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Update app.py
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app.py
CHANGED
@@ -88,22 +88,9 @@ def set_example_url(example: list) -> dict:
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title = """<h1 id="title">目标检测</h1>"""
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description = """
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Links to HuggingFace Models:
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- [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50)
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- [facebook/detr-resnet-101](https://huggingface.co/facebook/detr-resnet-101)
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- [hustvl/yolos-small](https://huggingface.co/hustvl/yolos-small)
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- [hustvl/yolos-tiny](https://huggingface.co/hustvl/yolos-tiny)
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"""
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models = ["facebook/detr-resnet-50","facebook/detr-resnet-101",'hustvl/yolos-small','hustvl/yolos-tiny']
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urls = ["https://c8.alamy.com/comp/J2AB4K/the-new-york-stock-exchange-on-the-wall-street-in-new-york-J2AB4K.jpg"]
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twitter_link = """
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[![](https://img.shields.io/twitter/follow/nickmuchi?label=@nickmuchi&style=social)](https://twitter.com/nickmuchi)
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"""
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css = '''
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h1#title {
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@@ -116,21 +103,21 @@ with demo:
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gr.Markdown(title)
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gr.Markdown(description)
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gr.Markdown(twitter_link)
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options = gr.Dropdown(choices=models,label='
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slider_input = gr.Slider(minimum=0.2,maximum=1,value=0.7,label='Prediction Threshold')
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with gr.Tabs():
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with gr.TabItem('
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with gr.Row():
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url_input = gr.Textbox(lines=2,label='
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img_output_from_url = gr.Image(shape=(650,650))
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with gr.Row():
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example_url = gr.Dataset(components=[url_input],samples=[[str(url)] for url in urls])
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url_but = gr.Button('
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with gr.TabItem('
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with gr.Row():
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img_input = gr.Image(type='pil')
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img_output_from_upload= gr.Image(shape=(650,650))
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@@ -149,7 +136,7 @@ with demo:
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example_url.click(fn=set_example_url,inputs=[example_url],outputs=[url_input])
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gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=
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demo.launch(enable_queue=True)
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title = """<h1 id="title">目标检测</h1>"""
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models = ["facebook/detr-resnet-50","facebook/detr-resnet-101",'hustvl/yolos-small','hustvl/yolos-tiny']
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urls = ["https://c8.alamy.com/comp/J2AB4K/the-new-york-stock-exchange-on-the-wall-street-in-new-york-J2AB4K.jpg"]
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css = '''
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h1#title {
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gr.Markdown(title)
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gr.Markdown(description)
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gr.Markdown(twitter_link)
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options = gr.Dropdown(choices=models,label='选择目标检测模型',show_label=True)
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slider_input = gr.Slider(minimum=0.2,maximum=1,value=0.7,label='Prediction Threshold')
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with gr.Tabs():
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with gr.TabItem('图片链接URL'):
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with gr.Row():
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url_input = gr.Textbox(lines=2,label='输入一个有效地图片地址URL')
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img_output_from_url = gr.Image(shape=(650,650))
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with gr.Row():
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example_url = gr.Dataset(components=[url_input],samples=[[str(url)] for url in urls])
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url_but = gr.Button('检测')
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with gr.TabItem('上传图片'):
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with gr.Row():
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img_input = gr.Image(type='pil')
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img_output_from_upload= gr.Image(shape=(650,650))
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example_url.click(fn=set_example_url,inputs=[example_url],outputs=[url_input])
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gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=supermy/Object-Detection/)")
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demo.launch(enable_queue=True)
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