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import os
import gradio as gr
import onnxruntime
from src.face_judgement_align import IDphotos_create
from hivisionai.hycv.vision import add_background
from src.layoutCreate import generate_layout_photo, generate_layout_image
import pathlib
import numpy as np
from image_utils import resize_image_to_kb
from data_utils import csv_to_size_list
import argparse
# 获取尺寸列表
root_dir = os.path.dirname(os.path.abspath(__file__))
size_list_dict_CN = csv_to_size_list(os.path.join(root_dir, "size_list_CN.csv"))
size_list_dict_EN = csv_to_size_list(os.path.join(root_dir, "size_list_EN.csv"))
color_list_dict_CN = {
"蓝色": (86, 140, 212),
"白色": (255, 255, 255),
"红色": (233, 51, 35),
}
color_list_dict_EN = {
"Blue": (86, 140, 212),
"White": (255, 255, 255),
"Red": (233, 51, 35),
}
# 设置 Gradio examples
def set_example_image(example: list) -> dict:
return gr.Image.update(value=example[0])
# 检测 RGB 是否超出范围,如果超出则约束到 0~255 之间
def range_check(value, min_value=0, max_value=255):
value = int(value)
if value <= min_value:
value = min_value
elif value > max_value:
value = max_value
return value
def idphoto_inference(
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,
head_measure_ratio=0.2,
head_height_ratio=0.45,
top_distance_max=0.12,
top_distance_min=0.10,
):
idphoto_json = {
"size_mode": mode_option,
"color_mode": color_option,
"render_mode": render_option,
"image_kb_mode": image_kb_options,
}
text_lang_map = {
"中文": {
"Size List": "尺寸列表",
"Custom Size": "自定义尺寸",
"The width should not be greater than the length; the length and width should not be less than 100, and no more than 1800.": "宽度应不大于长度;长宽不应小于 100,大于 1800",
"Custom Color": "自定义底色",
"Custom": "自定义",
"The number of faces is not equal to 1": "人脸数量不等于 1",
"Solid Color": "纯色",
"Up-Down Gradient (White)": "上下渐变 (白)",
"Center Gradient (White)": "中心渐变 (白)",
"Set KB size (Download in the bottom right)": "设置 KB 大小(结果在右边最底的组件下载)",
"Not Set": "不设置",
"Only Change Background": "只换底",
},
"English": {
"Size List": "Size List",
"Custom Size": "Custom Size",
"The width should not be greater than the length; the length and width should not be less than 100, and no more than 1800.": "The width should not be greater than the length; the length and width should not be less than 100, and no more than 1800.",
"Custom Color": "Custom Color",
"Custom": "Custom",
"The number of faces is not equal to 1": "The number of faces is not equal to 1",
"Solid Color": "Solid Color",
"Up-Down Gradient (White)": "Up-Down Gradient (White)",
"Center Gradient (White)": "Center Gradient (White)",
"Set KB size (Download in the bottom right)": "Set KB size (Download in the bottom right)",
"Not Set": "Not Set",
"Only Change Background": "Only Change Background",
},
}
# 如果尺寸模式选择的是尺寸列表
if idphoto_json["size_mode"] == text_lang_map[language]["Size List"]:
if language == "中文":
idphoto_json["size"] = size_list_dict_CN[size_list_option]
else:
idphoto_json["size"] = size_list_dict_EN[size_list_option]
# 如果尺寸模式选择的是自定义尺寸
elif idphoto_json["size_mode"] == text_lang_map[language]["Custom Size"]:
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 {
img_output_standard: gr.update(value=None),
img_output_standard_hd: gr.update(value=None),
notification: gr.update(
value=text_lang_map[language][
"The width should not be greater than the length; the length and width should not be less than 100, and no more than 1800."
