torchvision
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.
Installation
TorchVision requires PyTorch 1.1 or newer.
Anaconda:
conda install torchvision -c pytorchpip:
pip install torchvisionFrom source:
python setup.py install
# or, for OSX
# MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++ python setup.py installBy default, GPU support is built if CUDA is found and torch.cuda.is_available() is true. It’s possible to force building GPU support by setting FORCE_CUDA=1 environment variable, which is useful when building a docker image.
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')
C++ API
TorchVision also offers a C++ API that contains C++ equivalent of python models.
Installation From source:
mkdir build
cd build
cmake ..
make
make installDocumentation
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.
5 maintainers
Metadata
5 maintainers
Release files for torchvision 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| torchvision-0.4.0-cp37-cp37m-manylinux1_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| torchvision-0.4.0-cp37-cp37m-macosx_10_7_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | macOS 10.7+ x86-64 | Details |
| torchvision-0.4.0-cp36-cp36m-manylinux1_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| torchvision-0.4.0-cp36-cp36m-macosx_10_7_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | macOS 10.7+ x86-64 | Details |
| torchvision-0.4.0-cp35-cp35m-manylinux1_x86_64.whl | CPython 3.5 | CPython 3.5 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| torchvision-0.4.0-cp35-cp35m-macosx_10_6_x86_64.whl | CPython 3.5 | CPython 3.5 pymalloc | macOS 10.6+ x86-64 | Details |
| torchvision-0.4.0-cp27-cp27mu-manylinux1_x86_64.whl | CPython 2.7 | CPython 2.7 pymalloc wide-unicode | Linux glibc 2.5+ x86-64 | Details |
| torchvision-0.4.0-cp27-cp27m-manylinux1_x86_64.whl | CPython 2.7 | CPython 2.7 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| torchvision-0.4.0-cp27-cp27m-macosx_10_6_x86_64.whl | CPython 2.7 | CPython 2.7 pymalloc | macOS 10.6+ x86-64 | Details |
Total release size: 46.4 MB
Release files / torchvision-0.4.0-cp37-cp37m-manylinux1_x86_64.whl
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Release files / torchvision-0.4.0-cp37-cp37m-macosx_10_7_x86_64.whl
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Release files / torchvision-0.4.0-cp36-cp36m-manylinux1_x86_64.whl
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Release files / torchvision-0.4.0-cp36-cp36m-macosx_10_7_x86_64.whl
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Release files / torchvision-0.4.0-cp35-cp35m-manylinux1_x86_64.whl
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Release files / torchvision-0.4.0-cp27-cp27mu-manylinux1_x86_64.whl
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Release files / torchvision-0.4.0-cp27-cp27m-manylinux1_x86_64.whl
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Release files / torchvision-0.4.0-cp27-cp27m-macosx_10_6_x86_64.whl
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