TapLab
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Sixkplus
Hi, the code to realize the flow `flow[0,:,:,0] = cv2.resize(np.float32(mvCont[0,:,:,1]), (0,0), fx=feat_size[1]/input_size[1], fy=feat_size[0]/input_size[0], interpolation = cv2.INTER_LINEAR)*feat_size[0]/input_size[0]` `flow[0,:,:,1] = cv2.resize(np.float32(mvCont[0,:,:,0]), (0,0), fx=feat_size[1]/input_size[1], fy=feat_size[0]/input_size[0], interpolation = cv2.INTER_LINEAR)*feat_size[1]/input_size[1]` Why there is reversion that...
The basemodel in L10 and seg_opr in L11 of network.py are NOT FOUND in this repo. And the utils.py is also NOT FOUND. I can't reproduce your validation result, could...
Thanks for your great work. Where is the code to implement Residual-Guided Frame Selection?
Thanks for releasing your code! Can you show more about how to train the network?
