PaddleOCR contains rich text detection, text recognition and end-to-end algorithms. With the experience from real world scenarios and the industry, PaddleOCR chooses DB and CRNN as the basic detection and recognition models, and proposes a series of models, named PP-OCR, for industrial applications after a series of optimization strategies. The PP-OCR model is aimed at general scenarios and forms a model library of different languages. Based on the capabilities of PP-OCR, PaddleOCR releases the PP-Structure toolkit for document scene tasks, including two major tasks: layout analysis and table recognition. In order to get through the entire process of industrial landing, PaddleOCR provides large-scale data production tools and a variety of prediction deployment tools to help developers quickly turn ideas into reality.
# Recommend
git clone https://github.com/PaddlePaddle/PaddleOCR
# If you cannot pull successfully due to network problems, you can switch to the mirror hosted on Gitee:
git clone https://gitee.com/paddlepaddle/PaddleOCR
# Note: The mirror on Gitee may not keep in synchronization with the latest project on GitHub. There might be a delay of 3-5 days. Please try GitHub at first.
cd PaddleOCR
pip3 install -r requirements.txt
If you getting this error OSError: [WinError 126] The specified module could not be found when you install shapely on windows.
Please try to download Shapely whl file from http://www.lfd.uci.edu/~gohlke/pythonlibs/#shapely.
Reference: Solve shapely installation on windows