- 05 Oct, 2021 5 commits
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Aditya Oke authored
* Add str param * Update test to include str * Fix mypy * Remove a small bracket * Test more robustly * Update docstring and test: * Apply suggestions from code review Co-authored-by:
Nicolas Hug <contact@nicolas-hug.com> * Update torchvision/utils.py Small docstring fix * Update torchvision/utils.py * remove unnecessary renaming Co-authored-by:
Nicolas Hug <contact@nicolas-hug.com> Co-authored-by:
Nicolas Hug <nicolashug@fb.com>
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Chungman Lee authored
Co-authored-by:Nicolas Hug <contact@nicolas-hug.com>
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Nicolas Hug authored
* Allow redefinition for mypy * appease mypy Co-authored-by:Philip Meier <github.pmeier@posteo.de>
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Philip Meier authored
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Kai Zhang authored
* add best weights and x_1_6, x_3_2, y_1_6, y_3_2, y_32 weights * add best weights and x_1_6, x_3_2, y_1_6, y_3_2, y_32 weights * add weights for x_16gf, x_32gf, y_16gf
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- 04 Oct, 2021 3 commits
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Nicolas Hug authored
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Philip Meier authored
* add ufmt as code formatter * cleanup * quote ufmt requirement * split imports into more groups * regenerate circleci config * fix CI * clarify local testing utils section * use ufmt pre-commit hook * split relative imports into local category * Revert "split relative imports into local category" This reverts commit f2e224cde2008c56c9347c1f69746d39065cdd51. * pin black and usort dependencies * fix local test utils detection * fix ufmt rev * add reference utils to local category * fix usort config * remove custom categories sorting * Run pre-commit without fixing flake8 * got a double import in merge Co-authored-by:Nicolas Hug <nicolashug@fb.com>
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Nicolas Hug authored
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- 01 Oct, 2021 4 commits
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Philip Meier authored
Co-authored-by:Vasilis Vryniotis <datumbox@users.noreply.github.com>
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Alexander Soare authored
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Nicolas Hug authored
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Alexander Soare authored
* draft commit * Polish and add corresponding test * Update docs * Update torchvision/models/feature_extraction.py * Update docs/source/feature_extraction.rst Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
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- 30 Sep, 2021 3 commits
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Philip Meier authored
* add prototype for `Caltech256` dataset * silence mypy
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Philip Meier authored
* add torchdata as prototype dependency * ignore torchdata for mypy * move git dependency out of conda environment file * try unsetting PYTORCH_VERSION env var * cleanup * move installation of torchdata after installtion of PyTorch * regenerate circlci config * remove branch from torchdata download link Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
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Vasilis Vryniotis authored
* Moving _make_divisible to utils. * Replace the old ConvBNReLU and ConvBNActivation layers * Fix minor bug. * Moving SE layer to ops. * Adding deprecation warnings on old layers. * Apply changes to regnets.
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- 29 Sep, 2021 3 commits
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Kai Zhang authored
* initial code * add SqueezeExcitation * initial code * add SqueezeExcitation * add SqueezeExcitation * regnet blocks, stems and model definition * nit * add fc layer * use Callable instead of Enum for block, stem and activation * add regnet_x and regnet_y model build functions, add docs * remove unused depth * use BN/activation constructor and ConvBNActivation * add expected test pkl files * allow custom activation in SqueezeExcitation * use ReLU as the default activation * initial code * add SqueezeExcitation * initial code * add SqueezeExcitation * add SqueezeExcitation * regnet blocks, stems and model definition * nit * add fc layer * use Callable instead of Enum for block, stem and activation * add regnet_x and regnet_y model build functions, add docs * remove unused depth * use BN/activation constructor and ConvBNActivation * reuse SqueezeExcitation from efficientnet * refactor RegNetParams into BlockParams * use nn.init, replace np with torch * update README * construct model with stem, block, classifier instances * Revert "construct model with stem, block, classifier instances" This reverts commit 850f5f3ed01a2a9b36fcbf8405afd6e41d2e58ef. * remove unused blocks * support scaled model * fuse into ConvBNActivation * make reset_parameters private * fix type errors * fix for unit test * add pretrained weights for 6 variant models, update docs
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Vasilis Vryniotis authored
* Reuse EfficientNet SE layer. * Deprecating the mobilenetv3.SqueezeExcitation layer. * Passing the right activation on quantization. * Making strict named param. * Set default params if missing. * Fixing typos.
