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Inference time on pytorch version #129
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hi, i'm having trouble when I configure the python enviroment of the torch version, could you please teach me how to configure the enviroment of the torch version? |
You can refer to the RAFT environment requirements for configuration. |
I'm sorry, what is "the RAFT environment "? I follw the steps in Torch/readme.md, but it seems like cuda 11.2 of 3060 doesnt match with the cuda the code need.. |
1.RAFT is a well-known optical flow estimation algorithm which is also open source. |
Thanks! You saved my day! |
Hi, sorry to bother you again. I have successfully configure the enviroment of RAFT, the problem is RAFT is based on python3, and I still cant run pwcnet-torch in this enviroment successfully... by the way, here is my email: [email protected], if you feel inconvenient to explain here, we can communicate via email, thanks for you generous help again! |
I use the pytorch version of pwcnet to test the inference time, the image resolution is 1024 x 512, the graphics card used is RTX3060, and the inference time is 0.08s. There is a big gap with the reasoning time in the paper. Is this because the pytorch version is slower than the caffe version?
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