain. If we still haven't achieved the target we send
* the rest of the exposure time to digital gain. If we were given no
* stages to use then set stageGain to 1.0 so that shutter time is maxed
* before gain touched at all.
*/
if (gains_.empty())
stageGain = 1.0;
shutter = clampShutter(exposure / clampGain(stageGain));
gain = clampGain(exposure / shutter);
return { shutter, gain, exposure / (shutter * gain) };
}
/**
* \fn ExposureModeHelper::minShutter()
* \brief Retrieve the configured minimum shutter time limit set through
* setShutterGainLimits()
* \return The minShutter_ value
*/
/**
* \fn ExposureModeHelper::maxShutter()
* \brief Retrieve the configured maximum shutter time set through
* setShutterGainLimits()
* \return The maxShutter_ value
*/
/**
* \fn ExposureModeHelper::minGain()
* \brief Retrieve the configured minimum gain set through
* setShutterGainLimits()
* \return The minGain_ value
*/
/**
* \fn ExposureModeHelper::maxGain()
* \brief Retrieve the configured maximum gain set through
* setShutterGainLimits()
* \return The maxGain_ value
*/
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/vector.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024, Paul Elder <[email protected]>
*
* Vector and related operations
*/
#include "vector.h"
#include <libcamera/base/log.h>
/**
* \file vector.h
* \brief Vector class
*/
namespace libcamera {
LOG_DEFINE_CATEGORY(Vector)
namespace ipa {
/**
* \class Vector
* \brief Vector class
* \tparam T Type of numerical values to be stored in the vector
* \tparam Rows Number of dimension of the vector (= number of elements)
*/
/**
* \fn Vector::Vector()
* \brief Construct a zero vector
*/
/**
* \fn Vector::Vector(const std::array<T, Rows> &data)
* \brief Construct vector from supplied data
* \param data Data from which to construct a vector
*
* The size of \a data must be equal to the dimension size Rows of the vector.
*/
/**
* \fn T Vector::operator[](size_t i) const
* \brief Index to an element in the vector
* \param i Index of element to retrieve
* \return Element at index \a i from the vector
*/
/**
* \fn T &Vector::operator[](size_t i)
* \copydoc Vector::operator[](size_t i) const
*/
/**
* \fn Vector::x()
* \brief Convenience function to access the first element of the vector
* \return The first element of the vector
*/
/**
* \fn Vector::y()
* \brief Convenience function to access the second element of the vector
* \return The second element of the vector
*/
/**
* \fn Vector::z()
* \brief Convenience function to access the third element of the vector
* \return The third element of the vector
*/
/**
* \fn Vector::operator-() const
* \brief Negate a Vector by negating both all of its coordinates
* \return The negated vector
*/
/**
* \fn Vector::operator-(Vector const &other) const
* \brief Subtract one vector from another
* \param[in] other The other vector
* \return The difference of \a other from this vector
*/
/**
* \fn Vector::operator+()
* \brief Add two vectors together
* \param[in] other The other vector
* \return The sum of the two vectors
*/
/**
* \fn Vector::operator*(const Vector<T, Rows> &other) const
* \brief Compute the dot product
* \param[in] other The other vector
* \return The dot product of the two vectors
*/
/**
* \fn Vector::operator*(T factor) const
* \brief Multiply the vector by a scalar
* \param[in] factor The factor
* \return The vector multiplied by \a factor
*/
/**
* \fn Vector::operator/()
* \brief Divide the vector by a scalar
* \param[in] factor The factor
* \return The vector divided by \a factor
*/
/**
* \fn Vector::length2()
* \brief Get the squared length of the vector
* \return The squared length of the vector
*/
/**
* \fn Vector::length()
* \brief Get the length of the vector
* \return The length of the vector
*/
/**
* \fn Vector<T, Rows> operator*(const Matrix<T, Rows, Cols> &m, const Vector<T, Cols> &v)
* \brief Multiply a matrix by a vector
* \tparam T Numerical type of the contents of the matrix and vector
* \tparam Rows The number of rows in the matrix
* \tparam Cols The number of columns in the matrix (= rows in the vector)
* \param m The matrix
* \param v The vector
* \return Product of matrix \a m and vector \a v
*/
/**
* \fn bool operator==(const Vector<T, Rows> &lhs, const Vector<T, Rows> &rhs)
* \brief Compare vectors for equality
* \return True if the two vectors are equal, false otherwise
*/
/**
* \fn bool operator!=(const Vector<T, Rows> &lhs, const Vector<T, Rows> &rhs)
* \brief Compare vectors for inequality
* \return True if the two vectors are not equal, false otherwise
*/
#ifndef __DOXYGEN__
bool vectorValidateYaml(const YamlObject &obj, unsigned int size)
{
if (!obj.isList())
return false;
if (obj.size() != size) {
LOG(Vector, Error)
<< "Wrong number of values in YAML vector: expected "
<< size << ", got " << obj.size();
return false;
}
return true;
}
#endif /* __DOXYGEN__ */
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/histogram.h | /* SPDX-License-Identifier: BSD-2-Clause */
/*
* Copyright (C) 2019, Raspberry Pi Ltd
*
* histogram calculation interface
*/
#pragma once
#include <assert.h>
#include <limits.h>
#include <stdint.h>
#include <type_traits>
#include <vector>
#include <libcamera/base/span.h>
#include <libcamera/base/utils.h>
namespace libcamera {
namespace ipa {
class Histogram
{
public:
Histogram() { cumulative_.push_back(0); }
Histogram(Span<const uint32_t> data);
template<typename Transform,
std::enable_if_t<std::is_invocable_v<Transform, uint32_t>> * = nullptr>
Histogram(Span<const uint32_t> data, Transform transform)
{
cumulative_.resize(data.size() + 1);
cumulative_[0] = 0;
for (const auto &[i, value] : utils::enumerate(data))
cumulative_[i + 1] = cumulative_[i] + transform(value);
}
size_t bins() const { return cumulative_.size() - 1; }
uint64_t total() const { return cumulative_[cumulative_.size() - 1]; }
uint64_t cumulativeFrequency(double bin) const;
double quantile(double q, uint32_t first = 0, uint32_t last = UINT_MAX) const;
double interQuantileMean(double lowQuantile, double hiQuantile) const;
private:
std::vector<uint64_t> cumulative_;
};
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/histogram.cpp | /* SPDX-License-Identifier: BSD-2-Clause */
/*
* Copyright (C) 2019, Raspberry Pi Ltd
*
* histogram calculations
*/
#include "histogram.h"
#include <cmath>
#include <libcamera/base/log.h>
/**
* \file histogram.h
* \brief Class to represent Histograms and manipulate them
*/
namespace libcamera {
namespace ipa {
/**
* \class Histogram
* \brief The base class for creating histograms
*
* This class stores a cumulative frequency histogram, which is a mapping that
* counts the cumulative number of observations in all of the bins up to the
* specified bin. It can be used to find quantiles and averages between quantiles.
*/
/**
* \fn Histogram::Histogram()
* \brief Construct an empty Histogram
*
* This empty constructor exists largely to allow Histograms to be embedded in
* other classes which may be created before the contents of the Histogram are
* known.
*/
/**
* \brief Create a cumulative histogram
* \param[in] data A (non-cumulative) histogram
*/
Histogram::Histogram(Span<const uint32_t> data)
{
cumulative_.resize(data.size() + 1);
cumulative_[0] = 0;
for (const auto &[i, value] : utils::enumerate(data))
cumulative_[i + 1] = cumulative_[i] + value;
}
/**
* \fn Histogram::Histogram(Span<const uint32_t> data, Transform transform)
* \brief Create a cumulative histogram
* \param[in] data A (non-cumulative) histogram
* \param[in] transform The transformation function to apply to every bin
*/
/**
* \fn Histogram::bins()
* \brief Retrieve the number of bins currently used by the Histogram
* \return Number of bins
*/
/**
* \fn Histogram::total()
* \brief Retrieve the total number of values in the data set
* \return Number of values
*/
/**
* \brief Cumulative frequency up to a (fractional) point in a bin
* \param[in] bin The bin up to which to cumulate
*
* With F(p) the cumulative frequency of the histogram, the value is 0 at
* the bottom of the histogram, and the maximum is the number of bins.
* The pixels are spread evenly throughout the “bin” in which they lie, so that
* F(p) is a continuous (monotonically increasing) function.
*
* \return The cumulative frequency from 0 up to the specified bin
*/
uint64_t Histogram::cumulativeFrequency(double bin) const
{
if (bin <= 0)
return 0;
else if (bin >= bins())
return total();
int b = static_cast<int32_t>(bin);
return cumulative_[b] +
(bin - b) * (cumulative_[b + 1] - cumulative_[b]);
}
/**
* \brief Return the (fractional) bin of the point through the histogram
* \param[in] q the desired point (0 <= q <= 1)
* \param[in] first low limit (default is 0)
* \param[in] last high limit (default is UINT_MAX)
*
* A quantile gives us the point p = Q(q) in the range such that a proportion
* q of the pixels lie below p. A familiar quantile is Q(0.5) which is the median
* of a distribution.
*
* \return The fractional bin of the point
*/
double Histogram::quantile(double q, uint32_t first, uint32_t last) const
{
if (last == UINT_MAX)
last = cumulative_.size() - 2;
ASSERT(first <= last);
uint64_t item = q * total();
/* Binary search to find the right bin */
while (first < last) {
int middle = (first + last) / 2;
/* Is it between first and middle ? */
if (cumulative_[middle + 1] > item)
last = middle;
else
first = middle + 1;
}
ASSERT(item >= cumulative_[first] && item <= cumulative_[last + 1]);
double frac;
if (cumulative_[first + 1] == cumulative_[first])
frac = 0;
else
frac = (item - cumulative_[first]) / (cumulative_[first + 1] - cumulative_[first]);
return first + frac;
}
/**
* \brief Calculate the mean between two quantiles
* \param[in] lowQuantile low Quantile
* \param[in] highQuantile high Quantile
*
* Quantiles are not ideal for metering as they suffer several limitations.
* Instead, a concept is introduced here: inter-quantile mean.
* It returns the mean of all pixels between lowQuantile and highQuantile.
*
* \return The mean histogram bin value between the two quantiles
*/
double Histogram::interQuantileMean(double lowQuantile, double highQuantile) const
{
ASSERT(highQuantile > lowQuantile);
/* Proportion of pixels which lies below lowQuantile */
double lowPoint = quantile(lowQuantile);
/* Proportion of pixels which lies below highQuantile */
double highPoint = quantile(highQuantile, static_cast<uint32_t>(lowPoint));
double sumBinFreq = 0, cumulFreq = 0;
for (double p_next = floor(lowPoint) + 1.0;
p_next <= ceil(highPoint);
lowPoint = p_next, p_next += 1.0) {
int bin = floor(lowPoint);
double freq = (cumulative_[bin + 1] - cumulative_[bin])
* (std::min(p_next, highPoint) - lowPoint);
/* Accumulate weighted bin */
sumBinFreq += bin * freq;
/* Accumulate weights */
cumulFreq += freq;
}
/* add 0.5 to give an average for bin mid-points */
return sumBinFreq / cumulFreq + 0.5;
}
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/fc_queue.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2022, Google Inc.
*
* IPA Frame context queue
*/
#pragma once
#include <stdint.h>
#include <vector>
#include <libcamera/base/log.h>
namespace libcamera {
LOG_DECLARE_CATEGORY(FCQueue)
namespace ipa {
template<typename FrameContext>
class FCQueue;
struct FrameContext {
private:
template<typename T> friend class FCQueue;
uint32_t frame;
};
template<typename FrameContext>
class FCQueue
{
public:
FCQueue(unsigned int size)
: contexts_(size)
{
}
void clear()
{
for (FrameContext &ctx : contexts_)
ctx.frame = 0;
}
FrameContext &alloc(const uint32_t frame)
{
FrameContext &frameContext = contexts_[frame % contexts_.size()];
/*
* Do not re-initialise if a get() call has already fetched this
* frame context to preseve the context.
*
* \todo If the the sequence number of the context to initialise
* is smaller than the sequence number of the queue slot to use,
* it means that we had a serious request underrun and more
* frames than the queue size has been produced since the last
* time the application has queued a request. Does this deserve
* an error condition ?
*/
if (frame != 0 && frame <= frameContext.frame)
LOG(FCQueue, Warning)
<< "Frame " << frame << " already initialised";
else
init(frameContext, frame);
return frameContext;
}
FrameContext &get(uint32_t frame)
{
FrameContext &frameContext = contexts_[frame % contexts_.size()];
/*
* If the IPA algorithms try to access a frame context slot which
* has been already overwritten by a newer context, it means the
* frame context queue has overflowed and the desired context
* has been forever lost. The pipeline handler shall avoid
* queueing more requests to the IPA than the frame context
* queue size.
*/
if (frame < frameContext.frame)
LOG(FCQueue, Fatal) << "Frame context for " << frame
<< " has been overwritten by "
<< frameContext.frame;
if (frame == frameContext.frame)
return frameContext;
/*
* The frame context has been retrieved before it was
* initialised through the initialise() call. This indicates an
* algorithm attempted to access a Frame context before it was
* queued to the IPA. Controls applied for this request may be
* left unhandled.
*
* \todo Set an error flag for per-frame control errors.
*/
LOG(FCQueue, Warning)
<< "Obtained an uninitialised FrameContext for " << frame;
init(frameContext, frame);
return frameContext;
}
private:
void init(FrameContext &frameContext, const uint32_t frame)
{
frameContext = {};
frameContext.frame = frame;
}
std::vector<FrameContext> contexts_;
};
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/module.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2022, Ideas On Board
*
* IPA Module
*/
#include "module.h"
/**
* \file module.h
* \brief IPA Module common interface
*/
namespace libcamera {
LOG_DEFINE_CATEGORY(IPAModuleAlgo)
/**
* \brief The IPA (Image Processing Algorithm) namespace
*
* The IPA namespace groups all types specific to IPA modules. It serves as the
* top-level namespace for the IPA library libipa, and also contains
* module-specific namespaces for IPA modules.
*/
namespace ipa {
/**
* \class Module
* \brief The base class for all IPA modules
* \tparam Context The type of the shared IPA context
* \tparam FrameContext The type of the frame context
* \tparam Config The type of the IPA configuration data
* \tparam Params The type of the ISP specific parameters
* \tparam Stats The type of the IPA statistics and ISP results
*
* The Module class template defines a standard internal interface between IPA
* modules and libipa.
*
* While IPA modules are platform-specific, many of their internal functions are
* conceptually similar, even if they take different types of platform-specifc
* parameters. For instance, IPA modules could share code that instantiates,
* initializes and run algorithms if it wasn't for the fact that the the format
* of ISP parameters or statistics passed to the related functions is
* device-dependent.
*
* To enable a shared implementation of those common tasks in libipa, the Module
* class template defines a standard internal interface between IPA modules and
* libipa. The template parameters specify the types of module-dependent data.
* IPA modules shall create a specialization of the Module class template in
* their namespace, and use it to specialize other classes of libipa, such as
* the Algorithm class.
*/
/**
* \typedef Module::Context
* \brief The type of the shared IPA context
*/
/**
* \typedef Module::FrameContext
* \brief The type of the frame context
*/
/**
* \typedef Module::Config
* \brief The type of the IPA configuration data
*/
/**
* \typedef Module::Params
* \brief The type of the ISP specific parameters
*/
/**
* \typedef Module::Stats
* \brief The type of the IPA statistics and ISP results
*/
/**
* \fn Module::algorithms()
* \brief Retrieve the list of instantiated algorithms
* \return The list of instantiated algorithms
*/
/**
* \fn Module::createAlgorithms()
* \brief Create algorithms from YAML configuration data
* \param[in] context The IPA context
* \param[in] algorithms Algorithms configuration data as a parsed YamlObject
*
* This function iterates over the list of \a algorithms parsed from the YAML
* configuration file, and instantiates and initializes the corresponding
* algorithms. The configuration data is expected to be correct, any error
* causes the function to fail and return immediately.
*
* \return 0 on success, or a negative error code on failure
*/
/**
* \fn Module::registerAlgorithm()
* \brief Add an algorithm factory class to the list of available algorithms
* \param[in] factory Factory to use to construct the algorithm
*
* This function registers an algorithm factory. It is meant to be called by the
* AlgorithmFactory constructor only.
*/
/**
* \fn Module::createAlgorithm(const std::string &name)
* \brief Create an instance of an Algorithm by name
* \param[in] name The algorithm name
*
* This function is the entry point to algorithm instantiation for the IPA
* module. It creates and returns an instance of an algorithm identified by its
* \a name. If no such algorithm exists, the function returns nullptr.
*
* To make an algorithm available to the IPA module, it shall be registered with
* the REGISTER_IPA_ALGORITHM() macro.
*
* \return A new instance of the Algorithm subclass corresponding to the \a name
*/
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/module.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2022, Ideas On Board
*
* IPA module
*/
#pragma once
#include <list>
#include <memory>
#include <string>
#include <vector>
#include <libcamera/base/log.h>
#include <libcamera/base/utils.h>
#include "libcamera/internal/yaml_parser.h"
#include "algorithm.h"
namespace libcamera {
LOG_DECLARE_CATEGORY(IPAModuleAlgo)
namespace ipa {
template<typename _Context, typename _FrameContext, typename _Config,
typename _Params, typename _Stats>
class Module : public Loggable
{
public:
using Context = _Context;
using FrameContext = _FrameContext;
using Config = _Config;
using Params = _Params;
using Stats = _Stats;
virtual ~Module() {}
const std::list<std::unique_ptr<Algorithm<Module>>> &algorithms() const
{
return algorithms_;
}
int createAlgorithms(Context &context, const YamlObject &algorithms)
{
const auto &list = algorithms.asList();
for (const auto &[i, algo] : utils::enumerate(list)) {
if (!algo.isDictionary()) {
LOG(IPAModuleAlgo, Error)
<< "Invalid YAML syntax for algorithm " << i;
algorithms_.clear();
return -EINVAL;
}
int ret = createAlgorithm(context, algo);
if (ret) {
algorithms_.clear();
return ret;
}
}
return 0;
}
static void registerAlgorithm(AlgorithmFactoryBase<Module> *factory)
{
factories().push_back(factory);
}
private:
int createAlgorithm(Context &context, const YamlObject &data)
{
const auto &[name, algoData] = *data.asDict().begin();
std::unique_ptr<Algorithm<Module>> algo = createAlgorithm(name);
if (!algo) {
LOG(IPAModuleAlgo, Error)
<< "Algorithm '" << name << "' not found";
return -EINVAL;
}
int ret = algo->init(context, algoData);
if (ret) {
LOG(IPAModuleAlgo, Error)
<< "Algorithm '" << name << "' failed to initialize";
return ret;
}
LOG(IPAModuleAlgo, Debug)
<< "Instantiated algorithm '" << name << "'";
algorithms_.push_back(std::move(algo));
return 0;
}
static std::unique_ptr<Algorithm<Module>> createAlgorithm(const std::string &name)
{
for (const AlgorithmFactoryBase<Module> *factory : factories()) {
if (factory->name() == name)
return factory->create();
}
return nullptr;
}
static std::vector<AlgorithmFactoryBase<Module> *> &factories()
{
/*
* The static factories map is defined inside the function to ensure
* it gets initialized on first use, without any dependency on
* link order.
*/
static std::vector<AlgorithmFactoryBase<Module> *> factories;
return factories;
}
std::list<std::unique_ptr<Algorithm<Module>>> algorithms_;
};
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/algorithm.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Ideas On Board
*
* ISP control algorithm interface
*/
#pragma once
#include <memory>
#include <stdint.h>
#include <string>
#include <libcamera/controls.h>
namespace libcamera {
class YamlObject;
namespace ipa {
template<typename _Module>
class Algorithm
{
public:
using Module = _Module;
virtual ~Algorithm() {}
virtual int init([[maybe_unused]] typename Module::Context &context,
[[maybe_unused]] const YamlObject &tuningData)
{
return 0;
}
virtual int configure([[maybe_unused]] typename Module::Context &context,
[[maybe_unused]] const typename Module::Config &configInfo)
{
return 0;
}
virtual void queueRequest([[maybe_unused]] typename Module::Context &context,
[[maybe_unused]] const uint32_t frame,
[[maybe_unused]] typename Module::FrameContext &frameContext,
[[maybe_unused]] const ControlList &controls)
{
}
virtual void prepare([[maybe_unused]] typename Module::Context &context,
[[maybe_unused]] const uint32_t frame,
[[maybe_unused]] typename Module::FrameContext &frameContext,
[[maybe_unused]] typename Module::Params *params)
{
}
virtual void process([[maybe_unused]] typename Module::Context &context,
[[maybe_unused]] const uint32_t frame,
[[maybe_unused]] typename Module::FrameContext &frameContext,
[[maybe_unused]] const typename Module::Stats *stats,
[[maybe_unused]] ControlList &metadata)
{
}
};
template<typename _Module>
class AlgorithmFactoryBase
{
public:
AlgorithmFactoryBase(const char *name)
: name_(name)
{
_Module::registerAlgorithm(this);
}
virtual ~AlgorithmFactoryBase() = default;
const std::string &name() const { return name_; }
virtual std::unique_ptr<Algorithm<_Module>> create() const = 0;
private:
std::string name_;
};
template<typename _Algorithm>
class AlgorithmFactory : public AlgorithmFactoryBase<typename _Algorithm::Module>
{
public:
AlgorithmFactory(const char *name)
: AlgorithmFactoryBase<typename _Algorithm::Module>(name)
{
}
~AlgorithmFactory() = default;
std::unique_ptr<Algorithm<typename _Algorithm::Module>> create() const override
{
return std::make_unique<_Algorithm>();
}
};
#define REGISTER_IPA_ALGORITHM(algorithm, name) \
static AlgorithmFactory<algorithm> global_##algorithm##Factory(name);
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/agc_mean_luminance.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024 Ideas on Board Oy
*
* Base class for mean luminance AGC algorithms
*/
#include "agc_mean_luminance.h"
#include <cmath>
#include <libcamera/base/log.h>
#include <libcamera/control_ids.h>
#include "exposure_mode_helper.h"
using namespace libcamera::controls;
/**
* \file agc_mean_luminance.h
* \brief Base class implementing mean luminance AEGC
*/
namespace libcamera {
using namespace std::literals::chrono_literals;
LOG_DEFINE_CATEGORY(AgcMeanLuminance)
namespace ipa {
/*
* Number of frames for which to run the algorithm at full speed, before slowing
* down to prevent large and jarring changes in exposure from frame to frame.
*/
static constexpr uint32_t kNumStartupFrames = 10;
/*
* Default relative luminance target
*
* This value should be chosen so that when the camera points at a grey target,
* the resulting image brightness looks "right". Custom values can be passed
* as the relativeLuminanceTarget value in sensor tuning files.
*/
static constexpr double kDefaultRelativeLuminanceTarget = 0.16;
/**
* \struct AgcMeanLuminance::AgcConstraint
* \brief The boundaries and target for an AeConstraintMode constraint
*
* This structure describes an AeConstraintMode constraint for the purposes of
* this algorithm. These constraints are expressed as a pair of quantile
* boundaries for a histogram, along with a luminance target and a bounds-type.
* The algorithm uses the constraints by ensuring that the defined portion of a
* luminance histogram (I.E. lying between the two quantiles) is above or below
* the given luminance value.
*/
/**
* \enum AgcMeanLuminance::AgcConstraint::Bound
* \brief Specify whether the constraint defines a lower or upper bound
* \var AgcMeanLuminance::AgcConstraint::Lower
* \brief The constraint defines a lower bound
* \var AgcMeanLuminance::AgcConstraint::Upper
* \brief The constraint defines an upper bound
*/
/**
* \var AgcMeanLuminance::AgcConstraint::bound
* \brief The type of constraint bound
*/
/**
* \var AgcMeanLuminance::AgcConstraint::qLo
* \brief The lower quantile to use for the constraint
*/
/**
* \var AgcMeanLuminance::AgcConstraint::qHi
* \brief The upper quantile to use for the constraint
*/
/**
* \var AgcMeanLuminance::AgcConstraint::yTarget
* \brief The luminance target for the constraint
*/
/**
* \class AgcMeanLuminance
* \brief A mean-based auto-exposure algorithm
*
* This algorithm calculates a shutter time, analogue and digital gain such that
* the normalised mean luminance value of an image is driven towards a target,
* which itself is discovered from tuning data. The algorithm is a two-stage
* process.
*
* In the first stage, an initial gain value is derived by iteratively comparing
* the gain-adjusted mean luminance across the entire image against a target,
* and selecting a value which pushes it as closely as possible towards the
* target.
*
* In the second stage we calculate the gain required to drive the average of a
* section of a histogram to a target value, where the target and the boundaries
* of the section of the histogram used in the calculation are taken from the
* values defined for the currently configured AeConstraintMode within the
* tuning data. This class provides a helper function to parse those tuning data
* to discover the constraints, and so requires a specific format for those
* data which is described in \ref parseTuningData(). The gain from the first
* stage is then clamped to the gain from this stage.
*
* The final gain is used to adjust the effective exposure value of the image,
* and that new exposure value is divided into shutter time, analogue gain and
* digital gain according to the selected AeExposureMode. This class uses the
* \ref ExposureModeHelper class to assist in that division, and expects the
* data needed to initialise that class to be present in tuning data in a
* format described in \ref parseTuningData().
*
* In order to be able to use this algorithm an IPA module needs to be able to
* do the following:
*
* 1. Provide a luminance estimation across an entire image.
* 2. Provide a luminance Histogram for the image to use in calculating
* constraint compliance. The precision of the Histogram that is available
* will determine the supportable precision of the constraints.
*
* IPA modules that want to use this class to implement their AEGC algorithm
* should derive it and provide an overriding estimateLuminance() function for
* this class to use. They must call parseTuningData() in init(), and must also
* call setLimits() and resetFrameCounter() in configure(). They may then use
* calculateNewEv() in process(). If the limits passed to setLimits() change for
* any reason (for example, in response to a FrameDurationLimit control being
* passed in queueRequest()) then setLimits() must be called again with the new
* values.
*/
AgcMeanLuminance::AgcMeanLuminance()
: frameCount_(0), filteredExposure_(0s), relativeLuminanceTarget_(0)
{
}
AgcMeanLuminance::~AgcMeanLuminance() = default;
void AgcMeanLuminance::parseRelativeLuminanceTarget(const YamlObject &tuningData)
{
relativeLuminanceTarget_ =
tuningData["relativeLuminanceTarget"].get<double>(kDefaultRelativeLuminanceTarget);
}
void AgcMeanLuminance::parseConstraint(const YamlObject &modeDict, int32_t id)
{
for (const auto &[boundName, content] : modeDict.asDict()) {
if (boundName != "upper" && boundName != "lower") {
LOG(AgcMeanLuminance, Warning)
<< "Ignoring unknown constraint bound '" << boundName << "'";
continue;
}
unsigned int idx = static_cast<unsigned int>(boundName == "upper");
AgcConstraint::Bound bound = static_cast<AgcConstraint::Bound>(idx);
double qLo = content["qLo"].get<double>().value_or(0.98);
double qHi = content["qHi"].get<double>().value_or(1.0);
double yTarget =
content["yTarget"].getList<double>().value_or(std::vector<double>{ 0.5 }).at(0);
AgcConstraint constraint = { bound, qLo, qHi, yTarget };
if (!constraintModes_.count(id))
constraintModes_[id] = {};
if (idx)
constraintModes_[id].push_back(constraint);
else
constraintModes_[id].insert(constraintModes_[id].begin(), constraint);
}
}
int AgcMeanLuminance::parseConstraintModes(const YamlObject &tuningData)
{
std::vector<ControlValue> availableConstraintModes;
const YamlObject &yamlConstraintModes = tuningData[controls::AeConstraintMode.name()];
if (yamlConstraintModes.isDictionary()) {
for (const auto &[modeName, modeDict] : yamlConstraintModes.asDict()) {
if (AeConstraintModeNameValueMap.find(modeName) ==
AeConstraintModeNameValueMap.end()) {
LOG(AgcMeanLuminance, Warning)
<< "Skipping unknown constraint mode '" << modeName << "'";
continue;
}
if (!modeDict.isDictionary()) {
LOG(AgcMeanLuminance, Error)
<< "Invalid constraint mode '" << modeName << "'";
return -EINVAL;
}
parseConstraint(modeDict,
AeConstraintModeNameValueMap.at(modeName));
availableConstraintModes.push_back(
AeConstraintModeNameValueMap.at(modeName));
}
}
/*
* If the tuning data file contains no constraints then we use the
* default constraint that the IPU3/RkISP1 Agc algorithms were adhering
* to anyway before centralisation; this constraint forces the top 2% of
* the histogram to be at least 0.5.
