Flownet2.tf
Off-the-shelf FlowNet module in TensorFlow-1.2.0
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Liteflownet | 543 | a year ago | other | C++ | ||||||
| LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%) | ||||||||||
| Selflow | 371 | 2 years ago | 6 | mit | Python | |||||
| SelFlow: Self-Supervised Learning of Optical Flow | ||||||||||
| Flownet2 Tf | 362 | 6 years ago | 68 | mit | Python | |||||
| FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks | ||||||||||
| Tfoptflow | 330 | 5 years ago | 20 | mit | Jupyter Notebook | |||||
| 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) | ||||||||||
| Unflow | 217 | 4 years ago | 9 | mit | Python | |||||
| UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss | ||||||||||
| Tfvos | 150 | 5 years ago | mit | Jupyter Notebook | ||||||
| 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. | ||||||||||
| Video2tfrecord | 142 | 2 years ago | 6 | mit | Python | |||||
| 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. | ||||||||||
| Kfnet | 88 | 4 years ago | 2 | mit | Python | |||||
| KFNet: Learning Temporal Camera Relocalization using Kalman Filtering (CVPR 2020 Oral) | ||||||||||
| Pwcnet | 77 | a year ago | 14 | mit | Python | |||||
| PWC-Network with TensorFlow | ||||||||||
| Super Slomo Tf2 | 57 | a year ago | 4 | Python | ||||||
| Tensorflow 2 implementation of Super SloMo paper | ||||||||||
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