Spaces:
Running
Running
File size: 11,246 Bytes
402b504 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 |
import numpy as np
from hivision import IDCreator
from hivision.error import FaceError, APIError
from hivision.utils import add_background, resize_image_to_kb
from hivision.creator.layout_calculator import (
generate_layout_photo,
generate_layout_image,
)
from hivision.creator.choose_handler import choose_handler
from demo.utils import add_watermark, range_check
import gradio as gr
import os
import time
from demo.locals import LOCALES
class IDPhotoProcessor:
def process(
self,
input_image,
mode_option,
size_list_option,
color_option,
render_option,
image_kb_options,
custom_color_R,
custom_color_G,
custom_color_B,
custom_size_height,
custom_size_width,
custom_image_kb,
language,
matting_model_option,
watermark_option,
watermark_text,
watermark_text_color,
watermark_text_size,
watermark_text_opacity,
watermark_text_angle,
watermark_text_space,
face_detect_option,
head_measure_ratio=0.2,
top_distance_max=0.12,
top_distance_min=0.10,
):
top_distance_min = top_distance_max - 0.02
idphoto_json = {
"size_mode": mode_option,
"color_mode": color_option,
"render_mode": render_option,
"image_kb_mode": image_kb_options,
"custom_image_kb": None,
}
# 如果尺寸模式选择的是尺寸列表
if idphoto_json["size_mode"] == LOCALES["size_mode"][language]["choices"][0]:
idphoto_json["size"] = LOCALES["size_list"][language]["develop"][
size_list_option
]
# 如果尺寸模式选择的是自定义尺寸
elif idphoto_json["size_mode"] == LOCALES["size_mode"][language]["choices"][2]:
id_height = int(custom_size_height)
id_width = int(custom_size_width)
if (
id_height < id_width
or min(id_height, id_width) < 100
or max(id_height, id_width) > 1800
):
return [
gr.update(value=None), # img_output_standard
gr.update(value=None), # img_output_standard_hd
None, # img_output_layout (assuming it should be None or not updated)
gr.update( # notification
value=LOCALES["size_mode"][language]["custom_size_eror"],
visible=True,
),
None, # file_download (assuming it should be None or not updated)
]
idphoto_json["size"] = (id_height, id_width)
else:
idphoto_json["size"] = (None, None)
# 如果颜色模式选择的是自定义底色
if idphoto_json["color_mode"] == LOCALES["bg_color"][language]["choices"][-1]:
idphoto_json["color_bgr"] = (
range_check(custom_color_R),
range_check(custom_color_G),
range_check(custom_color_B),
)
else:
hex_color = idphoto_json["color_bgr"] = LOCALES["bg_color"][language][
"develop"
][color_option]
# 转为 RGB
idphoto_json["color_bgr"] = tuple(
int(hex_color[i : i + 2], 16) for i in (0, 2, 4)
)
# 如果输出 KB 大小选择的是自定义
if (
idphoto_json["image_kb_mode"]
== LOCALES["image_kb"][language]["choices"][-1]
):
idphoto_json["custom_image_kb"] = custom_image_kb
creator = IDCreator()
choose_handler(creator, matting_model_option, face_detect_option)
# 是否只换底
change_bg_only = (
idphoto_json["size_mode"] in LOCALES["size_mode"][language]["choices"][1]
)
try:
result = creator(
input_image,
change_bg_only=change_bg_only,
size=idphoto_json["size"],
head_measure_ratio=head_measure_ratio,
head_top_range=(top_distance_max, top_distance_min),
)
except FaceError:
return [
gr.update(value=None), # img_output_standard
gr.update(value=None), # img_output_standard_hd
gr.update(visible=False), # img_output_layout
gr.update( # notification
value=LOCALES["notification"][language]["face_error"],
visible=True,
),
None, # file_download (assuming it should be None or have no update)
]
except APIError as e:
return [
gr.update(value=None), # img_output_standard
