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怎么将PaddleOCR的检测模型和识别模型串联起来然后部署到高通的SNPE框架上?现在已经将检测模型和识别模型都转换生成了dlc格式,并且能在SNPE上进行snpe-net-run,但是现在不知道怎么完成一整套流程的推理,比如输入图像再经过检测模型的dlc,再经过识别模型的dlc得到的输出再从raw格式变成图像的形式输出,这个过程需要图像的预处理吗?
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当然是需要的。 整个推理的过程,可以参考下这里的实现 https://github.com/PaddlePaddle/FastDeploy/blob/develop/fastdeploy/vision/ocr/ppocr/ppocr_v3.h
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怎么将PaddleOCR的检测模型和识别模型串联起来然后部署到高通的SNPE框架上?现在已经将检测模型和识别模型都转换生成了dlc格式,并且能在SNPE上进行snpe-net-run,但是现在不知道怎么完成一整套流程的推理,比如输入图像再经过检测模型的dlc,再经过识别模型的dlc得到的输出再从raw格式变成图像的形式输出,这个过程需要图像的预处理吗?
The text was updated successfully, but these errors were encountered: