tensorflow-bilateral-permutohedral
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jasonbunk
Any progress on implementing CRF RNN in tensorflow?
The receptive field of bilateral filter is the whole image. Do you have any suggestion on implementing an window bilateral filter.
About the receptive field, in theory a Gaussian has an infinite receptive field, but in the algorithm it is approximated by a series of filters on a lattice that are only 3 lattice points wide (the filter coefficients are just 1,2,1 on each lattice axis). You can change the spatial window size with the argument "stdv_space". Details about the lattice are in the paper: http://graphics.stanford.edu/papers/permutohedral/permutohedral.pdf
About the describe function, I added it to test_utils, it just prints debug info about a variable.
The trained_segment_weights.pkl file is generated by test/test_segment.py after letting it train and keyboard-interrupting it to stop the training. I pushed a commit with the describe function.