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Philip Meier authored
* cleanup image folder * make shuffling mandatory * rename parameter in home() function * don't show builtin list * make categories optional in dataset info * use pseudo-infinite buffer size for shuffler Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
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- 28 Sep, 2021 1 commit
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Prabhat Roy authored
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- 27 Sep, 2021 2 commits
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Loi Ly authored
* update channels parameter to every calling to check_functional_vs_PIL_vs_scripted * update adjust_saturation * update docstrings for functional transformations * parametrize channels * update docstring of ColorJitter class * move channels to class's parameter * remove testing channels for geometric transforms * revert redundant changes * revert redundant changes * update grayscale test cases for randaugment, autoaugment, trivialaugment * update docstrings of randaugment, autoaugment, trivialaugment * update docstring of ColorJitter * fix adjust_hue's docstring * change test equal tolerance * refactor grayscale tests * make get_grayscale_test_image private
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peterbell10 authored
* Update gpu atomics include path THC is being removed, and this header now lives in ATen. See pytorch/pytorch#65470. * Empty commit to trigger build Co-authored-by:Vasilis Vryniotis <datumbox@users.noreply.github.com>
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- 24 Sep, 2021 3 commits
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Philip Meier authored
* add API for new style datasets * cleanup Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
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vfdev authored
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Aditya Oke authored
Co-authored-by:Nicolas Hug <nicolashug@fb.com>
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- 23 Sep, 2021 1 commit
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Philip Meier authored
* add prototype image folder dataset * remove decoder datapipe * [PROPOSAL] add RandomPicker * refactor data loading * fix mypy * remove per-category datapipes * fix mypy Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
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- 22 Sep, 2021 1 commit
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Loi Ly authored
* update docstring for RandAugment * update docstrings for pillow image
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- 21 Sep, 2021 3 commits
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Allen Goodman authored
* ops.masks_to_bounding_boxes * test fixtures * unit test * ignore lint e201 and e202 for in-lined matrix * ignore e121 and e241 linting rules for in-lined matrix * draft gallery example text * removed type annotations from pytest fixtures * inlined fixture * renamed masks_to_bounding_boxes to masks_to_boxes * reformat inline array * import cleanup * moved masks_to_boxes into boxes module * docstring cleanup * updated docstring * fix formatting issue * gallery example * use torch * use torch * use torch * use torch * updated docs and test * cleanup * updated import * use torch * Update gallery/plot_repurposing_annotations.py Co-authored-by:
Aditya Oke <47158509+oke-aditya@users.noreply.github.com> * Update gallery/plot_repurposing_annotations.py Co-authored-by:
Aditya Oke <47158509+oke-aditya@users.noreply.github.com> * Update gallery/plot_repurposing_annotations.py Co-authored-by:
Aditya Oke <47158509+oke-aditya@users.noreply.github.com> * Autodoc * use torch instead of numpy in tests * fix build_docs failure * Closing quotes. Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com> Co-authored-by:
Aditya Oke <47158509+oke-aditya@users.noreply.github.com>
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Kai Zhang authored
* allow custom activation in SqueezeExcitation * use ReLU as the default activation * make scale activation parameterizable Co-authored-by:Vasilis Vryniotis <datumbox@users.noreply.github.com>
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Beat Buesser authored
* Allow gradient backpropagation through GeneralizedRCNNTransform to inputs Signed-off-by:
Beat Buesser <beat.buesser@ie.ibm.com> * Add unit tests for gradient backpropagation to inputs Signed-off-by:
Beat Buesser <beat.buesser@ie.ibm.com> * Update torchvision/models/detection/transform.py Co-authored-by:
Francisco Massa <fvsmassa@gmail.com> * Update _check_input_backprop Signed-off-by:
Beat Buesser <beat.buesser@ie.ibm.com> * Account for tests requiring cuda Signed-off-by:
Beat Buesser <beat.buesser@ie.ibm.com> Co-authored-by:
Francisco Massa <fvsmassa@gmail.com> Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com>
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- 17 Sep, 2021 1 commit
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Vasilis Vryniotis authored
* Windows use size_t * Temporarily pin jpeg <=9b * Temporarily pin jpeg ==9c * Remove pinning.
