Top 76 optical-flow open source projects

[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

Depth and Flow for Visual Odometry

Python-based optical flow toolkit for existing popular dataset

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

[ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency

Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge

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

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Extract TVL1 optical flows in python (multi-process && multi-server)

Python framework for short-term ensemble prediction systems.

Spatial Pyramid Network for Optical Flow

Frame-Recurrent Video Super-Resolution (official repository)

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

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

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

Easily convert RGB video data (e.g. .avi) to the TensorFlow tfrecords file format for training e.g. a NN in TensorFlow. This implementation allows to limit the number of frames per video to be stored in the tfrecords.

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

Repository for different network models related to flow/disparity (ECCV 18)

Dense Matching Benchmark

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

🎮 [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!

The py version of toflow → https://github.com/anchen1011/toflow

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

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

ROS Error-State Kalman Filter based on PX4/ecl. Performs GPS/Magnetometer/Vision Pose/Optical Flow/RangeFinder fusion with IMU

Unsupervised Learning for Image Registration

Optical Flow estimation in pure Python

Example code for the ADNS-3080 optical flow sensor

An implementation of several tracking algorithms based on Lucas Kanade algorithms

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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

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

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

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)

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

SelFlow: Self-Supervised Learning of Optical Flow

TOFlow: Video Enhancement with Task-Oriented Flow

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Cool Vision projects

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnorma…

Google Colab notebook for running Nvidia flownet2-pytorch

BriefMatch real-time GPU optical flow

No description or website provided.

PWC-Network with TensorFlow

Multi-stream CNN architectures for action detection with actor-centric filtering

Visual odometry using optical flow and neural networks

Fork and OpenCV wrapper of the optical flow I/O and visualization code provided as part of the Sintel dataset [1].

A method about optimizing the facial landmark detection based on Kalman Filter, Optical Flow and Dlib

Shallow Optical Flow Three-Stream CNN For Macro and Micro-Expression Spotting From Long Videos

CUDA implementation of the paper "Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow" in CVPR 2014.

Compute dense optical flow using TV-L1 algorithm with NVIDIA GPU acceleration.

Vision-based Robot 3D Pose and Velocities Estimations

Face Detection and tracking using CamShift, Kalman Filter, Optical Flow