*/
if (constraintModes_.empty()) {
AgcConstraint constraint = {
AgcConstraint::Bound::Lower,
0.98,
1.0,
0.5
};
constraintModes_[controls::ConstraintNormal].insert(
constraintModes_[controls::ConstraintNormal].begin(),
constraint);
availableConstraintModes.push_back(
AeConstraintModeNameValueMap.at("ConstraintNormal"));
}
controls_[&controls::AeConstraintMode] = ControlInfo(availableConstraintModes);
return 0;
}
int AgcMeanLuminance::parseExposureModes(const YamlObject &tuningData)
{
std::vector<ControlValue> availableExposureModes;
const YamlObject &yamlExposureModes = tuningData[controls::AeExposureMode.name()];
if (yamlExposureModes.isDictionary()) {
for (const auto &[modeName, modeValues] : yamlExposureModes.asDict()) {
if (AeExposureModeNameValueMap.find(modeName) ==
AeExposureModeNameValueMap.end()) {
LOG(AgcMeanLuminance, Warning)
<< "Skipping unknown exposure mode '" << modeName << "'";
continue;
}
if (!modeValues.isDictionary()) {
LOG(AgcMeanLuminance, Error)
<< "Invalid exposure mode '" << modeName << "'";
return -EINVAL;
}
std::vector<uint32_t> shutters =
modeValues["shutter"].getList<uint32_t>().value_or(std::vector<uint32_t>{});
std::vector<double> gains =
modeValues["gain"].getList<double>().value_or(std::vector<double>{});
if (shutters.size() != gains.size()) {
LOG(AgcMeanLuminance, Error)
<< "Shutter and gain array sizes unequal";
return -EINVAL;
}
if (shutters.empty()) {
LOG(AgcMeanLuminance, Error)
<< "Shutter and gain arrays are empty";
return -EINVAL;
}
std::vector<std::pair<utils::Duration, double>> stages;
for (unsigned int i = 0; i < shutters.size(); i++) {
stages.push_back({
std::chrono::microseconds(shutters[i]),
gains[i]
});
}
std::shared_ptr<ExposureModeHelper> helper =
std::make_shared<ExposureModeHelper>(stages);
exposureModeHelpers_[AeExposureModeNameValueMap.at(modeName)] = helper;
availableExposureModes.push_back(AeExposureModeNameValueMap.at(modeName));
}
}
/*
* If we don't have any exposure modes in the tuning data we create an
* ExposureModeHelper using an empty vector of stages. This will result
* in the ExposureModeHelper simply driving the shutter as high as
* possible before touching gain.
*/
if (availableExposureModes.empty()) {
int32_t exposureModeId = AeExposureModeNameValueMap.at("ExposureNormal");
std::vector<std::pair<utils::Duration, double>> stages = { };
std::shared_ptr<ExposureModeHelper> helper =
std::make_shared<ExposureModeHelper>(stages);
exposureModeHelpers_[exposureModeId] = helper;
availableExposureModes.push_back(exposureModeId);
}
controls_[&controls::AeExposureMode] = ControlInfo(availableExposureModes);
return 0;
}
/**
* \brief Parse tuning data for AeConstraintMode and AeExposureMode controls
* \param[in] tuningData the YamlObject representing the tuning data
*
* This function parses tuning data to build the list of allowed values for the
* AeConstraintMode and AeExposureMode controls. Those tuning data must provide
* the data in a specific format; the Agc algorithm's tuning data should contain
* a dictionary called AeConstraintMode containing per-mode setting dictionaries
* with the key being a value from \ref controls::AeConstraintModeNameValueMap.
* Each mode dict may contain either a "lower" or "upper" key or both, for
* example:
*
* \code{.unparsed}
* algorithms:
* - Agc:
* AeConstraintMode:
* ConstraintNormal:
* lower:
* qLo: 0.98
* qHi: 1.0
* yTarget: 0.5
* ConstraintHighlight:
* lower:
* qLo: 0.98
* qHi: 1.0
* yTarget: 0.5
* upper:
* qLo: 0.98
* qHi: 1.0
* yTarget: 0.8
*
* \endcode
*
* For the AeExposureMode control the data should contain a dictionary called
* AeExposureMode containing per-mode setting dictionaries with the key being a
* value from \ref controls::AeExposureModeNameValueMap. Each mode dict should
* contain an array of shutter times with the key "shutter" and an array of gain
* values with the key "gain", in this format:
*
* \code{.unparsed}
* algorithms:
* - Agc:
* AeExposureMode:
* ExposureNormal:
* shutter: [ 100, 10000, 30000, 60000, 120000 ]
* gain: [ 2.0, 4.0, 6.0, 8.0, 10.0 ]
* ExposureShort:
* shutter: [ 100, 10000, 30000, 60000, 120000 ]
* gain: [ 2.0, 4.0, 6.0, 8.0, 10.0 ]
*
* \endcode
*
* \return 0 on success or a negative error code
*/
int AgcMeanLuminance::parseTuningData(const YamlObject &tuningData)
{
int ret;
parseRelativeLuminanceTarget(tuningData);
ret = parseConstraintModes(tuningData);
if (ret)
return ret;
return parseExposureModes(tuningData);
}
/**
* \brief Set the ExposureModeHelper limits for this class
* \param[in] minShutter Minimum shutter time to allow
* \param[in] maxShutter Maximum shutter time to allow
* \param[in] minGain Minimum gain to allow
* \param[in] maxGain Maximum gain to allow
*
* This function calls \ref ExposureModeHelper::setLimits() for each
* ExposureModeHelper that has been created for this class.
*/
void AgcMeanLuminance::setLimits(utils::Duration minShutter,
utils::Duration maxShutter,
double minGain, double maxGain)
{
for (auto &[id, helper] : exposureModeHelpers_)
helper->setLimits(minShutter, maxShutter, minGain, maxGain);
}
/**
* \fn AgcMeanLuminance::constraintModes()
* \brief Get the constraint modes that have been parsed from tuning data
*/
/**
* \fn AgcMeanLuminance::exposureModeHelpers()
* \brief Get the ExposureModeHelpers that have been parsed from tuning data
*/
/**
* \fn AgcMeanLuminance::controls()
* \brief Get the controls that have been generated after parsing tuning data
*/
/**
* \fn AgcMeanLuminance::estimateLuminance(const double gain)
* \brief Estimate the luminance of an image, adjusted by a given gain
* \param[in] gain The gain with which to adjust the luminance estimate
*
* This function estimates the average relative luminance of the frame that
* would be output by the sensor if an additional \a gain was applied. It is a
* pure virtual function because estimation of luminance is a hardware-specific
* operation, which depends wholly on the format of the stats that are delivered
* to libcamera from the ISP. Derived classes must override this function with
* one that calculates the normalised mean luminance value across the entire
* image.
*
* \return The normalised relative luminance of the image
*/
/**
* \brief Estimate the initial gain needed to achieve a relative luminance
* target
* \return The calculated initial gain
*/
double AgcMeanLuminance::estimateInitialGain() const
{
double yTarget = relativeLuminanceTarget_;
double yGain = 1.0;
/*
* To account for non-linearity caused by saturation, the value needs to
* be estimated in an iterative process, as multiplying by a gain will
* not increase the relative luminance by the same factor if some image
* regions are saturated.
*/
for (unsigned int i = 0; i < 8; i++) {
double yValue = estimateLuminance(yGain);
double extra_gain = std::min(10.0, yTarget / (yValue + .001));
yGain *= extra_gain;
LOG(AgcMeanLuminance, Debug) << "Y value: " << yValue
<< ", Y target: " << yTarget
<< ", gives gain " << yGain;
if (utils::abs_diff(extra_gain, 1.0) < 0.01)
break;
}
return yGain;
}
/**
* \brief Clamp gain within the bounds of a defined constraint
* \param[in] constraintModeIndex The index of the constraint to adhere to
* \param[in] hist A histogram over which to calculate inter-quantile means
* \param[in] gain The gain to clamp
*
* \return The gain clamped within the constraint bounds
*/
double AgcMeanLuminance::constraintClampGain(uint32_t constraintModeIndex,
const Histogram &hist,
double gain)
{
std::vector<AgcConstraint> &constraints = constraintModes_[constraintModeIndex];
for (const AgcConstraint &constraint : constraints) {
double newGain = constraint.yTarget * hist.bins() /
hist.interQuantileMean(constraint.qLo, constraint.qHi);
if (constraint.bound == AgcConstraint::Bound::Lower &&
newGain > gain)
gain = newGain;
if (constraint.bound == AgcConstraint::Bound::Upper &&
newGain < gain)
gain = newGain;
}
return gain;
}
/**
* \brief Apply a filter on the exposure value to limit the speed of changes
* \param[in] exposureValue The target exposure from the AGC algorithm
*
* The speed of the filter is adaptive, and will produce the target quicker
* during startup, or when the target exposure is within 20% of the most recent
* filter output.
*
* \return The filtered exposure
*/
utils::Duration AgcMeanLuminance::filterExposure(utils::Duration exposureValue)
{
double speed = 0.2;
/* Adapt instantly if we are in startup phase. */
if (frameCount_ < kNumStartupFrames)
speed = 1.0;
/*
* If we are close to the desired result, go faster to avoid making
* multiple micro-adjustments.
* \todo Make this customisable?
*/
if (filteredExposure_ < 1.2 * exposureValue &&
filteredExposure_ > 0.8 * exposureValue)
speed = sqrt(speed);
filteredExposure_ = speed * exposureValue +
filteredExposure_ * (1.0 - speed);
return filteredExposure_;
}
/**
* \brief Calculate the new exposure value and splut it between shutter time and gain
* \param[in] constraintModeIndex The index of the current constraint mode
* \param[in] exposureModeIndex The index of the current exposure mode
* \param[in] yHist A Histogram from the ISP statistics to use in constraining
* the calculated gain
* \param[in] effectiveExposureValue The EV applied to the frame from which the
* statistics in use derive
*
* Calculate a new exposure value to try to obtain the target. The calculated
* exposure value is filtered to prevent rapid changes from frame to frame, and
* divided into shutter time, analogue and digital gain.
*
* \return Tuple of shutter time, analogue gain, and digital gain
*/
std::tuple<utils::Duration, double, double>
AgcMeanLuminance::calculateNewEv(uint32_t constraintModeIndex,
uint32_t exposureModeIndex,
const Histogram &yHist,
utils::Duration effectiveExposureValue)
{
/*
* The pipeline handler should validate that we have received an allowed
* value for AeExposureMode.
*/
std::shared_ptr<ExposureModeHelper> exposureModeHelper =
exposureModeHelpers_.at(exposureModeIndex);
double gain = estimateInitialGain();
gain = constraintClampGain(constraintModeIndex, yHist, gain);
/*
* We don't check whether we're already close to the target, because
* even if the effective exposure value is the same as the last frame's
* we could have switched to an exposure mode that would require a new
* pass through the splitExposure() function.
*/
utils::Duration newExposureValue = effectiveExposureValue * gain;
/*
* We filter the exposure value to make sure changes are not too jarring
* from frame to frame.
*/
newExposureValue = filterExposure(newExposureValue);
frameCount_++;
return exposureModeHelper->splitExposure(newExposureValue);
}
/**
* \fn AgcMeanLuminance::resetFrameCount()
* \brief Reset the frame counter
*
* This function resets the internal frame counter, which exists to help the
* algorithm decide whether it should respond instantly or not. The expectation
* is for derived classes to call this function before each camera start call in
* their configure() function.
*/
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/pwl.cpp | /* SPDX-License-Identifier: BSD-2-Clause */
/*
* Copyright (C) 2019, Raspberry Pi Ltd
* Copyright (C) 2024, Ideas on Board Oy
*
* Piecewise linear functions
*/
#include "pwl.h"
#include <assert.h>
#include <cmath>
#include <sstream>
#include <stdexcept>
/**
* \file pwl.h
* \brief Piecewise linear functions
*/
namespace libcamera {
namespace ipa {
/**
* \class Pwl
* \brief Describe a univariate piecewise linear function in two-dimensional
* real space
*
* A piecewise linear function is a univariate function that maps reals to
* reals, and it is composed of multiple straight-line segments.
*
* While a mathematical piecewise linear function would usually be defined by
* a list of linear functions and for which values of the domain they apply,
* this Pwl class is instead defined by a list of points at which these line
* segments intersect. These intersecting points are known as knots.
*
* https://en.wikipedia.org/wiki/Piecewise_linear_function
*
* A consequence of the Pwl class being defined by knots instead of linear
* functions is that the values of the piecewise linear function past the ends
* of the function are constants as opposed to linear functions. In a
* mathematical piecewise linear function that is defined by multiple linear
* functions, the ends of the function are also linear functions and hence grow
* to infinity (or negative infinity). However, since this Pwl class is defined
* by knots, the y-value of the leftmost and rightmost knots will hold for all
* x values to negative infinity and positive infinity, respectively.
*/
/**
* \typedef Pwl::Point
* \brief Describe a point in two-dimensional real space
*/
/**
* \class Pwl::Interval
* \brief Describe an interval in one-dimensional real space
*/
/**
* \fn Pwl::Interval::Interval(double _start, double _end)
* \brief Construct an interval
* \param[in] _start Start of the interval
* \param[in] _end End of the interval
*/
/**
* \fn Pwl::Interval::contains
* \brief Check if a given value falls within the interval
* \param[in] value Value to check
* \return True if the value falls within the interval, including its bounds,
* or false otherwise
*/
/**
* \fn Pwl::Interval::clamp
* \brief Clamp a value such that it is within the interval
* \param[in] value Value to clamp
* \return The clamped value
*/
/**
* \fn Pwl::Interval::length
* \brief Compute the length of the interval
* \return The length of the interval
*/
/**
* \var Pwl::Interval::start
* \brief Start of the interval
*/
/**
* \var Pwl::Interval::end
* \brief End of the interval
*/
/**
* \brief Construct an empty piecewise linear function
*/
Pwl::Pwl()
{
}
/**
* \brief Construct a piecewise linear function from a list of 2D points
* \param[in] points Vector of points from which to construct the piecewise
* linear function
*
* \a points must be in ascending order of x-value.
*/
Pwl::Pwl(const std::vector<Point> &points)
: points_(points)
{
}
/**
* \copydoc Pwl::Pwl(const std::vector<Point> &points)
*
* The contents of the \a points vector is moved to the newly constructed Pwl
* instance.
*/
Pwl::Pwl(std::vector<Point> &&points)
: points_(std::move(points))
{
}
/**
* \brief Append a point to the end of the piecewise linear function
* \param[in] x x-coordinate of the point to add to the piecewise linear function
* \param[in] y y-coordinate of the point to add to the piecewise linear function
* \param[in] eps Epsilon for the minimum x distance between points (optional)
*
* The point's x-coordinate must be greater than the x-coordinate of the last
* (= greatest) point already in the piecewise linear function.
*/
void Pwl::append(double x, double y, const double eps)
{
if (points_.empty() || points_.back().x() + eps < x)
points_.push_back(Point({ x, y }));
}
/**
* \brief Prepend a point to the beginning of the piecewise linear function
* \param[in] x x-coordinate of the point to add to the piecewise linear function
* \param[in] y y-coordinate of the point to add to the piecewise linear function
* \param[in] eps Epsilon for the minimum x distance between points (optional)
*
* The point's x-coordinate must be less than the x-coordinate of the first
* (= smallest) point already in the piecewise linear function.
*/
void Pwl::prepend(double x, double y, const double eps)
{
if (points_.empty() || points_.front().x() - eps > x)
points_.insert(points_.begin(), Point({ x, y }));
}
/**
* \fn Pwl::empty() const
* \brief Check if the piecewise linear function is empty
* \return True if there are no points in the function, false otherwise
*/
/**
* \fn Pwl::size() const
* \brief Retrieve the number of points in the piecewise linear function
* \return The number of points in the piecewise linear function
*/
/**
* \brief Get the domain of the piecewise linear function
* \return An interval representing the domain
*/
Pwl::Interval Pwl::domain() const
{
return Interval(points_[0].x(), points_[points_.size() - 1].x());
}
/**
* \brief Get the range of the piecewise linear function
* \return An interval representing the range
*/
Pwl::Interval Pwl::range() const
{
double lo = points_[0].y(), hi = lo;
for (auto &p : points_)
lo = std::min(lo, p.y()), hi = std::max(hi, p.y());
return Interval(lo, hi);
}
/**
* \brief Evaluate the piecewise linear function
* \param[in] x The x value to input into the function
* \param[inout] span Initial guess for span
* \param[in] updateSpan Set to true to update span
*
* Evaluate Pwl, optionally supplying an initial guess for the
* "span". The "span" may be optionally be updated. If you want to know
* the "span" value but don't have an initial guess you can set it to
* -1.
*
* \return The result of evaluating the piecewise linear function at position \a x
*/
double Pwl::eval(double x, int *span, bool updateSpan) const
{
int index = findSpan(x, span && *span != -1
? *span
: points_.size() / 2 - 1);
if (span && updateSpan)
*span = index;
return points_[index].y() +
(x - points_[index].x()) * (points_[index + 1].y() - points_[index].y()) /
(points_[index + 1].x() - points_[index].x());
}
int Pwl::findSpan(double x, int span) const
{
/*
* Pwls are generally small, so linear search may well be faster than
* binary, though could review this if large Pwls start turning up.
*/
int lastSpan = points_.size() - 2;
/*
* some algorithms may call us with span pointing directly at the last
* control point
*/
span = std::max(0, std::min(lastSpan, span));
while (span < lastSpan && x >= points_[span + 1].x())
span++;
while (span && x < points_[span].x())
span--;
return span;
}
/**
* \brief Compute the inverse function
* \param[in] eps Epsilon for the minimum x distance between points (optional)
*
* The output includes whether the resulting inverse function is a proper
* (true) inverse, or only a best effort (e.g. input was non-monotonic).
*
* \return A pair of the inverse piecewise linear function, and whether or not
* the result is a proper/true inverse
*/
std::pair<Pwl, bool> Pwl::inverse(const double eps) const
{
bool appended = false, prepended = false, neither = false;
Pwl inverse;
for (Point const &p : points_) {
if (inverse.empty()) {
inverse.append(p.y(), p.x(), eps);
} else if (std::abs(inverse.points_.back().x() - p.y()) <= eps ||
std::abs(inverse.points_.front().x() - p.y()) <= eps) {
/* do nothing */;
} else if (p.y() > inverse.points_.back().x()) {
inverse.append(p.y(), p.x(), eps);
appended = true;
} else if (p.y() < inverse.points_.front().x()) {
inverse.prepend(p.y(), p.x(), eps);
prepended = true;
} else {
neither = true;
}
}
/*
* This is not a proper inverse if we found ourselves putting points
* onto both ends of the inverse, or if there were points that couldn't
* go on either.
*/
bool trueInverse = !(neither || (appended && prepended));
return { inverse, trueInverse };
}
/**
* \brief Compose two piecewise linear functions together
* \param[in] other The "other" piecewise linear function
* \param[in] eps Epsilon for the minimum x distance between points (optional)
*
* The "this" function is done first, and "other" after.
*
* \return The composed piecewise linear function
*/
Pwl Pwl::compose(Pwl const &other, const double eps) const
{
double thisX = points_[0].x(), thisY = points_[0].y();
int thisSpan = 0, otherSpan = other.findSpan(thisY, 0);
Pwl result({ Point({ thisX, other.eval(thisY, &otherSpan, false) }) });
while (thisSpan != (int)points_.size() - 1) {
double dx = points_[thisSpan + 1].x() - points_[thisSpan].x(),
dy = points_[thisSpan + 1].y() - points_[thisSpan].y();
if (std::abs(dy) > eps &&
otherSpan + 1 < (int)other.points_.size() &&
points_[thisSpan + 1].y() >= other.points_[otherSpan + 1].x() + eps) {
/*
* next control point in result will be where this
* function's y reaches the next span in other
*/
thisX = points_[thisSpan].x() +
(other.points_[otherSpan + 1].x() -
points_[thisSpan].y()) *
dx / dy;
thisY = other.points_[++otherSpan].x();
} else if (std::abs(dy) > eps && otherSpan > 0 &&
points_[thisSpan + 1].y() <=
other.points_[otherSpan - 1].x() - eps) {
/*
* next control point in result will be where this
* function's y reaches the previous span in other
*/
thisX = points_[thisSpan].x() +
(other.points_[otherSpan + 1].x() -
points_[thisSpan].y()) *
dx / dy;
thisY = other.points_[--otherSpan].x();
} else {
/* we stay in the same span in other */
thisSpan++;
thisX = points_[thisSpan].x(),
thisY = points_[thisSpan].y();
}
result.append(thisX, other.eval(thisY, &otherSpan, false),
eps);
}
return result;
}
/**
* \brief Apply function to (x, y) values at every control point
* \param[in] f Function to be applied
*/
void Pwl::map(std::function<void(double x, double y)> f) const
{
for (auto &pt : points_)
f(pt.x(), pt.y());
}
/**
* \brief Apply function to (x, y0, y1) values wherever either Pwl has a
* control point.
* \param[in] pwl0 First piecewise linear function
* \param[in] pwl1 Second piecewise linear function
* \param[in] f Function to be applied
*
* This applies the function \a f to every parameter (x, y0, y1), where x is
* the combined list of x-values from \a pwl0 and \a pwl1, y0 is the y-value
* for the given x in \a pwl0, and y1 is the y-value for the same x in \a pwl1.
*/
void Pwl::map2(Pwl const &pwl0, Pwl const &pwl1,
std::function<void(double x, double y0, double y1)> f)
{
int span0 = 0, span1 = 0;
double x = std::min(pwl0.points_[0].x(), pwl1.points_[0].x());
f(x, pwl0.eval(x, &span0, false), pwl1.eval(x, &span1, false));
while (span0 < (int)pwl0.points_.size() - 1 ||
span1 < (int)pwl1.points_.size() - 1) {
if (span0 == (int)pwl0.points_.size() - 1)
x = pwl1.points_[++span1].x();
else if (span1 == (int)pwl1.points_.size() - 1)
x = pwl0.points_[++span0].x();
else if (pwl0.points_[span0 + 1].x() > pwl1.points_[span1 + 1].x())
x = pwl1.points_[++span1].x();
else
x = pwl0.points_[++span0].x();
f(x, pwl0.eval(x, &span0, false), pwl1.eval(x, &span1, false));
}
}
/**
* \brief Combine two Pwls
* \param[in] pwl0 First piecewise linear function
* \param[in] pwl1 Second piecewise linear function
* \param[in] f Function to be applied
* \param[in] eps Epsilon for the minimum x distance between points (optional)
*
* Create a new Pwl where the y values are given by running \a f wherever
* either pwl has a knot.
*
* \return The combined pwl
*/
Pwl Pwl::combine(Pwl const &pwl0, Pwl const &pwl1,
std::function<double(double x, double y0, double y1)> f,
const double eps)
{
Pwl result;
map2(pwl0, pwl1, [&](double x, double y0, double y1) {
result.append(x, f(x, y0, y1), eps);
});
return result;
}
/**
* \brief Multiply the piecewise linear function
* \param[in] d Scalar multiplier to multiply the function by
* \return This function, after it has been multiplied by \a d
*/
Pwl &Pwl::operator*=(double d)
{
for (auto &pt : points_)
pt[1] *= d;
return *this;
}
/**
* \brief Assemble and return a string describing the piecewise linear function
* \return A string describing the piecewise linear function
*/
std::string Pwl::toString() const
{
std::stringstream ss;
ss << "Pwl { ";
for (auto &p : points_)
ss << "(" << p.x() << ", " << p.y() << ") ";
ss << "}";
return ss.str();
}
} /* namespace ipa */
#ifndef __DOXYGEN__
/*
* The YAML data shall be a list of numerical values with an even number of
* elements. They are parsed in pairs into x and y points in the piecewise
* linear function, and added in order. x must be monotonically increasing.
*/
template<>
std::optional<ipa::Pwl>
YamlObject::Getter<ipa::Pwl>::get(const YamlObject &obj) const
{
if (!obj.size() || obj.size() % 2)
return std::nullopt;
ipa::Pwl pwl;
const auto &list = obj.asList();
for (auto it = list.begin(); it != list.end(); it++) {
auto x = it->get<double>();
if (!x)
return std::nullopt;
auto y = (++it)->get<double>();
if (!y)
return std::nullopt;
pwl.append(*x, *y);
}
if (pwl.size() != obj.size() / 2)
return std::nullopt;
return pwl;
}
#endif /* __DOXYGEN__ */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/algorithm.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Ideas On Board
*
* IPA control algorithm interface
*/
#include "algorithm.h"
/**
* \file algorithm.h
* \brief Algorithm common interface
*/
namespace libcamera {
namespace ipa {
/**
* \class Algorithm
* \brief The base class for all IPA algorithms
* \tparam Module The IPA module type for this class of algorithms
*
* The Algorithm class defines a standard interface for IPA algorithms
* compatible with the \a Module. By abstracting algorithms, it makes possible
* the implementation of generic code to manage algorithms regardless of their
* specific type.
*
* To specialize the Algorithm class template, an IPA module shall specialize
* the Module class template with module-specific context and configuration
* types, and pass the specialized Module class as the \a Module template
* argument.
*/
/**
* \typedef Algorithm::Module
* \brief The IPA module type for this class of algorithms
*/
/**
* \fn Algorithm::init()
* \brief Initialize the Algorithm with tuning data
* \param[in] context The shared IPA context
* \param[in] tuningData The tuning data for the algorithm
*
* This function is called once, when the IPA module is initialized, to
* initialize the algorithm. The \a tuningData YamlObject contains the tuning
* data for algorithm.
*
* \return 0 if successful, an error code otherwise
*/
/**
* \fn Algorithm::configure()
* \brief Configure the Algorithm given an IPAConfigInfo
* \param[in] context The shared IPA context
* \param[in] configInfo The IPA configuration data, received from the pipeline
* handler
*
* Algorithms may implement a configure operation to pre-calculate
* parameters prior to commencing streaming.
*
* Configuration state may be stored in the IPASessionConfiguration structure of
* the IPAContext.
*
* \return 0 if successful, an error code otherwise
*/
/**
* \fn Algorithm::queueRequest()
* \brief Provide control values to the algorithm
* \param[in] context The shared IPA context
* \param[in] frame The frame number to apply the control values
* \param[in] frameContext The current frame's context
* \param[in] controls The list of user controls
*
* This function is called for each request queued to the camera. It provides
* the controls stored in the request to the algorithm. The \a frame number
* is the Request sequence number and identifies the desired corresponding
* frame to target for the controls to take effect.
*
* Algorithms shall read the applicable controls and store their value for later
* use during frame processing.
*/
/**
* \fn Algorithm::prepare()
* \brief Fill the \a params buffer with ISP processing parameters for a frame
* \param[in] context The shared IPA context
* \param[in] frame The frame context sequence number
* \param[in] frameContext The FrameContext for this frame
* \param[out] params The ISP specific parameters
*
* This function is called for every frame when the camera is running before it
* is processed by the ISP to prepare the ISP processing parameters for that
* frame.
*
* Algorithms shall fill in the parameter structure fields appropriately to
* configure the ISP processing blocks that they are responsible for. This
* includes setting fields and flags that enable those processing blocks.
*/
/**
* \fn Algorithm::process()
* \brief Process ISP statistics, and run algorithm operations
* \param[in] context The shared IPA context
* \param[in] frame The frame context sequence number
* \param[in] frameContext The current frame's context
* \param[in] stats The IPA statistics and ISP results
* \param[out] metadata Metadata for the frame, to be filled by the algorithm
*
* This function is called while camera is running for every frame processed by
* the ISP, to process statistics generated from that frame by the ISP.
* Algorithms shall use this data to run calculations, update their state
* accordingly, and fill the frame metadata.
*
* Processing shall not take an undue amount of time, and any extended or
* computationally expensive calculations or operations must be handled
* asynchronously in a separate thread.
*
* Algorithms can store state in their respective IPAFrameContext structures,
* and reference state from the IPAFrameContext of other algorithms.
*
* \todo Historical data may be required as part of the processing.
* Either the previous frame, or the IPAFrameContext state of the frame
* that generated the statistics for this operation may be required for
* some advanced algorithms to prevent oscillations or support control
* loops correctly. Only a single IPAFrameContext is available currently,
* and so any data stored may represent the results of the previously
* completed operations.
*
* Care shall be taken to ensure the ordering of access to the information
* such that the algorithms use up to date state as required.
*/
/**
* \class AlgorithmFactory
* \brief Registration of Algorithm classes and creation of instances
* \tparam _Algorithm The algorithm class type for this factory
*
* To facilitate instantiation of Algorithm classes, the AlgorithmFactory class
* implements auto-registration of algorithms with the IPA Module class. Each
* Algorithm subclass shall register itself using the REGISTER_IPA_ALGORITHM()
* macro, which will create a corresponding instance of an AlgorithmFactory and
* register it with the IPA Module.
*/
/**
* \fn AlgorithmFactory::AlgorithmFactory()
* \brief Construct an algorithm factory
* \param[in] name Name of the algorithm class
*
* Creating an instance of the factory automatically registers is with the IPA
* Module class, enabling creation of algorithm instances through
* Module::createAlgorithm().
*
* The factory \a name identifies the algorithm and shall be unique.
*/
/**
* \fn AlgorithmFactory::create()
* \brief Create an instance of the Algorithm corresponding to the factory
* \return A pointer to a newly constructed instance of the Algorithm subclass
* corresponding to the factory
*/
/**
* \def REGISTER_IPA_ALGORITHM
* \brief Register an algorithm with the IPA module
* \param[in] algorithm Class name of Algorithm derived class to register
* \param[in] name Name of the algorithm
*
* Register an Algorithm subclass with the IPA module to make it available for
* instantiation through Module::createAlgorithm(). The \a name identifies the
* algorithm and must be unique across all algorithms registered for the IPA
* module.
