Comments (2)
PKUZHOU
commented on August 26, 2024
Sorry, I have no idea about this error in Int8 mode. However, from my point of view, adopting Int8 quantization may not bring much overall acceleration, since the network inference time is less than other operations such as image crop, resize and NMS
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jhgfkdj
commented on August 26, 2024
i met this problem as well , have you solved it?
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Related Issues (20)
- could not parse layer type PReLU? HOT 4
- Prelu replacement - "Weights for scale layer" doesn't exists HOT 1
- 每次启动时间过长，能否将生成的中间文件保存下来？ HOT 2
- 请问使用Relu layer, Scale layer 和 ElementWise替换prelu需要重新训练吗？ HOT 2
- stack smashing detected HOT 1
- core dump from detect function HOT 2
- MTCNN not worked when continueously pass images?
- 输入640x480的话是重新生成这个size的caffe模型吗
- 输出信息
- why add means? HOT 5
- Problem about model training
- 请问现在这个项目是还没有跑通嘛？只有PNet和RNet HOT 12
- bug the sample with image is not working HOT 1
- 多进程运行报错
- inference speed too slow HOT 1
- few quotations on gpu version HOT 2
- core dumped HOT 7
- Intuition of replacing PReLU HOT 9
- tensorrt speed improvement interms of libtorch with cuda or caffe with cuda?
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