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app.py

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+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
+
+import os
+
+
+
+
+#EXEC_DIR = os.path.dirname(os.path.realpath(sys.argv[0])) #适配获取exe执行路径
+SCRIPT_DIR = os.path.dirname(__file__)   #适配获取exe解压后临时目录的路径
+os.chdir(SCRIPT_DIR)
+HY_HUMAN_MATTING_WEIGHTS_PATH = 'hivision_modnet.onnx'
+
+
+size_list_dict = {"一寸": (413, 295), "二寸": (626, 413),
+                  "教师资格证": (413, 295), "国家公务员考试": (413, 295), "初级会计考试": (413, 295)}
+color_list_dict = {"蓝色": (86, 140, 212), "白色": (255, 255, 255), "红色": (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,
+                      custom_color_R,
+                      custom_color_G,
+                      custom_color_B,
+                      custom_size_height,
+                      custom_size_width,
+                      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,
+    }
+
+    # 如果尺寸模式选择的是尺寸列表
+    if idphoto_json["size_mode"] == "尺寸列表":
+        idphoto_json["size"] = size_list_dict[size_list_option]
+    # 如果尺寸模式选择的是自定义尺寸
+    elif idphoto_json["size_mode"] == "自定义尺寸":
+        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="宽度应不大于长度；长宽不应小于100，大于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"] == "自定义底色":
+        idphoto_json["color_bgr"] = (range_check(custom_color_R),
+                                     range_check(custom_color_G),
+                                     range_check(custom_color_B))
+    else:
+        idphoto_json["color_bgr"] = color_list_dict[color_option]
+
+    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="人脸数量不等于1", visible=True)
+        }
+
+    # 如果检测到人脸数量等于1
+    else:
+        if idphoto_json["render_mode"] == "纯色":
+            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"] == "上下渐变(白)":
+            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"] == "只换底":
+            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])
+
+        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)}
+
+    return result_messgae
+
+
+if __name__ == "__main__":
+    #HY_HUMAN_MATTING_WEIGHTS_PATH = "./hivision_modnet.onnx"
+    sess = onnxruntime.InferenceSession(HY_HUMAN_MATTING_WEIGHTS_PATH)
+    size_mode = ["尺寸列表", "只换底", "自定义尺寸"]
+    size_list = ["一寸", "二寸", "教师资格证", "国家公务员考试", "初级会计考试"]
+    colors = ["蓝色", "白色", "红色", "自定义底色"]
+    render = ["纯色", "上下渐变(白)", "中心渐变(白)"]
+
+    title = "<h1 id='title'>HivisionIDPhotos</h1>"
+    description = "<h3>😎6.20更新：新增尺寸选择列表</h3>"
+    css = '''
+    h1#title, h3 {
+      text-align: center;
+    }
+    '''
+
+    demo = gr.Blocks(css=css)
+
+    with demo:
+        gr.Markdown(title)
+        gr.Markdown(description)
+        with gr.Row():
+            with gr.Column():
+                img_input = gr.Image(height=350)
+                mode_options = gr.Radio(choices=size_mode, label="证件照尺寸选项", value="尺寸列表", 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, label="预设尺寸", value="一寸", 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)
+
+                color_options = gr.Radio(choices=colors, label="背景色", value="蓝色", elem_id="color")
+                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)
+
+                render_options = gr.Radio(choices=render, label="渲染方式", value="纯色", elem_id="render")
+
+                img_but = gr.Button('开始制作')
+                # 案例图片
+                example_images = gr.Dataset(components=[img_input],
+                                            samples=[[path.as_posix()]
+                                                     for path in sorted(pathlib.Path('images').rglob('*.jpg'))])
+
+            with gr.Column():
+                notification = gr.Text(label="状态", visible=False)
+                with gr.Row():
+                    img_output_standard = gr.Image(label="标准照",height=350)
+                    img_output_standard_hd = gr.Image(label="高清照",height=350)
+                img_output_layout = gr.Image(label="六寸排版照",height=350)
+
+
+            def change_color(colors):
+                if colors == "自定义底色":
+                    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":
+                    return {custom_size: gr.update(visible=True),
+                            size_list_row: gr.update(visible=False)}
+                elif size_option_item == "只换底":
+                    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)}
+
+        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])
+
+        img_but.click(idphoto_inference,
+                      inputs=[img_input, mode_options, size_list_options, color_options, render_options,
+                              custom_color_R, custom_color_G, custom_color_B,
+                              custom_size_height, custom_size_wdith],
+                      outputs=[img_output_standard, img_output_standard_hd, img_output_layout, notification],
+                      queue=True)
+        example_images.click(fn=set_example_image, inputs=[example_images], outputs=[img_input])
+
+    demo.queue().launch(share=True,inbrowser=True,allowed_paths=['./'])

requirements.txt

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+opencv-python==4.7.0.72
+onnx==1.14.0
+onnxruntime==1.15.0
+numpy==1.24.3
+gradio==3.38.0
+fastapi