*/
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/matrix.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024, Paul Elder <[email protected]>
*
* Matrix and related operations
*/
#pragma once
#include <algorithm>
#include <cmath>
#include <sstream>
#include <vector>
#include <libcamera/base/log.h>
#include <libcamera/base/span.h>
#include "libcamera/internal/yaml_parser.h"
namespace libcamera {
LOG_DECLARE_CATEGORY(Matrix)
namespace ipa {
#ifndef __DOXYGEN__
template<typename T, unsigned int Rows, unsigned int Cols,
std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr>
#else
template<typename T, unsigned int Rows, unsigned int Cols>
#endif /* __DOXYGEN__ */
class Matrix
{
public:
Matrix()
{
data_.fill(static_cast<T>(0));
}
Matrix(const std::vector<T> &data)
{
std::copy(data.begin(), data.end(), data_.begin());
}
static Matrix identity()
{
Matrix ret;
for (size_t i = 0; i < std::min(Rows, Cols); i++)
ret[i][i] = static_cast<T>(1);
return ret;
}
~Matrix() = default;
const std::string toString() const
{
std::stringstream out;
out << "Matrix { ";
for (unsigned int i = 0; i < Rows; i++) {
out << "[ ";
for (unsigned int j = 0; j < Cols; j++) {
out << (*this)[i][j];
out << ((j + 1 < Cols) ? ", " : " ");
}
out << ((i + 1 < Rows) ? "], " : "]");
}
out << " }";
return out.str();
}
Span<const T, Cols> operator[](size_t i) const
{
return Span<const T, Cols>{ &data_.data()[i * Cols], Cols };
}
Span<T, Cols> operator[](size_t i)
{
return Span<T, Cols>{ &data_.data()[i * Cols], Cols };
}
#ifndef __DOXYGEN__
template<typename U, std::enable_if_t<std::is_arithmetic_v<U>>>
#else
template<typename U>
#endif /* __DOXYGEN__ */
Matrix<T, Rows, Cols> &operator*=(U d)
{
for (unsigned int i = 0; i < Rows * Cols; i++)
data_[i] *= d;
return *this;
}
private:
std::array<T, Rows * Cols> data_;
};
#ifndef __DOXYGEN__
template<typename T, typename U, unsigned int Rows, unsigned int Cols,
std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr>
#else
template<typename T, typename U, unsigned int Rows, unsigned int Cols>
#endif /* __DOXYGEN__ */
Matrix<U, Rows, Cols> operator*(T d, const Matrix<U, Rows, Cols> &m)
{
Matrix<U, Rows, Cols> result;
for (unsigned int i = 0; i < Rows; i++) {
for (unsigned int j = 0; j < Cols; j++)
result[i][j] = d * m[i][j];
}
return result;
}
#ifndef __DOXYGEN__
template<typename T, typename U, unsigned int Rows, unsigned int Cols,
std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr>
#else
template<typename T, typename U, unsigned int Rows, unsigned int Cols>
#endif /* __DOXYGEN__ */
Matrix<U, Rows, Cols> operator*(const Matrix<U, Rows, Cols> &m, T d)
{
return d * m;
}
#ifndef __DOXYGEN__
template<typename T,
unsigned int R1, unsigned int C1,
unsigned int R2, unsigned int C2,
std::enable_if_t<C1 == R2> * = nullptr>
#else
template<typename T, unsigned int R1, unsigned int C1, unsigned int R2, unsigned in C2>
#endif /* __DOXYGEN__ */
Matrix<T, R1, C2> operator*(const Matrix<T, R1, C1> &m1, const Matrix<T, R2, C2> &m2)
{
Matrix<T, R1, C2> result;
for (unsigned int i = 0; i < R1; i++) {
for (unsigned int j = 0; j < C2; j++) {
T sum = 0;
for (unsigned int k = 0; k < C1; k++)
sum += m1[i][k] * m2[k][j];
result[i][j] = sum;
}
}
return result;
}
template<typename T, unsigned int Rows, unsigned int Cols>
Matrix<T, Rows, Cols> operator+(const Matrix<T, Rows, Cols> &m1, const Matrix<T, Rows, Cols> &m2)
{
Matrix<T, Rows, Cols> result;
for (unsigned int i = 0; i < Rows; i++) {
for (unsigned int j = 0; j < Cols; j++)
result[i][j] = m1[i][j] + m2[i][j];
}
return result;
}
#ifndef __DOXYGEN__
bool matrixValidateYaml(const YamlObject &obj, unsigned int size);
#endif /* __DOXYGEN__ */
} /* namespace ipa */
#ifndef __DOXYGEN__
template<typename T, unsigned int Rows, unsigned int Cols>
std::ostream &operator<<(std::ostream &out, const ipa::Matrix<T, Rows, Cols> &m)
{
out << m.toString();
return out;
}
template<typename T, unsigned int Rows, unsigned int Cols>
struct YamlObject::Getter<ipa::Matrix<T, Rows, Cols>> {
std::optional<ipa::Matrix<T, Rows, Cols>> get(const YamlObject &obj) const
{
if (!ipa::matrixValidateYaml(obj, Rows * Cols))
return std::nullopt;
ipa::Matrix<T, Rows, Cols> matrix;
T *data = &matrix[0][0];
unsigned int i = 0;
for (const YamlObject &entry : obj.asList()) {
const auto value = entry.get<T>();
if (!value)
return std::nullopt;
data[i++] = *value;
}
return matrix;
}
};
#endif /* __DOXYGEN__ */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/matrix.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024, Paul Elder <[email protected]>
*
* Matrix and related operations
*/
#include "matrix.h"
#include <libcamera/base/log.h>
/**
* \file matrix.h
* \brief Matrix class
*/
namespace libcamera {
LOG_DEFINE_CATEGORY(Matrix)
namespace ipa {
/**
* \class Matrix
* \brief Matrix class
* \tparam T Type of numerical values to be stored in the matrix
* \tparam Rows Number of rows in the matrix
* \tparam Cols Number of columns in the matrix
*/
/**
* \fn Matrix::Matrix()
* \brief Construct a zero matrix
*/
/**
* \fn Matrix::Matrix(const std::vector<T> &data)
* \brief Construct a matrix from supplied data
* \param[in] data Data from which to construct a matrix
*
* \a data is a one-dimensional vector and will be turned into a matrix in
* row-major order. The size of \a data must be equal to the product of the
* number of rows and columns of the matrix (Rows x Cols).
*/
/**
* \fn Matrix::identity()
* \brief Construct an identity matrix
*/
/**
* \fn Matrix::toString()
* \brief Assemble and return a string describing the matrix
* \return A string describing the matrix
*/
/**
* \fn Span<const T, Cols> Matrix::operator[](size_t i) const
* \brief Index to a row in the matrix
* \param[in] i Index of row to retrieve
*
* This operator[] returns a Span, which can then be indexed into again with
* another operator[], allowing a convenient m[i][j] to access elements of the
* matrix. Note that the lifetime of the Span returned by this first-level
* operator[] is bound to that of the Matrix itself, so it is not recommended
* to save the Span that is the result of this operator[].
*
* \return Row \a i from the matrix, as a Span
*/
/**
* \fn Matrix::operator[](size_t i)
* \copydoc Matrix::operator[](size_t i) const
*/
/**
* \fn Matrix<T, Rows, Cols> &Matrix::operator*=(U d)
* \brief Multiply the matrix by a scalar in-place
* \tparam U Type of the numerical scalar value
* \param d The scalar multiplier
* \return Product of this matrix and scalar \a d
*/
/**
* \fn Matrix::Matrix<U, Rows, Cols> operator*(T d, const Matrix<U, Rows, Cols> &m)
* \brief Multiply the matrix by a scalar
* \tparam T Type of the numerical scalar value
* \tparam U Type of numerical values in the matrix
* \tparam Rows Number of rows in the matrix
* \tparam Cols Number of columns in the matrix
* \param d The scalar multiplier
* \param m The matrix
* \return Product of scalar \a d and matrix \a m
*/
/**
* \fn Matrix::Matrix<U, Rows, Cols> operator*(const Matrix<U, Rows, Cols> &m, T d)
* \copydoc operator*(T d, const Matrix<U, Rows, Cols> &m)
*/
/**
* \fn Matrix<T, R1, C2> operator*(const Matrix<T, R1, C1> &m1, const Matrix<T, R2, C2> &m2)
* \brief Matrix multiplication
* \tparam T Type of numerical values in the matrices
* \tparam R1 Number of rows in the first matrix
* \tparam C1 Number of columns in the first matrix
* \tparam R2 Number of rows in the second matrix
* \tparam C2 Number of columns in the second matrix
* \param m1 Multiplicand matrix
* \param m2 Multiplier matrix
* \return Matrix product of matrices \a m1 and \a m2
*/
/**
* \fn Matrix<T, Rows, Cols> operator+(const Matrix<T, Rows, Cols> &m1, const Matrix<T, Rows, Cols> &m2)
* \brief Matrix addition
* \tparam T Type of numerical values in the matrices
* \tparam Rows Number of rows in the matrices
* \tparam Cols Number of columns in the matrices
* \param m1 Summand matrix
* \param m2 Summand matrix
* \return Matrix sum of matrices \a m1 and \a m2
*/
#ifndef __DOXYGEN__
/*
* The YAML data shall be a list of numerical values. Its size shall be equal
* to the product of the number of rows and columns of the matrix (Rows x
* Cols). The values shall be stored in row-major order.
*/
bool matrixValidateYaml(const YamlObject &obj, unsigned int size)
{
if (!obj.isList())
return false;
if (obj.size() != size) {
LOG(Matrix, Error)
<< "Wrong number of values in matrix: expected "
<< size << ", got " << obj.size();
return false;
}
return true;
}
#endif /* __DOXYGEN__ */
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/fc_queue.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2022, Google Inc.
*
* IPA Frame context queue
*/
#include "fc_queue.h"
#include <libcamera/base/log.h>
namespace libcamera {
LOG_DEFINE_CATEGORY(FCQueue)
namespace ipa {
/**
* \file fc_queue.h
* \brief Queue of per-frame contexts
*/
/**
* \struct FrameContext
* \brief Context for a frame
*
* The frame context stores data specific to a single frame processed by the
* IPA module. Each frame processed by the IPA module has a context associated
* with it, accessible through the Frame Context Queue.
*
* Fields in the frame context should reflect values and controls associated
* with the specific frame as requested by the application, and as configured by
* the hardware. Fields can be read by algorithms to determine if they should
* update any specific action for this frame, and finally to update the metadata
* control lists when the frame is fully completed.
*
* \var FrameContext::frame
* \brief The frame number
*/
/**
* \class FCQueue
* \brief A support class for managing FrameContext instances in IPA modules
* \tparam FrameContext The IPA module-specific FrameContext derived class type
*
* Along with the Module and Algorithm classes, the frame context queue is a
* core component of the libipa infrastructure. It stores per-frame contexts
* used by the Algorithm operations. By centralizing the lifetime management of
* the contexts and implementing safeguards against underflows and overflows, it
* simplifies IPA modules and improves their reliability.
*
* The queue references frame contexts by a monotonically increasing sequence
* number. The FCQueue design assumes that this number matches both the sequence
* number of the corresponding frame, as generated by the camera sensor, and the
* sequence number of the request. This allows IPA modules to obtain the frame
* context from any location where a request or a frame is available.
*
* A frame context normally begins its lifetime when the corresponding request
* is queued, way before the frame is captured by the camera sensor. IPA modules
* allocate the context from the queue at that point, calling alloc() using the
* request number. The queue initializes the context, and the IPA module then
* populates it with data from the request. The context can be later retrieved
* with a call to get(), typically when the IPA module is requested to provide
* sensor or ISP parameters or receives statistics for a frame. The frame number
* is used at that point to identify the context.
*
* If an application fails to queue requests to the camera fast enough, frames
* may be produced by the camera sensor and processed by the IPA module without
* a corresponding request having been queued to the IPA module. This creates an
* underrun condition, where the IPA module will try to get a frame context that
* hasn't been allocated. In this case, the get() function will allocate and
* initialize a context for the frame, and log a message. Algorithms will not
* apply the controls associated with the late request, but should otherwise
* behave correctly.
*
* \todo Mark the frame context with a per-frame control error flag in case of
* underrun, and research how algorithms should handle this.
*
* At its core, the queue uses a circular buffer to avoid dynamic memory
* allocation at runtime. The buffer is pre-allocated with a maximum number of
* entries when the FCQueue instance is constructed. Entries are initialized on
* first use by alloc() or, in underrun conditions, get(). The queue is not
* allowed to overflow, which must be ensured by pipeline handlers never
* queuing more in-flight requests to the IPA module than the queue size. If an
* overflow condition is detected, the queue will log a fatal error.
*
* IPA module-specific frame context implementations shall inherit from the
* FrameContext base class to support the minimum required features for a
* FrameContext.
*/
/**
* \fn FCQueue::FCQueue(unsigned int size)
* \brief Construct a frame contexts queue of a specified size
* \param[in] size The number of contexts in the queue
*/
/**
* \fn FCQueue::clear()
* \brief Clear the contexts queue
*
* IPA modules must clear the frame context queue at the beginning of a new
* streaming session, in IPAModule::start().
*
* \todo Fix any issue this may cause with requests queued before the camera is
* started.
*/
/**
* \fn FCQueue::alloc(uint32_t frame)
* \brief Allocate and return a FrameContext for the \a frame
* \param[in] frame The frame context sequence number
*
* The first call to obtain a FrameContext from the FCQueue should be handled
* through this function. The FrameContext will be initialised, if not
* initialised already, and returned to the caller.
*
* If the FrameContext was already initialized for this \a frame, a warning will
* be reported and the previously initialized FrameContext is returned.
*
* Frame contexts are expected to be initialised when a Request is first passed
* to the IPA module in IPAModule::queueRequest().
*
* \return A reference to the FrameContext for sequence \a frame
*/
/**
* \fn FCQueue::get(uint32_t frame)
* \brief Obtain the FrameContext for the \a frame
* \param[in] frame The frame context sequence number
*
* If the FrameContext is not correctly initialised for the \a frame, it will be
* initialised.
*
* \return A reference to the FrameContext for sequence \a frame
*/
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/pwl.h | /* SPDX-License-Identifier: BSD-2-Clause */
/*
* Copyright (C) 2019, Raspberry Pi Ltd
*
* Piecewise linear functions interface
*/
#pragma once
#include <algorithm>
#include <cmath>
#include <functional>
#include <string>
#include <utility>
#include <vector>
#include "libcamera/internal/yaml_parser.h"
#include "vector.h"
namespace libcamera {
namespace ipa {
class Pwl
{
public:
using Point = Vector<double, 2>;
struct Interval {
Interval(double _start, double _end)
: start(_start), end(_end) {}
bool contains(double value)
{
return value >= start && value <= end;
}
double clamp(double value)
{
return std::clamp(value, start, end);
}
double length() const { return end - start; }
double start, end;
};
Pwl();
Pwl(const std::vector<Point> &points);
Pwl(std::vector<Point> &&points);
void append(double x, double y, double eps = 1e-6);
bool empty() const { return points_.empty(); }
size_t size() const { return points_.size(); }
Interval domain() const;
Interval range() const;
double eval(double x, int *span = nullptr,
bool updateSpan = true) const;
std::pair<Pwl, bool> inverse(double eps = 1e-6) const;
Pwl compose(const Pwl &other, double eps = 1e-6) const;
void map(std::function<void(double x, double y)> f) const;
static Pwl
combine(const Pwl &pwl0, const Pwl &pwl1,
std::function<double(double x, double y0, double y1)> f,
double eps = 1e-6);
Pwl &operator*=(double d);
std::string toString() const;
private:
static void map2(const Pwl &pwl0, const Pwl &pwl1,
std::function<void(double x, double y0, double y1)> f);
void prepend(double x, double y, double eps = 1e-6);
int findSpan(double x, int span) const;
std::vector<Point> points_;
};
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/camera_sensor_helper.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Google Inc.
*
* Helper class that performs sensor-specific
* parameter computations
*/
#include "camera_sensor_helper.h"
#include <cmath>
#include <libcamera/base/log.h>
/**
* \file camera_sensor_helper.h
* \brief Helper class that performs sensor-specific parameter computations
*
* Computation of sensor configuration parameters is a sensor specific
* operation. Each CameraHelper derived class computes the value of
* configuration parameters, for example the analogue gain value, using
* sensor-specific functions and constants.
*
* Every subclass of CameraSensorHelper shall be registered with libipa using
* the REGISTER_CAMERA_SENSOR_HELPER() macro.
*/
namespace libcamera {
LOG_DEFINE_CATEGORY(CameraSensorHelper)
namespace ipa {
/**
* \class CameraSensorHelper
* \brief Base class for computing sensor tuning parameters using
* sensor-specific constants
*
* Instances derived from CameraSensorHelper class are sensor-specific.
* Each supported sensor will have an associated base class defined.
*/
/**
* \brief Construct a CameraSensorHelper instance
*
* CameraSensorHelper derived class instances shall never be constructed
* manually but always through the CameraSensorHelperFactoryBase::create()
* function.
*/
/**
* \brief Compute gain code from the analogue gain absolute value
* \param[in] gain The real gain to pass
*
* This function aims to abstract the calculation of the gain letting the IPA
* use the real gain for its estimations.
*
* \return The gain code to pass to V4L2
*/
uint32_t CameraSensorHelper::gainCode(double gain) const
{
const AnalogueGainConstants &k = gainConstants_;
switch (gainType_) {
case AnalogueGainLinear:
ASSERT(k.linear.m0 == 0 || k.linear.m1 == 0);
return (k.linear.c0 - k.linear.c1 * gain) /
(k.linear.m1 * gain - k.linear.m0);
case AnalogueGainExponential:
ASSERT(k.exp.a != 0 && k.exp.m != 0);
return std::log2(gain / k.exp.a) / k.exp.m;
default:
ASSERT(false);
return 0;
}
}
/**
* \brief Compute the real gain from the V4L2 subdev control gain code
* \param[in] gainCode The V4L2 subdev control gain
*
* This function aims to abstract the calculation of the gain letting the IPA
* use the real gain for its estimations. It is the counterpart of the function
* CameraSensorHelper::gainCode.
*
* \return The real gain
*/
double CameraSensorHelper::gain(uint32_t gainCode) const
{
const AnalogueGainConstants &k = gainConstants_;
double gain = static_cast<double>(gainCode);
switch (gainType_) {
case AnalogueGainLinear:
ASSERT(k.linear.m0 == 0 || k.linear.m1 == 0);
return (k.linear.m0 * gain + k.linear.c0) /
(k.linear.m1 * gain + k.linear.c1);
case AnalogueGainExponential:
ASSERT(k.exp.a != 0 && k.exp.m != 0);
return k.exp.a * std::exp2(k.exp.m * gain);
default:
ASSERT(false);
return 0.0;
}
}
/**
* \enum CameraSensorHelper::AnalogueGainType
* \brief The gain calculation modes as defined by the MIPI CCS
*
* Describes the image sensor analogue gain capabilities.
* Two modes are possible, depending on the sensor: Linear and Exponential.
*/
/**
* \var CameraSensorHelper::AnalogueGainLinear
* \brief Gain is computed using linear gain estimation
*
* The relationship between the integer gain parameter and the resulting gain
* multiplier is given by the following equation:
*
* \f$gain=\frac{m0x+c0}{m1x+c1}\f$
*
* Where 'x' is the gain control parameter, and m0, m1, c0 and c1 are
* image-sensor-specific constants of the sensor.
* These constants are static parameters, and for any given image sensor either
* m0 or m1 shall be zero.
*
* The full Gain equation therefore reduces to either:
*
* \f$gain=\frac{c0}{m1x+c1}\f$ or \f$\frac{m0x+c0}{c1}\f$
*/
/**
* \var CameraSensorHelper::AnalogueGainExponential
* \brief Gain is expressed using an exponential model
*
* The relationship between the integer gain parameter and the resulting gain
* multiplier is given by the following equation:
*
* \f$gain = a \cdot 2^{m \cdot x}\f$
*
* Where 'x' is the gain control parameter, and 'a' and 'm' are image
* sensor-specific constants.
*
* This is a subset of the MIPI CCS exponential gain model with the linear
* factor 'a' being a constant, but with the exponent being configurable
* through the 'm' coefficient.
*
* When the gain is expressed in dB, 'a' is equal to 1 and 'm' to
* \f$log_{2}{10^{\frac{1}{20}}}\f$.
*/
/**
* \struct CameraSensorHelper::AnalogueGainLinearConstants
* \brief Analogue gain constants for the linear gain model
*
* \var CameraSensorHelper::AnalogueGainLinearConstants::m0
* \brief Constant used in the linear gain coding/decoding
*
* \note Either m0 or m1 shall be zero.
*
* \var CameraSensorHelper::AnalogueGainLinearConstants::c0
* \brief Constant used in the linear gain coding/decoding
*
* \var CameraSensorHelper::AnalogueGainLinearConstants::m1
* \brief Constant used in the linear gain coding/decoding
*
* \note Either m0 or m1 shall be zero.
*
* \var CameraSensorHelper::AnalogueGainLinearConstants::c1
* \brief Constant used in the linear gain coding/decoding
*/
/**
* \struct CameraSensorHelper::AnalogueGainExpConstants
* \brief Analogue gain constants for the exponential gain model
*
* \var CameraSensorHelper::AnalogueGainExpConstants::a
* \brief Constant used in the exponential gain coding/decoding
*
* \var CameraSensorHelper::AnalogueGainExpConstants::m
* \brief Constant used in the exponential gain coding/decoding
*/
/**
* \struct CameraSensorHelper::AnalogueGainConstants
* \brief Analogue gain model constants
*
* This union stores the constants used to calculate the analogue gain. The
* CameraSensorHelper::gainType_ variable selects which union member is valid.
*
* \var CameraSensorHelper::AnalogueGainConstants::linear
* \brief Constants for the linear gain model
*
* \var CameraSensorHelper::AnalogueGainConstants::exp
* \brief Constants for the exponential gain model
*/
/**
* \var CameraSensorHelper::gainType_
* \brief The analogue gain model type
*/
/**
* \var CameraSensorHelper::gainConstants_
* \brief The analogue gain parameters used for calculation
*
* The analogue gain is calculated through a formula, and its parameters are
* sensor specific. Use this variable to store the values at init time.
*/
/**
* \class CameraSensorHelperFactoryBase
* \brief Base class for camera sensor helper factories
*
* The CameraSensorHelperFactoryBase class is the base of all specializations of
* the CameraSensorHelperFactory class template. It implements the factory
* registration, maintains a registry of factories, and provides access to the
* registered factories.
*/
/**
* \brief Construct a camera sensor helper factory base
* \param[in] name Name of the camera sensor helper class
*
* Creating an instance of the factory base registers it with the global list of
* factories, accessible through the factories() function.
*
* The factory \a name is used to look up factories and shall be unique.
*/
CameraSensorHelperFactoryBase::CameraSensorHelperFactoryBase(const std::string name)
: name_(name)
{
registerType(this);
}
/**
* \brief Create an instance of the CameraSensorHelper corresponding to
* a named factory
* \param[in] name Name of the factory
*
* \return A unique pointer to a new instance of the CameraSensorHelper subclass
* corresponding to the named factory or a null pointer if no such factory
* exists
*/
std::unique_ptr<CameraSensorHelper> CameraSensorHelperFactoryBase::create(const std::string &name)
{
const std::vector<CameraSensorHelperFactoryBase *> &factories =
CameraSensorHelperFactoryBase::factories();
for (const CameraSensorHelperFactoryBase *factory : factories) {
if (name != factory->name_)
continue;
return factory->createInstance();
}
return nullptr;
}
/**
* \brief Add a camera sensor helper class to the registry
* \param[in] factory Factory to use to construct the camera sensor helper
*
* The caller is responsible to guarantee the uniqueness of the camera sensor
* helper name.
*/
void CameraSensorHelperFactoryBase::registerType(CameraSensorHelperFactoryBase *factory)
{
std::vector<CameraSensorHelperFactoryBase *> &factories =
CameraSensorHelperFactoryBase::factories();
factories.push_back(factory);
}
/**
* \brief Retrieve the list of all camera sensor helper factories
* \return The list of camera sensor helper factories
*/
std::vector<CameraSensorHelperFactoryBase *> &CameraSensorHelperFactoryBase::factories()
{
/*
* The static factories map is defined inside the function to ensure
* it gets initialized on first use, without any dependency on link
* order.
*/
static std::vector<CameraSensorHelperFactoryBase *> factories;
return factories;
}
/**
* \class CameraSensorHelperFactory
* \brief Registration of CameraSensorHelperFactory classes and creation of instances
* \tparam _Helper The camera sensor helper class type for this factory
*
* To facilitate discovery and instantiation of CameraSensorHelper classes, the
* CameraSensorHelperFactory class implements auto-registration of camera sensor
* helpers. Each CameraSensorHelper subclass shall register itself using the
* REGISTER_CAMERA_SENSOR_HELPER() macro, which will create a corresponding
* instance of a CameraSensorHelperFactory subclass and register it with the
* static list of factories.
*/
/**
* \fn CameraSensorHelperFactory::CameraSensorHelperFactory(const char *name)
* \brief Construct a camera sensor helper factory
* \param[in] name Name of the camera sensor helper class
*
* Creating an instance of the factory registers it with the global list of
* factories, accessible through the CameraSensorHelperFactoryBase::factories()
* function.
*
* The factory \a name is used to look up factories and shall be unique.
*/
/**
* \fn CameraSensorHelperFactory::createInstance() const
* \brief Create an instance of the CameraSensorHelper corresponding to the
* factory
*
* \return A unique pointer to a newly constructed instance of the
* CameraSensorHelper subclass corresponding to the factory
*/
/**
* \def REGISTER_CAMERA_SENSOR_HELPER
* \brief Register a camera sensor helper with the camera sensor helper factory
* \param[in] name Sensor model name used to register the class
* \param[in] helper Class name of CameraSensorHelper derived class to register
*
* Register a CameraSensorHelper subclass with the factory and make it available
* to try and match sensors.
*/
/* -----------------------------------------------------------------------------
* Sensor-specific subclasses
*/
#ifndef __DOXYGEN__
/*
* Helper function to compute the m parameter of the exponential gain model
* when the gain code is expressed in dB.
*/
static constexpr double expGainDb(double step)
{
constexpr double log2_10 = 3.321928094887362;
/*
* The gain code is expressed in step * dB (e.g. in 0.1 dB steps):
*
* G_code = G_dB/step = 20/step*log10(G_linear)
*
* Inverting the formula, we get
*
* G_linear = 10^(step/20*G_code) = 2^(log2(10)*step/20*G_code)
*/
return log2_10 * step / 20;
}
class CameraSensorHelperAr0521 : public CameraSensorHelper
{
public:
uint32_t gainCode(double gain) const override
{
gain = std::clamp(gain, 1.0, 15.5);
unsigned int coarse = std::log2(gain);
unsigned int fine = (gain / (1 << coarse) - 1) * kStep_;
return (coarse << 4) | (fine & 0xf);
}
double gain(uint32_t gainCode) const override
{
unsigned int coarse = gainCode >> 4;
unsigned int fine = gainCode & 0xf;
return (1 << coarse) * (1 + fine / kStep_);
}
private:
static constexpr double kStep_ = 16;
};
REGISTER_CAMERA_SENSOR_HELPER("ar0521", CameraSensorHelperAr0521)
class CameraSensorHelperImx219 : public CameraSensorHelper
{
public:
CameraSensorHelperImx219()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 0, 256, -1, 256 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("imx219", CameraSensorHelperImx219)
class CameraSensorHelperImx258 : public CameraSensorHelper
{
public:
CameraSensorHelperImx258()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 0, 512, -1, 512 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("imx258", CameraSensorHelperImx258)
class CameraSensorHelperImx283 : public CameraSensorHelper
{
public:
CameraSensorHelperImx283()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 0, 2048, -1, 2048 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("imx283", CameraSensorHelperImx283)
class CameraSensorHelperImx290 : public CameraSensorHelper
{
public:
CameraSensorHelperImx290()
{
gainType_ = AnalogueGainExponential;
gainConstants_.exp = { 1.0, expGainDb(0.3) };
}
};
REGISTER_CAMERA_SENSOR_HELPER("imx290", CameraSensorHelperImx290)
class CameraSensorHelperImx296 : public CameraSensorHelper
{
public:
CameraSensorHelperImx296()
{
gainType_ = AnalogueGainExponential;
gainConstants_.exp = { 1.0, expGainDb(0.1) };
}
};
REGISTER_CAMERA_SENSOR_HELPER("imx296", CameraSensorHelperImx296)
class CameraSensorHelperImx327 : public CameraSensorHelperImx290
{
};
REGISTER_CAMERA_SENSOR_HELPER("imx327", CameraSensorHelperImx327)
class CameraSensorHelperImx335 : public CameraSensorHelper
{
public:
CameraSensorHelperImx335()
{
gainType_ = AnalogueGainExponential;
gainConstants_.exp = { 1.0, expGainDb(0.3) };
}
};
REGISTER_CAMERA_SENSOR_HELPER("imx335", CameraSensorHelperImx335)
class CameraSensorHelperImx415 : public CameraSensorHelper
{
public:
CameraSensorHelperImx415()
{
gainType_ = AnalogueGainExponential;
gainConstants_.exp = { 1.0, expGainDb(0.3) };
}
};
REGISTER_CAMERA_SENSOR_HELPER("imx415", CameraSensorHelperImx415)
class CameraSensorHelperImx477 : public CameraSensorHelper
{
public:
CameraSensorHelperImx477()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 0, 1024, -1, 1024 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("imx477", CameraSensorHelperImx477)
class CameraSensorHelperOv2685 : public CameraSensorHelper
{
public:
CameraSensorHelperOv2685()
{
/*
* The Sensor Manual doesn't appear to document the gain model.
* This has been validated with some empirical testing only.
