PWC-Net
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PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
    Hello! I use the PWC-Net to calculate the optical from chair2 to chair5 and warped chair5 back to chair2 using the optical flow. However, the warped...
Hi, I congrats for your work. I would like to know whether at inference time is it possible to use this model as part of a framework that performs the...
I find that these values are multiplied by the upsampled optical flow.But I am not clear what's the meanning of these operations.Why the upsampled optical flow need to multiply corresponding...
Thank you for sharing your work! I am very interested in the last item of loss in the paper (trade-off item), but I am not very familiar with the Caffe...
Hi, I have no idea why mask is needed following code in PWC-Net/PyTorch/models/PWCNet.py mask = torch.autograd.Variable(torch.ones(x.size())).cuda() mask = nn.functional.grid_sample(mask, vgrid) # if W==128: # np.save('mask.npy', mask.cpu().data.numpy()) # np.save('warp.npy', output.cpu().data.numpy()) mask[mask0]...
Hi, Is that possible for your to tell me the performance of pwc_net_chair.pth.tar on FlyingThings3D dataset? On their sample set, the best AEPE I can get is about 14.8. I...
The parameter appears in PWC-Net/PyTorch/models/PWCNet.py line69 “self.corr = Correlation(pad_size=md, kernel_size=1, max_displacement=md, stride1=1, stride2=1, corr_multiply=1)”,what does the parameter corr_multiply mean?
I tried to adapt this and another variant (ARFlow https://github.com/lliuz/ARFlow), to pytorch 1.6.0 (I am also using CUDA 10.2). When running the auxillary test, it works when I have small...
Hello ,could you tell me how to solve the inconsistency of cund version? thank you very much.