app.py

import os

import gradio as gr
from imgutils.generic import YOLOModel

_GLOBAL_CSS = """
.limit-height {
    max-height: 55vh;
}
"""

if __name__ == '__main__':
    with gr.Blocks(css=_GLOBAL_CSS) as demo:
        with gr.Row():
            with gr.Column():
                gr.HTML('<h2 style="text-align: center;">Object Detections For Real Photos</h2>')
                gr.Markdown('This is the online demo for detection functions of '
                            '[imgutils.detect](https://dghs-imgutils.deepghs.org/main/api_doc/detect/index.html). '
                            'You can try them yourselves with `pip install dghs-imgutils`.')

        with gr.Row():
            with gr.Tabs():
                with gr.Tab('Face Detection'):
                    YOLOModel('deepghs/real_face_detection').make_ui(
                        default_model_name='face_detect_v0_s_yv11',
                        default_conf_threshold=0.25,
                    )
                with gr.Tab('Face Detection (Real Only)'):
                    YOLOModel('deepghs/yolo-face').make_ui(
                        default_model_name='yolov10s-face',   
                    )
                with gr.Tab('Head Detection'):
                    YOLOModel('deepghs/real_head_detection').make_ui(
                        default_model_name='head_detect_v0_s_yv11',
                        default_conf_threshold=0.18,
                    )
                with gr.Tab('Person Detection'):
                    YOLOModel('deepghs/real_person_detection').make_ui(
                        default_model_name='person_detect_v0_s_yv11',
                        default_conf_threshold=0.35,
                    )
                with gr.Tab('Generic'):
                    YOLOModel('deepghs/yolos').make_ui(
                        default_model_name='yolo11s',
                    )
               

    demo.queue(os.cpu_count()).launch()