*/
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 1, 0, 0, 128 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov2685", CameraSensorHelperOv2685)
class CameraSensorHelperOv2740 : public CameraSensorHelper
{
public:
CameraSensorHelperOv2740()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 1, 0, 0, 128 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov2740", CameraSensorHelperOv2740)
class CameraSensorHelperOv4689 : public CameraSensorHelper
{
public:
CameraSensorHelperOv4689()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 1, 0, 0, 128 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov4689", CameraSensorHelperOv4689)
class CameraSensorHelperOv5640 : public CameraSensorHelper
{
public:
CameraSensorHelperOv5640()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 1, 0, 0, 16 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov5640", CameraSensorHelperOv5640)
class CameraSensorHelperOv5647 : public CameraSensorHelper
{
public:
CameraSensorHelperOv5647()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 1, 0, 0, 16 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov5647", CameraSensorHelperOv5647)
class CameraSensorHelperOv5670 : public CameraSensorHelper
{
public:
CameraSensorHelperOv5670()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 1, 0, 0, 128 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov5670", CameraSensorHelperOv5670)
class CameraSensorHelperOv5675 : public CameraSensorHelper
{
public:
CameraSensorHelperOv5675()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 1, 0, 0, 128 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov5675", CameraSensorHelperOv5675)
class CameraSensorHelperOv5693 : public CameraSensorHelper
{
public:
CameraSensorHelperOv5693()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 1, 0, 0, 16 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov5693", CameraSensorHelperOv5693)
class CameraSensorHelperOv64a40 : public CameraSensorHelper
{
public:
CameraSensorHelperOv64a40()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 1, 0, 0, 128 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov64a40", CameraSensorHelperOv64a40)
class CameraSensorHelperOv8858 : public CameraSensorHelper
{
public:
CameraSensorHelperOv8858()
{
gainType_ = AnalogueGainLinear;
/*
* \todo Validate the selected 1/128 step value as it differs
* from what the sensor manual describes.
*
* See: https://patchwork.linuxtv.org/project/linux-media/patch/[email protected]/#142267
*/
gainConstants_.linear = { 1, 0, 0, 128 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov8858", CameraSensorHelperOv8858)
class CameraSensorHelperOv8865 : public CameraSensorHelper
{
public:
CameraSensorHelperOv8865()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 1, 0, 0, 128 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov8865", CameraSensorHelperOv8865)
class CameraSensorHelperOv13858 : public CameraSensorHelper
{
public:
CameraSensorHelperOv13858()
{
gainType_ = AnalogueGainLinear;
gainConstants_.linear = { 1, 0, 0, 128 };
}
};
REGISTER_CAMERA_SENSOR_HELPER("ov13858", CameraSensorHelperOv13858)
#endif /* __DOXYGEN__ */
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/camera_sensor_helper.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021, Google Inc.
*
* Helper class that performs sensor-specific parameter computations
*/
#pragma once
#include <stdint.h>
#include <memory>
#include <string>
#include <vector>
#include <libcamera/base/class.h>
namespace libcamera {
namespace ipa {
class CameraSensorHelper
{
public:
CameraSensorHelper() = default;
virtual ~CameraSensorHelper() = default;
virtual uint32_t gainCode(double gain) const;
virtual double gain(uint32_t gainCode) const;
protected:
enum AnalogueGainType {
AnalogueGainLinear,
AnalogueGainExponential,
};
struct AnalogueGainLinearConstants {
int16_t m0;
int16_t c0;
int16_t m1;
int16_t c1;
};
struct AnalogueGainExpConstants {
double a;
double m;
};
union AnalogueGainConstants {
AnalogueGainLinearConstants linear;
AnalogueGainExpConstants exp;
};
AnalogueGainType gainType_;
AnalogueGainConstants gainConstants_;
private:
LIBCAMERA_DISABLE_COPY_AND_MOVE(CameraSensorHelper)
};
class CameraSensorHelperFactoryBase
{
public:
CameraSensorHelperFactoryBase(const std::string name);
virtual ~CameraSensorHelperFactoryBase() = default;
static std::unique_ptr<CameraSensorHelper> create(const std::string &name);
static std::vector<CameraSensorHelperFactoryBase *> &factories();
private:
LIBCAMERA_DISABLE_COPY_AND_MOVE(CameraSensorHelperFactoryBase)
static void registerType(CameraSensorHelperFactoryBase *factory);
virtual std::unique_ptr<CameraSensorHelper> createInstance() const = 0;
std::string name_;
};
template<typename _Helper>
class CameraSensorHelperFactory final : public CameraSensorHelperFactoryBase
{
public:
CameraSensorHelperFactory(const char *name)
: CameraSensorHelperFactoryBase(name)
{
}
private:
std::unique_ptr<CameraSensorHelper> createInstance() const override
{
return std::make_unique<_Helper>();
}
};
#define REGISTER_CAMERA_SENSOR_HELPER(name, helper) \
static CameraSensorHelperFactory<helper> global_##helper##Factory(name);
} /* namespace ipa */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/libipa/vector.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024, Paul Elder <[email protected]>
*
* Vector and related operations
*/
#pragma once
#include <algorithm>
#include <array>
#include <cmath>
#include <sstream>
#include <libcamera/base/log.h>
#include <libcamera/base/span.h>
#include "libcamera/internal/yaml_parser.h"
#include "matrix.h"
namespace libcamera {
LOG_DECLARE_CATEGORY(Vector)
namespace ipa {
#ifndef __DOXYGEN__
template<typename T, unsigned int Rows,
std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr>
#else
template<typename T, unsigned int Rows>
#endif /* __DOXYGEN__ */
class Vector
{
public:
constexpr Vector() = default;
constexpr Vector(const std::array<T, Rows> &data)
{
for (unsigned int i = 0; i < Rows; i++)
data_[i] = data[i];
}
const T &operator[](size_t i) const
{
ASSERT(i < data_.size());
return data_[i];
}
T &operator[](size_t i)
{
ASSERT(i < data_.size());
return data_[i];
}
#ifndef __DOXYGEN__
template<bool Dependent = false, typename = std::enable_if_t<Dependent || Rows >= 1>>
#endif /* __DOXYGEN__ */
constexpr T x() const
{
return data_[0];
}
#ifndef __DOXYGEN__
template<bool Dependent = false, typename = std::enable_if_t<Dependent || Rows >= 2>>
#endif /* __DOXYGEN__ */
constexpr T y() const
{
return data_[1];
}
#ifndef __DOXYGEN__
template<bool Dependent = false, typename = std::enable_if_t<Dependent || Rows >= 3>>
#endif /* __DOXYGEN__ */
constexpr T z() const
{
return data_[2];
}
constexpr Vector<T, Rows> operator-() const
{
Vector<T, Rows> ret;
for (unsigned int i = 0; i < Rows; i++)
ret[i] = -data_[i];
return ret;
}
constexpr Vector<T, Rows> operator-(const Vector<T, Rows> &other) const
{
Vector<T, Rows> ret;
for (unsigned int i = 0; i < Rows; i++)
ret[i] = data_[i] - other[i];
return ret;
}
constexpr Vector<T, Rows> operator+(const Vector<T, Rows> &other) const
{
Vector<T, Rows> ret;
for (unsigned int i = 0; i < Rows; i++)
ret[i] = data_[i] + other[i];
return ret;
}
constexpr T operator*(const Vector<T, Rows> &other) const
{
T ret = 0;
for (unsigned int i = 0; i < Rows; i++)
ret += data_[i] * other[i];
return ret;
}
constexpr Vector<T, Rows> operator*(T factor) const
{
Vector<T, Rows> ret;
for (unsigned int i = 0; i < Rows; i++)
ret[i] = data_[i] * factor;
return ret;
}
constexpr Vector<T, Rows> operator/(T factor) const
{
Vector<T, Rows> ret;
for (unsigned int i = 0; i < Rows; i++)
ret[i] = data_[i] / factor;
return ret;
}
constexpr double length2() const
{
double ret = 0;
for (unsigned int i = 0; i < Rows; i++)
ret += data_[i] * data_[i];
return ret;
}
constexpr double length() const
{
return std::sqrt(length2());
}
private:
std::array<T, Rows> data_;
};
template<typename T, unsigned int Rows, unsigned int Cols>
Vector<T, Rows> operator*(const Matrix<T, Rows, Cols> &m, const Vector<T, Cols> &v)
{
Vector<T, Rows> result;
for (unsigned int i = 0; i < Rows; i++) {
T sum = 0;
for (unsigned int j = 0; j < Cols; j++)
sum += m[i][j] * v[j];
result[i] = sum;
}
return result;
}
template<typename T, unsigned int Rows>
bool operator==(const Vector<T, Rows> &lhs, const Vector<T, Rows> &rhs)
{
for (unsigned int i = 0; i < Rows; i++) {
if (lhs[i] != rhs[i])
return false;
}
return true;
}
template<typename T, unsigned int Rows>
bool operator!=(const Vector<T, Rows> &lhs, const Vector<T, Rows> &rhs)
{
return !(lhs == rhs);
}
#ifndef __DOXYGEN__
bool vectorValidateYaml(const YamlObject &obj, unsigned int size);
#endif /* __DOXYGEN__ */
} /* namespace ipa */
#ifndef __DOXYGEN__
template<typename T, unsigned int Rows>
std::ostream &operator<<(std::ostream &out, const ipa::Vector<T, Rows> &v)
{
out << "Vector { ";
for (unsigned int i = 0; i < Rows; i++) {
out << v[i];
out << ((i + 1 < Rows) ? ", " : " ");
}
out << " }";
return out;
}
template<typename T, unsigned int Rows>
struct YamlObject::Getter<ipa::Vector<T, Rows>> {
std::optional<ipa::Vector<T, Rows>> get(const YamlObject &obj) const
{
if (!ipa::vectorValidateYaml(obj, Rows))
return std::nullopt;
ipa::Vector<T, Rows> vector;
unsigned int i = 0;
for (const YamlObject &entry : obj.asList()) {
const auto value = entry.get<T>();
if (!value)
return std::nullopt;
vector[i++] = *value;
}
return vector;
}
};
#endif /* __DOXYGEN__ */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/rkisp1/ipa_context.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021-2022, Ideas On Board
*
* RkISP1 IPA Context
*
*/
#pragma once
#include <linux/rkisp1-config.h>
#include <libcamera/base/utils.h>
#include <libcamera/control_ids.h>
#include <libcamera/controls.h>
#include <libcamera/geometry.h>
#include <libipa/fc_queue.h>
#include <libipa/matrix.h>
namespace libcamera {
namespace ipa::rkisp1 {
struct IPAHwSettings {
unsigned int numAeCells;
unsigned int numHistogramBins;
unsigned int numHistogramWeights;
unsigned int numGammaOutSamples;
};
struct IPASessionConfiguration {
struct {
struct rkisp1_cif_isp_window measureWindow;
} agc;
struct {
struct rkisp1_cif_isp_window measureWindow;
bool enabled;
} awb;
struct {
bool enabled;
} lsc;
struct {
utils::Duration minShutterSpeed;
utils::Duration maxShutterSpeed;
double minAnalogueGain;
double maxAnalogueGain;
int32_t defVBlank;
utils::Duration lineDuration;
Size size;
} sensor;
bool raw;
};
struct IPAActiveState {
struct {
struct {
uint32_t exposure;
double gain;
} manual;
struct {
uint32_t exposure;
double gain;
} automatic;
bool autoEnabled;
controls::AeConstraintModeEnum constraintMode;
controls::AeExposureModeEnum exposureMode;
controls::AeMeteringModeEnum meteringMode;
utils::Duration maxFrameDuration;
} agc;
struct {
struct {
struct {
double red;
double green;
double blue;
} manual;
struct {
double red;
double green;
double blue;
} automatic;
} gains;
unsigned int temperatureK;
bool autoEnabled;
} awb;
struct {
int8_t brightness;
uint8_t contrast;
uint8_t saturation;
} cproc;
struct {
bool denoise;
} dpf;
struct {
uint8_t denoise;
uint8_t sharpness;
} filter;
struct {
double gamma;
} goc;
};
struct IPAFrameContext : public FrameContext {
struct {
uint32_t exposure;
double gain;
bool autoEnabled;
controls::AeConstraintModeEnum constraintMode;
controls::AeExposureModeEnum exposureMode;
controls::AeMeteringModeEnum meteringMode;
utils::Duration maxFrameDuration;
bool updateMetering;
} agc;
struct {
struct {
double red;
double green;
double blue;
} gains;
unsigned int temperatureK;
bool autoEnabled;
} awb;
struct {
int8_t brightness;
uint8_t contrast;
uint8_t saturation;
bool update;
} cproc;
struct {
bool denoise;
bool update;
} dpf;
struct {
uint8_t denoise;
uint8_t sharpness;
bool update;
} filter;
struct {
double gamma;
bool update;
} goc;
struct {
uint32_t exposure;
double gain;
} sensor;
struct {
Matrix<float, 3, 3> ccm;
} ccm;
};
struct IPAContext {
const IPAHwSettings *hw;
IPASessionConfiguration configuration;
IPAActiveState activeState;
FCQueue<IPAFrameContext> frameContexts;
ControlInfoMap::Map ctrlMap;
};
} /* namespace ipa::rkisp1 */
} /* namespace libcamera*/
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/rkisp1/utils.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024, Paul Elder <[email protected]>
*
* Miscellaneous utility functions specific to rkisp1
*/
#include "utils.h"
/**
* \file utils.h
*/
namespace libcamera {
namespace ipa::rkisp1::utils {
/**
* \fn R floatingToFixedPoint(T number)
* \brief Convert a floating point number to a fixed-point representation
* \tparam I Bit width of the integer part of the fixed-point
* \tparam F Bit width of the fractional part of the fixed-point
* \tparam R Return type of the fixed-point representation
* \tparam T Input type of the floating point representation
* \param number The floating point number to convert to fixed point
* \return The converted value
*/
/**
* \fn R fixedToFloatingPoint(T number)
* \brief Convert a fixed-point number to a floating point representation
* \tparam I Bit width of the integer part of the fixed-point
* \tparam F Bit width of the fractional part of the fixed-point
* \tparam R Return type of the floating point representation
* \tparam T Input type of the fixed-point representation
* \param number The fixed point number to convert to floating point
* \return The converted value
*/
} /* namespace ipa::rkisp1::utils */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/rkisp1/utils.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2024, Paul Elder <[email protected]>
*
* Miscellaneous utility functions specific to rkisp1
*/
#pragma once
#include <cmath>
#include <limits>
#include <type_traits>
namespace libcamera {
namespace ipa::rkisp1::utils {
#ifndef __DOXYGEN__
template<unsigned int I, unsigned int F, typename R, typename T,
std::enable_if_t<std::is_integral_v<R> &&
std::is_floating_point_v<T>> * = nullptr>
#else
template<unsigned int I, unsigned int F, typename R, typename T>
#endif
constexpr R floatingToFixedPoint(T number)
{
static_assert(sizeof(int) >= sizeof(R));
static_assert(I + F <= sizeof(R) * 8);
/*
* The intermediate cast to int is needed on arm platforms to properly
* cast negative values. See
* https://embeddeduse.com/2013/08/25/casting-a-negative-float-to-an-unsigned-int/
*/
R mask = (1 << (F + I)) - 1;
R frac = static_cast<R>(static_cast<int>(std::round(number * (1 << F)))) & mask;
return frac;
}
#ifndef __DOXYGEN__
template<unsigned int I, unsigned int F, typename R, typename T,
std::enable_if_t<std::is_floating_point_v<R> &&
std::is_integral_v<T>> * = nullptr>
#else
template<unsigned int I, unsigned int F, typename R, typename T>
#endif
constexpr R fixedToFloatingPoint(T number)
{
static_assert(sizeof(int) >= sizeof(T));
static_assert(I + F <= sizeof(T) * 8);
/*
* Recreate the upper bits in case of a negative number by shifting the sign
* bit from the fixed point to the first bit of the unsigned and then right shifting
* by the same amount which keeps the sign bit in place.
* This can be optimized by the compiler quite well.
*/
int remaining_bits = sizeof(int) * 8 - (I + F);
int t = static_cast<int>(static_cast<unsigned>(number) << remaining_bits) >> remaining_bits;
return static_cast<R>(t) / static_cast<R>(1 << F);
}
} /* namespace ipa::rkisp1::utils */
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/rkisp1/module.h | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2022, Ideas On Board
*
* RkISP1 IPA Module
*/
#pragma once
#include <linux/rkisp1-config.h>
#include <libcamera/ipa/rkisp1_ipa_interface.h>
#include <libipa/module.h>
#include "ipa_context.h"
namespace libcamera {
namespace ipa::rkisp1 {
using Module = ipa::Module<IPAContext, IPAFrameContext, IPACameraSensorInfo,
rkisp1_params_cfg, rkisp1_stat_buffer>;
} /* namespace ipa::rkisp1 */
} /* namespace libcamera*/
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/rkisp1/ipa_context.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2021-2022, Ideas On Board
*
* RkISP1 IPA Context
*/
#include "ipa_context.h"
/**
* \file ipa_context.h
* \brief Context and state information shared between the algorithms
*/
namespace libcamera::ipa::rkisp1 {
/**
* \struct IPAHwSettings
* \brief RkISP1 version-specific hardware parameters
*/
/**
* \var IPAHwSettings::numAeCells
* \brief Number of cells in the AE exposure means grid
*
* \var IPAHwSettings::numHistogramBins
* \brief Number of bins in the histogram
*
* \var IPAHwSettings::numHistogramWeights
* \brief Number of weights in the histogram grid
*
* \var IPAHwSettings::numGammaOutSamples
* \brief Number of samples in the gamma out table
*/
/**
* \struct IPASessionConfiguration
* \brief Session configuration for the IPA module
*
* The session configuration contains all IPA configuration parameters that
* remain constant during the capture session, from IPA module start to stop.
* It is typically set during the configure() operation of the IPA module, but
* may also be updated in the start() operation.
*/
/**
* \var IPASessionConfiguration::agc
* \brief AGC parameters configuration of the IPA
*
* \var IPASessionConfiguration::agc.measureWindow
* \brief AGC measure window
*/
/**
* \var IPASessionConfiguration::awb
* \brief AWB parameters configuration of the IPA
*
* \var IPASessionConfiguration::awb.measureWindow
* \brief AWB measure window
*
* \var IPASessionConfiguration::awb.enabled
* \brief Indicates if the AWB hardware is enabled and applies colour gains
*
* The AWB module of the ISP applies colour gains and computes statistics. It is
* enabled when the AWB algorithm is loaded, regardless of whether the algorithm
* operates in manual or automatic mode.
*/
/**
* \var IPASessionConfiguration::lsc
* \brief Lens Shading Correction configuration of the IPA
*
* \var IPASessionConfiguration::lsc.enabled
* \brief Indicates if the LSC hardware is enabled
*/
/**
* \var IPASessionConfiguration::sensor
* \brief Sensor-specific configuration of the IPA
*
* \var IPASessionConfiguration::sensor.minShutterSpeed
* \brief Minimum shutter speed supported with the sensor
*
* \var IPASessionConfiguration::sensor.maxShutterSpeed
* \brief Maximum shutter speed supported with the sensor
*
* \var IPASessionConfiguration::sensor.minAnalogueGain
* \brief Minimum analogue gain supported with the sensor
*
* \var IPASessionConfiguration::sensor.maxAnalogueGain
* \brief Maximum analogue gain supported with the sensor
*
* \var IPASessionConfiguration::sensor.defVBlank
* \brief The default vblank value of the sensor
*
* \var IPASessionConfiguration::sensor.lineDuration
* \brief Line duration in microseconds
*
* \var IPASessionConfiguration::sensor.size
* \brief Sensor output resolution
*/
/**
* \var IPASessionConfiguration::raw
* \brief Indicates if the camera is configured to capture raw frames
*/
/**
* \struct IPAActiveState
* \brief Active state for algorithms
*
* The active state contains all algorithm-specific data that needs to be
* maintained by algorithms across frames. Unlike the session configuration,
* the active state is mutable and constantly updated by algorithms. The active
* state is accessible through the IPAContext structure.
*
* The active state stores two distinct categories of information:
*
* - The consolidated value of all algorithm controls. Requests passed to
* the queueRequest() function store values for controls that the
* application wants to modify for that particular frame, and the
* queueRequest() function updates the active state with those values.
* The active state thus contains a consolidated view of the value of all
* controls handled by the algorithm.
*
* - The value of parameters computed by the algorithm when running in auto
* mode. Algorithms running in auto mode compute new parameters every
* time statistics buffers are received (either synchronously, or
* possibly in a background thread). The latest computed value of those
* parameters is stored in the active state in the process() function.
*
* Each of the members in the active state belongs to a specific algorithm. A
* member may be read by any algorithm, but shall only be written by its owner.
*/
/**
* \var IPAActiveState::agc
* \brief State for the Automatic Gain Control algorithm
*
* The \a automatic variables track the latest values computed by algorithm
* based on the latest processed statistics. All other variables track the
* consolidated controls requested in queued requests.
*
* \struct IPAActiveState::agc.manual
* \brief Manual exposure time and analog gain (set through requests)
*
* \var IPAActiveState::agc.manual.exposure
* \brief Manual exposure time expressed as a number of lines as set by the
* ExposureTime control
*
* \var IPAActiveState::agc.manual.gain
* \brief Manual analogue gain as set by the AnalogueGain control
*
* \struct IPAActiveState::agc.automatic
* \brief Automatic exposure time and analog gain (computed by the algorithm)
*
* \var IPAActiveState::agc.automatic.exposure
* \brief Automatic exposure time expressed as a number of lines
*
* \var IPAActiveState::agc.automatic.gain
* \brief Automatic analogue gain multiplier
*
* \var IPAActiveState::agc.autoEnabled
* \brief Manual/automatic AGC state as set by the AeEnable control
*
* \var IPAActiveState::agc.constraintMode
* \brief Constraint mode as set by the AeConstraintMode control
*
* \var IPAActiveState::agc.exposureMode
* \brief Exposure mode as set by the AeExposureMode control
*
* \var IPAActiveState::agc.meteringMode
* \brief Metering mode as set by the AeMeteringMode control
*
* \var IPAActiveState::agc.maxFrameDuration
* \brief Maximum frame duration as set by the FrameDurationLimits control
*/
/**
* \var IPAActiveState::awb
* \brief State for the Automatic White Balance algorithm
*
* \struct IPAActiveState::awb.gains
* \brief White balance gains
*
* \struct IPAActiveState::awb.gains.manual
* \brief Manual white balance gains (set through requests)
*
* \var IPAActiveState::awb.gains.manual.red
* \brief Manual white balance gain for R channel
*
* \var IPAActiveState::awb.gains.manual.green
* \brief Manual white balance gain for G channel
*
* \var IPAActiveState::awb.gains.manual.blue
* \brief Manual white balance gain for B channel
*
* \struct IPAActiveState::awb.gains.automatic
* \brief Automatic white balance gains (computed by the algorithm)
*
* \var IPAActiveState::awb.gains.automatic.red
* \brief Automatic white balance gain for R channel
*
* \var IPAActiveState::awb.gains.automatic.green
* \brief Automatic white balance gain for G channel
*
* \var IPAActiveState::awb.gains.automatic.blue
* \brief Automatic white balance gain for B channel
*
* \var IPAActiveState::awb.temperatureK
* \brief Estimated color temperature
*
* \var IPAActiveState::awb.autoEnabled
* \brief Whether the Auto White Balance algorithm is enabled
*/
/**
* \var IPAActiveState::cproc
* \brief State for the Color Processing algorithm
*
* \struct IPAActiveState::cproc.brightness
* \brief Brightness level
*
* \var IPAActiveState::cproc.contrast
* \brief Contrast level
*
* \var IPAActiveState::cproc.saturation
* \brief Saturation level
*/
/**
* \var IPAActiveState::dpf
* \brief State for the Denoise Pre-Filter algorithm
*
* \var IPAActiveState::dpf.denoise
* \brief Indicates if denoise is activated
*/
/**
* \var IPAActiveState::filter
* \brief State for the Filter algorithm
*
* \struct IPAActiveState::filter.denoise
* \brief Denoising level
*
* \var IPAActiveState::filter.sharpness
* \brief Sharpness level
*/
/**
* \var IPAActiveState::goc
* \brief State for the goc algorithm
*
* \var IPAActiveState::goc.gamma
* \brief Gamma value applied as 1.0/gamma
*/
/**
* \struct IPAFrameContext
* \brief Per-frame context for algorithms
*
* The frame context stores two distinct categories of information:
*
* - The value of the controls to be applied to the frame. These values are
* typically set in the queueRequest() function, from the consolidated
* control values stored in the active state. The frame context thus stores
* values for all controls related to the algorithm, not limited to the
* controls specified in the corresponding request, but consolidated from all
* requests that have been queued so far.
*
* For controls that can be set manually or computed by an algorithm
* (depending on the algorithm operation mode), such as for instance the
* colour gains for the AWB algorithm, the control value will be stored in
* the frame context in the queueRequest() function only when operating in
* manual mode. When operating in auto mode, the values are computed by the
* algorithm in process(), stored in the active state, and copied to the
* frame context in prepare(), just before being stored in the ISP parameters
* buffer.
*
* The queueRequest() function can also store ancillary data in the frame
* context, such as flags to indicate if (and what) control values have
* changed compared to the previous request.
*
* - Status information computed by the algorithm for a frame. For instance,
* the colour temperature estimated by the AWB algorithm from ISP statistics
* calculated on a frame is stored in the frame context for that frame in
* the process() function.
*/
/**
* \var IPAFrameContext::agc
* \brief Automatic Gain Control parameters for this frame
*
* The exposure and gain are provided by the AGC algorithm, and are to be
* applied to the sensor in order to take effect for this frame.
*
* \var IPAFrameContext::agc.exposure
* \brief Exposure time expressed as a number of lines computed by the algorithm
*
* \var IPAFrameContext::agc.gain
* \brief Analogue gain multiplier computed by the algorithm
*
* The gain should be adapted to the sensor specific gain code before applying.
*
* \var IPAFrameContext::agc.autoEnabled
* \brief Manual/automatic AGC state as set by the AeEnable control
*
* \var IPAFrameContext::agc.constraintMode
* \brief Constraint mode as set by the AeConstraintMode control
*
* \var IPAFrameContext::agc.exposureMode
* \brief Exposure mode as set by the AeExposureMode control
*
* \var IPAFrameContext::agc.meteringMode
* \brief Metering mode as set by the AeMeteringMode control
*
* \var IPAFrameContext::agc.maxFrameDuration
* \brief Maximum frame duration as set by the FrameDurationLimits control
*
* \var IPAFrameContext::agc.updateMetering
* \brief Indicate if new ISP AGC metering parameters need to be applied
*/
/**
* \var IPAFrameContext::awb
* \brief Automatic White Balance parameters for this frame
*
* \struct IPAFrameContext::awb.gains
* \brief White balance gains
*
* \var IPAFrameContext::awb.gains.red
* \brief White balance gain for R channel
*
* \var IPAFrameContext::awb.gains.green
* \brief White balance gain for G channel
*
* \var IPAFrameContext::awb.gains.blue
* \brief White balance gain for B channel
*
* \var IPAFrameContext::awb.temperatureK
* \brief Estimated color temperature
*
* \var IPAFrameContext::awb.autoEnabled
* \brief Whether the Auto White Balance algorithm is enabled
*/
/**
* \var IPAFrameContext::cproc
* \brief Color Processing parameters for this frame
*
* \struct IPAFrameContext::cproc.brightness
* \brief Brightness level
*
* \var IPAFrameContext::cproc.contrast
* \brief Contrast level
*
* \var IPAFrameContext::cproc.saturation
* \brief Saturation level
*
* \var IPAFrameContext::cproc.update
* \brief Indicates if the color processing parameters have been updated
* compared to the previous frame
*/
/**
* \var IPAFrameContext::dpf
* \brief Denoise Pre-Filter parameters for this frame
*
* \var IPAFrameContext::dpf.denoise
* \brief Indicates if denoise is activated
*
* \var IPAFrameContext::dpf.update
* \brief Indicates if the denoise pre-filter parameters have been updated
* compared to the previous frame
*/
/**
* \var IPAFrameContext::filter
* \brief Filter parameters for this frame
*
* \struct IPAFrameContext::filter.denoise
* \brief Denoising level
*
* \var IPAFrameContext::filter.sharpness
* \brief Sharpness level
*
* \var IPAFrameContext::filter.updateParams
* \brief Indicates if the filter parameters have been updated compared to the
* previous frame
*/
/**
* \var IPAFrameContext::goc
* \brief Gamma out correction parameters for this frame
*
* \var IPAFrameContext::goc.gamma
* \brief Gamma value applied as 1.0/gamma
*
* \var IPAFrameContext::goc.update
* \brief Indicates if the goc parameters have been updated compared to the
* previous frame
*/
/**
* \var IPAFrameContext::sensor
* \brief Sensor configuration that used been used for this frame
*
* \var IPAFrameContext::sensor.exposure
* \brief Exposure time expressed as a number of lines
*
* \var IPAFrameContext::sensor.gain
* \brief Analogue gain multiplier
*/
/**
* \struct IPAContext
* \brief Global IPA context data shared between all algorithms
*
* \var IPAContext::hw
* \brief RkISP1 version-specific hardware parameters
*
* \var IPAContext::configuration
* \brief The IPA session configuration, immutable during the session
*
* \var IPAContext::activeState
* \brief The IPA active state, storing the latest state for all algorithms
*
* \var IPAContext::frameContexts
* \brief Ring buffer of per-frame contexts
*/
} /* namespace libcamera::ipa::rkisp1 */
|
0 | repos/libcamera/src/ipa | repos/libcamera/src/ipa/rkisp1/rkisp1.cpp | /* SPDX-License-Identifier: LGPL-2.1-or-later */
/*
* Copyright (C) 2019, Google Inc.
