app.py

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=['./'])