],
visible=True,
),
}
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"] == text_lang_map[language]["Custom Color"]:
idphoto_json["color_bgr"] = (
range_check(custom_color_R),
range_check(custom_color_G),
range_check(custom_color_B),
)
else:
if language == "中文":
idphoto_json["color_bgr"] = color_list_dict_CN[color_option]
else:
idphoto_json["color_bgr"] = color_list_dict_EN[color_option]
# 如果输出 KB 大小选择的是自定义
if idphoto_json["image_kb_mode"] == text_lang_map[language]["Custom"]:
idphoto_json["custom_image_kb"] = custom_image_kb
else:
idphoto_json["custom_image_kb"] = None
# 生成证件照
(
result_image_hd,
result_image_standard,
typography_arr,
typography_rotate,
_,
_,
_,
_,
status,
) = IDphotos_create(
input_image,
mode=idphoto_json["size_mode"],
size=idphoto_json["size"],
head_measure_ratio=head_measure_ratio,
head_height_ratio=head_height_ratio,
align=False,
beauty=False,
fd68=None,
human_sess=sess,
IS_DEBUG=False,
top_distance_max=top_distance_max,
top_distance_min=top_distance_min,
)
# 如果检测到人脸数量不等于 1
if status == 0:
result_messgae = {
img_output_standard: gr.update(value=None),
img_output_standard_hd: gr.update(value=None),
notification: gr.update(
value=text_lang_map[language]["The number of faces is not equal to 1"],
visible=True,
),
}
# 如果检测到人脸数量等于 1
else:
if idphoto_json["render_mode"] == text_lang_map[language]["Solid Color"]:
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"]
== text_lang_map[language]["Up-Down Gradient (White)"]
):
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",
)
)
if (
idphoto_json["size_mode"]
== text_lang_map[language]["Only Change Background"]
):
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],
)
result_layout_image = generate_layout_image(
result_image_standard,
typography_arr,
typography_rotate,
height=idphoto_json["size"][0],
width=idphoto_json["size"][1],
)
# 如果输出 KB 大小选择的是自定义
if idphoto_json["custom_image_kb"]:
# 将标准照大小调整至目标大小
print("调整 kb 大小到", idphoto_json["custom_image_kb"], "kb")
# 输出路径为一个根据时间戳 + 哈希值生成的随机文件名
import time
output_image_path = f"./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
if output_image_path:
result_messgae = {
img_output_standard: result_image_standard,
img_output_standard_hd: result_image_hd,
img_output_layout: result_layout_image,
notification: gr.update(visible=False),
file_download: gr.update(visible=True, value=output_image_path),
}
else:
result_messgae = {
img_output_standard: result_image_standard,
img_output_standard_hd: result_image_hd,
img_output_layout: result_layout_image,
notification: gr.update(visible=False),
file_download: gr.update(visible=False),
}
return result_messgae
if __name__ == "__main__":
# 预加载 ONNX 模型
HY_HUMAN_MATTING_WEIGHTS_PATH = os.path.join(root_dir, "hivision_modnet.onnx")
sess = onnxruntime.InferenceSession(HY_HUMAN_MATTING_WEIGHTS_PATH)
language = ["中文", "English"]
size_mode_CN = ["尺寸列表", "只换底", "自定义尺寸"]
size_mode_EN = ["Size List", "Only Change Background", "Custom Size"]
size_list_CN = list(size_list_dict_CN.keys())
size_list_EN = list(size_list_dict_EN.keys())
colors_CN = ["蓝色", "白色", "红色", "自定义底色"]
colors_EN = ["Blue", "White", "Red", "Custom Color"]
render_CN = ["纯色", "上下渐变 (白)", "中心渐变 (白)"]
render_EN = ["Solid Color", "Up-Down Gradient (White)", "Center Gradient (White)"]
image_kb_CN = ["不设置", "自定义"]
image_kb_EN = ["Not Set", "Custom"]
title = "<h1 id='title'>HivisionIDPhotos</h1>"
description = "<h3>😎9.2 Update: Add photo size KB adjustment</h3>"
css = """
h1#title, h3 {
text-align: center;
}
"""
demo = gr.Blocks(css=css)
with demo:
gr.Markdown(title)
gr.Markdown(description)
with gr.Row():
# ------------ 左半边 UI ----------------
with gr.Column():
img_input = gr.Image().style(height=350)
language_options = gr.Dropdown(
choices=language, label="Language", value="English", elem_id="language"
)
mode_options = gr.Radio(
choices=size_mode_EN,
label="ID photo size options",
value="Size List",
elem_id="size",
)
# 预设尺寸下拉菜单
with gr.Row(visible=True) as size_list_row:
size_list_options = gr.Dropdown(
choices=size_list_EN,
label="Default size",
value="One inch",
elem_id="size_list",
)
with gr.Row(visible=False) as custom_size:
custom_size_height = gr.Number(
value=413, label="height", interactive=True
)
custom_size_wdith = gr.Number(
value=295, label="width", interactive=True
)
# 左:背景色选项
color_options = gr.Radio(
choices=colors_EN, label="Background color", value="Blue", elem_id="color"
)
# 左:如果选择「自定义底色」,显示 RGB 输入框
with gr.Row(visible=False) as custom_color:
custom_color_R = gr.Number(value=0, label="R", interactive=True)
custom_color_G = gr.Number(value=0, label="G", interactive=True)
custom_color_B = gr.Number(value=0, label="B", interactive=True)
# 左:渲染方式选项
render_options = gr.Radio(
choices=render_EN,
label="Rendering mode",
value="Solid Color",
elem_id="render",
)
# 左:输出 KB 大小选项
image_kb_options = gr.Radio(
choices=image_kb_EN,
label="Set KB size (Download in the bottom right)",
value="Not Set",
elem_id="image_kb",
