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Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019

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hi, I follow your guidance in README.md. I use kitti split, use kitti_train_files_png_4frames.txt for training, use kitti_stereo_2015_test_files.txt to generate disparities, use "/training/disp_occ_0/" as gt. 2warp type is 2. I don't...

Hello, thank you for your code. I have a question. When I finished testing kitti-2015, I got the test result. So how do I get my depth map? I want...

Hi! Appreciate your code and work. I have small questions with the pre-trained model you provided. Is the model monodepth_ver_a/b/c correspond to the full-1/2/3 in the Table 1 and Table...

Hi, I can't seem to find your results on KITTI stereo or flow website under the name "_BridgeDepthFlow_". Is your work registered under a different name when submitted to KITTI?...

> File "BridgeDepthFlow-master/models/networks/correlation_package/correlation.py", line 4, in > import correlation_cuda > ImportError: libcudart.so.9.2: cannot open shared object file: No such file or directory Hello, I tried this code with cuda-9.0 and...

Hi, Excellent work! It is a good idea to combine the stereo matching and optical flow and use a single network. I have some questions. I saw the default epoch...

Hi, Sorry to bother you again. According to your paper, the 2-warp consistency loss should compare reconstructed $\ddot{I}$ via 2 warp and $\tilde{I}$ that reconstructed directly. However, in your train.py...