Comments (1)
We set no limitations on the max flow that the model can predict. It probably depends on the distribution of the training dataset. You can check out the supplementary material of this paper https://arxiv.org/pdf/1504.06852.pdf
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Related Issues (19)
- extras/stnbhwd is empty? HOT 1
- reconstruct second image with flow HOT 3
- How to build your extra folder files in Pytorch? HOT 10
- Training on a different dataset HOT 3
- Training time written on your paper. HOT 1
- performance of flownetS with ft* on kitti HOT 3
- does image format has to be “ppm” HOT 2
- Can I use another dataset on this model for example, KTH action dataset HOT 1
- Some questions about the flo result.
- Error:bad argument #1 to 'copy' (sizes do not match HOT 1
- Reimplementation in Tensorflow HOT 1
- Random rotation in training HOT 1
- Training on a custom dataset
- images not normalized HOT 1
- some question about BilinearSamplerBHWD.cu HOT 1
- Compilation on a gcc 6 toolchain? HOT 6
- module 'spynet' not found : No LuaRocks module found for spynet HOT 2
- error in spynet.easycomputeflow HOT 3
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