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- 16 Sep, 2021 1 commit
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julienripoche authored
Co-authored-by:
Julien RIPOCHE <ripoche@magic-lemp.com> Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com>
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- 15 Sep, 2021 2 commits
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Vasilis Vryniotis authored
* Add RandomMixupCutmix. * Add test with real data. * Use dataloader and collate in the test. * Making RandomMixupCutmix JIT scriptable. * Move out label_smoothing and try roll instead of flip * Adding mixup/cutmix in references script. * Handle one-hot encoded target in accuracy. * Add support of devices on tests. * Separate Mixup from Cutmix. * Add check for floats. * Adding device on expect value. * Remove hardcoded weights. * One-hot only when necessary. * Fix linter. * Moving mixup and cutmix to references. * Final code clean up.
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Prabhat Roy authored
* Updated annotation to be a Union of Tensor and List * Updated check_roi_boxes_shape.
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- 14 Sep, 2021 1 commit
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Muhammed Abdullah authored
* Added LFW Dataset * Added dataset to list in __init__.py * Updated lfw.py * Created a common superclass for people and pairs type datatsets * corrected the .download() method * Added docstrings and updated datasets.rst * Wrote tests for LFWPeople and LFWPairs * Resolved mypy error: Need type annotation for "data" * Updated inject_fake_data method for LFWPeople * Updated tests for LFW * Updated LFW tests and minor changes in lfw.py * Updated LFW * Added functionality for 10-fold validation view * Optimized the code so to replace repeated lines by method in super class * Updated LFWPeople to get classes from all lfw-names.txt rather than just the classes fron trainset * Updated lfw.py and tests * Updated inject_fake_data method to create 10fold fake data * Minor changes in docstring and extra_repr * resolved py lint errors * Added checksums for annotation files * Minor changes in test * Updated docstrings, defaults and minor changes in test * Removed 'os.path.exists' check Co-authored-by:
ABD-01 <myac931@gmai.com> Co-authored-by:
Philip Meier <github.pmeier@posteo.de> Co-authored-by:
Francisco Massa <fvsmassa@gmail.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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- 08 Sep, 2021 2 commits
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Prabhat Roy authored
* Added paper references to detection models * Ignore linter warning * Break long line into two
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Vassilis C. Nicodemou authored
Co-authored-by:
Vassilis Nicodemou <nikodim@ics.forth.gr> Co-authored-by:
Philip Meier <github.pmeier@posteo.de>
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- 06 Sep, 2021 3 commits
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Francisco Massa authored
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Alexander Soare authored
* add fx feature extraction util * Make it possible to use train and eval mode * FX feature extraction - Tweaks and small bug fixes * FX feature extraction - add tests * move to feature_extraction.py, add LeafModuleAwareTracer, add docs * Tweaks to docs * addressing latest round of feedback * undo line spacing changes * change type hints in docstrings * fix sphinx indentation * expose feature_extraction * add maskrcnn example * add api refernce subheading * address latest review notes, refactor names, fix regex, cosmetics * Add back efficientnet to models * fix tests for effnet * fix linting issue * fix test tracer kwargs Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
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Vasilis Vryniotis authored
* Add types in transform. * Trace on eval mode. Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
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