- 11 Jun, 2024 1 commit
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amyeroberts authored
* Draft fast image processors * Draft working fast version * py3.8 compatible cache * Enable loading fast image processors through auto * Tidy up; rescale behaviour based on input type * Enable tests for fast image processors * Smarter rescaling * Don't default to Fast * Safer imports * Add necessary Pillow requirement * Woops * Add AutoImageProcessor test * Fix up * Fix test for imagegpt * Fix test * Review comments * Add warning for TF and JAX input types * Rearrange * Return transforms * NumpyToTensor transformation * Rebase - include changes from upstream in ImageProcessingMixin * Safe typing * Fix up * convert mean/std to tesnor to rescale * Don't store transforms in state * Fix up * Update src/transformers/image_processing_utils_fast.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/auto/image_processing_auto.py Co-authored-by:
Pavel Iakubovskii <qubvel@gmail.com> * Add equivalence and speed tests * Fix up --------- Co-authored-by:
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- 16 Aug, 2023 1 commit
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amyeroberts authored
* Add copied from statements for image processors * Move out rescale and normalize to base image processor * Remove rescale and normalize from vit (post rebase) * Update docstrings and tidy up * PR comments * Add input_data_format as preprocess argument * Resolve tests and tidy up * Remove num_channels argument * Update doc strings -> default ints not in code formatting
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- 11 Aug, 2023 1 commit
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amyeroberts authored
* Refactor image processor test mixin - Move test_call_numpy, test_call_pytorch, test_call_pil to mixin - Rename mixin to reflect handling of logic more than saving - Add prepare_image_inputs, expected_image_outputs for tests * Fix for oneformer
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- 03 Aug, 2023 1 commit
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amyeroberts authored
* Update InstructBLIP values Note: the tests are not independent. Running the test independentely produces different logits compared to running all the integration tests * Update test values after rescale update * Remove left over commented out code * Revert to previous rescaling logic * Update rescale tests
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- 02 Aug, 2023 1 commit
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amyeroberts authored
Rescale tests - cast to float after rescaling to reflect #25229
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- 28 Jul, 2023 1 commit
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amyeroberts authored
* Fix rescaling bug * Add tests * Update integration tests * Fix up * Update src/transformers/image_transforms.py * Update test - new possible order in list
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- 11 Jul, 2023 1 commit
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Jegor Kit拧kerkin authored
* Add model * Add ability to get classification head weights * Add docs * Add imports to __init__.py * Run style * Fix imports and add mdx doc * Run style * Fix copyright * Fix config docstring * Remove imports of ViViTLayer and load_tf_weights_in_vivit * Remove FeatureExtractor and replace with ImageProcessor everywhere * Remove ViViTForPreTraining from vivit.mdx * Change ViViT -> Vivit everywhere * Add model_doc to _toctree.yml * Replace tuples with lists in arguments of VivitConfig * Rename patch_size to tubelet_size in TubeletEmbeddings * Fix checkpoint names * Add tests * Remove unused num_frames * Fix imports for VivitImageProcessor * Minor fixes * Decrease number of frames in VivitModelTester from 32 to 16 * Decrease number of frames in VivitModelTester from 16 to 8 * Add initialization for pos embeddings * Rename Vivit -> ViViT in some places * Fix docstring and formatting * Rename TubeletEmbeddings -> VivitTubeletEmbeddings * Remove load_tf_weights_in_vivit * Change checkpoint name * Remove Vivit _TOKENIZER_FOR_DOC * Fix * Fix VivitTubeletEmbeddings and pass config object as parameter * Use image_size and num_frames instead of video_size * Change conversion script and fix differences with the orig implementation * Fix docstrings * Add attention head pruning * Run style and fixup * Fix tests * Add ViViT to video_classification.mdx * Save processor in conversion script * Fix * Add image processor test * Run fixup and style * Run fix-copies * Update tests/models/vivit/test_modeling_vivit.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/vivit/test_modeling_vivit.py Co-authored-by:
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- 06 Feb, 2023 1 commit
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Sylvain Gugger authored
* Result of black 23.1 * Update target to Python 3.7 * Switch flake8 to ruff * Configure isort * Configure isort * Apply isort with line limit * Put the right black version * adapt black in check copies * Fix copies
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- 23 Jan, 2023 2 commits
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amyeroberts authored
