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processor.py
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import numpy as np
from hivision import IDCreator
from hivision.error import FaceError, APIError
from hivision.utils import add_background, resize_image_to_kb, add_watermark
from hivision.creator.layout_calculator import (
generate_layout_photo,
generate_layout_image,
)
from hivision.creator.choose_handler import choose_handler
from demo.utils import 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,
whitening_strength=0,
):
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
gr.update(value=None), # img_output_standard_png
gr.update(value=None), # img_output_standard_hd_png
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]
)
# 生成证件照
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),
whitening_strength=whitening_strength,
)
# 如果检测到人脸数量不等于1
except FaceError:
return [
gr.update(value=None), # img_output_standard
gr.update(value=None), # img_output_standard_hd
gr.update(value=None), # img_output_standard_png
gr.update(value=None), # img_output_standard_hd_png
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)
]
# 如果 API 错误
except APIError as e:
return [
gr.update(value=None), # img_output_standard
gr.update(value=None), # img_output_standard_hd
gr.update(value=None), # img_output_standard_png
gr.update(value=None), # img_output_standard_hd_png
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)
]
# 证件照生成正常
else:
(result_image_standard, result_image_hd, _, _, _, _) = result
result_image_standard_png = np.uint8(result_image_standard)
result_image_hd_png = np.uint8(result_image_hd)
# 纯色渲染
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"])
)
# 上下渐变渲染
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",
)
)
# 中心渐变渲染
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_image_standard_png, # img_output_standard_png
result_image_hd_png, # img_output_standard_hd_png
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_image_standard_png, # img_output_standard_png
result_image_hd_png, # img_output_standard_hd_png
result_layout_image, # img_output_layout
gr.update(visible=False), # notification
gr.update(visible=False), # file_download
]