suport torch inference #320
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模型结构转换代码来源项目 https://github.com/frotms/PaddleOCR2Pytorch?tab=readme-ov-file
1.将paddleOCRv4模型转换为pth模型，对齐结构和推理, 模型暂时放在modelscope, 暂只支持中英文的普通模型和server模型https://www.modelscope.cn/models/RapidAI/RapidOCR/files
2.进行benchmark精度测试，同参数下与onnx模型精度一致
engine = RapidOCR(det_use_cuda=True,rec_use_cuda=True,cls_use_cuda=True, det_box_thresh=0.6, det_unclip_ratio=1.5)
det: {'precision': 0.8628, 'recall': 0.8266, 'hmean': 0.8443, 'avg_elapse': 0.0907}
rec: 0.8
3.测试gpu推理耗时
[det,cls,rec]
gpu(4090):
[0.05285873200000424, 0.01902461051940918, 0.05982065200805664]
cpu(4 核 AMD EPYC 7453):
[0.2206176019999475, 0.03970503807067871, 0.3738100528717041]