briefmatchBriefMatch real-time GPU optical flow
Stars: ✭ 36 (-77.36%)
EPPMCUDA implementation of the paper "Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow" in CVPR 2014.
Stars: ✭ 34 (-78.62%)
back2futureUnsupervised Learning of Multi-Frame Optical Flow with Occlusions
Stars: ✭ 39 (-75.47%)
flowattackAttacking Optical Flow (ICCV 2019)
Stars: ✭ 58 (-63.52%)
EskfROS Error-State Kalman Filter based on PX4/ecl. Performs GPS/Magnetometer/Vision Pose/Optical Flow/RangeFinder fusion with IMU
Stars: ✭ 63 (-60.38%)
VoofVisual odometry using optical flow and neural networks
Stars: ✭ 59 (-62.89%)
VcnVolumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
Stars: ✭ 118 (-25.79%)
PCLNetUnsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.
Stars: ✭ 29 (-81.76%)
LiteflownetLiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
Stars: ✭ 474 (+198.11%)
FastmotHigh-performance multiple object tracking based on YOLO, Deep SORT, and optical flow
Stars: ✭ 284 (+78.62%)
EPCEvery Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Stars: ✭ 27 (-83.02%)
Dispnet Flownet DockerDockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)
Stars: ✭ 78 (-50.94%)
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…
Stars: ✭ 35 (-77.99%)
Netdef modelsRepository for different network models related to flow/disparity (ECCV 18)
Stars: ✭ 130 (-18.24%)
pwcnetPWC-Network with TensorFlow
Stars: ✭ 72 (-54.72%)
PyoptflowOptical Flow estimation in pure Python
Stars: ✭ 49 (-69.18%)
VppVideo++, a C++14 high performance video and image processing library.
Stars: ✭ 655 (+311.95%)
BridgeDepthFlowBridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
Stars: ✭ 114 (-28.3%)
Back2future.pytorchUnsupervised Learning of Multi-Frame Optical Flow with Occlusions
Stars: ✭ 104 (-34.59%)
CorrelationLayerPure Pytorch implementation of Correlation Layer that commonly used in learning based optical flow estimator
Stars: ✭ 22 (-86.16%)
Flownet2 TfFlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Stars: ✭ 378 (+137.74%)
ToflowTOFlow: Video Enhancement with Task-Oriented Flow
Stars: ✭ 314 (+97.48%)
flow1d[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation
Stars: ✭ 91 (-42.77%)
PytoflowThe py version of toflow → https://github.com/anchen1011/toflow
Stars: ✭ 83 (-47.8%)
Ransac Flow(ECCV 2020) RANSAC-Flow: generic two-stage image alignment
Stars: ✭ 265 (+66.67%)
ArflowThe official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
Stars: ✭ 134 (-15.72%)
Pwc NetPWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Stars: ✭ 1,142 (+618.24%)
flownet2-ColabGoogle Colab notebook for running Nvidia flownet2-pytorch
Stars: ✭ 23 (-85.53%)
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.
Stars: ✭ 151 (-5.03%)
VoxelmorphUnsupervised Learning for Image Registration
Stars: ✭ 1,057 (+564.78%)
deep-action-detectionMulti-stream CNN architectures for action detection with actor-centric filtering
Stars: ✭ 24 (-84.91%)
flow-io-opencvFork and OpenCV wrapper of the optical flow I/O and visualization code provided as part of the Sintel dataset [1].
Stars: ✭ 20 (-87.42%)
Adns3080Example code for the ADNS-3080 optical flow sensor
Stars: ✭ 36 (-77.36%)
SoftNet-SpotMEShallow Optical Flow Three-Stream CNN For Macro and Micro-Expression Spotting From Long Videos
Stars: ✭ 17 (-89.31%)
SpynetSpatial Pyramid Network for Optical Flow
Stars: ✭ 158 (-0.63%)
Optical-Flow-GPU-DockerCompute dense optical flow using TV-L1 algorithm with NVIDIA GPU acceleration.
Stars: ✭ 48 (-69.81%)
Flownet2FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Stars: ✭ 938 (+489.94%)
Pwc Net pytorchpytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"
Stars: ✭ 111 (-30.19%)
correlation flowROS package for Correlation Flow (ICRA 2018)
Stars: ✭ 28 (-82.39%)
PyflowFast, accurate and easy to run dense optical flow with python wrapper
Stars: ✭ 564 (+254.72%)
deepOFTensorFlow implementation for "Guided Optical Flow Learning"
Stars: ✭ 26 (-83.65%)
Flownet2 DockerDockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)
Stars: ✭ 137 (-13.84%)
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.
Stars: ✭ 31 (-80.5%)
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)
Stars: ✭ 415 (+161.01%)
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.
Stars: ✭ 225 (+41.51%)
DdflowDDFlow: Learning Optical Flow with Unlabeled Data Distillation
Stars: ✭ 101 (-36.48%)
CcCompetitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Stars: ✭ 348 (+118.87%)
PystepsPython framework for short-term ensemble prediction systems.
Stars: ✭ 159 (+0%)
FrvsrFrame-Recurrent Video Super-Resolution (official repository)
Stars: ✭ 157 (-1.26%)
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.
Stars: ✭ 137 (-13.84%)
Ficm🎮 [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!
Stars: ✭ 92 (-42.14%)
SelflowSelFlow: Self-Supervised Learning of Optical Flow
Stars: ✭ 319 (+100.63%)