A deep learning library for video understanding research. - facebookresearch/pytorchvideo. PyTorchVideo is a deeplearning library with a focus on video understanding work. PytorchVideo provides resusable, modular and efficient components needed to accelerate the video understanding research. PyTorchVideo is developed using PyTorch and supports different deeplearning video components like video models, video datasets, and video-specific transforms.
A deep learning library for video understanding research.
Check the website for more information.
A PyTorchVideo-accelerated X3D model running on a Samsung Galaxy S10 phone. The model runs ~8x faster than real time, requiring roughly 130 ms to process one second of video.
A PyTorchVideo-based SlowFast model performing video action detection.
PyTorchVideo is a deeplearning library with a focus on video understanding work. PytorchVideo provides resusable, modular and efficient components needed to accelerate the video understanding research. PyTorchVideo is developed using PyTorch and supports different deeplearning video components like video models, video datasets, and video-specific transforms.
Key features include:
Install PyTorchVideo inside a conda environment(Python >=3.7) with
pip install pytorchvideo
For detailed instructions please refer to INSTALL.md.
We provide a large set of baseline results and trained models available for download in the PyTorchVideo Model Zoo.
Here is the growing list of PyTorchVideo contributors in alphabetical order (let us know if you would like to be added): Aaron Adcock, Amy Bearman, Bernard Nguyen, Bo Xiong, Chengyuan Yan, Christoph Feichtenhofer, Dave Schnizlein, Haoqi Fan, Heng Wang, Jackson Hamburger, Jitendra Malik, Kalyan Vasudev Alwala, Matt Feiszli, Nikhila Ravi, Ross Girshick, Tullie Murrell, Wan-Yen Lo, Weiyao Wang, Yanghao Li, Yilei Li, Zhengxing Chen, Zhicheng Yan.
We welcome new contributions to PyTorchVideo and we will be actively maintaining this library! Please refer to
CONTRIBUTING.md for full instructions on how to run the code, tests and linter, and submit your pull requests.
Author: facebookresearch The Demo/Documentation: View The Demo/Documentation Download Link: Download The Source Code Official Website: https://github.com/facebookresearch/pytorchvideo License: PyTorchVideo is released under the Apache 2.0 License.
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Pytorch is a Deep Learning Library Devoloped by Facebook. it can be used for various purposes such as Natural Language Processing , Computer Vision, etc
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This is a regular classification problem with PyTorch and this is exactly like the one in the previous post of the “PyTorch for Deep Learning” series. The Reason for doing writing the post is for some more reference to classification problem and better understanding.
PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning.