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4a4b4c1
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1 Parent(s): 5f20f72

Update app.py

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Files changed (1) hide show
  1. app.py +11 -10
app.py CHANGED
@@ -104,13 +104,13 @@ examples = [['images/1.jpg']]
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  with gr.Blocks(title='RapidOCR') as demo:
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  gr.Markdown("""
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- <h1><center><a href="https://github.com/RapidAI/RapidOCR" target="_blank">RapidOCR</a></center></h1>
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- ### Docs: [Docs](https://rapidocr.rtfd.io/)
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- ### Parameters docs: [link](https://github.com/RapidAI/RapidOCR/tree/main/python#configyaml%E4%B8%AD%E5%B8%B8%E7%94%A8%E5%8F%82%E6%95%B0%E4%BB%8B%E7%BB%8D)
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- - **box_thresh**: 检测到的框是文本的概率,值越大,框中是文本的概率就越大。存在漏检时,调低该值。
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- - **unclip_ratio**: 控制文本检测框的大小,值越大,检测框整体越大。在出现框截断文字的情况,调大该值。
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- - **text_score**: 文本识别结果是正确的置信度,值越大,显示出的识别结果更准确。存在漏检时,调低该值。""")
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  with gr.Box():
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  with gr.Row():
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  box_thresh = gr.Slider(minimum=0, maximum=1.0, value=0.5,
@@ -125,10 +125,11 @@ with gr.Blocks(title='RapidOCR') as demo:
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  label='text_score', step=0.1,
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  interactive=True,
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  info='[0, 1.0]')
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-
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- input_img = gr.Image(type='filepath', label='Input')
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- out_img = gr.Image(type='filepath', label='Output_image')
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- out_txt = gr.outputs.Textbox(type='text', label='Output_text')
 
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  button = gr.Button('Submit')
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  button.click(fn=inference,
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  inputs=[input_img, box_thresh, unclip_ratio, text_score],
 
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  with gr.Blocks(title='RapidOCR') as demo:
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  gr.Markdown("""
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+ <center><a href="https://github.com/RapidAI/RapidOCR" target="_blank"><img src="https://raw.githubusercontent.com/RapidAI/RapidOCR/main/assets/RapidOCR_LOGO.png" width="30%"></a></center>
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+ ## Docs: [Docs](https://rapidocr.rtfd.io/)
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+ ## Parameters docs: [link](https://github.com/RapidAI/RapidOCR/tree/main/python#configyaml%E4%B8%AD%E5%B8%B8%E7%94%A8%E5%8F%82%E6%95%B0%E4%BB%8B%E7%BB%8D)
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+ #### `box_thresh`: 检测到的框是文本的概率,值越大,框中是文本的概率就越大。存在漏检时,调低该值。
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+ #### `unclip_ratio`: 控制文本检测框的大小,值越大,检测框整体越大。在出现框截断文字的情况,调大该值。
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+ #### `text_score`: 文本识别结果是正确的置信度,值越大,显示出的识别结果更准确。存在漏检时,调低该值。""")
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  with gr.Box():
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  with gr.Row():
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  box_thresh = gr.Slider(minimum=0, maximum=1.0, value=0.5,
 
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  label='text_score', step=0.1,
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  interactive=True,
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  info='[0, 1.0]')
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+ with gr.Row():
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+ input_img = gr.Image(type='filepath', label='Input')
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+ with gr.Column(scale=2):
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+ out_img = gr.Image(type='filepath', label='Output_image')
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+ out_txt = gr.outputs.Textbox(type='text', label='Output_text')
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  button = gr.Button('Submit')
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  button.click(fn=inference,
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  inputs=[input_img, box_thresh, unclip_ratio, text_score],