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611 Commits (8449ba210c6bde6d65a237eb96a81b2ca2e38de2)

Author SHA1 Message Date
Ross Wightman c1cf9712fc Add updated EfficientNet-V2S weights, 83.8 @ 384x384 test. Add PyTorch trained EfficientNet-B4 weights, 83.4 @ 384x384 test. Tweak non TF EfficientNet B1-B4 train/test res scaling.
4 years ago
Ross Wightman e8a64fb881 Test input size for efficientnet_v2s was wrong in last results run
4 years ago
Ross Wightman 2df77ee5cb Fix torchscript compat and features_only behaviour in GhostNet PR. A few minor formatting changes. Reuse existing layers.
4 years ago
Ross Wightman d793deb51a Merge branch 'master' of https://github.com/iamhankai/pytorch-image-models into iamhankai-master
4 years ago
Ross Wightman e685618f45
Merge pull request #550 from amaarora/wandb
4 years ago
Ross Wightman f606c45c38 Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer
4 years ago
iamhankai de445e7827 Add GhostNet
4 years ago
Ross Wightman 5a196dddf6 Update README.md with latest, bump version to 0.4.8
4 years ago
Ross Wightman b3d7580df1 Update ByoaNet comments. Fix first Steam feat chs for ByobNet.
4 years ago
Ross Wightman 16f7aa9f54 Add default_cfg options for min_input_size / fixed_input_size, queries in model registry, and use for testing self-attn models
4 years ago
Ross Wightman 4e4b863b15 Missed norm.py
4 years ago
Ross Wightman 7c97e66f7c Remove commented code, add more consistent seed fn
4 years ago
Ross Wightman 364dd6a58e Merge branch 'master' into byoanet-self_attn
4 years ago
Ross Wightman ce62f96d4d ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
4 years ago
Ross Wightman cd3dc4979f Fix adabelief imports, remove prints, preserve memory format is the default arg for zeros_like
4 years ago
Ross Wightman 21812d33aa Add prelim efficientnet_v2s weights from 224x224 train, eval 83.3 @ 288. Add eca_nfnet_l1 weights, train at 256, eval 84 @ 320.
4 years ago
Aman Arora 5772c55c57 Make wandb optional
4 years ago
Aman Arora f54897cc0b make wandb not required but rather optional as huggingface_hub
4 years ago
Aman Arora 3f028ebc0f import wandb in summary.py
4 years ago
Aman Arora 624c9b6949 log to wandb only if using using wandb
4 years ago
juntang addfc7c1ac adabelief
4 years ago
Ross Wightman fb896c0b26 Update some comments re preliminary EfficientNet-V2 assumptions
4 years ago
Ross Wightman 2b49ab7a36 Fix ResNetV2 pretrained classifier issue. Fixes #540
4 years ago
Ross Wightman de9dff933a EfficientNet-V2S preliminary model def (for experimentation)
4 years ago
Ross Wightman 37c71a5609 Some further create_optimizer_v2 tweaks, remove some redudnant code, add back safe model str. Benchmark step times per batch.
4 years ago
Ross Wightman 2bb65bd875 Wrong default_cfg pool_size for L1
4 years ago
Ross Wightman bf2ca6bdf4 Merge jax and original weight init
4 years ago
Ross Wightman acbd698c83 Update README.md with updates. Small tweak to head_dist handling.
4 years ago
Ross Wightman 9071568f0e Add weights for SE NFNet-L0 model, rename nfnet_l0b -> nfnet_l0. 82.75 top-1 @ 288. Add nfnet_l1 model def for training.
4 years ago
Ross Wightman c468c47a9c Add regnety_160 weights from DeiT teacher model, update that and my regnety_032 weights to use higher test size.
4 years ago
Ross Wightman 288682796f Update benchmark script to add precision arg. Fix some downstream (DeiT) compat issues with latest changes. Bump version to 0.4.7
4 years ago
Ross Wightman ea9c9550b2 Fully move ViT hybrids to their own file, including embedding module. Remove some extra DeiT models that were for benchmarking only.
4 years ago
Ross Wightman a5310a3451 Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
4 years ago
Ross Wightman 7953e5d11a Fix pos_embed scaling for ViT and num_classes != 1000 for pretrained distilled deit and pit models. Fix #426 and fix #433
4 years ago
Ross Wightman a760a4c3f4 Some ViT cleanup, merge distilled model with main, fixup torchscript support for distilled models
4 years ago
Ross Wightman 0dfc5a66bb Add PiT model from https://github.com/naver-ai/pit
4 years ago
Ross Wightman 51febd869b Small tweak to tests for tnt model, reorder model imports.
4 years ago
Ross Wightman b27a4e0d88 Merge branch 'master' of https://github.com/contrastive/pytorch-image-models into contrastive-master
4 years ago
Aman Arora 6b18061773 Add GIST to docstring for quick access
4 years ago
contrastive de86314655 Update TNT
4 years ago
Aman Arora 92b1db9a79 update docstrings and add check on and
4 years ago
Aman Arora b85be24054 update to work with fnmatch
4 years ago
contrastive cfc15283a4 Update TNT url
4 years ago
contrastive 4a09bc851e Add TNT model
4 years ago
Aman Arora 20626e8387 Add to extract stats for SPP
4 years ago
Ross Wightman cf5fec5047 Cleanup experimental vit weight init a bit
4 years ago
Ross Wightman f42f1df26c Improve evenness of per-worker split for validation set with TFDS
4 years ago
Ross Wightman cbcb76d72c Should have included Conv2d layers in original weight init. Lets see what the impact is...
