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I've tried to compare the flownet2-pytorch results to flownet2-docker results
./run-network.sh -n FlowNet2 -v data/0000000-imgL.png data/0000001-imgL.png flow.flo
run_pair.py
command.I get a very large difference(L2 norm of 81202.305) between the predicted flows, basically flownet2-pytorch is not working for some reason.
Things that I haven't looked at yet are pre-processing: