https://github.com/breezedeus/Pix2Text

pip install pix2text
    # pix2text in d:\usr\python310\lib\site-packages (1.1.4)
    # vscode 打开这个文件夹 D:\usr\Python310\Lib\site-packages\pix2text\cli.py ，python 环境选 d:\usr\python310 里的 python 调试看看

p2t predict -l en,ch_sim --resized-shape 768 --file-type text_formula -i assets/formula.jpg --save-debug-res out-debug-ch.jpg
    p2t predict -l en,ch_sim --resized-shape 768 --file-type text_formula -i docs/examples/mixed.jpg --save-debug-res out-debug-mixed.jpg  
    p2t predict -l en,ch_sim --resized-shape 768 --file-type text_formula -i docs/examples/en1.jpg --save-debug-res out-debug-en1.jpg
    # 成功识别

p2t predict -l en,ch_sim --mfd-config '{"model_name": "mfd-pro-1.5", "model_backend": "onnx"}' --formula-ocr-config '{"model_name":"mfr-pro-1.5","model_backend":"onnx"}' --text-ocr-config '{"rec_model_name": "doc-densenet_lite_666-gru_large"}' --resized-shape 768 --file-type text_formula -i docs/examples/en1.jpg --save-debug-res out-debug-en1.jpg
    # 付费模型

C:\Users\Administrator\AppData\Roaming\pix2text\1.1\table-rec\model.safetensors
    # 模型保存在这了












conda create formulaocr python==3.10 pip

pip install -r .\requirements.txt