- 03 Aug, 2020 1 commit
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Andreas Georgiou authored
* Fixed resize to only match the smaller edge when an int is given instead of always * Added test cases for resize()
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- 30 Jul, 2020 1 commit
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Philip Meier authored
* fix fill parameter for PIL pad * add test * fix * lint
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- 29 Jul, 2020 1 commit
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vfdev authored
* [WIP] Unified input for T.RandomAffine * Unified inputs for T.RandomAffine transformation * Update transforms.py * Updated docs of F.affine fillcolor * Update transforms.py
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- 17 Jul, 2020 1 commit
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Brian Vaughan authored
* add torchscriptable adjust_gamma transform https://github.com/pytorch/vision/issues/1375 * changes based on code-review * Apply suggested change to add type hint Required by mypy, even thought technically incorrect due to possible Image parameter. torchscript doesn't support a union based type hint. Co-authored-by:
vfdev <vfdev.5@gmail.com> Co-authored-by:
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- 16 Jul, 2020 2 commits
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Kushajveer Singh authored
* perform cyclic check for hue in test_rgb2hsv Test fails for cases when hue=0 and hue=360. As hue is cyclic in nature, add cyclic logic for checking the max difference by taking the sin of the tensor and then comparing the max values. * address linter issues
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vfdev authored
* [WIP] F.affine * [WIP] F.affine + tests * Unified input for F.affine * Removed commented code * Removed unused imports
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- 15 Jul, 2020 2 commits
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Edgar Andrés Margffoy Tuay authored
* Add corruption cases * Read jpeg headers until exhaustion * Minor error correction * Add test script * Raise exception when image is truncated * Add test * Skip damaged_jpeg folder * Compare against basename * Remove unused test file
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vfdev authored
Incoherence is when affine transformation is 90 degrees rotation and output contains a zero line
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- 10 Jul, 2020 1 commit
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Brian Vaughan authored
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- 09 Jul, 2020 1 commit
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mcarilli authored
* Fixes Xiao's repro * Ports nms to use full dispatcher * Move HIPGuard to nms_cuda * clang-format * run models in test_models.py on GPU if available * Francisco's comment, also disable cuda model tests to see if CPU alone still passes * cuda tests now pass locally, although still not comparing to saved numerics * add note for thing to ask francisco * Allow cuda and cpu tests to share a data file * ignore suffix if unneeded * Skip autocast numerics checks for a few models * Add roi_align test Co-authored-by:Michael Carilli <mcarilli@nvidia.com>
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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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- 07 Jul, 2020 1 commit
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vfdev authored
* [WIP] Unify random resized crop * Unify input for RandomResizedCrop * Fixed bugs and updated test * Added resized crop functional test - fixed bug with size convention * Fixed incoherent sampling * Fixed torch randint review remark
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- 06 Jul, 2020 1 commit
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vfdev authored
* [WIP] F.resize with tensor * Adapted T.Resize and F.resize with a test * According to the review, fixed copy-pasted messages and unused imports
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- 03 Jul, 2020 2 commits
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vfdev authored
* Related to #2292 - RandomErasing is not scriptable * Fixed code according to review comments - added additional checking of value vs img num_channels
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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:
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- 02 Jul, 2020 3 commits
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vfdev authored
* [WIP] Added symmetric padding mode * Added check and raise error if padding is negative for symmetric padding mode * Added test check for raising error if negative pad
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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:
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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 4 commits
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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: -
vfdev authored
- RandomCrop: crop with padding using all commonly supported modes
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vfdev authored
* [WIP] functional_tensor supports more padding modes * [WIP] Support all padding modes * Removed wip symmetric mode * Improvements according to the review
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vfdev authored
* [WIP] Unified Tensor/PIL crop * Fixed misplaced type annotation * Fixed tests - crop with padding - other tests using mising private functions: _is_pil_image, _get_image_size * Unified CenterCrop and F.center_crop - sorted includes in transforms.py - used py3 annotations * Unified FiveCrop and F.five_crop * Improved tests and docs * Unified TenCrop and F.ten_crop * Removed useless typing in functional_pil * Updated code according to the review - removed useless torch.jit.export - added missing typing return type - fixed F.F_pil._is_pil_image -> F._is_pil_image * Removed useless torch.jit.export * Improved code according to the review
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- 29 Jun, 2020 1 commit
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Francisco Massa authored
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- 26 Jun, 2020 1 commit
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vfdev authored
* [WIP] Add Tensor implementation for pad * Unified Pad and F.pad opertion for PIL and Tensor inputs * Added another test and improved docstring * Updates according to the review * Cosmetics and replaced f-string by "".format * Updated docstring - added compatibility support for padding as [value, ] for functional_pil.pad Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
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- 11 Jun, 2020 3 commits
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Philip Meier authored
