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Update app.py
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app.py
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@@ -103,14 +103,10 @@ def inference(img_path, box_thresh=0.5, unclip_ratio=1.6, text_score=0.5):
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title = 'RapidOCR Demo (捷智OCR)'
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description = """
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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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- `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。取值范围:[1.5, 2.0]
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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。取值范围:[0, 1.0]
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"""
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article = """<p style='text-align: center'> Completely open source, free and support offline deployment of multi-platform and multi-language OCR SDK <a href='https://github.com/RapidAI/RapidOCR'>Github Repo</a></p>
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title = 'RapidOCR Demo (捷智OCR)'
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description = """
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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。取值范围:[0, 1.0]
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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。取值范围:[1.5, 2.0]
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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。取值范围:[0, 1.0]
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"""
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article = """<p style='text-align: center'> Completely open source, free and support offline deployment of multi-platform and multi-language OCR SDK <a href='https://github.com/RapidAI/RapidOCR'>Github Repo</a></p>
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