)
# 自定义 KB 大小,滑动条,最小 10KB,最大 200KB
with gr.Row(visible=False) as custom_image_kb:
custom_image_kb_size = gr.Slider(
minimum=10,
maximum=1000,
value=50,
label="KB size",
interactive=True,
)
img_but = gr.Button("Start", elem_id="start")
# 案例图片
example_images = gr.Dataset(
components=[img_input],
samples=[
[path.as_posix()]
for path in sorted(
pathlib.Path(os.path.join(root_dir, "images")).rglob(
"*.jpg"
)
)
],
)
# ---------------- 右半边 UI ----------------
with gr.Column():
notification = gr.Text(label="Status", visible=False)
with gr.Row():
img_output_standard = gr.Image(label="Standard photo").style(height=350)
img_output_standard_hd = gr.Image(label="HD photo").style(height=350)
img_output_layout = gr.Image(label="Layout photo").style(height=350)
file_download = gr.File(label="Download the photo after adjusting the KB size", visible=False)
# ---------------- 设置隐藏/显示组件 ----------------
def change_language(language):
# 将Gradio组件中的内容改为中文或英文
if language == "中文":
return {
size_list_options: gr.update(
label="预设尺寸",
choices=size_list_CN,
value="一寸",
),
mode_options: gr.update(
label="证件照尺寸选项",
choices=size_mode_CN,
value="尺寸列表",
),
color_options: gr.update(
label="背景色",
choices=colors_CN,
value="蓝色",
),
img_but: gr.update(value="开始制作"),
render_options: gr.update(
label="渲染方式",
choices=render_CN,
value="纯色",
),
image_kb_options: gr.update(
label="设置 KB 大小(结果在右边最底的组件下载)",
choices=image_kb_CN,
value="不设置",
),
custom_image_kb_size: gr.update(label="KB 大小"),
notification: gr.update(label="状态"),
img_output_standard: gr.update(label="标准照"),
img_output_standard_hd: gr.update(label="高清照"),
img_output_layout: gr.update(label="六寸排版照"),
file_download: gr.update(label="下载调整 KB 大小后的照片"),
}
elif language == "English":
return {
size_list_options: gr.update(
label="Default size",
choices=size_list_EN,
value="One inch",
),
mode_options: gr.update(
label="ID photo size options",
choices=size_mode_EN,
value="Size List",
),
color_options: gr.update(
label="Background color",
choices=colors_EN,
value="Blue",
),
img_but: gr.update(value="Start"),
render_options: gr.update(
label="Rendering mode",
choices=render_EN,
value="Solid Color",
),
image_kb_options: gr.update(
label="Set KB size (Download in the bottom right)",
choices=image_kb_EN,
value="Not Set",
),
custom_image_kb_size: gr.update(label="KB size"),
notification: gr.update(label="Status"),
img_output_standard: gr.update(label="Standard photo"),
img_output_standard_hd: gr.update(label="HD photo"),
img_output_layout: gr.update(label="Layout photo"),
file_download: gr.update(
label="Download the photo after adjusting the KB size"
),
}
def change_color(colors):
if colors == "自定义底色" or colors == "Custom Color":
return {custom_color: gr.update(visible=True)}
else:
return {custom_color: gr.update(visible=False)}
def change_size_mode(size_option_item):
if (
size_option_item == "自定义尺寸"
or size_option_item == "Custom Size"
):
return {
custom_size: gr.update(visible=True),
size_list_row: gr.update(visible=False),
}
elif (
size_option_item == "只换底"
or size_option_item == "Only Change Background"
):
return {
custom_size: gr.update(visible=False),
size_list_row: gr.update(visible=False),
}
else:
return {
custom_size: gr.update(visible=False),
size_list_row: gr.update(visible=True),
}
def change_image_kb(image_kb_option):
if image_kb_option == "自定义" or image_kb_option == "Custom":
return {custom_image_kb: gr.update(visible=True)}
else:
return {custom_image_kb: gr.update(visible=False)}
# ---------------- 绑定事件 ----------------
language_options.input(
change_language,
inputs=[language_options],
outputs=[
size_list_options,
mode_options,
color_options,
img_but,
render_options,
image_kb_options,
custom_image_kb_size,
notification,
img_output_standard,
img_output_standard_hd,
img_output_layout,
file_download,
],
)
color_options.input(
change_color, inputs=[color_options], outputs=[custom_color]
)
mode_options.input(
change_size_mode,
inputs=[mode_options],
outputs=[custom_size, size_list_row],
)
image_kb_options.input(
change_image_kb, inputs=[image_kb_options], outputs=[custom_image_kb]
)
img_but.click(
idphoto_inference,
inputs=[
img_input,
mode_options,
size_list_options,
color_options,
render_options,
image_kb_options,
custom_color_R,
custom_color_G,
custom_color_B,
custom_size_height,
custom_size_wdith,
custom_image_kb_size,
language_options,
],
outputs=[
img_output_standard,
img_output_standard_hd,
img_output_layout,
notification,
file_download,
],
)
example_images.click(
fn=set_example_image, inputs=[example_images], outputs=[img_input]
)
argparser = argparse.ArgumentParser()
argparser.add_argument(
"--port", type=int, default=7860, help="The port number of the server"
)
argparser.add_argument(
"--host", type=str, default="127.0.0.1", help="The host of the server"
)
args = argparser.parse_args()
demo.launch(server_name=args.host, server_port=args.port)
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