PWC-Net
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NVlabs
Inference time on pytorch version
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?
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?
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. 2.The cuda version I use is 11.1. The Pytorch version is 1.9.1. 3.Also, see your question under Flowformer. That's due to a lack of memory on the GPU, try using the lightweight version provided by the author.
1.RAFT is a well-known optical flow estimation algorithm which is also open source. 2.The cuda version I use is 11.1. The Pytorch version is 1.9.1. 3.Also, see your question under Flowformer. That's due to a lack of memory on the video card, try using the lightweight version provided by the author.
Thanks! You saved my day!
1.RAFT is a well-known optical flow estimation algorithm which is also open source. 2.The cuda version I use is 11.1. The Pytorch version is 1.9.1. 3.Also, see your question under Flowformer. That's due to a lack of memory on the GPU, try using the lightweight version provided by the author.
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！