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mean field based inference for dense semantic video segmentation with higher order clique potentials (Pn Potts model)

License: MIT License

MATLAB 3.60% C 24.90% C++ 71.28% Batchfile 0.22%

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video_inference's Issues

The calculation of the high-order potential energy of P^n Potts model

How to understand the key code 'higher_order[curr_pix_indexM_+k] += (ho_param1costdata - ho_param2*higher_order_prob);' in the function of "DenseCRF::calculate_higherorder_pot(int layer)" in the line 1270 of densecrf.cpp? And What do these four variables(ho_param1, ho_param2, costdata, higher_order_prob) mean?

change input image

So if I want to run the code with my image, should I replace all the processed data related to the original image? And where can I find the algorithm generating the processing data.

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