Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Unsupervised Learning for Image Registration

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

FILM: Frame Interpolation for Large Motion, In ECCV 2022.

ROS-based framework and RPi image to control PX4-powered drones 🍀

CoTracker is a model for tracking any point (pixel) on a video.

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Python framework for short-term ensemble prediction systems.

Fast, accurate and easy to run dense optical flow with python wrapper

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

OpenMMLab optical flow toolbox and benchmark

Depth and Flow for Visual Odometry

[TPAMI'23] Unifying Flow, Stereo and Depth Estimation

Video++, a C++14 high performance video and image processing library.

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

TOFlow: Video Enhancement with Task-Oriented Flow

Python-based optical flow toolkit for existing popular dataset