*
* RkISP1 Image Processing Algorithms
*/
#include <algorithm>
#include <math.h>
#include <queue>
#include <stdint.h>
#include <string.h>
#include <linux/rkisp1-config.h>
#include <linux/v4l2-controls.h>
#include <libcamera/base/file.h>
#include <libcamera/base/log.h>
#include <libcamera/control_ids.h>
#include <libcamera/framebuffer.h>
#include <libcamera/ipa/ipa_interface.h>
#include <libcamera/ipa/ipa_module_info.h>
#include <libcamera/ipa/rkisp1_ipa_interface.h>
#include <libcamera/request.h>
#include "libcamera/internal/formats.h"
#include "libcamera/internal/mapped_framebuffer.h"
#include "libcamera/internal/yaml_parser.h"
#include "algorithms/algorithm.h"
#include "libipa/camera_sensor_helper.h"
#include "ipa_context.h"
namespace libcamera {
LOG_DEFINE_CATEGORY(IPARkISP1)
using namespace std::literals::chrono_literals;
namespace ipa::rkisp1 {
/* Maximum number of frame contexts to be held */
static constexpr uint32_t kMaxFrameContexts = 16;
class IPARkISP1 : public IPARkISP1Interface, public Module
{
public:
IPARkISP1();
int init(const IPASettings &settings, unsigned int hwRevision,
const IPACameraSensorInfo &sensorInfo,
const ControlInfoMap &sensorControls,
ControlInfoMap *ipaControls) override;
int start() override;
void stop() override;
int configure(const IPAConfigInfo &ipaConfig,
const std::map<uint32_t, IPAStream> &streamConfig,
ControlInfoMap *ipaControls) override;
void mapBuffers(const std::vector<IPABuffer> &buffers) override;
void unmapBuffers(const std::vector<unsigned int> &ids) override;
void queueRequest(const uint32_t frame, const ControlList &controls) override;
void fillParamsBuffer(const uint32_t frame, const uint32_t bufferId) override;
void processStatsBuffer(const uint32_t frame, const uint32_t bufferId,
const ControlList &sensorControls) override;
protected:
std::string logPrefix() const override;
private:
void updateControls(const IPACameraSensorInfo &sensorInfo,
const ControlInfoMap &sensorControls,
ControlInfoMap *ipaControls);
void setControls(unsigned int frame);
std::map<unsigned int, FrameBuffer> buffers_;
std::map<unsigned int, MappedFrameBuffer> mappedBuffers_;
ControlInfoMap sensorControls_;
/* Interface to the Camera Helper */
std::unique_ptr<CameraSensorHelper> camHelper_;
/* Local parameter storage */
struct IPAContext context_;
};
namespace {
const IPAHwSettings ipaHwSettingsV10{
RKISP1_CIF_ISP_AE_MEAN_MAX_V10,
RKISP1_CIF_ISP_HIST_BIN_N_MAX_V10,
RKISP1_CIF_ISP_HISTOGRAM_WEIGHT_GRIDS_SIZE_V10,
RKISP1_CIF_ISP_GAMMA_OUT_MAX_SAMPLES_V10,
};
const IPAHwSettings ipaHwSettingsV12{
RKISP1_CIF_ISP_AE_MEAN_MAX_V12,
RKISP1_CIF_ISP_HIST_BIN_N_MAX_V12,
RKISP1_CIF_ISP_HISTOGRAM_WEIGHT_GRIDS_SIZE_V12,
RKISP1_CIF_ISP_GAMMA_OUT_MAX_SAMPLES_V12,
};
/* List of controls handled by the RkISP1 IPA */
const ControlInfoMap::Map rkisp1Controls{
{ &controls::AwbEnable, ControlInfo(false, true) },
{ &controls::ColourGains, ControlInfo(0.0f, 3.996f, 1.0f) },
{ &controls::Sharpness, ControlInfo(0.0f, 10.0f, 1.0f) },
{ &controls::draft::NoiseReductionMode, ControlInfo(controls::draft::NoiseReductionModeValues) },
};
} /* namespace */
IPARkISP1::IPARkISP1()
: context_({ {}, {}, {}, { kMaxFrameContexts }, {} })
{
}
std::string IPARkISP1::logPrefix() const
{
return "rkisp1";
}
int IPARkISP1::init(const IPASettings &settings, unsigned int hwRevision,
const IPACameraSensorInfo &sensorInfo,
const ControlInfoMap &sensorControls,
ControlInfoMap *ipaControls)
{
/* \todo Add support for other revisions */
switch (hwRevision) {
case RKISP1_V10:
case RKISP1_V_IMX8MP:
context_.hw = &ipaHwSettingsV10;
break;
case RKISP1_V12:
context_.hw = &ipaHwSettingsV12;
break;
default:
LOG(IPARkISP1, Error)
<< "Hardware revision " << hwRevision
<< " is currently not supported";
return -ENODEV;
}
LOG(IPARkISP1, Debug) << "Hardware revision is " << hwRevision;
camHelper_ = CameraSensorHelperFactoryBase::create(settings.sensorModel);
if (!camHelper_) {
LOG(IPARkISP1, Error)
<< "Failed to create camera sensor helper for "
<< settings.sensorModel;
return -ENODEV;
}
context_.configuration.sensor.lineDuration = sensorInfo.minLineLength
* 1.0s / sensorInfo.pixelRate;
/* Load the tuning data file. */
File file(settings.configurationFile);
if (!file.open(File::OpenModeFlag::ReadOnly)) {
int ret = file.error();
LOG(IPARkISP1, Error)
<< "Failed to open configuration file "
<< settings.configurationFile << ": " << strerror(-ret);
return ret;
}
std::unique_ptr<libcamera::YamlObject> data = YamlParser::parse(file);
if (!data)
return -EINVAL;
unsigned int version = (*data)["version"].get<uint32_t>(0);
if (version != 1) {
LOG(IPARkISP1, Error)
<< "Invalid tuning file version " << version;
return -EINVAL;
}
if (!data->contains("algorithms")) {
LOG(IPARkISP1, Error)
<< "Tuning file doesn't contain any algorithm";
return -EINVAL;
}
int ret = createAlgorithms(context_, (*data)["algorithms"]);
if (ret)
return ret;
/* Initialize controls. */
updateControls(sensorInfo, sensorControls, ipaControls);
return 0;
}
int IPARkISP1::start()
{
setControls(0);
return 0;
}
void IPARkISP1::stop()
{
context_.frameContexts.clear();
}
int IPARkISP1::configure(const IPAConfigInfo &ipaConfig,
const std::map<uint32_t, IPAStream> &streamConfig,
ControlInfoMap *ipaControls)
{
sensorControls_ = ipaConfig.sensorControls;
const auto itExp = sensorControls_.find(V4L2_CID_EXPOSURE);
int32_t minExposure = itExp->second.min().get<int32_t>();
int32_t maxExposure = itExp->second.max().get<int32_t>();
const auto itGain = sensorControls_.find(V4L2_CID_ANALOGUE_GAIN);
int32_t minGain = itGain->second.min().get<int32_t>();
int32_t maxGain = itGain->second.max().get<int32_t>();
LOG(IPARkISP1, Debug)
<< "Exposure: [" << minExposure << ", " << maxExposure
<< "], gain: [" << minGain << ", " << maxGain << "]";
/* Clear the IPA context before the streaming session. */
context_.configuration = {};
context_.activeState = {};
context_.frameContexts.clear();
const IPACameraSensorInfo &info = ipaConfig.sensorInfo;
const ControlInfo vBlank = sensorControls_.find(V4L2_CID_VBLANK)->second;
context_.configuration.sensor.defVBlank = vBlank.def().get<int32_t>();
context_.configuration.sensor.size = info.outputSize;
context_.configuration.sensor.lineDuration = info.minLineLength * 1.0s / info.pixelRate;
/* Update the camera controls using the new sensor settings. */
updateControls(info, sensorControls_, ipaControls);
/*
* When the AGC computes the new exposure values for a frame, it needs
* to know the limits for shutter speed and analogue gain.
* As it depends on the sensor, update it with the controls.
*
* \todo take VBLANK into account for maximum shutter speed
*/
context_.configuration.sensor.minShutterSpeed =
minExposure * context_.configuration.sensor.lineDuration;
context_.configuration.sensor.maxShutterSpeed =
maxExposure * context_.configuration.sensor.lineDuration;
context_.configuration.sensor.minAnalogueGain = camHelper_->gain(minGain);
context_.configuration.sensor.maxAnalogueGain = camHelper_->gain(maxGain);
context_.configuration.raw = std::any_of(streamConfig.begin(), streamConfig.end(),
[](auto &cfg) -> bool {
PixelFormat pixelFormat{ cfg.second.pixelFormat };
const PixelFormatInfo &format = PixelFormatInfo::info(pixelFormat);
return format.colourEncoding == PixelFormatInfo::ColourEncodingRAW;
});
for (auto const &a : algorithms()) {
Algorithm *algo = static_cast<Algorithm *>(a.get());
/* Disable algorithms that don't support raw formats. */
algo->disabled_ = context_.configuration.raw && !algo->supportsRaw_;
if (algo->disabled_)
continue;
int ret = algo->configure(context_, info);
if (ret)
return ret;
}
return 0;
}
void IPARkISP1::mapBuffers(const std::vector<IPABuffer> &buffers)
{
for (const IPABuffer &buffer : buffers) {
auto elem = buffers_.emplace(std::piecewise_construct,
std::forward_as_tuple(buffer.id),
std::forward_as_tuple(buffer.planes));
const FrameBuffer &fb = elem.first->second;
MappedFrameBuffer mappedBuffer(&fb, MappedFrameBuffer::MapFlag::ReadWrite);
if (!mappedBuffer.isValid()) {
LOG(IPARkISP1, Fatal) << "Failed to mmap buffer: "
<< strerror(mappedBuffer.error());
}
mappedBuffers_.emplace(buffer.id, std::move(mappedBuffer));
}
}
void IPARkISP1::unmapBuffers(const std::vector<unsigned int> &ids)
{
for (unsigned int id : ids) {
const auto fb = buffers_.find(id);
if (fb == buffers_.end())
continue;
mappedBuffers_.erase(id);
buffers_.erase(id);
}
}
void IPARkISP1::queueRequest(const uint32_t frame, const ControlList &controls)
{
IPAFrameContext &frameContext = context_.frameContexts.alloc(frame);
for (auto const &a : algorithms()) {
Algorithm *algo = static_cast<Algorithm *>(a.get());
if (algo->disabled_)
continue;
algo->queueRequest(context_, frame, frameContext, controls);
}
}
void IPARkISP1::fillParamsBuffer(const uint32_t frame, const uint32_t bufferId)
{
IPAFrameContext &frameContext = context_.frameContexts.get(frame);
rkisp1_params_cfg *params =
reinterpret_cast<rkisp1_params_cfg *>(
mappedBuffers_.at(bufferId).planes()[0].data());
/* Prepare parameters buffer. */
memset(params, 0, sizeof(*params));
for (auto const &algo : algorithms())
algo->prepare(context_, frame, frameContext, params);
paramsBufferReady.emit(frame);
}
void IPARkISP1::processStatsBuffer(const uint32_t frame, const uint32_t bufferId,
const ControlList &sensorControls)
{
IPAFrameContext &frameContext = context_.frameContexts.get(frame);
/*
* In raw capture mode, the ISP is bypassed and no statistics buffer is
* provided.
*/
const rkisp1_stat_buffer *stats = nullptr;
if (!context_.configuration.raw)
stats = reinterpret_cast<rkisp1_stat_buffer *>(
mappedBuffers_.at(bufferId).planes()[0].data());
frameContext.sensor.exposure =
sensorControls.get(V4L2_CID_EXPOSURE).get<int32_t>();
frameContext.sensor.gain =
camHelper_->gain(sensorControls.get(V4L2_CID_ANALOGUE_GAIN).get<int32_t>());
ControlList metadata(controls::controls);
for (auto const &a : algorithms()) {
Algorithm *algo = static_cast<Algorithm *>(a.get());
if (algo->disabled_)
continue;
algo->process(context_, frame, frameContext, stats, metadata);
}
setControls(frame);
metadataReady.emit(frame, metadata);
}
void IPARkISP1::updateControls(const IPACameraSensorInfo &sensorInfo,
const ControlInfoMap &sensorControls,
ControlInfoMap *ipaControls)
{
ControlInfoMap::Map ctrlMap = rkisp1Controls;
/*
* Compute exposure time limits from the V4L2_CID_EXPOSURE control
* limits and the line duration.
*/
double lineDuration = context_.configuration.sensor.lineDuration.get<std::micro>();
const ControlInfo &v4l2Exposure = sensorControls.find(V4L2_CID_EXPOSURE)->second;
int32_t minExposure = v4l2Exposure.min().get<int32_t>() * lineDuration;
int32_t maxExposure = v4l2Exposure.max().get<int32_t>() * lineDuration;
int32_t defExposure = v4l2Exposure.def().get<int32_t>() * lineDuration;
ctrlMap.emplace(std::piecewise_construct,
std::forward_as_tuple(&controls::ExposureTime),
std::forward_as_tuple(minExposure, maxExposure, defExposure));
/* Compute the analogue gain limits. */
const ControlInfo &v4l2Gain = sensorControls.find(V4L2_CID_ANALOGUE_GAIN)->second;
float minGain = camHelper_->gain(v4l2Gain.min().get<int32_t>());
float maxGain = camHelper_->gain(v4l2Gain.max().get<int32_t>());
float defGain = camHelper_->gain(v4l2Gain.def().get<int32_t>());
ctrlMap.emplace(std::piecewise_construct,
std::forward_as_tuple(&controls::AnalogueGain),
std::forward_as_tuple(minGain, maxGain, defGain));
/*
* Compute the frame duration limits.
*
* The frame length is computed assuming a fixed line length combined
* with the vertical frame sizes.
*/
const ControlInfo &v4l2HBlank = sensorControls.find(V4L2_CID_HBLANK)->second;
uint32_t hblank = v4l2HBlank.def().get<int32_t>();
uint32_t lineLength = sensorInfo.outputSize.width + hblank;
const ControlInfo &v4l2VBlank = sensorControls.find(V4L2_CID_VBLANK)->second;
std::array<uint32_t, 3> frameHeights{
v4l2VBlank.min().get<int32_t>() + sensorInfo.outputSize.height,
v4l2VBlank.max().get<int32_t>() + sensorInfo.outputSize.height,
v4l2VBlank.def().get<int32_t>() + sensorInfo.outputSize.height,
};
std::array<int64_t, 3> frameDurations;
for (unsigned int i = 0; i < frameHeights.size(); ++i) {
uint64_t frameSize = lineLength * frameHeights[i];
frameDurations[i] = frameSize / (sensorInfo.pixelRate / 1000000U);
}
ctrlMap[&controls::FrameDurationLimits] = ControlInfo(frameDurations[0],
frameDurations[1],
frameDurations[2]);
ctrlMap.insert(context_.ctrlMap.begin(), context_.ctrlMap.end());
*ipaControls = ControlInfoMap(std::move(ctrlMap), controls::controls);
}
void IPARkISP1::setControls(unsigned int frame)
{
/*
* \todo The frame number is most likely wrong here, we need to take
* internal sensor delays and other timing parameters into account.
*/
IPAFrameContext &frameContext = context_.frameContexts.get(frame);
uint32_t exposure = frameContext.agc.exposure;
uint32_t gain = camHelper_->gainCode(frameContext.agc.gain);
ControlList ctrls(sensorControls_);
ctrls.set(V4L2_CID_EXPOSURE, static_cast<int32_t>(exposure));
ctrls.set(V4L2_CID_ANALOGUE_GAIN, static_cast<int32_t>(gain));
setSensorControls.emit(frame, ctrls);
}
} /* namespace ipa::rkisp1 */
/*
* External IPA module interface
*/
extern "C" {
const struct IPAModuleInfo ipaModuleInfo = {
IPA_MODULE_API_VERSION,
1,
"rkisp1",
"rkisp1",
};
IPAInterface *ipaCreate()
{
return new ipa::rkisp1::IPARkISP1();
}
}
} /* namespace libcamera */
|
0 | repos/libcamera/src/ipa/rkisp1 | repos/libcamera/src/ipa/rkisp1/data/ov8858.yaml | # SPDX-License-Identifier: CC0-1.0
%YAML 1.1
---
version: 1
algorithms:
- Agc:
- Awb:
- LensShadingCorrection:
x-size: [ 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625 ]
y-size: [ 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625 ]
sets:
#3264x2448_A_70 - A
- ct: 2856
resolution: 3264x2448
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#3264x2448_D50_70 - D50
- ct: 5003
resolution: 3264x2448
r: [4095, 3613, 3287, 3049, 2867, 2696, 2545, 2427, 2374, 2387, 2473, 2592, 2779, 2948, 3156, 3544, 3984, 3842, 3341, 3076, 2850, 2650, 2438, 2245, 2123, 2065, 2085, 2164, 2316, 2531, 2745, 2979, 3232, 3738, 3605, 3194, 2924, 2694, 2430, 2182, 1986, 1867, 1814, 1824, 1909, 2060, 2301, 2567, 2807, 3088, 3473, 3432, 3048, 2806, 2516, 2208, 1953, 1758, 1638, 1581, 1596, 1679, 1836, 2061, 2367, 2669, 2928, 3285, 3275, 2940, 2676, 2354, 2027, 1763, 1572, 1443, 1385, 1398, 1496, 1648, 1878, 2184, 2527, 2813, 3150, 3181, 2855, 2566, 2201, 1877, 1622, 1413, 1284, 1226, 1243, 1333, 1502, 1732, 2033, 2391, 2731, 3021, 3116, 2786, 2474, 2100, 1773, 1510, 1304, 1171, 1114, 1131, 1224, 1389, 1630, 1925, 2296, 2638, 2973, 3060, 2752, 2410, 2024, 1710, 1437, 1231, 1101, 1044, 1063, 1152, 1318, 1559, 1865, 2228, 2600, 2919, 3044, 2730, 2388, 2001, 1677, 1403, 1204, 1073, 1024, 1036, 1128, 1289, 1534, 1839, 2198, 2569, 2903, 3039, 2734, 2392, 2004, 1684, 1417, 1210, 1086, 1031, 1050, 1138, 1306, 1544, 1845, 2204, 2576, 2916, 3099, 2751, 2432, 2050, 1732, 1469, 1264, 1136, 1085, 1101, 1194, 1358, 1596, 1891, 2264, 2612, 2929, 3131, 2808, 2499, 2142, 1811, 1556, 1354, 1230, 1178, 1195, 1286, 1451, 1683, 1986, 2341, 2678, 2991, 3235, 2875, 2592, 2258, 1936, 1679, 1491, 1363, 1310, 1332, 1421, 1582, 1813, 2113, 2455, 2737, 3096, 3357, 2965, 2692, 2412, 2094, 1840, 1650, 1533, 1485, 1501, 1591, 1747, 1979, 2275, 2582, 2840, 3239, 3543, 3094, 2808, 2555, 2298, 2043, 1851, 1737, 1685, 1703, 1791, 1955, 2178, 2459, 2700, 2992, 3425, 3749, 3286, 2950, 2712, 2495, 2282, 2093, 1972, 1919, 1950, 2033, 2186, 2412, 2625, 2856, 3165, 3713, 4095, 3514, 3156, 2880, 2701, 2511, 2370, 2249, 2203, 2222, 2309, 2454, 2607, 2813, 3060, 3476, 3973, ]
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#3264x2448_D65_70 - D65
- ct: 6504
resolution: 3264x2448
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#3264x2448_D75_70 - D75
- ct: 7504
resolution: 3264x2448
r: [4095, 3519, 3218, 2985, 2815, 2645, 2509, 2389, 2327, 2355, 2435, 2555, 2710, 2908, 3107, 3455, 3909, 3739, 3284, 3001, 2795, 2603, 2392, 2213, 2093, 2049, 2058, 2135, 2281, 2493, 2685, 2920, 3163, 3650, 3536, 3113, 2865, 2641, 2393, 2149, 1967, 1852, 1802, 1811, 1894, 2037, 2267, 2525, 2747, 3014, 3388, 3358, 2983, 2730, 2466, 2185, 1933, 1755, 1634, 1579, 1590, 1678, 1826, 2049, 2329, 2621, 2864, 3207, 3196, 2870, 2628, 2311, 2001, 1757, 1569, 1439, 1382, 1396, 1488, 1645, 1865, 2163, 2477, 2773, 3063, 3115, 2785, 2512, 2175, 1859, 1619, 1412, 1285, 1228, 1243, 1335, 1502, 1726, 2015, 2362, 2666, 2951, 3027, 2733, 2430, 2073, 1761, 1507, 1303, 1172, 1116, 1132, 1223, 1388, 1622, 1913, 2253, 2591, 2908, 2995, 2683, 2368, 2007, 1696, 1435, 1234, 1104, 1045, 1068, 1154, 1317, 1561, 1846, 2189, 2547, 2845, 2960, 2670, 2344, 1972, 1667, 1403, 1205, 1074, 1024, 1038, 1128, 1290, 1526, 1816, 2166, 2519, 2841, 2985, 2665, 2355, 1980, 1675, 1416, 1210, 1087, 1032, 1052, 1141, 1300, 1537, 1836, 2171, 2530, 2837, 3017, 2686, 2380, 2030, 1721, 1465, 1264, 1140, 1086, 1104, 1190, 1358, 1586, 1879, 2221, 2556, 2871, 3062, 2738, 2456, 2107, 1796, 1549, 1356, 1232, 1175, 1192, 1285, 1446, 1672, 1961, 2298, 2626, 2926, 3172, 2807, 2533, 2227, 1916, 1670, 1485, 1356, 1308, 1325, 1415, 1577, 1801, 2085, 2411, 2676, 3033, 3272, 2904, 2640, 2360, 2069, 1821, 1639, 1525, 1476, 1492, 1580, 1735, 1951, 2232, 2536, 2784, 3143, 3481, 3014, 2752, 2511, 2256, 2018, 1835, 1719, 1672, 1687, 1777, 1931, 2151, 2414, 2647, 2922, 3369, 3652, 3193, 2877, 2650, 2441, 2239, 2058, 1946, 1895, 1918, 1999, 2153, 2365, 2572, 2794, 3086, 3594, 4095, 3408, 3097, 2824, 2643, 2469, 2323, 2215, 2158, 2187, 2264, 2412, 2554, 2742, 2991, 3425, 3869, ]
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#3264x2448_F11_TL84_70 - F11_TL84
- ct: 4000
resolution: 3264x2448
r: [4002, 3309, 3035, 2794, 2634, 2461, 2319, 2207, 2157, 2168, 2244, 2370, 2537, 2712, 2917, 3269, 3672, 3551, 3103, 2825, 2625, 2420, 2214, 2037, 1922, 1874, 1882, 1956, 2100, 2302, 2511, 2738, 2969, 3444, 3298, 2949, 2692, 2463, 2213, 1969, 1792, 1686, 1640, 1646, 1721, 1857, 2074, 2333, 2576, 2831, 3187, 3157, 2805, 2562, 2298, 1998, 1762, 1596, 1491, 1444, 1454, 1521, 1655, 1863, 2142, 2432, 2691, 3014, 3030, 2709, 2454, 2128, 1831, 1597, 1435, 1335, 1291, 1302, 1366, 1495, 1686, 1971, 2291, 2593, 2883, 2940, 2627, 2345, 1995, 1701, 1475, 1311, 1216, 1176, 1186, 1246, 1372, 1564, 1831, 2173, 2490, 2788, 2868, 2575, 2259, 1900, 1604, 1387, 1231, 1136, 1095, 1105, 1167, 1286, 1475, 1735, 2074, 2418, 2721, 2826, 2533, 2203, 1835, 1548, 1332, 1177, 1084, 1042, 1056, 1116, 1233, 1422, 1676, 2015, 2370, 2679, 2812, 2511, 2176, 1810, 1521, 1303, 1157, 1063, 1024, 1034, 1095, 1216, 1398, 1657, 1989, 2342, 2677, 2816, 2517, 2185, 1816, 1530, 1312, 1161, 1070, 1031, 1041, 1109, 1224, 1410, 1665, 1999, 2359, 2664, 2839, 2531, 2218, 1856, 1571, 1350, 1197, 1106, 1065, 1080, 1142, 1263, 1451, 1708, 2046, 2389, 2703, 2896, 2578, 2281, 1935, 1636, 1421, 1265, 1171, 1135, 1147, 1209, 1335, 1527, 1788, 2123, 2454, 2753, 2994, 2638, 2366, 2046, 1749, 1522, 1365, 1268, 1231, 1245, 1310, 1442, 1638, 1912, 2230, 2518, 2840, 3101, 2741, 2467, 2183, 1895, 1664, 1502, 1402, 1363, 1376, 1451, 1582, 1789, 2057, 2362, 2609, 2977, 3260, 2841, 2581, 2342, 2083, 1842, 1676, 1575, 1534, 1553, 1625, 1769, 1977, 2240, 2474, 2752, 3175, 3489, 3019, 2716, 2496, 2274, 2077, 1899, 1789, 1751, 1769, 1847, 1991, 2189, 2409, 2631, 2927, 3411, 3949, 3229, 2910, 2647, 2477, 2296, 2156, 2049, 2010, 2022, 2104, 2237, 2398, 2579, 2812, 3226, 3666, ]
gr: [3132, 2654, 2457, 2283, 2168, 2064, 1974, 1892, 1855, 1864, 1922, 1997, 2100, 2202, 2331, 2576, 2861, 2822, 2487, 2297, 2143, 2021, 1891, 1780, 1697, 1664, 1669, 1720, 1809, 1934, 2058, 2197, 2364, 2674, 2652, 2374, 2189, 2039, 1882, 1732, 1618, 1541, 1502, 1512, 1561, 1654, 1788, 1943, 2081, 2250, 2503, 2542, 2272, 2100, 1925, 1743, 1592, 1482, 1408, 1367, 1378, 1429, 1517, 1644, 1816, 1993, 2163, 2364, 2454, 2203, 2028, 1824, 1624, 1481, 1366, 1286, 1249, 1256, 1312, 1409, 1527, 1709, 1905, 2097, 2279, 2368, 2158, 1956, 1731, 1540, 1390, 1275, 1189, 1153, 1165, 1219, 1318, 1446, 1615, 1833, 2032, 2220, 2332, 2110, 1908, 1667, 1473, 1322, 1200, 1119, 1085, 1095, 1149, 1249, 1383, 1550, 1760, 1983, 2175, 2300, 2074, 1859, 1619, 1428, 1273, 1154, 1072, 1038, 1052, 1105, 1203, 1339, 1506, 1722, 1951, 2146, 2289, 2061, 1844, 1602, 1410, 1256, 1134, 1053, 1024, 1031, 1089, 1183, 1320, 1490, 1702, 1938, 2137, 2282, 2067, 1845, 1605, 1418, 1260, 1141, 1061, 1027, 1041, 1095, 1194, 1328, 1497, 1713, 1942, 2139, 2318, 2083, 1870, 1634, 1448, 1296, 1173, 1096, 1062, 1073, 1129, 1226, 1363, 1528, 1741, 1967, 2157, 2345, 2113, 1918, 1691, 1495, 1351, 1233, 1154, 1119, 1132, 1189, 1286, 1418, 1583, 1795, 2001, 2190, 2416, 2159, 1976, 1767, 1568, 1424, 1311, 1232, 1202, 1211, 1268, 1363, 1490, 1661, 1868, 2047, 2256, 2502, 2222, 2037, 1855, 1670, 1518, 1407, 1333, 1302, 1313, 1369, 1457, 1591, 1756, 1941, 2106, 2352, 2619, 2304, 2118, 1948, 1789, 1638, 1523, 1449, 1418, 1432, 1483, 1578, 1706, 1875, 2011, 2197, 2473, 2758, 2433, 2198, 2052, 1915, 1783, 1674, 1593, 1566, 1576, 1629, 1721, 1852, 1976, 2115, 2312, 2657, 3071, 2569, 2344, 2154, 2039, 1930, 1841, 1773, 1734, 1748, 1795, 1881, 1974, 2089, 2231, 2521, 2802, ]
