PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Estimate how objects move between frames in videos using advanced deep learning techniques.
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PWC-Net has 1.7k stars on GitHub. It has been forked 362 times. PWC-Net is written mainly in Python. It has been in active development since 2018. Its main topics are caffe, computer-vision, cvpr2018, deeplearning.
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
PWC-Net is an open-source project.
Yes. PWC-Net is free and open source — you can use, modify and self-host it.
PWC-Net is written mainly in Python.
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