Torchvision version Apr 3, 2022 · The corresponding torchvision version for 0. Download the wheel files for torchvision-0. Torchvision continues to improve its image decoding capabilities. 4. There you can find which version, got release with which version! This video will show you how to check the Torchvision version by printing the version parameter First, we import Torchvision import torchvision Find the latest versions of torchvision, a Python package for computer vision tasks, for different platforms and Python versions. 2 from the links provided. io. 1 is 0. . video_reader - This needs ffmpeg to be installed and torchvision to be built from source. Access and install previous PyTorch versions, including binaries and instructions for all platforms. decode torchvision. Things are a bit different this time: to enable it, you'll need to pip install torchvision-extra-decoders, and the decoders are available in torchvision as torchvision. The pyav package uses the 3rd party PyAv library. set_video_backend (backend) [source] ¶ Specifies the package used to decode videos. 0 to torchvision-0. For this version, we added support for HEIC and AVIF image formats. 1. Currently, this is only supported on Linux. It is a Pythonic binding for the FFmpeg libraries. decode_heic() and torchvision. one of {‘pyav’, ‘video_reader’}. 10. Only if you couldn't find it, you can have a look at the torchvision release data and pytorch's version. Jun 4, 2025 · Torchvision currently supports the following video backends: pyav (default) - Pythonic binding for ffmpeg libraries. 2. There shouldn't be any conflicting version of ffmpeg installed. Parameters: backend (string) – Name of the video backend. The easiest way is to look it up in the previous versions section. 11. oxvuih clzdvl zdbrs lhsl fctifp dhwmqc ldcsoo ixfp velumr vns