PP LCNet x0 25 textline ori Introduction The text line orientation classification module primarily distinguishes the orientation of text lines and corrects them using post processing. In processes such as document scanning and license/certificate photography, to capture clearer images, the capture device may be rotated, resulting in text lines in various orientations. Standard OCR pipelines cannot handle such data well. By utilizing image classification technology, the orientation of text lines can be predetermined and adjusted, thereby enhancing the accuracy of OCR processing. The key accuracy metrics are as follow: Model Recognition Avg Accuracy(%) Model Storage Size (M) Introduction PP LCNet x0 25 textline ori 98.85 0.96 Text line classification model based on PP LCNet x0 25, with two classes: 0 degrees and 180 degrees Quick Start Installation 1. PaddlePaddle Please refer to the following commands to install PaddlePaddle using pip: For details about PaddlePaddle installation, please refer to the PaddlePaddle official website. 2. PaddleOCR Install the latest version of the PaddleOCR inference package from PyPI: Model Usage You can quickly experience the functionality with a singl…
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