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我采用GPU方式识别一张A4纸大小的文稿。用darknet-ocr识别时间为12秒(采用第二次识别的时间为准,剔除初始化带来的影响),其中CTPN和OCR的时间约各占一半。 如同样的文稿在老的Chineseocr(Keras Yolo + Pytorch OCR)上识别时只用了2秒左右。 这个性能差别有点太匪夷所思了,我还特意确认了darknet-ocr运行期间确实用到了GPU(通过nvidia-smi观察),各位不知道是什么样的情况? 我的环境是Ubuntu 18.04,GPU是Telsa P4。编译和运行过程中没有出现什么错误。
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我采用GPU方式识别一张A4纸大小的文稿。用darknet-ocr识别时间为12秒(采用第二次识别的时间为准,剔除初始化带来的影响),其中CTPN和OCR的时间约各占一半。
如同样的文稿在老的Chineseocr(Keras Yolo + Pytorch OCR)上识别时只用了2秒左右。
这个性能差别有点太匪夷所思了,我还特意确认了darknet-ocr运行期间确实用到了GPU(通过nvidia-smi观察),各位不知道是什么样的情况?
我的环境是Ubuntu 18.04,GPU是Telsa P4。编译和运行过程中没有出现什么错误。
The text was updated successfully, but these errors were encountered: