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PyTorchVideo · A deep learning library for video understanding research
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A deep learning library for video understanding research
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PyTorchVideo · A deep learning library for video understanding research PyTorchVideo Tutorials Docs GitHub A deep learning library for video understanding research Get Started Tutorials GitHub Based on PyTorch Built using PyTorch. Makes it easy to use all the PyTorch-ecosystem components. Reproducible Model Zoo Variety of state of the art pretrained video models and their associated benchmarks that are ready to use. Efficient Video Components Video-focused fast and efficient components that are easy to use. Supports accelerated inference on hardware. Get Started Install pytorchvideo (Confirm requirements following the instructions here ) pip install pytorchvideo Try Video classification with Model Zoo (For detailed instructions, refer to the PyTorchVideo Model Zoo Inference Tutorial # Import all the required components ... # Load pre-trained model model = torch.hub.load( 'facebookresearch/pytorchvideo' , 'slow_r50' , pretrained= True ) ...
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