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https://github.com/Zeyi-Lin/HivisionIDPhotos.git
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218 lines
10 KiB
Python
218 lines
10 KiB
Python
import gradio as gr
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import onnxruntime
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from face_judgement_align import IDphotos_create
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from hivisionai.hycv.vision import add_background
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from layoutCreate import generate_layout_photo, generate_layout_image
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import pathlib
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import numpy as np
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size_list_dict = {"一寸": (413, 295), "二寸": (626, 413),
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"教师资格证": (413, 295), "国家公务员考试": (413, 295), "初级会计考试": (413, 295)}
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color_list_dict = {"蓝色": (86, 140, 212), "白色": (255, 255, 255), "红色": (233, 51, 35)}
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# 设置Gradio examples
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def set_example_image(example: list) -> dict:
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return gr.Image.update(value=example[0])
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# 检测RGB是否超出范围，如果超出则约束到0～255之间
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def range_check(value, min_value=0, max_value=255):
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value = int(value)
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if value <= min_value:
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value = min_value
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elif value > max_value:
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value = max_value
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return value
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def idphoto_inference(input_image,
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mode_option,
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size_list_option,
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color_option,
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render_option,
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custom_color_R,
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custom_color_G,
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custom_color_B,
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custom_size_height,
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custom_size_width,
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sess=None,
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head_measure_ratio=0.2,
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head_height_ratio=0.45,
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top_distance_max=0.12,
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top_distance_min=0.10):
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idphoto_json = {
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"size_mode": mode_option,
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"color_mode": color_option,
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"render_mode": render_option,
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}
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# 如果尺寸模式选择的是尺寸列表
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if idphoto_json["size_mode"] == "尺寸列表":
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idphoto_json["size"] = size_list_dict[size_list_option]
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# 如果尺寸模式选择的是自定义尺寸
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elif idphoto_json["size_mode"] == "自定义尺寸":
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id_height = int(custom_size_height)
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id_width = int(custom_size_width)
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if id_height < id_width or min(id_height, id_width) < 100 or max(id_height, id_width) > 1800:
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return {
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img_output_standard: gr.update(value=None),
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img_output_standard_hd: gr.update(value=None),
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notification: gr.update(value="宽度应不大于长度；长宽不应小于100，大于1800", visible=True)}
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idphoto_json["size"] = (id_height, id_width)
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else:
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idphoto_json["size"] = (None, None)
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# 如果颜色模式选择的是自定义底色
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if idphoto_json["color_mode"] == "自定义底色":
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idphoto_json["color_bgr"] = (range_check(custom_color_R),
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range_check(custom_color_G),
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range_check(custom_color_B))
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else:
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idphoto_json["color_bgr"] = color_list_dict[color_option]
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result_image_hd, result_image_standard, typography_arr, typography_rotate, \
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_, _, _, _, status = IDphotos_create(input_image,
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mode=idphoto_json["size_mode"],
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size=idphoto_json["size"],
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head_measure_ratio=head_measure_ratio,
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head_height_ratio=head_height_ratio,
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align=False,
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beauty=False,
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fd68=None,
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human_sess=sess,
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IS_DEBUG=False,
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top_distance_max=top_distance_max,
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top_distance_min=top_distance_min)
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# 如果检测到人脸数量不等于1
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if status == 0:
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result_messgae = {
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img_output_standard: gr.update(value=None),
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img_output_standard_hd: gr.update(value=None),
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notification: gr.update(value="人脸数量不等于1", visible=True)
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}
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# 如果检测到人脸数量等于1
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else:
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if idphoto_json["render_mode"] == "纯色":
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result_image_standard = np.uint8(
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add_background(result_image_standard, bgr=idphoto_json["color_bgr"]))
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result_image_hd = np.uint8(add_background(result_image_hd, bgr=idphoto_json["color_bgr"]))
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elif idphoto_json["render_mode"] == "上下渐变(白)":
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result_image_standard = np.uint8(
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add_background(result_image_standard, bgr=idphoto_json["color_bgr"], mode="updown_gradient"))
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result_image_hd = np.uint8(
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add_background(result_image_hd, bgr=idphoto_json["color_bgr"], mode="updown_gradient"))
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else:
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result_image_standard = np.uint8(
