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Why is there 20 times larger on the optical flow predicted by **PWC-Net**?
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I use pytorch-pwc to generate the .flo file but it seems to be no data within the object,
Firstly, the input to pwc I used is the original image,
![000001](https://user-images.githubusercontent.com…
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Seria um cliente CLI que resolveria pequenas questões acumulando código para desenvolvimento futuro.
```console
$ pwc esocial open # abrir o navegador para inspeção
$ pwc esocial get 7 # baixar…
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I hope to use PWC-Net extract optflow because dense-flow is too slow. But when I use PWC-Net optflow to train model, the acc is below 70%. And I also try farneback(t=0) instead tvl1(t=1) when use den…
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### I am trying to run the code on Darcy_rectangular_pwc and getting following error. Please look into it. Thanks
code:
```
branch = tf.keras.Sequential(
[
tf.keras.layers…
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How did you construct no dense version PWC-Net In the PWC-net paper.
I guess you get rid of just dense connection. like,
(corr) -> (128 Ch conv) -> (128 Ch conv) -> (96 Ch conv) -> (64 Ch conv)…
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What's the difference between four caffe models? Which model has the highest accuracy?Which one equal to the pytorch/pwc_net.pth.tar? Thank you!
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Hello.
I would like to know how to disable cost volume part of PWC-Net in the PyTorch implementation.
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Could you please show me any solutions to this problem?
`Executing /usr/bin/caffe test -model tmp/deploy.prototxt -weights ./model/pwc_net.caffemodel -iterations 2 -gpu 0
I1126 15:47:04.038105 22832…
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thanks for your nice job, will you release the code of autoflow or the pretrained weights of pwc-net trained by autoflow dataset?
jucic updated
2 years ago