* add convert_image_dtype to functionals * add ConvertImageDtype transform * add test * remove underscores from numbers since they are not compatible with python<3.6 * address review comments 1/3 * fix torch.bool * use torch.iinfo in test * fix flake8 * remove double conversion * fix flake9 * bug fix * add error messages to test * disable torch.float16 and torch.half for now * add docstring * add test for consistency * move nested function to top * test in CI * dirty progress * add int to int and cleanup * lint Co-authored-by:Philip Meier <meier.philip@posteo.de>
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vikramtankasali authored
* Adjust hue * Adjust hue acceps torch.tensor uint8 Co-authored-by:Vikram Mukunda Rao Tankasali <vikramtankasali@devvm765.lla0.facebook.com>
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Ksenija Stanojevic authored
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- 10 Jun, 2020 1 commit
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Clement Joudet authored
* feat: torchscriptable adjusments * fix: tensor output type * feat: ColorJitter torchscriptable * fix: too many blank lines * fix: documentation spacing and torchscript annotation * refactor: list type for _check_input * refactor: reverting to original syntax Co-authored-by:clement.joudet <clement.joudet@inventia.life>
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- 04 Jun, 2020 3 commits
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Francisco Massa authored
* Make RandomHorizontalFlip torchscriptable * Make _is_tensor_a_torch_image more generic * Make RandomVerticalFlip torchscriptable (#2283) * Make RandomVerticalFlip torchscriptable * Fix lint
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Ksenija Stanojevic authored
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Francisco Massa authored
* Bugfix in pad * Address review comments * Fix lint
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- 01 Jun, 2020 1 commit
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Francisco Massa authored
* Add more tests to NMS * Fix lint
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- 29 May, 2020 2 commits
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Michael Kösel authored
* Add norm_layer to MobileNetV2 * Add simple test case * Small fix
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NVS Abhilash authored
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- 21 May, 2020 2 commits
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Urwa Muaz authored
* add layer freezing param to maskrcnn_resnet50_fpn * freeze ayer param in keypointrcnn_resnet50_fpn * layer freeze tests for mask and keypoint rcnn * correct linting errors * correct linting errors. * correct linting errors
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Ross Wightman authored
* Fix #2221, DenseNet issue with gradient checkpoints (memory_efficient=True) * Add grad/param count test for mem_efficient densenet
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- 20 May, 2020 1 commit
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Negin Raoof authored
* Fixing nms on boxes when no detection * test * Fix for scale_factor computation * remove newline * Fix for mask_rcnn dynanmic axes * Clean up * Update transform.py * Fix for torchscript * Fix scripting errors * Fix annotation * Fix lint * Fix annotation * Fix for interpolate scripting * Fix for scripting * refactoring * refactor the code * Fix annotation * Fixed annotations * Added test for resize * lint * format * bump ORT * ort-nightly version * Going to ort 1.1.0 * remove version * install typing-extension * Export model for images with no detection * Upgrade ort nightly * update ORT * Update test_onnx.py * updated tests * Updated tests * merge * Update transforms.py * Update cityscapes.py * Update celeba.py * Update caltech.py * Update pkg_helpers.bash * Clean up * Clean up for dynamic split * Remove extra casts * flake8 * Fix for mask rcnn no detection export * clean up * Enable mask rcnn tests * Added test * update ORT * Update .travis.yml * fix annotation * Clean up roi_heads * clean up * clean up misc ops
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- 19 May, 2020 1 commit
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Francisco Massa authored
* Make copy of targets in GeneralizedRCNNTransform * Fix flake8
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- 18 May, 2020 1 commit
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Steven Basart authored
* Adds as_tensor to functional.py Similar functionality to to_tensor without the default conversion to float and division by 255. Also adds support for Image mode 'L'. * Adds tests to AsTensor() Adds tests to AsTensor and removes the conversion to float and division by 255. * Adds AsTensor to transforms.py Calls the as_tensor function in functionals and adds the function AsTensor as callable from transforms. * Removes the pic.mode == 'L' This was handled by the else condition previously so I'll remove it. * Fix Lint issue Adds two line breaks between functions to fix lint issue * Replace from_numpy with as_tensor Removes the extra if conditionals and replaces from_numpy with as_tensor. * Renames as_tensor to pil_to_tensor Renames the function as_tensor to pil_to_tensor and narrows the scope of the function. At the same time also creates a flag that defaults to True for swapping to the channels first format. * Renames AsTensor to PILToImage Renames the function AsTensor to PILToImage and modifies the description. Adds the swap_to_channelsfirst boolean variable to indicate if the user wishes to change the shape of the input. * Add the __init__ function to PILToTensor Add the __init__ function to PILToTensor since it contains the swap_to_channelsfirst parameter now. * fix lint issue remove trailing white space * Fix the tests Reflects the name change to PILToTensor and the parameter to the function as well as the new narrowed scope that the function only accepts PIL images. * fix tests Instead of undoing the transpose just create a new tensor and test that one. * Add the view back Add img.view(pic.size[1], pic.size[0], len(pic.getbands())) back to outside the if condition. * fix test fix conversion from torch tensor to PIL back to torch tensor. * fix lint issues * fix lint remove trailing white space * Fixed the channel swapping tensor test Torch tranpose operates differently than numpy transpose. Changed operation to permute. * Add mode='F' Add mode information when converting to PIL Image from Float Tensor. * Added inline comments to follow shape changes * ToPILImage converts FloatTensors to uint8 * Remove testing not swapping * Removes the swap_channelsfirst parameter Makes the channel swapping the default behavior. * Remove the swap_channelsfirst argument Remove the swap_channelsfirst argument and makes the swapping the default functionality.
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