Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

Open source Python module for computer vision based on which I make some adaptations for Python 3

Performs Locality-Sensitive Hashing on images after computing their feature vectors using a feature detection algorithm like BRIEF or SIFT. Stores the result in an LSHash object using Redis. When querying a new image, a feature detection algorithm is run on it and after performing a similarity search, the closest matching image from the dataset is returned.

pytorch structural similarity (SSIM) loss

A Python implementation of the Kanade–Lucas–Tomasi (KLT) feature tracker