image and video datasets and models for torch deep learning
Project description
torchvision
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.
Installation
Anaconda:
conda install torchvision -c pytorch
pip:
pip install torchvision
From source:
python setup.py install
Image Backend
Torchvision currently supports the following image backends:
- Pillow (default)
- Pillow-SIMD - a much faster drop-in replacement for Pillow with SIMD. If installed will be used as the default.
- accimage - if installed can be activated by calling
torchvision.set_image_backend('accimage')
Documentation
You can find the API documentation on the pytorch website: http://pytorch.org/docs/master/torchvision/
Contributing
We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us.
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