ubc-vision/COTR

Dense optical flow as in paper Figure 1 (c)

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Hi, thanks for the great work! I wonder how can I estimate the optical flow between two images. Say img1 is of shape [H, W], then can I basically reshape the grid coordinates to [H*W, 2] and then input to queries_a as in this demo?

Another question is that, what does force here mean?

Hi, you can try to use demo_single_pair.py which will triangulate a dense optical flow based on the sparse points. Directly reshaping the grid coordinates and feed it as input will be computational expensive.
force argument outputs correspondences for all the input points, and avoid the drifting check.

Thanks for your prompt reply. That makes a lot of sense