- 03 May, 2023 1 commit
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Adam J. Stewart authored
Co-authored-by:Nicolas Hug <nh.nicolas.hug@gmail.com>
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- 03 Apr, 2023 2 commits
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Nicolas Hug authored
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Nicolas Hug authored
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- 16 Feb, 2023 1 commit
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Aditya Oke authored
Co-authored-by:Nicolas Hug <contact@nicolas-hug.com>
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- 07 Feb, 2023 1 commit
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Philip Meier authored
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- 06 Feb, 2023 1 commit
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Nicolas Hug authored
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- 02 Feb, 2023 1 commit
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Nicolas Hug authored
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- 01 Feb, 2023 1 commit
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Nicolas Hug authored
Update docs to not mention 'registration mechanism' - and move corresponding utils out of Beta (#7142) Co-authored-by:Philip Meier <github.pmeier@posteo.de>
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- 19 Jan, 2023 1 commit
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Philip Meier authored
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- 11 Jan, 2023 2 commits
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Philip Meier authored
* fix typos throughout the code base * fix grammar * revert formatting changes to gallery * revert 'an uXX' * remove 'number of the best'
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Nicolas Hug authored
* _weight_size -> _file_size * Better formatting of individual weights tables * Remove file size from main tables to avoid confusion with weight size (as in RAM) * Remove unnecessary (file size) suffix * Fix CI error? * Formatting Co-authored-by:Philip Meier <github.pmeier@posteo.de>
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- 13 Dec, 2022 1 commit
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Sergii Dymchenko authored
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- 12 Dec, 2022 1 commit
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Vasilis Vryniotis authored
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- 18 Nov, 2022 1 commit
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Vladislav Sovrasov authored
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- 17 Nov, 2022 1 commit
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Aditya Oke authored
* Just start adding mere copy paste * Replace d with t and D with T * Align swin transformer video to image a bit * Rename d -> t * align with 2d impl * align with 2d impl * Add helpful comments and config for 3d * add docs * Add docs * Add configurations * Add docs * Fix bugs * Fix wrong edit * Fix wrong edit * Fix bugs * Fix bugs * Fix as per fx suggestions * Update torchvision/models/video/swin_transformer.py * Fix as per fx suggestions * Fix expect files and code * Update the expect files * Modify video swin * Add min size and min temporal size, num params * Add flops and size * Fix types * Fix url recipe Co-authored-by:Yosua Michael Maranatha <yosuamichael@fb.com>
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- 16 Nov, 2022 1 commit
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Vasilis Vryniotis authored
* Fix MaxViT typing * linter
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- 11 Nov, 2022 1 commit
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toni057 authored
* Adding FLOPs and size to model metadata * Adding weight size to quantization models * Small refactor of rich metadata * Removing unused code * Fixing wrong entries * Adding .DS_Store to gitignore * Renaming _flops to _ops * Adding number of operations to quantization models * Reflecting _flops change to _ops * Renamed ops and weight size in individual model doc pages * Linter fixes * Rounding ops to first decimal * Rounding num ops and sizes to 3 decimals * Change naming of columns. * Update tables Co-authored-by:
Toni Blaslov <tblaslov@fb.com> Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com>
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- 02 Nov, 2022 1 commit
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Philip Meier authored
* make weights deepcopyable * add test * test enum member instead of whole enum
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- 11 Oct, 2022 1 commit
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vsuryamurthy authored
* Use the variable name sizes instead of scales for consistency * Add the missing type hints * Restore the naming back to scales instead of sizes to avoid backwards incompatibility
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- 04 Oct, 2022 2 commits
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Robert Perrotta authored
Co-authored-by:Nicolas Hug <contact@nicolas-hug.com>
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Robert Perrotta authored
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- 29 Sep, 2022 1 commit
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YosuaMichael authored
* Update the expected removal date for several deprecated API * Revert the change in models/_utils.py * Remove removal date on pretrained=True * Update another message related to pretrained=True * Also update the warning in kwonly_to_pos_or_kw decorator * Update remaining message in _utils.py
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- 28 Sep, 2022 2 commits
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Nicolas Hug authored
* Remove Kinetics400 class * Remove '2007-test' in VOC * Remove some MobileNet layer classes * Remove torchvision/models/segmentation/segmentation.py * Remove some MultiScaleRoIAlign methods * Remove torchvision/transforms/_functional_video.py * Remove torchvision/transforms/_transforms_video.py * Remove resample parameter in transforms * Remove 'range' parameter * Remove 'fill_value' parameter in transforms * Revert to original warning for C++ models - looks like we should still keep them around? * pre-commit * Fix docs * Remove test/test_transforms_video.py * Some fixes * Remove more tests * Revert changes to C++ models * Add back _transforms_video and change warning message * Change back the warning message, and will change the warning message on separate PR Co-authored-by:
YosuaMichael <yosuamichaelm@gmail.com> Co-authored-by:
Yosua Michael Maranatha <yosuamichael@fb.com>
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Philip Meier authored
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- 23 Sep, 2022 1 commit
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Ponku authored
