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  ---
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  title: Cnocr
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- emoji: 🏢
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: streamlit
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  pinned: false
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  ---
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- # Configuration
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- `title`: _string_
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- Display title for the Space
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- `emoji`: _string_
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- Space emoji (emoji-only character allowed)
 
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- `colorFrom`: _string_
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- Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
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- `colorTo`: _string_
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- Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
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- `sdk`: _string_
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- Can be either `gradio` or `streamlit`
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-
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- `sdk_version` : _string_
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- Only applicable for `streamlit` SDK.
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- See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
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-
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- `app_file`: _string_
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- Path to your main application file (which contains either `gradio` or `streamlit` Python code).
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- Path is relative to the root of the repository.
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-
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- `pinned`: _boolean_
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- Whether the Space stays on top of your list.
 
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  ---
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  title: Cnocr
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+ emoji: 🌽
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: streamlit
 
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  pinned: false
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  ---
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+ # CnOCR
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+ [**CnOCR**](https://github.com/breezedeus/cnocr) is an **Optical Character Recognition (OCR)** toolkit for **Python 3**. It supports recognition of common characters in **English and numbers**, **Simplified Chinese**, **Traditional Chinese** (some models), and **vertical text** recognition. It comes with [**20+ well-trained models**](https://cnocr.readthedocs.io/zh/latest/models/) for different application scenarios and can be used directly after installation. Also, CnOCR provides simple training [commands](https://cnocr.readthedocs.io/zh/latest/train/) for users to train their own models. Welcome to join the WeChat contact group.
 
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+ <div align="center">
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+ <img src="https://huggingface.co/datasets/breezedeus/cnocr-wx-qr-code/resolve/main/wx-qr-code.JPG" alt="WeChat Group" width="300px"/>
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+ </div>
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+ The author also maintains **Planet of Knowledge** [**CnOCR/CnSTD Private Group**](https://t.zsxq.com/FEYZRJQ), welcome to join. The **Planet of Knowledge Private Group** will release some CnOCR/CnSTD related private materials one after another, including [**more detailed training tutorials**](https://articles.zsxq.com/id_u6b4u0wrf46e.html), **non-public models**, answers to problems encountered during usage, etc. This group also releases the latest research materials related to OCR/STD. In addition, **the author in the private group provides free training services for unique data twice a month**.
 
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+ ## Documentation
 
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+ See [CnOCR online documentation](https://cnocr.readthedocs.io/) , in Chinese.