- 03 Nov, 2021 1 commit
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Marko Kohtala authored
torchvision compatible with torch 1.9.1 was missing in table of supported versions.
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- 29 Oct, 2021 1 commit
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Aditya Oke authored
* Update readme for new torch * Fix typo
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- 19 Oct, 2021 2 commits
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Zhiqiang Wang authored
Co-authored-by:Vasilis Vryniotis <datumbox@users.noreply.github.com>
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Harish Kulkarni authored
* Updated compatibility matrix to include LTS version * Backed out inadvertent change Co-authored-by:Vasilis Vryniotis <datumbox@users.noreply.github.com>
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- 28 Sep, 2021 1 commit
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Prabhat Roy authored
* Added documentation for video backend * Update README.rst Co-authored-by:
Nicolas Hug <contact@nicolas-hug.com> Co-authored-by:
Nicolas Hug <contact@nicolas-hug.com>
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- 10 Sep, 2021 1 commit
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Vasilis Vryniotis authored
* Add deprecation warnings on vision::models * Change the C++ example. * Chage readme. * Update deprecation warning.
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- 23 Aug, 2021 2 commits
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Philip Meier authored
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Nikita Shulga authored
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- 29 Jun, 2021 1 commit
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Adam J. Stewart authored
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- 21 May, 2021 1 commit
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Vasilis Vryniotis authored
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- 21 Apr, 2021 1 commit
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Zhiqiang Wang authored
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- 19 Apr, 2021 1 commit
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scott-vsi authored
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- 09 Mar, 2021 1 commit
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Philip Meier authored
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- 20 Jan, 2021 1 commit
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Philip Meier authored
* upgrade status badge from Travis CI to CircleCI * remove CircleCI status badge Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
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- 08 Jan, 2021 1 commit
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Vince authored
* Update README.rst * Commit suggested changes Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com> * Commit suggested changes Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com> Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com>
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- 10 Dec, 2020 1 commit
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Adam J. Stewart authored
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- 09 Dec, 2020 2 commits
- 27 Oct, 2020 1 commit
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Adam J. Stewart authored
* README: add recommended PyTorch version for v0.8.0 * PyTorch v1.7.0 is now released
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- 16 Oct, 2020 1 commit
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bmanga authored
* Ensure torchvision operators are registered in C++ via weak symbols * Add note to README on how to ensure that torchvision operators are available in C++ * Fix dllimport/dllexport on windows, format files * Factor out common macros in single file * Expose cuda_version in the API, use it to avoid pruning of ops initializer
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- 24 Aug, 2020 1 commit
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Joseph Spisak authored
* Update README.rst Updated the link to the docs.. * Update README.rst
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- 20 Aug, 2020 1 commit
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Adam J. Stewart authored
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- 08 Jul, 2020 1 commit
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Edgar Andrés Margffoy Tuay authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 * Enable JPEG support using libjpeg directly * Install libjpeg-turbo8 on Travis * Fix styling issues * Do not append to paths if library found in standard library locations * Add macro flag * Use custom error handler * Use 3? * Use short-lived buffer * Return TRUE instead of true * Assert RuntimeError * Use .jpg extension * Remove conda-forge * Use data_ptr instead of accessor * Use assertTrue for jpeg verification * Remove unnecessary memcpy * Debug test on Windows * Remove PIL from jpeg verification Co-authored-by:Ryad ZENINE <r.zenine@gmail.com>
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- 03 Jul, 2020 1 commit
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Francisco Massa authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 * Remove JPEG-related code * Remove installation references to turbojpeg * Remove further references to turbojpeg * Fix c++ style issues * Fix c++ style issues * Fix libpng-config include flag parsing * Remove conda-forge * Remove include dirs from main extension * Do not pass extra include and library paths to main torchvision extension * Add libpng to environment.yml * Remove inexistent imports * Add instructions regarding environment variables to README * Fix image extension tests * Add libpng to environment + test fixes * Minor improvements * Remove unused Py2 code * Add stub comments to prevent deletion while merging * Reintroduce files in order to prevent deletion during merge * Remove unwanted merge sections * Restore libpng conda installation on wheel distributions * Restore comment * Fix libpng discovery on Windows * Fix PEP8 style issues * Add linking flag on Windows * Remove parenthesis * Restore libpng during runtime Co-authored-by:
Edgar Andrés Margffoy Tuay <andfoy@gmail.com> Co-authored-by:
Ryad ZENINE <r.zenine@gmail.com>
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- 02 Jul, 2020 2 commits
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Francisco Massa authored
This reverts commit c1a99b7b.
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Edgar Andrés Margffoy Tuay authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 * Remove JPEG-related code * Remove installation references to turbojpeg * Remove further references to turbojpeg * Fix c++ style issues * Fix c++ style issues * Fix libpng-config include flag parsing * Remove conda-forge * Remove include dirs from main extension * Do not pass extra include and library paths to main torchvision extension * Add libpng to environment.yml * Remove inexistent imports * Add instructions regarding environment variables to README Co-authored-by:Ryad ZENINE <r.zenine@gmail.com>
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- 01 Jul, 2020 1 commit
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Edgar Andrés Margffoy Tuay authored
This reverts commit 766721b1.
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- 30 Jun, 2020 1 commit
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Edgar Andrés Margffoy Tuay authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 Co-authored-by:Ryad ZENINE <r.zenine@gmail.com>
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- 26 May, 2020 1 commit
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Philip Meier authored
* add compatibility table to README * Update README.rst * Update README.rst Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
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- 23 Mar, 2020 1 commit
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bmanga authored
* Add hello world example for C++ torchvision * README updates and mention the hello_world example
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- 03 Feb, 2020 1 commit
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bmanga authored
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- 29 Jan, 2020 1 commit
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bmanga authored
* Add cmake config file generation for torchvision (Torch::Vision) * Update README * Update cmake config to export TorchVision::Vision target, adding dependencies * Update readme * Fix path issues and rename target to TorchVision::TorchVision
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- 22 Jan, 2020 1 commit
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Danny Vilela authored
* Update README to reflect strict dependency on torch==1.4.0 * 1.4 or newer.
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- 20 Jan, 2020 1 commit
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keith authored
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- 10 Jan, 2020 1 commit
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Francisco Massa authored
* Testing CI * Disable tests for Pillow 7
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- 01 Oct, 2019 1 commit
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Xiuyan Ni authored
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- 29 Aug, 2019 1 commit
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Francisco Massa authored
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- 21 Aug, 2019 1 commit
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Vincent QB authored
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- 06 Jul, 2019 1 commit
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Shahriar authored
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- 24 May, 2019 1 commit
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Konstantin Lopuhin authored
* Allow forcing GPU build with FORCE_CUDA=1 This is convenient to e.g. build with GPU support inside a docker image * Document FORCE_CUDA
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