* Added maxvit architecture and tests * rebased + addresed comments * Revert "rebased + addresed comments" This reverts commit c5b28398cd48d2f3403c7c8eeefbaba9df05fcfe. * Re-added model changes after revert * aligned with partial original implementation * removed submitit script fixed lint * mypy fix for too many arguments * updated old tests * removed per batch lr scheduler and seed setting * removed ontap * added docs, validated weights * fixed test expect, moved shape assertions in the begging for torch.fx compatibility * mypy fix * lint fix * added legacy interface * added weight link * updated docs * Update references/classification/train.py Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com> * Update torchvision/models/maxvit.py Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com> * adressed comments * update ra_maginuted and augmix_severity default values * adressed some comments * remove input_channels parameter Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com>
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- 21 Sep, 2022 1 commit
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Yakhyokhuja Valikhujaev authored
Co-authored-by:Nicolas Hug <contact@nicolas-hug.com>
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- 20 Sep, 2022 1 commit
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Ambuj Pawar authored
* ADD: init_weights config for googlenet * Fix: Inception and googlenet warnings * Fix: warning in test_datasets.py * Fix: Formatting error with ufmt * Fix: Failing tests in quantized_classification_model * Update test/test_models.py to make googlenet in 1 line Co-authored-by:
Philip Meier <github.pmeier@posteo.de> * Refactor: Change inception quantisation class initialization to use args/kwargs * Resolve mypy issue * Move *args before inception_blocks * Move args keywords before other arguments Co-authored-by:
Ambuj Pawar <your_email@abc.example> Co-authored-by:
Philip Meier <github.pmeier@posteo.de> Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com>
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- 16 Sep, 2022 1 commit
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YosuaMichael authored
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- 15 Sep, 2022 2 commits
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Ponku authored
* crestereo draft implementation * minor model fixes. positional embedding changes. * aligned base configuration with paper * Adressing comments * Broke down Adaptive Correlation Layer. Adressed some other commets. * adressed some nits * changed search size, added output channels to model attrs * changed weights naming * changed from iterations to num_iters * removed _make_coords, adressed comments * fixed jit test * config nit * Changed device arg to str Co-authored-by:
Joao Gomes <jdsgomes@fb.com> Co-authored-by:
YosuaMichael <yosuamichaelm@gmail.com>
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Vasilis Vryniotis authored
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- 14 Sep, 2022 1 commit
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YosuaMichael authored
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- 13 Sep, 2022 1 commit
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Vasilis Vryniotis authored
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- 12 Sep, 2022 2 commits
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Vasilis Vryniotis authored
* Add `handle_legacy_interface()` to all new models. * Fix imports * Addressing review comments. * Fix linter * Addressing further comments.
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Vasilis Vryniotis authored
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- 09 Sep, 2022 1 commit
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Nicolas Granger authored
Changes image size convention to (h, w). I don't think this is used by models other than SSD which assumes this convention. Co-authored-by:
Nicolas Granger <nicolas.granger@cea.fr> Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com>
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- 05 Sep, 2022 1 commit
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Vasilis Vryniotis authored
* S3D weight deployment * Update accuracies. * Address review comments.
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- 19 Aug, 2022 1 commit
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Sophia Zhi authored
* S3D initial commit * add model builder code and docstrings * change classifier submodule, populate weights enum * fix change of block args from List[List[int]] to ints * add VideoClassification to transforms * edit weights url for testing, add s3d to models.video init * norm_layer changes * norm_layer and args fix * Overwrite default dropout * Remove docs from internal submodules. * Fix tests * Adding documentation. * Link doc from main models.rst * Fix min_temporal_size * Adding crop/resize parameters in references script * Release weights. * Refactor dropout. * Adding the weights table in the doc Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com> Co-authored-by:
Vasilis Vryniotis <vvryniotis@fb.com>
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- 18 Aug, 2022 1 commit
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Vasilis Vryniotis authored
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- 10 Aug, 2022 2 commits
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Local State authored
* init submit * fix typo * support ufmt and mypy * fix 2 unittest errors * fix ufmt issue * Apply suggestions from code review Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com> * unify codes * fix meshgrid indexing * fix a bug * fix type check * add type_annotation * add slow model * fix device issue * fix ufmt issue * add expect pickle file * fix jit script issue * fix type check * keep consistent argument order * add support for pretrained_window_size * avoid code duplication * a better code reuse * update window_size argument * make permute and flatten operations modular * add PatchMergingV2 * modify expect.pkl * use None as default argument value * fix type check * fix indent * fix window_size (temporarily) * remove "v2_" related prefix and add v2 builder * remove v2 builder * keep default value consistent with official repo * deprecate dropout * deprecate pretrained_window_size * fix dynamic padding edge case * remove unused imports * remove doc modification * Revert "deprecate dropout" This reverts commit 8a13f932815ae25655c07430d52929f86b1ca479. * Revert "fix dynamic padding edge case" This reverts commit 1c7579cb1bd7bf2f0f94907f39bee6ed707a97a8. * remove unused kwargs * add downsample docs * revert block default value * revert argument order change * explicitly specify start_dim * add small and base variants * add expect files and slow_models * Add model weights and documentation for swin v2 * fix lint * fix end of files line Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com> Co-authored-by:
Joao Gomes <jdsgomes@fb.com>
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Vasilis Vryniotis authored
* Extending to support MViTv2 * Fix docs, mypy and linter * Refactor the relative positional code. * Code refactoring. * Rename vars. * Update docs. * Replace assert with exception. * Updat docs. * Minor refactoring. * Remove the square input limitation. * Moving methods around. * Modify the shortcut in the attention layer. * Add ported weights. * Introduce a `residual_cls` config on the attention layer. * Make the patch_embed kernel/padding/stride configurable. * Apply changes from code-review. * Remove stale todo.
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