humanflow2Official repository of Learning Multi-Human Optical Flow (IJCV 2019)
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OpticalflowtoolkitPython-based optical flow toolkit for existing popular dataset
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SoftNet-SpotMEShallow Optical Flow Three-Stream CNN For Macro and Micro-Expression Spotting From Long Videos
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video featuresExtract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.
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SpynetSpatial Pyramid Network for Optical Flow
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deep-action-detectionMulti-stream CNN architectures for action detection with actor-centric filtering
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Ransac Flow(ECCV 2020) RANSAC-Flow: generic two-stage image alignment
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CloverROS-based framework and RPi image to control PX4-powered drones 🍀
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PyTrxPyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.
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Flownet2 DockerDockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)
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flow1d[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation
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ToflowTOFlow: Video Enhancement with Task-Oriented Flow
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mmflowOpenMMLab optical flow toolbox and benchmark
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flow-io-opencvFork and OpenCV wrapper of the optical flow I/O and visualization code provided as part of the Sintel dataset [1].
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UnflowUnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
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TfoptflowOptical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
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Df Net[ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
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Optical-Flow-GPU-DockerCompute dense optical flow using TV-L1 algorithm with NVIDIA GPU acceleration.
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Py DenseflowExtract TVL1 optical flows in python (multi-process && multi-server)
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TfvosSemi-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.
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correlation flowROS package for Correlation Flow (ICRA 2018)
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flowattackAttacking Optical Flow (ICCV 2019)
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Video2tfrecordEasily 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.
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briefmatchBriefMatch real-time GPU optical flow
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CorrelationLayerPure Pytorch implementation of Correlation Layer that commonly used in learning based optical flow estimator
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SelflowSelFlow: Self-Supervised Learning of Optical Flow
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EPCEvery Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
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pwcnetPWC-Network with TensorFlow
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GuidedNetCaffe implementation for "Guided Optical Flow Learning"
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LiteflownetLiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
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CrowdFlowOptical Flow Dataset and Benchmark for Visual Crowd Analysis
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VoofVisual odometry using optical flow and neural networks
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FastmotHigh-performance multiple object tracking based on YOLO, Deep SORT, and optical flow
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Maskflownet[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
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Df VoDepth and Flow for Visual Odometry
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VppVideo++, a C++14 high performance video and image processing library.
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Liteflownet2A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
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EPPMCUDA implementation of the paper "Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow" in CVPR 2014.
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Opticalflow visualizationPython optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge
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back2futureUnsupervised Learning of Multi-Frame Optical Flow with Occlusions
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Hidden Two StreamCaffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
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PystepsPython framework for short-term ensemble prediction systems.
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Flownet2 TfFlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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FrvsrFrame-Recurrent Video Super-Resolution (official repository)
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PCLNetUnsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.
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Real-Time-Abnormal-Events-Detection-and-Tracking-in-Surveillance-SystemThe 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…
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BridgeDepthFlowBridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
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Flownet2FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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PyflowFast, accurate and easy to run dense optical flow with python wrapper
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CcCompetitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
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flownet2-ColabGoogle Colab notebook for running Nvidia flownet2-pytorch
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deepOFTensorFlow implementation for "Guided Optical Flow Learning"
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