gr.update(value=None), # img_output_standard_hd
gr.update(visible=False), # img_output_layout
gr.update( # notification
value=LOCALES["notification"][language]["face_error"],
visible=True,
),
None, # file_download (assuming it should be None or have no update)
]
else:
(result_image_standard, result_image_hd, _, _) = result
if (
idphoto_json["render_mode"]
== LOCALES["render_mode"][language]["choices"][0]
):
result_image_standard = np.uint8(
add_background(result_image_standard, bgr=idphoto_json["color_bgr"])
)
result_image_hd = np.uint8(
add_background(result_image_hd, bgr=idphoto_json["color_bgr"])
)
elif (
idphoto_json["render_mode"]
== LOCALES["render_mode"][language]["choices"][1]
):
result_image_standard = np.uint8(
add_background(
result_image_standard,
bgr=idphoto_json["color_bgr"],
mode="updown_gradient",
)
)
result_image_hd = np.uint8(
add_background(
result_image_hd,
bgr=idphoto_json["color_bgr"],
mode="updown_gradient",
)
)
else:
result_image_standard = np.uint8(
add_background(
result_image_standard,
bgr=idphoto_json["color_bgr"],
mode="center_gradient",
)
)
result_image_hd = np.uint8(
add_background(
result_image_hd,
bgr=idphoto_json["color_bgr"],
mode="center_gradient",
)
)
# 如果只换底，就不生成排版照
if change_bg_only:
result_layout_image = gr.update(visible=False)
else:
typography_arr, typography_rotate = generate_layout_photo(
input_height=idphoto_json["size"][0],
input_width=idphoto_json["size"][1],
)
if (
watermark_option
== LOCALES["watermark_switch"][language]["choices"][1]
):
result_layout_image = gr.update(
value=generate_layout_image(
add_watermark(
image=result_image_standard,
text=watermark_text,
size=watermark_text_size,
opacity=watermark_text_opacity,
angle=watermark_text_angle,
space=watermark_text_space,
color=watermark_text_color,
),
typography_arr,
typography_rotate,
height=idphoto_json["size"][0],
width=idphoto_json["size"][1],
),
visible=True,
)
else:
result_layout_image = gr.update(
value=generate_layout_image(
result_image_standard,
typography_arr,
typography_rotate,
height=idphoto_json["size"][0],
width=idphoto_json["size"][1],
),
visible=True,
)
# 如果添加水印
if watermark_option == LOCALES["watermark_switch"][language]["choices"][1]:
result_image_standard = add_watermark(
image=result_image_standard,
text=watermark_text,
size=watermark_text_size,
opacity=watermark_text_opacity,
angle=watermark_text_angle,
space=watermark_text_space,
color=watermark_text_color,
)
result_image_hd = add_watermark(
image=result_image_hd,
text=watermark_text,
size=watermark_text_size,
opacity=watermark_text_opacity,
angle=watermark_text_angle,
space=watermark_text_space,
color=watermark_text_color,
)
# 如果输出 KB 大小选择的是自定义
if idphoto_json["custom_image_kb"]:
print("调整 kb 大小到", idphoto_json["custom_image_kb"], "kb")
output_image_path = f"{os.path.join(os.path.dirname(os.path.dirname(__file__)), 'demo/kb_output')}/{int(time.time())}.jpg"
resize_image_to_kb(
result_image_standard,
output_image_path,
idphoto_json["custom_image_kb"],
)
else:
output_image_path = None
# 返回结果
if output_image_path:
return [
result_image_standard, # img_output_standard
result_image_hd, # img_output_standard_hd
result_layout_image, # img_output_layout
gr.update(visible=False), # notification
gr.update(visible=True, value=output_image_path), # file_download
]
else:
return [
result_image_standard, # img_output_standard
result_image_hd, # img_output_standard_hd
result_layout_image, # img_output_layout
gr.update(visible=False), # notification
gr.update(visible=False), # file_download
]
|