gb: [3133, 2656, 2457, 2275, 2154, 2053, 1951, 1877, 1838, 1848, 1901, 1985, 2088, 2205, 2345, 2598, 2891, 2824, 2492, 2292, 2135, 2015, 1879, 1765, 1681, 1647, 1653, 1708, 1800, 1928, 2056, 2208, 2384, 2708, 2667, 2381, 2198, 2039, 1879, 1723, 1610, 1527, 1492, 1502, 1553, 1645, 1781, 1953, 2093, 2277, 2545, 2558, 2287, 2108, 1931, 1743, 1586, 1472, 1400, 1359, 1367, 1424, 1513, 1652, 1830, 2012, 2188, 2417, 2474, 2212, 2042, 1831, 1630, 1477, 1365, 1283, 1242, 1255, 1313, 1408, 1538, 1723, 1930, 2127, 2323, 2395, 2169, 1970, 1738, 1548, 1392, 1272, 1187, 1151, 1161, 1222, 1322, 1459, 1633, 1861, 2066, 2263, 2356, 2130, 1922, 1679, 1479, 1325, 1200, 1118, 1082, 1094, 1151, 1254, 1396, 1573, 1792, 2024, 2227, 2337, 2095, 1883, 1627, 1438, 1279, 1156, 1074, 1038, 1054, 1110, 1211, 1352, 1530, 1752, 1997, 2195, 2306, 2095, 1861, 1616, 1421, 1258, 1139, 1055, 1024, 1035, 1094, 1193, 1335, 1513, 1741, 1986, 2182, 2315, 2094, 1867, 1622, 1427, 1266, 1143, 1064, 1029, 1044, 1100, 1202, 1344, 1523, 1746, 1989, 2193, 2342, 2108, 1890, 1648, 1458, 1299, 1176, 1096, 1061, 1075, 1132, 1236, 1376, 1557, 1773, 2010, 2203, 2377, 2140, 1939, 1704, 1508, 1353, 1232, 1154, 1120, 1131, 1193, 1292, 1432, 1608, 1828, 2044, 2251, 2443, 2185, 1992, 1782, 1577, 1428, 1315, 1233, 1199, 1214, 1271, 1370, 1504, 1685, 1895, 2093, 2305, 2519, 2249, 2058, 1869, 1675, 1519, 1406, 1331, 1298, 1313, 1371, 1462, 1599, 1781, 1976, 2139, 2405, 2637, 2326, 2130, 1962, 1792, 1637, 1521, 1445, 1412, 1428, 1481, 1578, 1713, 1888, 2035, 2238, 2529, 2777, 2458, 2215, 2053, 1917, 1776, 1662, 1588, 1554, 1568, 1624, 1722, 1851, 1992, 2136, 2351, 2708, 3076, 2575, 2354, 2161, 2036, 1925, 1834, 1757, 1723, 1732, 1779, 1874, 1972, 2093, 2258, 2546, 2857, ]
b: [2906, 2483, 2290, 2108, 2020, 1921, 1851, 1778, 1756, 1759, 1799, 1880, 1969, 2074, 2183, 2435, 2664, 2618, 2324, 2122, 1992, 1883, 1772, 1666, 1601, 1578, 1586, 1627, 1712, 1827, 1934, 2072, 2225, 2524, 2483, 2211, 2037, 1900, 1761, 1625, 1532, 1472, 1447, 1449, 1486, 1571, 1692, 1847, 1968, 2118, 2360, 2370, 2126, 1961, 1803, 1638, 1509, 1411, 1355, 1324, 1335, 1376, 1449, 1572, 1729, 1884, 2042, 2233, 2286, 2051, 1902, 1710, 1537, 1407, 1314, 1249, 1222, 1228, 1276, 1356, 1472, 1629, 1815, 1975, 2159, 2238, 2012, 1839, 1636, 1463, 1333, 1232, 1165, 1137, 1144, 1192, 1280, 1394, 1549, 1743, 1922, 2094, 2184, 1979, 1797, 1586, 1413, 1279, 1170, 1102, 1074, 1086, 1134, 1219, 1345, 1492, 1684, 1888, 2067, 2160, 1958, 1765, 1546, 1378, 1240, 1132, 1062, 1035, 1050, 1095, 1184, 1307, 1459, 1646, 1858, 2036, 2151, 1954, 1752, 1531, 1366, 1224, 1115, 1046, 1026, 1033, 1081, 1170, 1293, 1450, 1635, 1845, 2032, 2155, 1948, 1754, 1535, 1373, 1228, 1118, 1053, 1024, 1038, 1088, 1175, 1299, 1452, 1638, 1849, 2027, 2179, 1970, 1780, 1565, 1391, 1259, 1147, 1079, 1053, 1063, 1113, 1203, 1324, 1474, 1668, 1869, 2037, 2214, 1989, 1816, 1610, 1433, 1297, 1194, 1130, 1105, 1112, 1161, 1249, 1367, 1522, 1710, 1892, 2074, 2264, 2034, 1863, 1673, 1491, 1360, 1264, 1199, 1176, 1185, 1230, 1312, 1434, 1590, 1770, 1936, 2127, 2348, 2084, 1916, 1751, 1581, 1437, 1343, 1284, 1254, 1268, 1312, 1395, 1516, 1673, 1837, 1986, 2216, 2445, 2159, 1975, 1832, 1684, 1544, 1441, 1381, 1358, 1367, 1413, 1494, 1612, 1773, 1894, 2067, 2330, 2573, 2285, 2061, 1914, 1791, 1672, 1568, 1507, 1480, 1492, 1529, 1619, 1743, 1862, 1987, 2168, 2475, 2853, 2395, 2197, 2003, 1909, 1798, 1726, 1652, 1638, 1640, 1687, 1762, 1852, 1956, 2101, 2365, 2643, ]
#3264x2448_F2_CWF_70 - F2_CWF
- ct: 4230
resolution: 3264x2448
r: [3695, 3077, 2822, 2622, 2472, 2342, 2200, 2111, 2075, 2079, 2145, 2258, 2393, 2547, 2713, 3030, 3396, 3294, 2882, 2641, 2461, 2294, 2117, 1965, 1868, 1822, 1827, 1898, 2020, 2200, 2366, 2557, 2763, 3190, 3081, 2755, 2527, 2334, 2120, 1915, 1760, 1667, 1625, 1635, 1702, 1820, 2002, 2225, 2422, 2641, 2979, 2935, 2624, 2415, 2192, 1939, 1732, 1587, 1496, 1452, 1461, 1526, 1643, 1825, 2064, 2314, 2518, 2804, 2832, 2532, 2323, 2050, 1792, 1591, 1448, 1348, 1301, 1315, 1382, 1504, 1675, 1916, 2190, 2435, 2700, 2735, 2464, 2229, 1935, 1680, 1485, 1327, 1227, 1183, 1194, 1265, 1392, 1567, 1799, 2091, 2351, 2611, 2673, 2415, 2150, 1853, 1597, 1397, 1244, 1144, 1096, 1111, 1182, 1308, 1489, 1715, 2000, 2291, 2552, 2638, 2381, 2104, 1797, 1546, 1342, 1189, 1086, 1042, 1058, 1126, 1255, 1435, 1666, 1950, 2257, 2514, 2621, 2361, 2083, 1766, 1525, 1319, 1164, 1064, 1024, 1037, 1106, 1231, 1415, 1644, 1929, 2233, 2506, 2638, 2364, 2088, 1777, 1528, 1326, 1168, 1073, 1029, 1046, 1115, 1240, 1422, 1654, 1941, 2237, 2511, 2655, 2388, 2121, 1813, 1563, 1366, 1210, 1114, 1070, 1084, 1155, 1283, 1459, 1693, 1981, 2269, 2530, 2712, 2427, 2182, 1884, 1628, 1428, 1281, 1183, 1143, 1158, 1226, 1352, 1531, 1764, 2046, 2317, 2579, 2790, 2485, 2250, 1983, 1722, 1523, 1379, 1284, 1242, 1258, 1327, 1454, 1628, 1862, 2139, 2376, 2667, 2895, 2571, 2344, 2103, 1851, 1644, 1506, 1409, 1371, 1388, 1457, 1578, 1756, 1996, 2250, 2457, 2782, 3048, 2672, 2441, 2229, 2007, 1806, 1658, 1567, 1526, 1541, 1611, 1739, 1916, 2148, 2340, 2583, 2953, 3225, 2827, 2544, 2353, 2172, 1998, 1846, 1755, 1708, 1732, 1794, 1928, 2102, 2282, 2468, 2726, 3175, 3641, 3010, 2734, 2492, 2341, 2192, 2069, 1968, 1937, 1948, 2023, 2139, 2270, 2437, 2634, 2994, 3392, ]
gr: [3050, 2599, 2407, 2232, 2134, 2044, 1950, 1879, 1843, 1845, 1897, 1973, 2069, 2164, 2285, 2518, 2788, 2763, 2436, 2247, 2112, 1994, 1867, 1764, 1688, 1655, 1661, 1710, 1788, 1907, 2024, 2157, 2320, 2612, 2604, 2323, 2155, 2009, 1858, 1715, 1606, 1543, 1504, 1512, 1556, 1640, 1766, 1917, 2047, 2211, 2450, 2492, 2232, 2067, 1906, 1727, 1584, 1480, 1411, 1371, 1381, 1428, 1512, 1632, 1799, 1962, 2124, 2327, 2400, 2164, 1999, 1801, 1617, 1475, 1369, 1292, 1252, 1264, 1317, 1408, 1525, 1691, 1879, 2063, 2240, 2326, 2120, 1935, 1721, 1533, 1392, 1278, 1194, 1156, 1167, 1225, 1319, 1443, 1606, 1809, 2003, 2170, 2291, 2075, 1883, 1653, 1470, 1323, 1204, 1122, 1086, 1096, 1153, 1252, 1381, 1540, 1746, 1951, 2139, 2256, 2043, 1839, 1609, 1430, 1278, 1158, 1076, 1038, 1052, 1108, 1206, 1341, 1500, 1702, 1929, 2103, 2242, 2036, 1820, 1596, 1411, 1260, 1138, 1053, 1024, 1032, 1091, 1186, 1322, 1484, 1690, 1909, 2098, 2251, 2034, 1826, 1598, 1416, 1267, 1143, 1065, 1027, 1043, 1097, 1198, 1328, 1493, 1694, 1913, 2096, 2263, 2048, 1852, 1626, 1447, 1298, 1177, 1096, 1063, 1075, 1131, 1230, 1360, 1521, 1723, 1934, 2117, 2316, 2078, 1897, 1680, 1494, 1351, 1238, 1159, 1123, 1135, 1193, 1290, 1416, 1572, 1776, 1974, 2152, 2362, 2122, 1947, 1746, 1562, 1424, 1313, 1238, 1207, 1218, 1272, 1361, 1484, 1647, 1838, 2014, 2215, 2461, 2182, 2007, 1835, 1653, 1510, 1408, 1336, 1305, 1317, 1368, 1456, 1576, 1736, 1919, 2068, 2306, 2560, 2260, 2080, 1920, 1771, 1626, 1516, 1450, 1420, 1432, 1480, 1566, 1687, 1844, 1975, 2157, 2418, 2703, 2387, 2160, 2012, 1888, 1763, 1660, 1588, 1558, 1566, 1617, 1702, 1827, 1943, 2075, 2267, 2603, 2992, 2511, 2296, 2118, 2001, 1898, 1817, 1749, 1719, 1730, 1779, 1859, 1938, 2050, 2187, 2457, 2741, ]
gb: [3060, 2612, 2398, 2229, 2123, 2030, 1932, 1857, 1822, 1830, 1874, 1957, 2069, 2163, 2291, 2542, 2825, 2776, 2432, 2251, 2106, 1988, 1856, 1748, 1668, 1636, 1641, 1695, 1784, 1902, 2026, 2170, 2338, 2654, 2609, 2336, 2151, 2005, 1853, 1710, 1597, 1527, 1487, 1500, 1546, 1634, 1768, 1926, 2063, 2235, 2497, 2514, 2248, 2075, 1908, 1727, 1578, 1471, 1396, 1360, 1371, 1422, 1509, 1639, 1810, 1981, 2151, 2365, 2415, 2182, 2010, 1807, 1619, 1474, 1366, 1284, 1247, 1257, 1316, 1409, 1532, 1710, 1906, 2098, 2282, 2358, 2140, 1949, 1725, 1539, 1393, 1276, 1191, 1153, 1166, 1224, 1325, 1455, 1628, 1840, 2045, 2226, 2308, 2101, 1903, 1666, 1479, 1329, 1204, 1121, 1083, 1098, 1154, 1260, 1395, 1565, 1775, 2000, 2191, 2296, 2069, 1863, 1625, 1437, 1285, 1160, 1074, 1038, 1053, 1112, 1214, 1355, 1527, 1746, 1970, 2167, 2280, 2060, 1844, 1609, 1422, 1262, 1140, 1055, 1024, 1034, 1095, 1198, 1337, 1516, 1724, 1962, 2155, 2284, 2063, 1850, 1618, 1429, 1273, 1147, 1064, 1030, 1043, 1104, 1207, 1351, 1519, 1738, 1965, 2159, 2303, 2083, 1878, 1640, 1460, 1304, 1182, 1099, 1065, 1078, 1136, 1244, 1379, 1552, 1764, 1986, 2181, 2341, 2110, 1916, 1698, 1504, 1359, 1238, 1159, 1125, 1136, 1197, 1297, 1431, 1599, 1809, 2018, 2208, 2403, 2156, 1967, 1764, 1570, 1427, 1315, 1237, 1205, 1217, 1274, 1369, 1502, 1673, 1875, 2061, 2278, 2488, 2208, 2025, 1848, 1662, 1513, 1405, 1333, 1304, 1314, 1372, 1460, 1588, 1760, 1946, 2108, 2355, 2596, 2289, 2101, 1934, 1775, 1624, 1516, 1442, 1412, 1425, 1476, 1571, 1700, 1865, 2005, 2195, 2486, 2720, 2411, 2169, 2025, 1895, 1760, 1650, 1578, 1548, 1559, 1612, 1702, 1834, 1960, 2101, 2302, 2647, 3035, 2523, 2314, 2125, 2002, 1897, 1806, 1738, 1705, 1716, 1766, 1855, 1944, 2061, 2204, 2497, 2792, ]
b: [2861, 2421, 2239, 2078, 1980, 1893, 1811, 1762, 1723, 1742, 1779, 1851, 1933, 2034, 2151, 2359, 2635, 2562, 2279, 2088, 1949, 1859, 1748, 1650, 1585, 1562, 1570, 1607, 1691, 1798, 1909, 2028, 2181, 2467, 2428, 2166, 2009, 1873, 1736, 1613, 1518, 1461, 1436, 1441, 1480, 1557, 1676, 1814, 1932, 2087, 2311, 2326, 2088, 1923, 1779, 1621, 1492, 1404, 1351, 1322, 1329, 1368, 1445, 1557, 1708, 1863, 2004, 2200, 2250, 2013, 1869, 1687, 1522, 1398, 1309, 1250, 1218, 1231, 1273, 1354, 1457, 1615, 1779, 1941, 2113, 2187, 1979, 1812, 1617, 1454, 1331, 1231, 1163, 1137, 1145, 1195, 1277, 1392, 1537, 1720, 1899, 2061, 2161, 1947, 1769, 1567, 1405, 1273, 1171, 1101, 1078, 1087, 1132, 1222, 1336, 1483, 1665, 1849, 2018, 2122, 1923, 1740, 1530, 1369, 1239, 1131, 1064, 1037, 1049, 1096, 1182, 1306, 1452, 1625, 1829, 1999, 2115, 1919, 1730, 1520, 1360, 1222, 1117, 1046, 1024, 1033, 1086, 1169, 1288, 1439, 1617, 1815, 1991, 2121, 1918, 1736, 1524, 1359, 1227, 1119, 1053, 1025, 1040, 1088, 1173, 1295, 1442, 1624, 1817, 1995, 2136, 1934, 1750, 1546, 1384, 1254, 1147, 1079, 1053, 1063, 1114, 1203, 1321, 1464, 1649, 1837, 2004, 2179, 1955, 1795, 1587, 1423, 1294, 1195, 1131, 1105, 1112, 1161, 1247, 1362, 1506, 1688, 1872, 2037, 2228, 1999, 1833, 1656, 1480, 1353, 1263, 1197, 1172, 1182, 1228, 1311, 1423, 1574, 1751, 1903, 2078, 2309, 2047, 1889, 1724, 1558, 1425, 1336, 1277, 1252, 1263, 1308, 1382, 1500, 1654, 1806, 1954, 2164, 2390, 2114, 1949, 1802, 1660, 1524, 1429, 1373, 1352, 1360, 1401, 1482, 1597, 1748, 1863, 2031, 2287, 2520, 2231, 2019, 1882, 1760, 1651, 1549, 1494, 1466, 1478, 1519, 1597, 1715, 1827, 1947, 2124, 2444, 2788, 2355, 2157, 1974, 1878, 1770, 1701, 1637, 1615, 1612, 1661, 1743, 1824, 1925, 2064, 2315, 2599, ]
|
0 | repos/libcamera/src/ipa/rkisp1 | repos/libcamera/src/ipa/rkisp1/data/imx219.yaml | # SPDX-License-Identifier: CC0-1.0
%YAML 1.1
---
version: 1
algorithms:
- Agc:
- Awb:
- BlackLevelCorrection:
R: 256
Gr: 256
Gb: 256
B: 256
- LensShadingCorrection:
x-size: [ 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625 ]
y-size: [ 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625 ]
sets:
- ct: 5800
r: [
1501, 1480, 1478, 1362, 1179, 1056, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1030, 1053, 1134, 1185, 1520, 1480, 1463, 1179, 1056, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1027, 1046, 1134, 1533, 1471, 1179, 1056, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1025, 1039, 1471,
1314, 1068, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1025, 1314, 1150, 1028, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1150, 1050, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1076, 1026,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1052, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
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1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
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1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1057, 1161,
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1884, 1587, 1275, 1079, 1052, 1046, 1046, 1046, 1046, 1055, 1101, 1204, 1336,
1487, 1493, 1476,
]
gr: [
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1024, 1024, 1024, 1024, 1250, 1095, 1028, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1095, 1030, 1024, 1024, 1024,
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1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1025, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1041, 1051, 1025, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1051, 1165, 1088,
1051, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1051, 1165, 1261,
]
gb: [
1259, 1248, 1092, 1027, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1248, 1092, 1027, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1092, 1029, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1029,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1025, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1041, 1051, 1025, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1052, 1166, 1090,
1051, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1052, 1166, 1266,
]
b: [
1380, 1378, 1377, 1247, 1080, 1025, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1030, 1406, 1378, 1284, 1092, 1027, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1406, 1338, 1129, 1029, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1338,
1205, 1043, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1205, 1094, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1116, 1039, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1070, 1025,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1052, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
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1024, 1052, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1070, 1025, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1025, 1109, 1036, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1025, 1057,
1175, 1082, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1057, 1176, 1293, 1172, 1036, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1054, 1185, 1334, 1438, 1294, 1099, 1025, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1054, 1185, 1334, 1334, 1462,
1438, 1226, 1059, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1025, 1054, 1185,
1326, 1334, 1334,
]
...
|
0 | repos/libcamera/src/ipa/rkisp1 | repos/libcamera/src/ipa/rkisp1/data/ov5640.yaml | # SPDX-License-Identifier: CC0-1.0
%YAML 1.1
---
version: 1
algorithms:
- Agc:
- Awb:
- BlackLevelCorrection:
R: 256
Gr: 256
Gb: 256
B: 256
- ColorProcessing:
- GammaSensorLinearization:
x-intervals: [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]
y:
red: [ 0, 256, 512, 768, 1024, 1280, 1536, 1792, 2048, 2304, 2560, 2816, 3072, 3328, 3584, 3840, 4095 ]
green: [ 0, 256, 512, 768, 1024, 1280, 1536, 1792, 2048, 2304, 2560, 2816, 3072, 3328, 3584, 3840, 4095 ]
blue: [ 0, 256, 512, 768, 1024, 1280, 1536, 1792, 2048, 2304, 2560, 2816, 3072, 3328, 3584, 3840, 4095 ]
- LensShadingCorrection:
x-size: [ 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625 ]
y-size: [ 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625 ]
sets:
- ct: 3000
r: [
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
]
gr: [
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
]
gb: [
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1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
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1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
]
b: [
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
]
- ct: 7000
r: [
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1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
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1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
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1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
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1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
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1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
]
gr: [
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1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
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1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
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1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
]
gb: [
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1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
]
b: [
1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
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1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536, 1536,
]
- DefectPixelClusterCorrection:
fixed-set: false
sets:
# PG, LC, RO, RND, RG
- line-threshold:
green: 8
red-blue: 8
line-mad-factor:
green: 4
red-blue: 4
pg-factor:
green: 8
red-blue: 8
rnd-threshold:
green: 10
red-blue: 10
rg-factor:
green: 32
red-blue: 32
ro-limits:
green: 1
red-blue: 1
rnd-offsets:
green: 2
red-blue: 2
# PG, LC, RO
- line-threshold:
green: 24
red-blue: 32
line-mad-factor:
green: 16
red-blue: 24
pg-factor:
green: 6
red-blue: 8
ro-limits:
green: 2
red-blue: 2
# PG, LC, RO, RND, RG
- line-threshold:
green: 32
red-blue: 32
line-mad-factor:
green: 4
red-blue: 4
pg-factor:
green: 10
red-blue: 10
rnd-threshold:
green: 6
red-blue: 8
rg-factor:
green: 4
red-blue: 4
ro-limits:
green: 1
red-blue: 2
rnd-offsets:
green: 2
red-blue: 2
- Dpf:
DomainFilter:
g: [ 16, 16, 16, 16, 16, 16 ]
rb: [ 16, 16, 16, 16, 16, 16 ]
NoiseLevelFunction:
coeff: [
1023, 1023, 1023, 1023, 1023, 1023, 1023, 1023,
1023, 1023, 1023, 1023, 1023, 1023, 1023, 1023,
1023
]
scale-mode: "linear"
FilterStrength:
r: 64
g: 64
b: 64
- Filter:
...
|
0 | repos/libcamera/src/ipa/rkisp1 | repos/libcamera/src/ipa/rkisp1/data/ov2685.yaml | # SPDX-License-Identifier: CC0-1.0
%YAML 1.1
---
version: 1
algorithms:
- Agc:
- Awb:
- LensShadingCorrection:
x-size: [ 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625 ]
y-size: [ 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625 ]
sets:
#800x600_A_70 - A
- ct: 2856
resolution: 800x600
r: [2451, 2258, 2111, 2039, 1982, 1925, 1860, 1818, 1802, 1815, 1859, 1936, 1997, 2056, 2129, 2298, 2486, 2351, 2157, 2066, 1991, 1912, 1809, 1720, 1677, 1653, 1671, 1739, 1843, 1932, 2009, 2071, 2182, 2392, 2253, 2105, 2018, 1929, 1802, 1670, 1566, 1503, 1475, 1508, 1590, 1705, 1848, 1947, 2026, 2118, 2281, 2174, 2065, 1975, 1854, 1687, 1529, 1412, 1345, 1327, 1358, 1445, 1572, 1733, 1870, 1992, 2075, 2202, 2125, 2033, 1929, 1765, 1574, 1407, 1286, 1220, 1204, 1237, 1318, 1447, 1632, 1801, 1951, 2048, 2142, 2092, 2010, 1877, 1688, 1471, 1304, 1187, 1127, 1118, 1149, 1221, 1348, 1533, 1738, 1918, 2021, 2105, 2088, 1982, 1836, 1628, 1398, 1239, 1128, 1073, 1060, 1086, 1163, 1280, 1466, 1688, 1886, 2001, 2092, 2067, 1965, 1809, 1584, 1358, 1200, 1094, 1044, 1030, 1056, 1123, 1240, 1424, 1649, 1860, 1989, 2082, 2057, 1960, 1795, 1569, 1345, 1187, 1083, 1034, 1024, 1046, 1111, 1229, 1408, 1637, 1850, 1989, 2085, 2053, 1967, 1802, 1578, 1358, 1199, 1095, 1046, 1031, 1058, 1122, 1245, 1423, 1651, 1867, 1989, 2084, 2059, 1970, 1823, 1615, 1399, 1235, 1129, 1074, 1061, 1090, 1161, 1281, 1461, 1689, 1878, 2006, 2096, 2086, 1989, 1866, 1670, 1471, 1302, 1188, 1134, 1117, 1150, 1223, 1352, 1537, 1745, 1909, 2028, 2114, 2101, 2006, 1916, 1749, 1567, 1399, 1278, 1218, 1206, 1237, 1317, 1456, 1633, 1813, 1954, 2053, 2142, 2171, 2023, 1954, 1843, 1680, 1526, 1403, 1339, 1323, 1357, 1440, 1575, 1733, 1885, 1996, 2069, 2212, 2231, 2074, 1990, 1916, 1792, 1656, 1554, 1489, 1473, 1513, 1588, 1702, 1840, 1946, 2011, 2124, 2283, 2343, 2146, 2036, 1973, 1890, 1789, 1700, 1653, 1645, 1678, 1733, 1828, 1922, 1978, 2065, 2181, 2405, 2420, 2246, 2092, 2015, 1954, 1885, 1816, 1776, 1777, 1791, 1847, 1904, 1941, 2016, 2105, 2284, 2463, ]
gr: [1790, 1645, 1522, 1469, 1433, 1419, 1390, 1381, 1374, 1381, 1401, 1428, 1460, 1494, 1552, 1693, 1839, 1687, 1555, 1471, 1433, 1408, 1362, 1335, 1319, 1308, 1318, 1344, 1393, 1430, 1456, 1497, 1591, 1752, 1612, 1503, 1447, 1417, 1365, 1315, 1276, 1248, 1237, 1252, 1290, 1339, 1404, 1435, 1469, 1539, 1661, 1547, 1470, 1424, 1389, 1321, 1260, 1205, 1173, 1165, 1181, 1221, 1286, 1358, 1409, 1452, 1503, 1603, 1504, 1451, 1411, 1358, 1276, 1198, 1148, 1114, 1110, 1124, 1164, 1228, 1320, 1388, 1435, 1479, 1552, 1475, 1437, 1392, 1325, 1231, 1153, 1094, 1069, 1068, 1084, 1119, 1182, 1278, 1365, 1429, 1469, 1529, 1464, 1430, 1375, 1301, 1196, 1118, 1067, 1043, 1039, 1051, 1089, 1150, 1245, 1342, 1417, 1453, 1512, 1461, 1418, 1369, 1281, 1177, 1099, 1051, 1028, 1029, 1037, 1069, 1129, 1224, 1328, 1404, 1449, 1503, 1455, 1422, 1366, 1276, 1170, 1094, 1046, 1026, 1024, 1033, 1063, 1125, 1216, 1322, 1400, 1448, 1508, 1459, 1426, 1368, 1280, 1179, 1102, 1051, 1030, 1029, 1039, 1071, 1132, 1222, 1327, 1406, 1448, 1502, 1473, 1433, 1380, 1302, 1201, 1125, 1069, 1046, 1043, 1055, 1091, 1153, 1245, 1343, 1412, 1461, 1523, 1488, 1445, 1397, 1328, 1242, 1157, 1104, 1079, 1073, 1088, 1127, 1193, 1284, 1373, 1424, 1473, 1543, 1521, 1461, 1424, 1361, 1289, 1210, 1152, 1124, 1118, 1134, 1174, 1242, 1330, 1396, 1439, 1494, 1572, 1573, 1475, 1434, 1397, 1336, 1270, 1213, 1182, 1176, 1194, 1239, 1301, 1366, 1420, 1464, 1510, 1624, 1628, 1510, 1449, 1424, 1378, 1326, 1281, 1252, 1243, 1264, 1304, 1352, 1406, 1443, 1456, 1554, 1692, 1727, 1578, 1482, 1448, 1415, 1374, 1337, 1318, 1317, 1338, 1356, 1398, 1429, 1443, 1501, 1603, 1783, 1776, 1643, 1510, 1448, 1415, 1387, 1353, 1344, 1343, 1348, 1368, 1396, 1407, 1442, 1515, 1674, 1832, ]
gb: [1805, 1650, 1529, 1468, 1430, 1412, 1378, 1371, 1363, 1371, 1393, 1430, 1465, 1501, 1567, 1713, 1864, 1700, 1564, 1476, 1434, 1404, 1359, 1323, 1306, 1294, 1306, 1338, 1388, 1432, 1462, 1509, 1605, 1780, 1627, 1520, 1457, 1423, 1370, 1311, 1267, 1238, 1226, 1245, 1286, 1344, 1414, 1448, 1489, 1563, 1697, 1568, 1487, 1436, 1398, 1325, 1257, 1200, 1163, 1156, 1175, 1221, 1291, 1372, 1427, 1476, 1528, 1636, 1527, 1474, 1431, 1371, 1285, 1201, 1144, 1109, 1104, 1121, 1165, 1239, 1335, 1411, 1461, 1509, 1588, 1498, 1463, 1413, 1343, 1242, 1159, 1094, 1066, 1064, 1083, 1124, 1195, 1299, 1391, 1455, 1499, 1561, 1492, 1454, 1401, 1319, 1209, 1124, 1068, 1042, 1039, 1053, 1096, 1164, 1268, 1370, 1446, 1486, 1547, 1486, 1446, 1392, 1302, 1190, 1108, 1053, 1028, 1029, 1040, 1078, 1146, 1245, 1355, 1437, 1600, 1546, 1600, 1449, 1389, 1294, 1184, 1101, 1047, 1024, 1024, 1035, 1073, 1136, 1240, 1348, 1431, 1483, 1537, 1485, 1450, 1390, 1298, 1188, 1109, 1051, 1030, 1026, 1038, 1077, 1143, 1243, 1354, 1436, 1482, 1547, 1494, 1454, 1400, 1317, 1211, 1125, 1067, 1041, 1038, 1053, 1094, 1165, 1264, 1368, 1440, 1489, 1557, 1513, 1464, 1414, 1340, 1245, 1156, 1097, 1071, 1063, 1081, 1126, 1197, 1298, 1394, 1446, 1502, 1573, 1541, 1477, 1438, 1370, 1292, 1204, 1142, 1111, 1106, 1121, 1169, 1245, 1338, 1411, 1462, 1519, 1599, 1590, 1485, 1447, 1403, 1334, 1263, 1199, 1164, 1158, 1179, 1230, 1299, 1373, 1433, 1477, 1528, 1649, 1643, 1520, 1454, 1426, 1375, 1315, 1266, 1235, 1224, 1247, 1291, 1345, 1408, 1449, 1468, 1572, 1711, 1738, 1579, 1482, 1443, 1406, 1359, 1318, 1294, 1294, 1312, 1338, 1385, 1427, 1441, 1507, 1614, 1799, 1786, 1653, 1516, 1452, 1414, 1383, 1348, 1331, 1328, 1336, 1362, 1391, 1408, 1448, 1529, 1684, 1858, ]
