Open HHIR opened 7 years ago
Thanks :) This repo is just the draft for this project, and the newest version is in my another repo opencv_contrib(branch gsoc_opencv). The final version will be part of OpenCV soon, if you want to try this moudle now, you can git clone https://github.com/THUKey/opencv_contrib.git and build it with opencv.
remember check out to branch gsoc_opencv :)
I had finished build everything well. but I don't have Depthsuperres, Latticefilter ... after building. I just have the bilater file that I don't know how can I test it! I will be happy if you give me more information. thanks
you can refer to the BilateralSolver.cpp of the repo The_Bilateral_Solver to build the depth demo with bilateralsolver. And the Lattice filter is not a part of this OpenCV moudle, you can refer to the permutohedral_lattice.cpp or the Adams' paper webpages(http://graphics.stanford.edu/papers/permutohedral/) to build it. By the way, you can try the colorization sample(opencv/build/bin/example_ximgproc_colorize)and the disparity filtering sample(opencv/build/bin/example_ximgproc_disparity_filtering) if you have built opencv_contrib with opencv :)
Hi all,
Below mentioned incorporation could make this more useful for the general audience.
1) Can you provide a bit documentation on opencv python interface for this?
2) Also, it would be great if you could implement the forward pass and back-propagation in python required for using this solver with deep neural networks, as is also suggested by the authors in the paper.
Thanks,
Hi, may I ask that how you get the confidence image?
For just stereo (not depth super resolution) are the steps any different?
it's so interesting :) i hope you will finish soon as possible