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add_background(result_image_standard, bgr=idphoto_json["color_bgr"], mode="center_gradient"))
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result_image_hd = np.uint8(
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add_background(result_image_hd, bgr=idphoto_json["color_bgr"], mode="center_gradient"))
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if idphoto_json["size_mode"] == "只换底":
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result_layout_image = gr.update(visible=False)
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else:
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typography_arr, typography_rotate = generate_layout_photo(input_height=idphoto_json["size"][0],
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input_width=idphoto_json["size"][1])
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result_layout_image = generate_layout_image(result_image_standard, typography_arr,
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typography_rotate,
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height=idphoto_json["size"][0],
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width=idphoto_json["size"][1])
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result_messgae = {
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img_output_standard: result_image_standard,
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img_output_standard_hd: result_image_hd,
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img_output_layout: result_layout_image,
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notification: gr.update(visible=False)}
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return result_messgae
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if __name__ == "__main__":
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HY_HUMAN_MATTING_WEIGHTS_PATH = "./hivision_modnet.onnx"
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sess = onnxruntime.InferenceSession(HY_HUMAN_MATTING_WEIGHTS_PATH)
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size_mode = ["尺寸列表", "只换底", "自定义尺寸"]
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size_list = ["一寸", "二寸", "教师资格证", "国家公务员考试", "初级会计考试"]
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colors = ["蓝色", "白色", "红色", "自定义底色"]
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render = ["纯色", "上下渐变(白)", "中心渐变(白)"]
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title = "<h1 id='title'>HivisionIDPhotos</h1>"
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description = "<h3>😎6.20更新：新增尺寸选择列表</h3>"
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css = '''
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h1#title, h3 {
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text-align: center;
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}
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'''
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demo = gr.Blocks(css=css)
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with demo:
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gr.Markdown(title)
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gr.Markdown(description)
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with gr.Row():
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with gr.Column():
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img_input = gr.Image().style(height=350)
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mode_options = gr.Radio(choices=size_mode, label="证件照尺寸选项", value="尺寸列表", elem_id="size")
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# 预设尺寸下拉菜单
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with gr.Row(visible=True) as size_list_row:
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size_list_options = gr.Dropdown(choices=size_list, label="预设尺寸", value="一寸", elem_id="size_list")
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with gr.Row(visible=False) as custom_size:
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custom_size_height = gr.Number(value=413, label="height", interactive=True)
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custom_size_wdith = gr.Number(value=295, label="width", interactive=True)
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color_options = gr.Radio(choices=colors, label="背景色", value="蓝色", elem_id="color")
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with gr.Row(visible=False) as custom_color:
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custom_color_R = gr.Number(value=0, label="R", interactive=True)
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custom_color_G = gr.Number(value=0, label="G", interactive=True)
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custom_color_B = gr.Number(value=0, label="B", interactive=True)
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render_options = gr.Radio(choices=render, label="渲染方式", value="纯色", elem_id="render")
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img_but = gr.Button('开始制作')
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# 案例图片
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example_images = gr.Dataset(components=[img_input],
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samples=[[path.as_posix()]
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for path in sorted(pathlib.Path('images').rglob('*.jpg'))])
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with gr.Column():
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notification = gr.Text(label="状态", visible=False)
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with gr.Row():
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img_output_standard = gr.Image(label="标准照").style(height=350)
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img_output_standard_hd = gr.Image(label="高清照").style(height=350)
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img_output_layout = gr.Image(label="六寸排版照").style(height=350)
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def change_color(colors):
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if colors == "自定义底色":
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return {custom_color: gr.update(visible=True)}
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else:
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return {custom_color: gr.update(visible=False)}
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def change_size_mode(size_option_item):
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if size_option_item == "自定义尺寸":
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return {custom_size: gr.update(visible=True),
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size_list_row: gr.update(visible=False)}
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elif size_option_item == "只换底":
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return {custom_size: gr.update(visible=False),
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size_list_row: gr.update(visible=False)}
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else:
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return {custom_size: gr.update(visible=False),
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size_list_row: gr.update(visible=True)}
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color_options.input(change_color, inputs=[color_options], outputs=[custom_color])
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mode_options.input(change_size_mode, inputs=[mode_options], outputs=[custom_size, size_list_row])
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img_but.click(idphoto_inference,
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inputs=[img_input, mode_options, size_list_options, color_options, render_options,
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custom_color_R, custom_color_G, custom_color_B,
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custom_size_height, custom_size_wdith],
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outputs=[img_output_standard, img_output_standard_hd, img_output_layout, notification],
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queue=True)
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example_images.click(fn=set_example_image, inputs=[example_images], outputs=[img_input])
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demo.launch(enable_queue=True)
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