b: [1807, 1633, 1496, 1427, 1395, 1372, 1357, 1340, 1339, 1335, 1356, 1382, 1410, 1454, 1541, 1690, 1860, 1657, 1503, 1411, 1364, 1342, 1312, 1286, 1274, 1262, 1270, 1287, 1326, 1355, 1387, 1447, 1550, 1726, 1556, 1438, 1374, 1340, 1305, 1267, 1236, 1213, 1199, 1211, 1246, 1280, 1324, 1355, 1397, 1475, 1620, 1473, 1407, 1350, 1317, 1270, 1223, 1173, 1144, 1135, 1151, 1185, 1237, 1292, 1326, 1368, 1422, 1544, 1430, 1375, 1331, 1293, 1238, 1166, 1120, 1096, 1091, 1104, 1133, 1188, 1261, 1310, 1351, 1388, 1487, 1383, 1362, 1316, 1269, 1194, 1128, 1076, 1054, 1057, 1070, 1101, 1146, 1229, 1294, 1329, 1368, 1459, 1368, 1347, 1301, 1250, 1162, 1099, 1057, 1039, 1035, 1041, 1076, 1119, 1199, 1271, 1321, 1349, 1440, 1360, 1338, 1299, 1234, 1145, 1086, 1042, 1029, 1026, 1034, 1059, 1104, 1176, 1260, 1307, 1344, 1439, 1347, 1342, 1293, 1226, 1139, 1077, 1040, 1024, 1025, 1030, 1051, 1099, 1170, 1249, 1301, 1335, 1432, 1346, 1342, 1295, 1227, 1145, 1083, 1040, 1025, 1024, 1031, 1059, 1096, 1170, 1247, 1297, 1338, 1436, 1362, 1344, 1299, 1245, 1161, 1095, 1055, 1034, 1031, 1041, 1069, 1115, 1185, 1252, 1299, 1347, 1453, 1378, 1353, 1311, 1261, 1191, 1117, 1077, 1058, 1045, 1063, 1092, 1141, 1210, 1274, 1302, 1358, 1461, 1405, 1364, 1329, 1281, 1229, 1159, 1106, 1084, 1080, 1093, 1124, 1180, 1244, 1285, 1317, 1380, 1496, 1467, 1379, 1343, 1304, 1260, 1208, 1154, 1127, 1117, 1138, 1172, 1225, 1266, 1297, 1340, 1397, 1556, 1532, 1428, 1354, 1325, 1290, 1248, 1211, 1181, 1178, 1197, 1227, 1261, 1293, 1321, 1342, 1450, 1624, 1634, 1502, 1394, 1347, 1316, 1283, 1251, 1239, 1241, 1254, 1266, 1297, 1312, 1328, 1396, 1509, 1739, 1685, 1572, 1426, 1351, 1313, 1285, 1257, 1254, 1249, 1259, 1266, 1287, 1292, 1336, 1429, 1593, 1816, ]
#800x600_D65_70 - D65
- ct: 6504
resolution: 800x600
r: [2310, 2164, 1991, 1936, 1850, 1817, 1755, 1703, 1707, 1707, 1757, 1836, 1862, 1962, 2029, 2221, 2360, 2246, 2047, 1960, 1865, 1809, 1707, 1633, 1600, 1571, 1595, 1646, 1733, 1829, 1886, 1973, 2107, 2297, 2150, 1988, 1897, 1818, 1703, 1592, 1504, 1453, 1424, 1452, 1527, 1625, 1753, 1828, 1929, 2014, 2213, 2056, 1960, 1846, 1757, 1608, 1475, 1376, 1315, 1297, 1330, 1399, 1512, 1645, 1782, 1879, 1981, 2117, 2007, 1925, 1817, 1678, 1513, 1371, 1268, 1205, 1188, 1221, 800, 1406, 1563, 1712, 1840, 1954, 2039, 1988, 1883, 1780, 1612, 1425, 1282, 1180, 1125, 1111, 1140, 1208, 1324, 1484, 1660, 1821, 1914, 2015, 1973, 1864, 1740, 1553, 1366, 1220, 1124, 1069, 1057, 1083, 1154, 1264, 1423, 1615, 1794, 1891, 2000, 1955, 1842, 1717, 1524, 1332, 1187, 1094, 1042, 1028, 1053, 1117, 1229, 1387, 1582, 1767, 1877, 1991, 1942, 1849, 1704, 1509, 1320, 1177, 1081, 1031, 1024, 1042, 1108, 1216, 1376, 1569, 1767, 1877, 1998, 1946, 1853, 1710, 1515, 1335, 1186, 1092, 1041, 1030, 1055, 1118, 1233, 1390, 1584, 1773, 1885, 1985, 1958, 1852, 1737, 1550, 1370, 1224, 1125, 1073, 1058, 1089, 1155, 1265, 1419, 1614, 1788, 1894, 2007, 1973, 1875, 1768, 1604, 1426, 1282, 1181, 1128, 1112, 1145, 1214, 1330, 1491, 1667, 1810, 1926, 2015, 1995, 1902, 1815, 1667, 1513, 1371, 1262, 1207, 1194, 1224, 1299, 1418, 1569, 1723, 1848, 1961, 2038, 2051, 1925, 1837, 1758, 1606, 1473, 1373, 1313, 1302, 1335, 1405, 1521, 1650, 1793, 1893, 1977, 2116, 2136, 1971, 1882, 1815, 1703, 1587, 1492, 1445, 1432, 1461, 1529, 1624, 1754, 1841, 1907, 2032, 2215, 2244, 2038, 1200, 1860, 1800, 1696, 1625, 1583, 1577, 1610, 1653, 1734, 1822, 1865, 1980, 2109, 2298, 2286, 2159, 1971, 1909, 1828, 1794, 1703, 1686, 1686, 1689, 1740, 1810, 1830, 1925, 1999, 2201, 2357, ]
gr: [1785, 1800, 1516, 1458, 1422, 1403, 1374, 1363, 1359, 1363, 1385, 1417, 1447, 1486, 1547, 1693, 1834, 1675, 1547, 1462, 1418, 1393, 1346, 1319, 1304, 1289, 1302, 1330, 1382, 1417, 1451, 1492, 1592, 1743, 1607, 1498, 1437, 1404, 1353, 1301, 1264, 1238, 1226, 1240, 1281, 1325, 1398, 1426, 1468, 1541, 1668, 1547, 1466, 1413, 1382, 1311, 1251, 1202, 1168, 1161, 1176, 1218, 1275, 1351, 1408, 1449, 1498, 1606, 1499, 1447, 1404, 1349, 1269, 1199, 1147, 1113, 1106, 1123, 1163, 1225, 1313, 1384, 1435, 1485, 1551, 1467, 1437, 1388, 1318, 1228, 1154, 1099, 1070, 1066, 1081, 1120, 1185, 1278, 1362, 1430, 1468, 1530, 1460, 1422, 1370, 1293, 1199, 1121, 1068, 1044, 1035, 1052, 1090, 1155, 1244, 1344, 1420, 1457, 1507, 1460, 1416, 1363, 1278, 1179, 1105, 1054, 1028, 1028, 1036, 1073, 1134, 1230, 1323, 1413, 1452, 1509, 1454, 1421, 1361, 1272, 1174, 1097, 1046, 1025, 1024, 1033, 1068, 1130, 1222, 1320, 1408, 1450, 1503, 1456, 1423, 1366, 1275, 1184, 1105, 1053, 1030, 1027, 1040, 1073, 1136, 1228, 1324, 1411, 1457, 1508, 1472, 1429, 1376, 1294, 1205, 1126, 1072, 1046, 1044, 1058, 1095, 1159, 1246, 1345, 1419, 1464, 1530, 1481, 1443, 1396, 1322, 1239, 1161, 1104, 1078, 1070, 1088, 1128, 1196, 1283, 1371, 1428, 1600, 1551, 1521, 1457, 1421, 1355, 1282, 1209, 1152, 1125, 1116, 1134, 1176, 1243, 1324, 1398, 1446, 1497, 1581, 1571, 1471, 1430, 1392, 1328, 1262, 1210, 1179, 1172, 1191, 1236, 1295, 1363, 1424, 1465, 1511, 1636, 1636, 1509, 1448, 1415, 1368, 1316, 1271, 1243, 1234, 1258, 800, 1340, 1407, 1439, 1459, 1561, 1699, 1720, 1577, 1479, 1444, 1408, 1362, 1325, 1304, 1305, 1325, 1348, 1394, 1426, 1439, 1503, 1609, 1788, 1770, 1642, 1502, 1444, 1400, 1384, 1338, 1334, 1329, 1339, 1357, 1389, 1396, 1443, 1514, 1670, 1822, ]
gb: [1791, 1649, 1516, 1459, 1422, 1404, 1373, 1360, 1353, 1358, 1386, 1424, 1451, 1492, 1563, 1710, 1854, 1687, 1553, 1463, 1420, 1393, 1347, 1313, 800, 1284, 1295, 1324, 1376, 1417, 1455, 1493, 1609, 1768, 1617, 1511, 1444, 1409, 1359, 1299, 1260, 1234, 1219, 1237, 1276, 1328, 1403, 1431, 1479, 1557, 1696, 1555, 1477, 1422, 1388, 1311, 1250, 1200, 1165, 1158, 1174, 1217, 1281, 1358, 1416, 1463, 1520, 1629, 1520, 1458, 1415, 1355, 1272, 1203, 1144, 1111, 1105, 1122, 1165, 1231, 1322, 1394, 1447, 1497, 1577, 1481, 1452, 1399, 1330, 1234, 1160, 1101, 1070, 1065, 1082, 1124, 1192, 1288, 1373, 1443, 1485, 1556, 1476, 1437, 1384, 1304, 1207, 1124, 1070, 1045, 1039, 1055, 1092, 1163, 1256, 1357, 1429, 1475, 1539, 1470, 1430, 1373, 1288, 1186, 1108, 1056, 1029, 1027, 1040, 1078, 1142, 1240, 1336, 1424, 1469, 1529, 1465, 1433, 1370, 1281, 1179, 1102, 1049, 1025, 1024, 1035, 1070, 1134, 1230, 1332, 1420, 1464, 1536, 1469, 1434, 1372, 1283, 1186, 1108, 1055, 1029, 1027, 1037, 1076, 1145, 1236, 1337, 1421, 1468, 1535, 1478, 1438, 1382, 1303, 1210, 1128, 1070, 1044, 1040, 1056, 1096, 1164, 1255, 1355, 1427, 1478, 1551, 1489, 1454, 1401, 1329, 1239, 1160, 1102, 1075, 1067, 1084, 1128, 1196, 1288, 1380, 1435, 1492, 1573, 1528, 1464, 1426, 1358, 1283, 1206, 1146, 1116, 1110, 1129, 1172, 1242, 1327, 1402, 1451, 1508, 1597, 1574, 1476, 1433, 1395, 1326, 1254, 1202, 1170, 1165, 1182, 1230, 1292, 1361, 1425, 1471, 1526, 1657, 1638, 1512, 1449, 1418, 1366, 1308, 1259, 1230, 1223, 1246, 1285, 1334, 1402, 1439, 1465, 1574, 1712, 1723, 1575, 1474, 1440, 1400, 1353, 1312, 1289, 1287, 1305, 1332, 1381, 1417, 1440, 1504, 1616, 1806, 1780, 1652, 1506, 1448, 1403, 1380, 1340, 1327, 1325, 1335, 1350, 1390, 1402, 1448, 1532, 1693, 1848, ]
b: [1834, 1686, 1532, 1462, 1420, 1404, 1369, 1360, 1354, 1357, 1375, 1415, 1442, 1496, 1568, 1741, 1872, 1706, 1543, 1441, 1391, 1366, 1321, 1295, 1281, 1270, 1276, 1305, 1345, 1389, 1418, 1477, 1588, 1752, 1594, 1473, 1400, 1363, 1317, 1269, 1238, 1216, 1206, 1214, 1250, 800, 1353, 1389, 1434, 1503, 1664, 1514, 1437, 1372, 1334, 1278, 1228, 1180, 1151, 1143, 1159, 1196, 1246, 1313, 1359, 1405, 1453, 1587, 1465, 1401, 1351, 1308, 1236, 1177, 1127, 1101, 1093, 1109, 1141, 1200, 1274, 1335, 1384, 1427, 1522, 1423, 1386, 1335, 1275, 1199, 1133, 1087, 1063, 1059, 1069, 1104, 1159, 1240, 1316, 1369, 1402, 1493, 1407, 1375, 1318, 1256, 1172, 1107, 1060, 1041, 1035, 1048, 1077, 1135, 1211, 1291, 1354, 1391, 1478, 1390, 1365, 1313, 1239, 1153, 1089, 1047, 1029, 1028, 1033, 1065, 1116, 1193, 1278, 1342, 1382, 1475, 1384, 1364, 1308, 1231, 1146, 1082, 1040, 1025, 1024, 1030, 1057, 1110, 1183, 1269, 1337, 1379, 1475, 1384, 1372, 1309, 1233, 1152, 1086, 1046, 1024, 1024, 1032, 1061, 1113, 1187, 1268, 1337, 1379, 1479, 1395, 1370, 1317, 1249, 1171, 1102, 1058, 1035, 1029, 1047, 1073, 1130, 1200, 1278, 1341, 1388, 1491, 1420, 1383, 1336, 1265, 1195, 1129, 1078, 1059, 1053, 1065, 1102, 1155, 1227, 1301, 1348, 1405, 1505, 1452, 1396, 1356, 1295, 1234, 1166, 1116, 1092, 1084, 1103, 1139, 1195, 1262, 1321, 1364, 1420, 1547, 1517, 1414, 1375, 1324, 1269, 1214, 1165, 1138, 1132, 1148, 1188, 1239, 1291, 1336, 1387, 1446, 1604, 1587, 1471, 1383, 1354, 1309, 1257, 1216, 1192, 1187, 1209, 1241, 1277, 1330, 1366, 1384, 1498, 1682, 1689, 1543, 1427, 1381, 1344, 1303, 1265, 1250, 1251, 1266, 1284, 1326, 1353, 1369, 1447, 1566, 1790, 1754, 1632, 1469, 1391, 1353, 1317, 1292, 1282, 1278, 1294, 1306, 1321, 1347, 1382, 1477, 1650, 1854, ]
#800x600_F2_CWF_70 - F2_CWF
- ct: 4230
resolution: 800x600
r: [2065, 1886, 1745, 1661, 1619, 1574, 1532, 1504, 1498, 1499, 1533, 1586, 1628, 1689, 1770, 1942, 2140, 1978, 1796, 1688, 1627, 1565, 1501, 1446, 1424, 1407, 1419, 1460, 1525, 1583, 1642, 1712, 1829, 2032, 1880, 1732, 1643, 1579, 1499, 1418, 1356, 1319, 1300, 1320, 1372, 1443, 1536, 1598, 1661, 1763, 1923, 1812, 1689, 1608, 1535, 1429, 1335, 1267, 1223, 1210, 1234, 1284, 1362, 1461, 1547, 1634, 1715, 1848, 1755, 1664, 1579, 1600, 1362, 1262, 1188, 1145, 1132, 1156, 1211, 1289, 1403, 1504, 1604, 1688, 1791, 1726, 1635, 1548, 1433, 1298, 1199, 1126, 1084, 1080, 1101, 1147, 1226, 1340, 1468, 1586, 1659, 1752, 1707, 1624, 1522, 1393, 1256, 1155, 1085, 1054, 1043, 1059, 1111, 1187, 1302, 1435, 1566, 1645, 1732, 1695, 1605, 1508, 1367, 1230, 1132, 1066, 1034, 1028, 1042, 1084, 1160, 1275, 1418, 1549, 1634, 1722, 1681, 1604, 1498, 1360, 1222, 1121, 1058, 1027, 1024, 1034, 1075, 1151, 1264, 1407, 1543, 1633, 1723, 1691, 1609, 1498, 1361, 1231, 1130, 1064, 1037, 1027, 1043, 1083, 1162, 1275, 1413, 1545, 1638, 1714, 1692, 1612, 1515, 1385, 1258, 1153, 1087, 1051, 1045, 1064, 1109, 1185, 1295, 1437, 1560, 1645, 1741, 1712, 1627, 1538, 1417, 1298, 1199, 1124, 1087, 1075, 1101, 1146, 1231, 1342, 1472, 1574, 1665, 1754, 1743, 1637, 1572, 1466, 1357, 1253, 1181, 1142, 1131, 1154, 1207, 1295, 1401, 1515, 1601, 1687, 1789, 1807, 1661, 1597, 1525, 1425, 1328, 1257, 1215, 1208, 1230, 1282, 1363, 1459, 1555, 1800, 1714, 1857, 1871, 1711, 1631, 1573, 1491, 1407, 1343, 1307, 1298, 1323, 1368, 1440, 1528, 1601, 1649, 1767, 1932, 1982, 1788, 1675, 1617, 1559, 1489, 1433, 1406, 1405, 1425, 1457, 1516, 1581, 1623, 1713, 1836, 2044, 2041, 1885, 1730, 1646, 1589, 1547, 1498, 1476, 1474, 1488, 1518, 1569, 1594, 1656, 1757, 1921, 2111, ]
gr: [1765, 1633, 1502, 1441, 1411, 1389, 1365, 1356, 1350, 1358, 1375, 1408, 1434, 1476, 1534, 1678, 1820, 1671, 1535, 1450, 1410, 1381, 1341, 1311, 1297, 1288, 1295, 1323, 1368, 1407, 1437, 1600, 1580, 1736, 1595, 1488, 1424, 1388, 1342, 1293, 1255, 1230, 1219, 1235, 1270, 1319, 1384, 1413, 1452, 1524, 1657, 1534, 1452, 1399, 1367, 1300, 1238, 1194, 1162, 1155, 1171, 1209, 1267, 1336, 1393, 1435, 1486, 1591, 1491, 1429, 1389, 1335, 1255, 1189, 1139, 1108, 1104, 1118, 1156, 1218, 1302, 1369, 1422, 1470, 1540, 1456, 1416, 1370, 1305, 1216, 1146, 1093, 1068, 1064, 1078, 1116, 1176, 1268, 1345, 1415, 1451, 1510, 1445, 1409, 1352, 1280, 1185, 1113, 1065, 1041, 1039, 1051, 1085, 1147, 1235, 1330, 1402, 1440, 1499, 1444, 1399, 1349, 1261, 1171, 1096, 1050, 1029, 1030, 1037, 1070, 1127, 1217, 1314, 1395, 1437, 1490, 1437, 1401, 1346, 1256, 1161, 1091, 1043, 1026, 1024, 1034, 1064, 1123, 1210, 1308, 1390, 1436, 1490, 1441, 1409, 1346, 1262, 1170, 1097, 1049, 1030, 1029, 1040, 1069, 1129, 1216, 1315, 1393, 1439, 1490, 1458, 1413, 1357, 1280, 1194, 1118, 1065, 1044, 1043, 1055, 1088, 1151, 1235, 1331, 1404, 1448, 1513, 1475, 1426, 1378, 1304, 1225, 1149, 1098, 1074, 1067, 1083, 1122, 1187, 1268, 1356, 1411, 1465, 1530, 1505, 1439, 1402, 1339, 1268, 1197, 1144, 1119, 1110, 1129, 1167, 1232, 1313, 1383, 1428, 1481, 1563, 1564, 1455, 1415, 1373, 1313, 1249, 1203, 1173, 1167, 1184, 1227, 1284, 1349, 1404, 1449, 1499, 1617, 1620, 1493, 1428, 1402, 1354, 1303, 1261, 1236, 1228, 1250, 1285, 1333, 1389, 1428, 1444, 1544, 1684, 1710, 1568, 1462, 1428, 1394, 1354, 1315, 800, 1298, 1317, 1337, 1381, 1411, 1428, 1491, 1594, 1774, 1755, 1632, 1496, 1430, 1395, 1370, 1330, 1328, 1322, 1331, 1348, 1378, 1392, 1426, 1503, 1657, 1810, ]
gb: [1773, 1627, 1500, 1438, 1403, 1382, 1352, 1341, 1336, 1344, 1365, 1404, 1435, 1476, 1545, 1692, 1839, 1672, 1540, 1450, 1406, 1376, 1332, 1298, 1282, 1274, 1284, 1312, 1363, 1405, 1440, 1483, 1594, 1751, 1608, 1494, 1426, 1391, 1341, 1284, 1247, 1219, 1207, 1224, 1263, 1318, 1388, 1423, 1460, 1542, 1678, 1545, 1463, 1407, 1368, 1298, 1235, 1188, 1153, 1148, 1163, 1207, 1268, 1345, 1402, 1450, 1506, 1613, 1499, 1442, 1399, 1342, 1259, 1187, 1135, 1103, 1096, 1116, 1157, 1222, 1310, 1382, 1436, 1489, 1564, 1475, 1434, 1382, 1315, 1221, 1145, 1093, 1065, 1061, 1076, 1115, 1182, 1278, 1364, 1431, 1474, 1541, 1461, 1425, 1368, 1290, 1193, 1118, 1064, 1041, 1037, 1050, 1090, 1154, 1246, 1346, 1420, 1466, 1525, 1463, 1416, 1363, 1273, 1178, 1097, 1051, 1030, 1029, 1039, 1073, 1136, 1232, 1332, 1414, 1460, 1519, 1452, 1420, 1357, 1268, 1172, 1094, 1045, 1026, 1024, 1034, 1067, 1131, 1223, 1324, 1409, 1458, 1521, 1460, 1420, 1359, 1271, 1175, 1099, 1048, 1029, 1027, 1038, 1072, 1136, 1227, 1330, 1412, 1458, 1524, 1467, 1424, 1368, 1289, 1197, 1117, 1063, 1040, 1038, 1053, 1089, 1156, 1246, 1345, 1415, 1470, 1538, 1486, 1437, 1384, 1309, 1224, 1146, 1091, 1067, 1063, 1077, 1118, 1187, 1278, 1367, 1425, 1600, 1553, 1519, 1445, 1408, 1342, 1266, 1192, 1136, 1106, 1102, 1119, 1161, 1230, 1316, 1389, 1438, 1495, 1583, 1567, 1460, 1420, 1374, 1310, 1241, 1189, 1158, 1152, 1173, 1214, 1278, 1348, 1410, 1456, 1511, 1634, 1624, 1498, 1427, 1400, 1346, 1294, 1244, 1219, 1210, 1232, 1271, 1321, 1384, 1430, 1448, 1557, 1697, 1719, 1560, 1458, 1421, 1381, 1338, 1298, 1274, 1275, 1292, 1318, 1365, 1404, 1424, 1489, 1601, 1785, 1751, 1637, 1497, 1429, 1389, 1361, 1323, 1311, 1309, 1318, 1339, 1374, 1388, 1429, 1513, 1674, 1829, ]
b: [1800, 1643, 1486, 1416, 1376, 1354, 1329, 1318, 1309, 1310, 1331, 1359, 1390, 1444, 1533, 1708, 1846, 1664, 1510, 1400, 1351, 1324, 1286, 1260, 1246, 1235, 1244, 1266, 1306, 1341, 1373, 1441, 1556, 1734, 1557, 1441, 1360, 1322, 1282, 1242, 1211, 1188, 1180, 1186, 1220, 1258, 1309, 1346, 1391, 1475, 1626, 1484, 1400, 1331, 1300, 1247, 1202, 1163, 1135, 1127, 1143, 1170, 1215, 1274, 1315, 1365, 1417, 1555, 1422, 1368, 1316, 1270, 1209, 1158, 1117, 1088, 1084, 1094, 1130, 1174, 1240, 800, 1343, 1389, 1497, 1383, 1351, 1299, 1247, 1177, 1122, 1081, 1057, 1051, 1067, 1094, 1142, 1209, 1274, 1329, 1362, 1461, 1367, 1333, 1284, 1224, 1153, 1098, 1056, 1040, 1035, 1042, 1070, 1118, 1186, 1255, 1314, 1349, 1441, 1355, 1327, 1275, 1209, 1137, 1082, 1044, 1029, 1026, 1034, 1056, 1100, 1166, 1241, 1302, 1341, 1439, 1343, 1325, 1270, 1201, 1130, 1075, 1037, 1024, 1026, 1030, 1050, 1094, 1160, 1231, 1295, 1334, 1434, 1347, 1330, 1274, 1203, 1135, 1079, 1040, 1026, 1024, 1031, 1054, 1097, 1161, 1231, 1292, 1338, 1433, 1358, 1330, 1280, 1219, 1152, 1093, 1051, 1032, 1030, 1043, 1067, 1115, 1173, 1237, 1298, 1348, 1447, 1382, 1342, 1298, 1236, 1174, 1115, 1071, 1051, 1044, 1060, 1088, 1138, 1197, 1259, 1301, 1365, 1464, 1410, 1360, 1314, 1259, 1205, 1149, 1104, 1079, 1075, 1090, 1123, 1171, 1227, 1277, 1315, 1387, 1508, 1476, 1376, 1330, 1287, 1238, 1188, 1144, 1122, 1115, 1132, 1165, 1206, 1249, 1294, 1344, 1402, 1567, 1548, 1431, 1348, 1314, 1271, 1224, 1190, 1168, 1163, 1182, 1210, 1246, 1286, 1318, 1344, 1462, 1650, 1658, 1510, 1386, 1342, 1305, 1268, 1232, 1220, 1221, 1236, 1250, 1283, 1311, 1328, 1406, 1530, 1755, 1698, 1587, 1431, 1350, 1304, 1274, 1244, 1238, 1239, 1245, 1262, 1283, 1293, 1339, 1439, 1608, 1825, ]
#800x600_D50_70 - D50
- ct: 5003
resolution: 800x600
r: [2543, 2578, 2509, 2438, 2318, 2233, 2133, 2085, 2088, 2130, 2245, 2390, 2533, 2674, 2811, 2910, 2790, 2536, 2518, 2407, 2309, 2153, 2048, 1910, 1861, 1865, 1921, 2013, 2160, 2340, 2523, 2664, 2836, 2882, 2501, 2408, 2276, 2127, 1951, 1804, 1701, 1655, 1635, 1674, 1771, 1939, 2141, 2356, 2565, 2701, 2839, 2403, 2314, 2154, 1963, 1779, 1618, 1511, 1447, 1433, 1470, 1554, 1714, 1920, 2196, 2430, 2589, 2694, 2352, 2232, 2049, 1828, 1635, 1472, 1357, 1295, 1274, 1317, 1399, 1543, 1785, 2021, 2302, 2494, 2688, 2254, 2143, 1936, 1720, 1509, 1345, 1237, 1168, 1158, 1188, 1271, 1420, 1614, 1894, 2190, 2443, 2592, 2210, 2085, 1870, 1630, 1432, 1264, 1161, 1090, 1079, 1102, 1184, 1329, 1525, 1797, 2112, 2377, 2587, 2224, 2063, 1822, 1598, 1381, 1217, 1121, 1045, 1031, 1063, 1129, 1270, 1481, 1749, 2059, 2344, 2559, 2234, 2083, 1812, 1592, 1381, 1215, 1102, 1046, 1024, 1053, 1122, 1257, 1466, 1734, 2045, 2338, 2530, 2224, 2063, 1856, 1610, 1407, 1237, 1126, 1063, 1044, 1072, 1145, 1288, 1485, 1764, 2059, 2344, 2539, 2273, 2135, 1906, 1675, 1470, 1299, 1187, 1112, 1094, 1120, 1208, 1348, 1546, 1828, 2124, 2377, 2566, 2321, 2197, 1986, 1779, 1563, 1402, 1271, 1209, 1192, 1221, 1313, 1461, 1664, 1929, 2203, 2460, 2659, 2371, 2292, 2119, 1906, 1700, 1538, 1407, 1335, 1321, 1366, 1447, 1593, 1800, 2062, 2331, 2570, 2737, 2485, 2382, 2262, 2078, 1876, 1721, 1587, 1525, 1504, 1545, 1633, 1785, 1985, 2246, 2464, 2631, 2799, 2621, 2465, 2387, 2243, 2063, 1912, 1801, 1734, 1705, 1755, 1848, 2005, 2213, 2417, 2584, 2773, 2900, 2757, 2632, 2519, 2419, 2283, 2160, 2044, 1976, 1979, 2024, 2107, 2272, 2430, 2578, 2731, 2921, 2984, 2724, 2762, 2663, 2570, 2413, 2331, 2245, 2227, 2242, 2278, 2369, 2486, 2647, 2763, 2864, 3041, 2860, ]
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gb: [2166, 2183, 2106, 2056, 1961, 1889, 1800, 1772, 1760, 1791, 1821, 1907, 1948, 2040, 2115, 2205, 2191, 2197, 2125, 2062, 1973, 1862, 1758, 1680, 1620, 1612, 1636, 1693, 1758, 1851, 1953, 2031, 2125, 2174, 2125, 2067, 1974, 1852, 1719, 1621, 1532, 1477, 1465, 1480, 1535, 1605, 1724, 1852, 1967, 2050, 2156, 2107, 2015, 1893, 1738, 1608, 1485, 1406, 1337, 1319, 1337, 1382, 1476, 1589, 1733, 1869, 1985, 2070, 2037, 1948, 1806, 1641, 1501, 1377, 1287, 1227, 1215, 1227, 1274, 1364, 1485, 1645, 1806, 1928, 2028, 1981, 1887, 1728, 1564, 1409, 1285, 1199, 1145, 1125, 1135, 1183, 1270, 1395, 1560, 1733, 1868, 1974, 1965, 1841, 1670, 1509, 1349, 1221, 1138, 1084, 1065, 1073, 1121, 1208, 1332, 1496, 1670, 1835, 1958, 1948, 1818, 1642, 1467, 1315, 1185, 1099, 1052, 1035, 1042, 1084, 1163, 1292, 1458, 1638, 1812, 1948, 1942, 1809, 1635, 1467, 1296, 1178, 1094, 1039, 1024, 1038, 1073, 1157, 1285, 1451, 1640, 1803, 1935, 1948, 1812, 1646, 1483, 1317, 1196, 1107, 1057, 1043, 1053, 1090, 1183, 1296, 1464, 1650, 1818, 1941, 1965, 1841, 1687, 1519, 1362, 1243, 1145, 1094, 1075, 1088, 1137, 1225, 1339, 1512, 1692, 1835, 1988, 1981, 1893, 1738, 1586, 1435, 1314, 1218, 1160, 1143, 1158, 1212, 1294, 1418, 1578, 1742, 1887, 2005, 2037, 1948, 1838, 1674, 1527, 1398, 1309, 1251, 1236, 1253, 1305, 1385, 1514, 1674, 1816, 1934, 2062, 2098, 2015, 1899, 1791, 1656, 1530, 1430, 1379, 1360, 1379, 1428, 1517, 1639, 1781, 1893, 2015, 2117, 2199, 2075, 1988, 1910, 1776, 1664, 1583, 1518, 1502, 1525, 1576, 1668, 1776, 1898, 1981, 2084, 2221, 2269, 2204, 2103, 2021, 1921, 1827, 1751, 1676, 1671, 1693, 1755, 1843, 1927, 2007, 2095, 2224, 2294, 2285, 2285, 2190, 2112, 2009, 1956, 1909, 1853, 1845, 1864, 1921, 1995, 2058, 2137, 2199, 2308, 2231, ]
b: [2007, 2014, 1951, 1922, 1856, 1794, 1746, 1720, 1718, 1747, 1818, 1865, 1956, 2026, 2146, 2219, 2251, 2020, 1954, 1914, 1840, 1745, 1673, 1626, 1592, 1586, 1613, 1674, 1732, 1851, 1938, 2030, 2131, 2207, 1927, 1878, 1807, 1732, 1628, 1548, 1486, 1461, 1440, 1465, 1519, 1601, 1715, 1846, 1943, 2018, 2141, 1863, 1826, 1730, 1633, 1515, 1436, 1369, 1326, 1318, 1337, 1399, 1479, 1598, 1729, 1865, 1962, 2051, 1840, 1751, 1653, 1541, 1426, 1333, 1265, 1217, 1214, 1223, 1281, 1373, 1493, 1641, 1794, 1908, 2015, 1803, 1695, 1587, 1462, 1347, 1245, 1173, 1139, 1122, 1139, 1197, 1288, 1404, 1555, 1712, 1845, 1987, 1781, 1659, 1544, 1402, 1284, 1186, 1117, 1075, 1065, 1088, 1131, 1214, 1342, 1504, 1667, 1808, 1945, 1753, 1639, 1509, 1376, 1253, 1152, 1083, 1045, 1040, 1051, 1094, 1177, 1307, 1464, 1630, 1782, 1939, 1752, 1626, 1510, 1370, 1248, 1141, 1076, 1037, 1024, 1043, 1087, 1163, 1299, 1452, 1631, 1789, 1927, 1761, 1639, 1509, 1384, 1259, 1157, 1088, 1049, 1036, 1061, 1103, 1190, 1321, 1469, 1648, 1806, 1939, 1772, 1673, 1550, 1423, 1304, 1194, 1124, 1088, 1073, 1094, 1143, 1231, 1353, 1508, 1673, 1816, 1955, 1794, 1709, 1599, 1495, 1373, 1269, 1191, 1149, 1129, 1159, 1210, 1298, 1429, 1571, 1726, 1854, 2010, 1840, 1759, 1679, 1567, 1448, 1358, 1284, 1234, 1228, 1249, 1306, 1392, 1507, 1647, 1794, 1917, 2076, 1929, 1835, 1760, 1670, 1565, 1470, 1388, 1351, 1335, 1362, 1423, 1511, 1609, 1743, 1865, 1983, 2145, 2028, 1898, 1841, 1761, 1670, 1590, 1519, 1483, 1475, 1505, 1563, 1640, 1749, 1862, 1943, 2078, 2218, 2109, 2014, 1944, 1883, 1812, 1745, 1674, 1630, 1635, 1665, 1717, 1801, 1884, 1967, 2064, 2188, 2295, 2157, 2126, 2020, 1952, 1891, 1833, 1781, 1761, 1773, 1803, 1857, 1943, 2005, 2026, 2159, 2268, 2251, ]
...