* Update imports and test fetcher * Revert but keep test fetcher update * Fix imports * Fix all imports * Replace fe with ip names * Add generate kwargs to `AutomaticSpeechRecognitionPipeline` (#20952) * Add generate kwargs to AutomaticSpeechRecognitionPipeline * Add test for generation kwargs * Update image processor parameters if creating with kwargs (#20866) * Update parameters if creating with kwargs * Shallow copy to prevent mutating input * Pass all args in constructor dict - warnings in init * Fix typo * Rename tester class * Rebase and tidy up * Fixup * Use ImageProcessingSavingTestMixin * Update property ref in tests * Update property ref in tests * Update recently merged in models * Small fix Co-authored-by:bofeng huang <bofenghuang7@gmail.com>
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amyeroberts authored
* Add test_image_processing_common.py * Fix typo * Update imports and test fetcher * Revert but keep test fetcher update * Fix imports * Fix all imports * Formatting fix * Update tests/test_image_processing_common.py
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- 17 Jan, 2023 1 commit
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amyeroberts authored
* Rename files * Update file names in tests
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- 04 Jan, 2023 1 commit
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amyeroberts authored
* Update parameters if creating with kwargs * Shallow copy to prevent mutating input * Pass all args in constructor dict - warnings in init * Fix typo
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- 02 Nov, 2022 1 commit
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amyeroberts authored
* Add CLIP image processor * Crop size as dict too * Update warning * Actually use logger this time * Normalize doesn't change dtype of input * Add perceiver image processor * Tidy up * Add DPT image processor * Add Vilt image processor * Tidy up * Add poolformer image processor * Tidy up * Add LayoutLM v2 and v3 imsge processors * Tidy up * Add Flava image processor * Tidy up * Add deit image processor * Tidy up * Add ConvNext image processor * Tidy up * Add levit image processor * Add segformer image processor * Add in post processing * Fix up * Add ImageGPT image processor * Fixup * Add mobilevit image processor * Tidy up * Add postprocessing * Fixup * Add VideoMAE image processor * Tidy up * Add ImageGPT image processor * Fixup * Add ViT image processor * Tidy up * Add beit image processor * Add mobilevit image processor * Tidy up * Add postprocessing * Fixup * Fix up * Fix flava and remove tree module * Fix image classification pipeline failing tests * Update feature extractor in trainer scripts * Update pad_if_smaller to accept tuple and int size * Update for image segmentation pipeline * Update src/transformers/models/perceiver/image_processing_perceiver.py Co-authored-by:
Alara Dirik <8944735+alaradirik@users.noreply.github.com> * Update src/transformers/image_processing_utils.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/beit/image_processing_beit.py Co-authored-by:
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- 04 Aug, 2022 1 commit
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NielsRogge authored
* First draft * Add VideoMAEForVideoClassification * Improve conversion script * Add VideoMAEForPreTraining * Add VideoMAEFeatureExtractor * Improve VideoMAEFeatureExtractor * Improve docs * Add first draft of model tests * Improve VideoMAEForPreTraining * Fix base_model_prefix * Make model take pixel_values of shape (B, T, C, H, W) * Add loss computation of VideoMAEForPreTraining * Improve tests * Improve model tests茅 * Make all tests pass * Add VideoMAE to main README * Add tests for VideoMAEFeatureExtractor * Add integration test * Improve conversion script * Rename patch embedding class * Remove VideoMAELayer from init * Update design of patch embeddings * Improve comments * Improve conversion script * Improve conversion script * Add conversion of pretrained model * Add loss verification of pretrained model * Add loss verification of unnormalized targets * Add integration test for pretraining model * Apply suggestions from code review * Fix bug to make feature extractor resize only shorter edge * Address more comments * Improve normalization of videos * Add doc examples * Move constants to dedicated script * Remove scripts * Transfer checkpoints, fix docs * Update script * Update image mean and std * Fix doc tests * Set return_tensors to NumPy by default * Revert the previous change Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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- 03 May, 2022 1 commit
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Yih-Dar authored
* move test model folders (TODO: fix imports and others) * fix (potentially partially) imports (in model test modules) * fix (potentially partially) imports (in tokenization test modules) * fix (potentially partially) imports (in feature extraction test modules) * fix import utils.test_modeling_tf_core * fix path ../fixtures/ * fix imports about generation.test_generation_flax_utils * fix more imports * fix fixture path * fix get_test_dir * update module_to_test_file * fix get_tests_dir from wrong transformers.utils * update config.yml (CircleCI) * fix style * remove missing imports * update new model script * update check_repo * update SPECIAL_MODULE_TO_TEST_MAP * fix style * add __init__ * update self-scheduled * fix add_new_model scripts * check one way to get location back * python setup.py build install * fix import in test auto * update self-scheduled.yml * update slack notification script * Add comments about artifact names * fix for yolos Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 23 Mar, 2022 1 commit
