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''' | |
MIT License | |
Copyright (c) 2019 Shunsuke Saito, Zeng Huang, and Ryota Natsume | |
Permission is hereby granted, free of charge, to any person obtaining a copy | |
of this software and associated documentation files (the "Software"), to deal | |
in the Software without restriction, including without limitation the rights | |
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
copies of the Software, and to permit persons to whom the Software is | |
furnished to do so, subject to the following conditions: | |
The above copyright notice and this permission notice shall be included in all | |
copies or substantial portions of the Software. | |
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
SOFTWARE. | |
''' | |
import numpy as np | |
def vec3(x, y, z): | |
return np.array([x, y, z], dtype=np.float32) | |
def radians(v): | |
return np.radians(v) | |
def identity(): | |
return np.identity(4, dtype=np.float32) | |
def empty(): | |
return np.zeros([4, 4], dtype=np.float32) | |
def magnitude(v): | |
return np.linalg.norm(v) | |
def normalize(v): | |
m = magnitude(v) | |
return v if m == 0 else v / m | |
def dot(u, v): | |
return np.sum(u * v) | |
def cross(u, v): | |
res = vec3(0, 0, 0) | |
res[0] = u[1] * v[2] - u[2] * v[1] | |
res[1] = u[2] * v[0] - u[0] * v[2] | |
res[2] = u[0] * v[1] - u[1] * v[0] | |
return res | |
# below functions can be optimized | |
def translate(m, v): | |
res = np.copy(m) | |
res[:, 3] = m[:, 0] * v[0] + m[:, 1] * v[1] + m[:, 2] * v[2] + m[:, 3] | |
return res | |
def rotate(m, angle, v): | |
a = angle | |
c = np.cos(a) | |
s = np.sin(a) | |
axis = normalize(v) | |
temp = (1 - c) * axis | |
rot = empty() | |
rot[0][0] = c + temp[0] * axis[0] | |
rot[0][1] = temp[0] * axis[1] + s * axis[2] | |
rot[0][2] = temp[0] * axis[2] - s * axis[1] | |
rot[1][0] = temp[1] * axis[0] - s * axis[2] | |
rot[1][1] = c + temp[1] * axis[1] | |
rot[1][2] = temp[1] * axis[2] + s * axis[0] | |
rot[2][0] = temp[2] * axis[0] + s * axis[1] | |
rot[2][1] = temp[2] * axis[1] - s * axis[0] | |
rot[2][2] = c + temp[2] * axis[2] | |
res = empty() | |
res[:, 0] = m[:, 0] * rot[0][0] + m[:, 1] * rot[0][1] + m[:, 2] * rot[0][2] | |
res[:, 1] = m[:, 0] * rot[1][0] + m[:, 1] * rot[1][1] + m[:, 2] * rot[1][2] | |
res[:, 2] = m[:, 0] * rot[2][0] + m[:, 1] * rot[2][1] + m[:, 2] * rot[2][2] | |
res[:, 3] = m[:, 3] | |
return res | |
def perspective(fovy, aspect, zNear, zFar): | |
tanHalfFovy = np.tan(fovy / 2) | |
res = empty() | |
res[0][0] = 1 / (aspect * tanHalfFovy) | |
res[1][1] = 1 / (tanHalfFovy) | |
res[2][3] = -1 | |
res[2][2] = - (zFar + zNear) / (zFar - zNear) | |
res[3][2] = -(2 * zFar * zNear) / (zFar - zNear) | |
return res.T | |
def ortho(left, right, bottom, top, zNear, zFar): | |
# res = np.ones([4, 4], dtype=np.float32) | |
res = identity() | |
res[0][0] = 2 / (right - left) | |
res[1][1] = 2 / (top - bottom) | |
res[2][2] = - 2 / (zFar - zNear) | |
res[3][0] = - (right + left) / (right - left) | |
res[3][1] = - (top + bottom) / (top - bottom) | |
res[3][2] = - (zFar + zNear) / (zFar - zNear) | |
return res.T | |
def lookat(eye, center, up): | |
f = normalize(center - eye) | |
s = normalize(cross(f, up)) | |
u = cross(s, f) | |
res = identity() | |
res[0][0] = s[0] | |
res[1][0] = s[1] | |
res[2][0] = s[2] | |
res[0][1] = u[0] | |
res[1][1] = u[1] | |
res[2][1] = u[2] | |
res[0][2] = -f[0] | |
res[1][2] = -f[1] | |
res[2][2] = -f[2] | |
res[3][0] = -dot(s, eye) | |
res[3][1] = -dot(u, eye) | |
res[3][2] = -dot(f, eye) | |
return res.T | |
def transform(d, m): | |
return np.dot(m, d.T).T | |