|
0 | repos/libcamera/src/ipa/rkisp1 | repos/libcamera/src/ipa/rkisp1/data/ov5695.yaml | # SPDX-License-Identifier: CC0-1.0
%YAML 1.1
---
version: 1
algorithms:
- Agc:
- Awb:
- LensShadingCorrection:
x-size: [ 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625 ]
y-size: [ 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625 ]
sets:
#2592x1944_A_70 - A
- ct: 2856
resolution: 2592x1944
r: [2312, 2874, 2965, 2789, 2603, 2424, 2288, 2176, 2151, 2176, 2240, 2345, 2520, 2736, 2856, 2825, 2272, 2675, 3026, 2925, 2693, 2443, 2247, 2074, 1992, 1947, 1972, 2066, 2211, 2386, 2618, 2847, 2953, 2698, 2927, 3008, 2846, 2541, 2272, 2037, 1867, 1782, 1740, 1762, 1855, 1981, 2198, 2454, 2711, 2963, 2927, 2974, 2920, 2664, 2337, 2061, 1822, 1648, 1550, 1503, 1550, 1648, 1794, 1982, 2257, 2565, 2805, 2880, 2933, 2799, 2472, 2161, 1880, 1631, 1457, 1361, 1328, 1364, 1448, 1602, 1817, 2087, 2390, 2698, 2911, 2947, 2734, 2404, 2061, 1759, 1525, 1340, 1244, 1209, 1240, 1343, 1473, 1701, 1975, 2278, 2641, 2823, 2948, 2680, 2342, 1979, 1667, 1425, 1259, 1159, 1125, 1159, 1238, 1407, 1633, 1914, 2235, 2592, 2866, 2936, 2661, 2276, 1908, 1624, 1368, 1190, 1097, 1058, 1086, 1178, 1341, 1556, 1848, 2175, 2509, 2763, 2873, 2603, 2230, 1868, 1578, 1320, 1157, 1058, 1024, 1053, 1142, 1302, 1521, 1789, 2125, 2471, 2760, 2896, 2661, 2276, 1914, 1591, 1349, 1176, 1083, 1044, 1080, 1166, 1327, 1544, 1814, 2141, 2509, 2763, 2969, 2710, 2342, 1985, 1676, 1431, 1250, 1146, 1105, 1140, 1234, 1392, 1616, 1895, 2235, 2578, 2847, 3060, 2800, 2426, 2076, 1764, 1518, 1335, 1227, 1197, 1227, 1314, 1486, 1696, 1989, 2298, 2641, 2863, 2978, 2853, 2496, 2169, 1880, 1631, 1457, 1345, 1304, 1334, 1429, 1586, 1811, 2064, 2378, 2698, 2867, 3024, 2960, 2664, 2327, 2054, 1811, 1626, 1517, 1490, 1514, 1597, 1763, 1962, 2229, 2538, 2768, 2926, 3032, 3077, 2864, 2554, 2272, 2052, 1861, 1747, 1716, 1742, 1816, 1995, 2190, 2454, 2727, 2920, 2927, 2849, 3155, 3008, 2772, 2490, 2276, 2121, 2006, 1954, 1978, 2066, 2202, 2408, 2648, 2847, 2977, 2797, 2440, 3116, 3132, 2900, 2738, 2509, 2329, 2239, 2194, 2230, 2298, 2436, 2617, 2825, 2965, 2899, 2312, ]
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#2592x1944_D65_70 - D65
- ct: 6504
resolution: 2592x1944
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#2592x1944_F2_CWF_70 - F2_CWF
- ct: 4230
resolution: 2592x1944
r: [2512, 2860, 2753, 2554, 2376, 2198, 2033, 1949, 1924, 1921, 2012, 2100, 2257, 2461, 2682, 2775, 2436, 2753, 2915, 2713, 2415, 2193, 2004, 1869, 1790, 1755, 1774, 1844, 1945, 2108, 2306, 2547, 2755, 2697, 2849, 2810, 2526, 2247, 2018, 1821, 1692, 1608, 1577, 1591, 1653, 1775, 1921, 2132, 2371, 2625, 2765, 2881, 2679, 2376, 2077, 1853, 1677, 1542, 1449, 1412, 1430, 1511, 1615, 1781, 1983, 2258, 2517, 2722, 2832, 2589, 2237, 1977, 1718, 1527, 1403, 1319, 1290, 1307, 1370, 1491, 1658, 1850, 2112, 2408, 2708, 2718, 2474, 2154, 1861, 1616, 1439, 1293, 1211, 1176, 1205, 1275, 1390, 1553, 1773, 2008, 2313, 2607, 2661, 2388, 2066, 1781, 1535, 1359, 1207, 1130, 1098, 1117, 1192, 1313, 1474, 1688, 1934, 2240, 2537, 2672, 2353, 2024, 1733, 1494, 1296, 1162, 1075, 1045, 1064, 1146, 1261, 1422, 1640, 1889, 2197, 2528, 2599, 2332, 1991, 1718, 1484, 1276, 1139, 1051, 1024, 1051, 1117, 1245, 1409, 1620, 1861, 2179, 2481, 2651, 2338, 2004, 1719, 1479, 1289, 1146, 1066, 1034, 1055, 1127, 1248, 1413, 1633, 1872, 2184, 2471, 2640, 2372, 2045, 1751, 1514, 1324, 1189, 1107, 1064, 1097, 1163, 1280, 1455, 1661, 1915, 2226, 2498, 2672, 2457, 2107, 1820, 1587, 1390, 1248, 1170, 1132, 1155, 1235, 1353, 1510, 1729, 1967, 2268, 2544, 2781, 2532, 2198, 1920, 1678, 1486, 1349, 1251, 1225, 1251, 1326, 1438, 1602, 1800, 2043, 2343, 2616, 2826, 2637, 2330, 2024, 1796, 1609, 1480, 1391, 1365, 1370, 1442, 1556, 1714, 1915, 2190, 2461, 2673, 2820, 2738, 2472, 2182, 1949, 1760, 1640, 1545, 1517, 1524, 1591, 1716, 1867, 2073, 2308, 2561, 2686, 2782, 2806, 2648, 2352, 2132, 1926, 1819, 1716, 1678, 1702, 1757, 1872, 2029, 2234, 2434, 2611, 2617, 2538, 2919, 2777, 2554, 2345, 2148, 2012, 1940, 1896, 1930, 1961, 2065, 2243, 2426, 2592, 2669, 2461, ]
gr: [2065, 2350, 2320, 2148, 2002, 1877, 1794, 1730, 1709, 1712, 1754, 1837, 1948, 2082, 2217, 2291, 2054, 2263, 2359, 2204, 2022, 1860, 1735, 1639, 1583, 1560, 1576, 1619, 1694, 1805, 1967, 2126, 2281, 2228, 2353, 2294, 2112, 1897, 1724, 1615, 1525, 1460, 1441, 1448, 1499, 1581, 1684, 1829, 2000, 2187, 2305, 2354, 2194, 1994, 1785, 1626, 1493, 1406, 1349, 1323, 1342, 1384, 1468, 1576, 1722, 1909, 2100, 2265, 2281, 2126, 1894, 1708, 1539, 1409, 1310, 1253, 1225, 1240, 1291, 1377, 1486, 1639, 1821, 2019, 2220, 2257, 2059, 1819, 1622, 1464, 1337, 1233, 1168, 1144, 1161, 1219, 1302, 1420, 1576, 1733, 1934, 2180, 2189, 1991, 1759, 1578, 1407, 1280, 1164, 1107, 1085, 1100, 1157, 1242, 1359, 1514, 1685, 1894, 2110, 2153, 1954, 1726, 1537, 1365, 1229, 1129, 1066, 1039, 1057, 1114, 1202, 1327, 1471, 1638, 1850, 2094, 2153, 1948, 1718, 1522, 1352, 1217, 1114, 1047, 1024, 1038, 1100, 1187, 1310, 1467, 1627, 1851, 2078, 2162, 1947, 1716, 1527, 1367, 1225, 1125, 1054, 1031, 1045, 1106, 1198, 1320, 1465, 1638, 1861, 2094, 2180, 1964, 1731, 1545, 1383, 1252, 1145, 1085, 1057, 1070, 1131, 1223, 1341, 1488, 1658, 1852, 2077, 2199, 2002, 1787, 1584, 1429, 1297, 1194, 1131, 1109, 1124, 1181, 1266, 1384, 1523, 1695, 1908, 2118, 2260, 2071, 1843, 1651, 1502, 1364, 1265, 1203, 1181, 1197, 1244, 1331, 1451, 1579, 1763, 1969, 2153, 2276, 2150, 1922, 1736, 1573, 1453, 1355, 1296, 1275, 1285, 1335, 1417, 1526, 1663, 1849, 2052, 2203, 2294, 2205, 2029, 1834, 1666, 1548, 1461, 1399, 1372, 1390, 1431, 1513, 1620, 1760, 1931, 2115, 2237, 2228, 2271, 2126, 1934, 1784, 1650, 1577, 1512, 1485, 1506, 1547, 1625, 1729, 1872, 2029, 2189, 2160, 2033, 2326, 2227, 2106, 1935, 1815, 1721, 1671, 1627, 1654, 1688, 1768, 1885, 2021, 2160, 2245, 2022, ]
gb: [2062, 2335, 2286, 2148, 1975, 1850, 1776, 1709, 1688, 1709, 1761, 1822, 1943, 2082, 2226, 2300, 2062, 2272, 2345, 2186, 2016, 1856, 1728, 1637, 1579, 1556, 1564, 1610, 1691, 1807, 1961, 2126, 2280, 2237, 2338, 2293, 2081, 1893, 1731, 1594, 1501, 1444, 1424, 1441, 1485, 1572, 1677, 1830, 2022, 2195, 2303, 2352, 2212, 1988, 1782, 1625, 1499, 1400, 1342, 1318, 1335, 1379, 1468, 1579, 1728, 1898, 2116, 2274, 2311, 2127, 1896, 1701, 1538, 1404, 1308, 1249, 1218, 1243, 1290, 1382, 1491, 1641, 1828, 2041, 2249, 2256, 2060, 1820, 1637, 1476, 1335, 1234, 1166, 1147, 1159, 1220, 1302, 1428, 1586, 1754, 1968, 2198, 2225, 2013, 1781, 1584, 1421, 1281, 1166, 1101, 1082, 1105, 1158, 1246, 1372, 1524, 1696, 1914, 2144, 2179, 1961, 1742, 1546, 1378, 1232, 1136, 1064, 1042, 1061, 1118, 1208, 1335, 1489, 1661, 1875, 2110, 2179, 1962, 1734, 1538, 1367, 1224, 1117, 1051, 1024, 1046, 1106, 1195, 1322, 1479, 1658, 1876, 2094, 2179, 1988, 1742, 1543, 1375, 1232, 1128, 1060, 1030, 1050, 1110, 1208, 1330, 1486, 1652, 1881, 2127, 2197, 2006, 1761, 1562, 1396, 1255, 1152, 1086, 1063, 1077, 1137, 1232, 1354, 1504, 1682, 1902, 2135, 2236, 2031, 1810, 1605, 1449, 1311, 1200, 1137, 1110, 1130, 1185, 1275, 1389, 1539, 1720, 1922, 2161, 2290, 2103, 1873, 1675, 1504, 1379, 1276, 1211, 1184, 1202, 1251, 1339, 1460, 1593, 1785, 1983, 2180, 2329, 2176, 1961, 1752, 1598, 1471, 1366, 1308, 1279, 1292, 1348, 1432, 1535, 1682, 1874, 2068, 2222, 2338, 2253, 2059, 1852, 1686, 1565, 1473, 1410, 1385, 1393, 1445, 1522, 1639, 1782, 1959, 2132, 2257, 2272, 2312, 2160, 1961, 1802, 1674, 1587, 1525, 1497, 1508, 1557, 1644, 1741, 1897, 2045, 2197, 2202, 2095, 2335, 2276, 2098, 1969, 1828, 1732, 1669, 1641, 1656, 1699, 1785, 1886, 2036, 2188, 2254, 2030, ]
b: [1957, 2184, 2113, 2000, 1876, 1757, 1686, 1620, 1614, 1596, 1649, 1687, 1805, 1914, 2027, 2082, 1880, 2101, 2170, 2056, 1894, 1763, 1659, 1571, 1527, 1501, 1506, 1541, 1608, 1694, 1809, 1964, 2094, 2040, 2156, 2121, 1964, 1796, 1654, 1563, 1485, 1419, 1399, 1407, 1447, 1499, 1587, 1724, 1859, 2019, 2076, 2184, 2063, 1888, 1705, 1586, 1470, 1383, 1330, 1299, 1315, 1352, 1421, 1513, 1633, 1794, 1956, 2125, 2153, 2012, 1821, 1660, 1511, 1395, 1302, 1241, 1219, 1232, 1275, 1352, 1453, 1570, 1726, 1914, 2080, 2106, 1953, 1751, 1601, 1462, 1333, 1235, 1171, 1142, 1156, 1207, 1285, 1403, 1520, 1656, 1838, 2038, 2081, 1885, 1704, 1553, 1398, 1266, 1166, 1101, 1079, 1097, 1151, 1240, 1340, 1471, 1616, 1780, 1970, 2041, 1882, 1686, 1513, 1364, 1235, 1125, 1065, 1037, 1054, 1108, 1196, 1299, 1429, 1576, 1756, 1935, 2049, 1853, 1665, 1504, 1363, 1227, 1118, 1049, 1024, 1035, 1099, 1188, 1298, 1434, 1582, 1752, 1929, 2073, 1870, 1677, 1520, 1364, 1240, 1131, 1057, 1037, 1048, 1102, 1188, 1308, 1442, 1600, 1756, 1921, 2048, 1885, 1695, 1525, 1387, 1248, 1148, 1085, 1064, 1076, 1131, 1215, 1325, 1458, 1591, 1780, 1926, 2089, 1926, 1731, 1563, 1432, 1304, 1191, 1132, 1112, 1129, 1172, 1258, 1359, 1492, 1647, 1814, 1975, 2115, 1983, 1799, 1626, 1491, 1368, 1270, 1212, 1188, 1204, 1249, 1322, 1416, 1548, 1697, 1874, 2045, 2164, 2047, 1888, 1705, 1571, 1451, 1357, 1296, 1276, 1291, 1336, 1404, 1499, 1616, 1772, 1956, 2069, 2177, 2139, 1964, 1785, 1654, 1549, 1459, 1402, 1376, 1385, 1423, 1493, 1587, 1704, 1847, 2003, 2057, 2144, 2190, 2056, 1906, 1753, 1642, 1556, 1506, 1488, 1485, 1534, 1592, 1684, 1809, 1935, 2076, 2081, 1997, 2228, 2150, 2030, 1888, 1799, 1704, 1637, 1631, 1629, 1667, 1716, 1816, 1914, 2043, 2122, 1917, ]
#2592x1944_D50_70 - D50
- ct: 5003
resolution: 2592x1944
r: [2445, 2929, 2967, 2734, 2576, 2380, 2211, 2113, 2074, 2072, 2166, 2255, 2383, 2626, 2861, 2812, 2411, 2795, 3067, 2915, 2660, 2369, 2162, 2038, 1940, 1900, 1919, 1978, 2106, 2281, 2519, 2702, 2875, 2718, 2953, 3006, 2761, 2452, 2197, 1964, 1815, 1720, 1676, 1712, 1769, 1899, 2070, 2268, 2581, 2739, 2798, 3022, 2895, 2570, 2275, 2011, 1793, 1619, 1512, 1486, 1506, 1577, 1740, 1898, 2123, 2420, 2659, 2869, 2939, 2776, 2457, 2132, 1863, 1619, 1479, 1366, 1332, 1356, 1435, 1571, 1769, 1978, 2272, 2543, 2736, 2905, 2703, 2360, 2023, 1747, 1516, 1355, 1247, 1214, 1243, 1332, 1457, 1651, 1898, 2194, 2488, 2714, 2945, 2615, 2257, 1937, 1653, 1419, 1242, 1151, 1117, 1138, 1219, 1374, 1575, 1795, 2080, 2417, 2695, 2795, 2558, 2207, 1875, 1586, 1350, 1182, 1089, 1046, 1084, 1158, 1305, 1497, 1736, 2027, 2351, 2624, 2840, 2547, 2201, 1863, 1566, 1323, 1172, 1068, 1024, 1057, 1142, 1288, 1484, 1725, 2010, 2343, 2584, 2857, 2580, 2222, 1875, 1573, 1355, 1182, 1086, 1046, 1072, 1151, 1301, 1509, 1762, 2052, 2371, 2707, 2912, 2615, 2257, 1904, 1631, 1389, 1227, 1129, 1090, 1122, 1197, 1331, 1529, 1777, 2040, 2397, 2639, 2905, 2628, 2290, 1987, 1698, 1457, 1296, 1202, 1154, 1181, 1259, 1398, 1607, 1826, 2119, 2466, 2684, 2939, 2748, 2399, 2078, 1796, 1584, 1424, 1310, 1276, 1297, 1377, 1519, 1708, 1943, 2222, 2543, 2736, 2982, 2863, 2570, 2243, 1964, 1740, 1570, 1470, 1435, 1448, 1537, 1683, 1856, 2094, 2342, 2632, 2798, 3037, 2970, 2681, 2413, 2111, 1920, 1769, 1672, 1616, 1634, 1709, 1847, 2019, 2234, 2488, 2709, 2835, 2836, 3026, 2851, 2611, 2315, 2106, 1932, 1836, 1801, 1807, 1899, 2027, 2199, 2392, 2620, 2805, 2644, 2515, 3013, 2967, 2792, 2553, 2343, 2181, 2046, 2035, 2033, 2108, 2239, 2444, 2575, 2731, 2812, 2411, ]
gr: [1764, 2120, 2133, 2015, 1886, 1783, 1704, 1644, 1626, 1631, 1666, 1739, 1792, 1938, 2020, 2014, 1727, 1988, 2163, 2079, 1945, 1797, 1681, 1595, 1551, 1526, 1533, 1567, 1619, 1707, 1833, 1963, 2052, 1936, 2115, 2119, 1964, 1824, 1676, 1555, 1486, 1428, 1406, 1425, 1447, 1526, 1623, 1720, 1866, 2001, 2030, 2142, 2062, 1902, 1716, 1580, 1465, 1376, 1321, 1301, 1314, 1355, 1428, 1513, 1645, 1791, 1941, 2022, 2104, 1988, 1816, 1663, 1515, 1388, 1294, 1235, 1215, 1225, 1271, 1350, 1449, 1571, 1719, 1880, 2028, 2113, 1963, 1766, 1588, 1445, 1325, 1231, 1168, 1142, 1155, 1213, 1284, 1392, 1517, 1662, 1835, 1980, 2065, 1897, 1712, 1544, 1394, 1268, 1163, 1105, 1080, 1097, 1147, 1225, 1348, 1464, 1603, 1780, 1948, 2044, 1877, 1672, 1512, 1355, 1223, 1127, 1057, 1038, 1052, 1107, 1193, 1312, 1437, 1593, 1741, 1931, 2004, 1873, 1674, 1501, 1350, 1211, 1113, 1048, 1024, 1038, 1095, 1180, 1301, 1424, 1571, 1738, 1895, 2027, 1871, 1681, 1506, 1361, 1227, 1123, 1064, 1035, 1057, 1104, 1189, 1310, 1440, 1573, 1758, 1916, 2048, 1884, 1707, 1526, 1374, 1248, 1154, 1087, 1069, 1073, 1128, 1205, 1317, 1455, 1590, 1757, 1925, 2031, 1907, 1720, 1557, 1406, 1289, 1193, 1129, 1104, 1116, 1170, 1244, 1348, 1478, 1621, 1792, 1947, 2075, 1973, 1777, 1615, 1465, 1355, 1269, 1195, 1176, 1184, 1234, 1302, 1412, 1532, 1669, 1826, 1975, 2100, 2028, 1870, 1687, 1542, 1443, 1352, 1294, 1264, 1278, 1324, 1393, 1492, 1602, 1757, 1911, 2031, 2093, 2054, 1935, 1763, 1631, 1529, 1441, 1393, 1361, 1371, 1419, 1480, 1569, 1690, 1827, 1960, 2020, 1957, 2091, 1979, 1864, 1722, 1619, 1529, 1484, 1458, 1471, 1497, 1557, 1654, 1761, 1918, 2005, 1907, 1783, 2076, 2094, 1938, 1829, 1729, 1657, 1592, 1571, 1572, 1616, 1664, 1769, 1880, 1968, 1994, 1718, ]
gb: [1771, 2117, 2122, 1999, 1887, 1768, 1691, 1633, 1619, 1633, 1668, 1736, 1836, 1923, 2010, 2002, 1734, 2040, 2161, 2070, 1925, 1777, 1678, 1601, 1532, 1528, 1518, 1562, 1625, 1724, 1840, 1956, 2079, 1954, 2091, 2109, 1965, 1826, 1669, 1561, 1472, 1419, 1400, 1422, 1450, 1521, 1608, 1732, 1867, 2001, 2028, 2151, 2053, 1877, 1718, 1579, 1465, 1379, 1319, 1296, 1309, 1350, 1428, 1530, 1647, 1792, 1934, 2030, 2112, 2003, 1824, 1656, 1511, 1388, 1296, 1240, 1206, 1228, 1271, 1347, 1458, 1577, 1725, 1894, 2018, 2112, 1978, 1778, 1602, 1451, 1325, 1231, 1165, 1141, 1154, 1207, 1292, 1397, 1530, 1687, 1849, 2030, 2056, 1911, 1723, 1554, 1396, 1271, 1165, 1103, 1077, 1100, 1148, 1236, 1343, 1477, 1626, 1798, 1972, 2027, 1885, 1692, 1522, 1358, 1225, 1126, 1068, 1038, 1055, 1105, 1194, 1313, 1443, 1583, 1771, 1931, 2037, 1868, 1690, 1514, 1355, 1216, 1116, 1053, 1024, 1046, 1096, 1191, 1306, 1433, 1586, 1762, 1925, 2061, 1891, 1688, 1522, 1363, 1236, 1128, 1067, 1037, 1059, 1110, 1196, 1318, 1439, 1596, 1765, 1977, 2056, 1898, 1709, 1535, 1391, 1264, 1157, 1089, 1069, 1076, 1131, 1216, 1335, 1467, 1596, 1775, 1948, 2048, 1929, 1737, 1567, 1427, 1294, 1198, 1130, 1106, 1120, 1168, 1260, 1353, 1491, 1641, 1811, 1963, 2112, 1988, 1795, 1626, 1484, 1374, 1274, 1198, 1174, 1190, 1237, 1317, 1427, 1538, 1695, 1840, 2000, 2140, 2045, 1877, 1708, 1567, 1443, 1360, 1304, 1267, 1288, 1337, 1398, 1491, 1621, 1781, 1919, 2039, 2112, 2109, 1936, 1792, 1633, 1539, 1450, 1396, 1377, 1376, 1422, 1496, 1579, 1697, 1835, 1976, 2028, 2029, 2089, 2028, 1884, 1734, 1638, 1543, 1490, 1460, 1466, 1514, 1579, 1670, 1774, 1910, 2013, 1904, 1790, 2117, 2065, 1961, 1854, 1752, 1672, 1616, 1590, 1599, 1623, 1700, 1782, 1867, 1984, 2022, 1698, ]
b: [1676, 1930, 1956, 1924, 1811, 1685, 1640, 1571, 1556, 1544, 1569, 1639, 1710, 1802, 1890, 1881, 1642, 1930, 2013, 1952, 1827, 1711, 1616, 1538, 1488, 1472, 1470, 1494, 1560, 1632, 1724, 1825, 1906, 1803, 1985, 2007, 1894, 1759, 1625, 1524, 1440, 1401, 1380, 1385, 1411, 1463, 1537, 1649, 1765, 1876, 1884, 1996, 1961, 1831, 1676, 1555, 1444, 1367, 1301, 1282, 1295, 1328, 1383, 1468, 1580, 1708, 1833, 1900, 2020, 1914, 1777, 1618, 1508, 1382, 1284, 1227, 1197, 1216, 1251, 1325, 1408, 1511, 1639, 1796, 1915, 1998, 1901, 1716, 1581, 1447, 1327, 1226, 1169, 1134, 1155, 1199, 1269, 1368, 1486, 1608, 1741, 1879, 1959, 1838, 1674, 1531, 1387, 1269, 1158, 1094, 1072, 1082, 1132, 1217, 1323, 1431, 1568, 1706, 1847, 1956, 1806, 1645, 1497, 1352, 1222, 1124, 1059, 1031, 1049, 1093, 1177, 1292, 1398, 1528, 1686, 1800, 1945, 1806, 1634, 1494, 1357, 1211, 1110, 1049, 1024, 1034, 1080, 1174, 1277, 1388, 1519, 1673, 1809, 1989, 1822, 1664, 1497, 1366, 1239, 1115, 1065, 1033, 1049, 1095, 1183, 1295, 1406, 1544, 1679, 1855, 1981, 1838, 1674, 1512, 1384, 1260, 1151, 1086, 1062, 1069, 1121, 1198, 1303, 1423, 1540, 1691, 1847, 1964, 1856, 1683, 1550, 1422, 1294, 1189, 1122, 1103, 1113, 1164, 1237, 1332, 1446, 1574, 1741, 1859, 2008, 1885, 1755, 1606, 1471, 1371, 1263, 1197, 1169, 1182, 1228, 1298, 1392, 1501, 1620, 1763, 1883, 2034, 1950, 1823, 1676, 1540, 1439, 1353, 1298, 1269, 1276, 1325, 1383, 1468, 1575, 1700, 1833, 1923, 2012, 1995, 1894, 1744, 1625, 1519, 1440, 1389, 1361, 1370, 1403, 1467, 1558, 1642, 1773, 1876, 1908, 1903, 2038, 1942, 1844, 1704, 1599, 1528, 1484, 1445, 1457, 1494, 1544, 1602, 1724, 1843, 1906, 1827, 1724, 2051, 2027, 1914, 1827, 1698, 1640, 1577, 1566, 1588, 1604, 1633, 1717, 1811, 1901, 1930, 1665, ]
...
|
0 | repos/libcamera/src/ipa/rkisp1 | repos/libcamera/src/ipa/rkisp1/data/ov4689.yaml | # SPDX-License-Identifier: CC0-1.0
%YAML 1.1
---
version: 1
algorithms:
- Agc:
- Awb:
- BlackLevelCorrection:
R: 66
Gr: 66
Gb: 66
B: 66
...
|
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