离线视频ocr识别

sudo apt-get install libleptonica-dev libtesseract-dev
sudo apt-get install tesseract-ocr-chi-sim
python -m pip  install video-ocr

windows安装方法：
下载安装
https://digi.bib.uni-mannheim.de/tesseract/tesseract-ocr-w64-setup-5.3.3.20231005.exe

下载

wget https://github.com/simonflueckiger/tesserocr-windows_build/releases/download/tesserocr-v2.6.0-tesseract-5.3.1/tesserocr-2.6.0-cp311-cp311-win_amd64.whl
pip install tesserocr-2.6.0-cp311-cp311-win_amd64.whl
git clone https://github.com/PinkFloyded/video-ocr.git
cd video-ocr
notepad setup.py

去掉版本依赖，修改如下：

 install_requires=["tesserocr","scipy","opencv-python","numpy","tqdm","click","Pillow",],

之后安装

python setup.py install

如果遇到

RuntimeError: Failed to init API, possibly an invalid tessdata path: ./

则需要设置环境变量TESSDATA_PREFIX为C:\Program Files\Tesseract-OCR\tessdata\

默认只能识别英文，所以要把包改掉

查看默认位置：

Python 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import video_ocr
>>> video_ocr.__file__
'/home/catcatyu/.local/lib/python3.10/site-packages/video_ocr.py'
>>>

nano /home/catcatyu/.local/lib/python3.10/site-packages/video_ocr.py

修改124行添加lang=chi_sim 参数。

def _ocr(frame):pil_image = Image.fromarray(frame.image)text = tesserocr.image_to_text(pil_image,lang="chi_sim") #这行frame.text = textpbar.update()return frame

之后使用

video-ocr --sample_rate 10  1.mp4

即可识别。
效果：

使用--sample_rate 参数可以提高精度数字越大越好