tfoptflow
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)
Predict motion in videos using a TensorFlow tool that trains and tests optical flow models.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeOptical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
tfoptflow has 530 stars on GitHub. It has been forked 132 times. tfoptflow is written mainly in Jupyter Notebook. It has been in active development since 2018. tfoptflow is available under the MIT license. Its main topics are computer-vision, cvpr2018, deep-learning, flying-chairs.
What is tfoptflow?
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)
Is tfoptflow open source?
tfoptflow is an open-source project. It is released under the MIT license.
Is tfoptflow free?
Yes. tfoptflow is free and open source — you can use, modify and self-host it.
What license does tfoptflow use?
tfoptflow is available under the MIT license.
What language is tfoptflow written in?
tfoptflow is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/philferriere-tfoptflow.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.