generate stereo estimate
amalF/deep_stereo_matching
This is a TensorFlow implementation of the stereo matching algorithm described in the paper "Efficient Deep Learning for Stereo Matching". The code is tested using Tensorflow r1.4 under Ubuntu 14.04 with Python 2.7. The KITTI 2015 dataset has been used for training. This dataset consists of total of 200 scenes for training and of 200 scenes for testing. For more details, please check the KITTI website.