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Sylvain Gugger authored
* Split file_utils in several submodules * Fixes * Add back more objects * More fixes * Who exactly decided to import that from there? * Second suggestion to code with code review * Revert wront move * Fix imports * Adapt all imports * Adapt all imports everywhere * Revert this import, will fix in a separate commit
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- 23 Feb, 2022 1 commit
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Lysandre Debut authored
* Per-folder tests reorganization Co-authored-by:
sgugger <sylvain.gugger@gmail.com> Co-authored-by:
Stas Bekman <stas@stason.org>
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- 07 Feb, 2022 1 commit
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NielsRogge authored
* First draft * Add conversion script * Improve conversion script * Improve docs and implement tests * Define model output class * Fix tests * Fix more tests * Add model to README * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply more suggestions from code review * Apply suggestions from code review * Rename dims to hidden_sizes * Fix equivalence test * Rename gamma to gamma_parameter * Clean up conversion script * Add ConvNextFeatureExtractor * Add corresponding tests * Implement feature extractor correctly * Make implementation cleaner * Add ConvNextStem class * Improve design * Update design to also include encoder * Fix gamma parameter * Use sample docstrings * Finish conversion, add center cropping * Replace nielsr by facebook, make feature extractor tests smaller * Fix integration test Co-authored-by:
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- 09 Jun, 2021 1 commit
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NielsRogge authored
* Squash all commits of modeling_detr_v7 branch into one * Improve docs * Fix tests * Style * Improve docs some more and fix most tests * Fix slow tests of ViT, DeiT and DETR * Improve replacement of batch norm * Restructure timm backbone forward * Make DetrForSegmentation support any timm backbone * Fix name of output * Address most comments by @LysandreJik * Give better names for variables * Conditional imports + timm in setup.py * Address additional comments by @sgugger * Make style, add require_timm and require_vision to tests茅 * Remove train_backbone attribute of DetrConfig, add methods to freeze/unfreeze backbone * Add png files to fixtures * Fix type hint * Add timm to workflows * Add `BatchNorm2d` to the weight initialization * Fix retain_grad test * Replace model checkpoints by Facebook namespace * Fix name of checkpoint in test * Add user-friendly message when scipy is not available * Address most comments by @patrickvonplaten * Remove return_intermediate_layers attribute of DetrConfig and simplify Joiner * Better initialization * Scipy is necessary to get sklearn metrics * Rename TimmBackbone to DetrTimmConvEncoder and rename DetrJoiner to DetrConvModel * Make style * Improve docs and add 2 community notebooks Co-authored-by:Lysandre <lysandre.debut@reseau.eseo.fr>
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- 12 Apr, 2021 1 commit
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NielsRogge authored
* First draft of deit * More improvements * Remove DeiTTokenizerFast from init * Conversion script works * Add DeiT to ViT conversion script * Add tests, add head model, add support for deit in vit conversion script * Update model checkpoint names * Update image_mean and image_std, set resample to bicubic * Improve docs * Docs improvements * Add DeiTForImageClassificationWithTeacher to init * Address comments by @sgugger * Improve feature extractors * Make fix-copies * Minor fixes * Address comments by @patil-suraj * All models uploaded * Fix tests * Remove labels argument from DeiTForImageClassificationWithTeacher * Fix-copies, style and quality * Fix tests * Fix typo * Multiple docs improvements * More docs fixes
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- 01 Apr, 2021 1 commit
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NielsRogge authored
* Squash all commits into one * Update ViTFeatureExtractor to use image_utils instead of torchvision * Remove torchvision and add Pillow * Small docs improvement * Address most comments by @sgugger * Fix tests * Clean up conversion script * Pooler first draft * Fix quality * Improve conversion script * Make style and quality * Make fix-copies * Minor docs improvements * Should use fix-copies instead of manual handling * Revert "Should use fix-copies instead of manual handling" This reverts commit fd4e591bce4496d41406425c82606a8fdaf8a50b. * Place ViT in alphabetical order Co-authored-by:
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