4 years ago
Ross Wightman 4de57ccf01 Add weight init scheme that's closer to JAX impl
4 years ago
Ross Wightman 14ac4abf74 Change huggingface hub revision delimiter to '@', add hf_hub reference for eca_nfnet_l0 model as an example.
4 years ago
Ross Wightman 740f32c96a Add ECA-NFNet-L0 weights and update model name. Update README and bump version to 0.4.6
4 years ago
Ross Wightman 5e2e4e7fb6
Merge pull request #502 from khatami-mehrdad/efficientnet_dg
4 years ago
Ross Wightman 45c048ba13 A few minor fixes and bit more cleanup on the huggingface hub integration.
4 years ago
Mehrdad 97f49d163c adding efficientnet_el, efficientnet_es_prunedefficientnet_es_pruned and efficientnet_el_pruned pretrained models to timm/models
4 years ago
Ross Wightman ead80d33c5 Fix typo, naming consistency
4 years ago
Ross Wightman d584e7f617 Support for huggingface hub via create_model and default_cfgs.
4 years ago
Ross Wightman 1f799afcb3 Remove capital letters in model names
4 years ago
AFLALO, Jonathan Isaac 82c1fe958a added hardcorenas model
4 years ago
Ross Wightman f57db99101 Update README, fix iabn pip version print.
4 years ago
Ross Wightman 7ef7788ee9 Fix CUDA crash w/ channels-last + CSP models. Remove use of chunk()
4 years ago
Ross Wightman 317ea3e599 Tweak NFNet, ResNetV2, RexNet feature extraction, use pre-act features for simplicty. Update tests for pytorch 1.8. 0.4.5 version bump.
4 years ago
Ross Wightman 17cdee7354 Fix C&P patch_size error, and order of op patch_size arg resolution bug. Remove a test vit model.
4 years ago
Ross Wightman 0706d05d52 Benchmark models listed in txt file. Add more hybrid vit variants for testing
4 years ago
Ross Wightman 2db2d87ff7 Add epoch-repeats arg to multiply the number of dataset passes per epoch. Currently for iterable datasets (read TFDS wrapper) only.
4 years ago
Ross Wightman de97be9146 Spell out diff between my small and deit small vit models.
4 years ago
Ross Wightman f0ffdf89b3 Add numerous experimental ViT Hybrid models w/ ResNetV2 base. Update the ViT naming for hybrids. Fix #426 for pretrained vit resizing.
4 years ago
Ross Wightman 0e16d4e9fb Add benchmark.py script, and update optimizer factory to be more friendly to use outside of argparse interface.
4 years ago
Ross Wightman 4bc103f504 Fix CUDA crash w/ channels-last + CSP models. Remove use of chunk()
4 years ago
Ross Wightman 8563609b28 Update notes in ScaledStdConv impl
4 years ago
Ross Wightman 678ba4e0a2 Add NFNet-F model weights ported from DeepMind Haiku impl and new set of models w/ compatible config.
4 years ago
Ross Wightman 9de2ec5e44 Update README for AGC and bump version to 0.4.4
4 years ago
Ross Wightman 4f49b94311 Initial AGC impl. Still testing.
4 years ago
Ross Wightman 5f9aff395c Fix stem width in NFNet-F models, add some more comments, add some 'light' NFNet models for testing.
4 years ago
Ross Wightman d86dbe45c2 Update README.md and few more comments
4 years ago
Ross Wightman 0d253e2c5e Fix issue with nfnet tests, bit more cleanup.
4 years ago
Ross Wightman cb06c7a910 Add NFNet-F models and tweak existing NF models.
4 years ago
Ross Wightman e4de077021 Add first 'Normalizer Free' models. nf_regnet_b1 79.3 @ 288x288 test, and nf_resnet50 80.3 @ 256x256 test (80.68 @ 288x288).
4 years ago
Ross Wightman d8e69206be
Merge pull request #419 from rwightman/byob_vgg_models
4 years ago
Ross Wightman ca9b078ac7 Update README.md and docs. Version bumped to 0.4.3
4 years ago
Ross Wightman 6853b07bbd Improve RegVGG block identity/vs non for clariy and fix attn usage. Add comments.
4 years ago
Ross Wightman 0356e773f5 Default to native PyTorch AMP instead of APEX amp. Too many APEX issues cropping up lately.
4 years ago
Reuben 94ca140b67 update collections.abc import
4 years ago
Ross Wightman b4e216e377 Fix a few small things.
4 years ago
Ross Wightman dc85e5a237 Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models.
4 years ago
Ross Wightman 1bcc69e0ad Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354.
4 years ago
Ross Wightman 9811e229f7 Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
4 years ago
Ross Wightman a39c3ee216
Merge branch 'master' into eca-weights
4 years ago
Ross Wightman e9d6fe293c Update README for new weights. Version 0.4.2
4 years ago
Ross Wightman 666de85cf1 Move stride in EdgeResidual block to 3x3 expansion conv. Fix #414
4 years ago
Ross Wightman 3b57490a63 Fix some half removed resnet model defs, pooling for ecaresnet269d
4 years ago
Ross Wightman 68a4144882 Add new weights for ecaresnet26t/50t/269d models. Remove distinction between 't' and 'tn' (tiered models), tn is now t. Add test time img size spec to default cfg.
4 years ago
Ross Wightman b9843f954b
Merge pull request #282 from tigert1998/patch-1
4 years ago
hwangdeyu 7a4be5c035 add operator HardSwishJitAutoFn export to onnx
4 years ago
Ross Wightman 4203efa36d Fix #387 so that checkpoint saver works with max history of 1. Add checkpoint-hist arg to train.py.
4 years ago
Ross Wightman f0e65e37b7 Fix NF-ResNet101 model defs
4 years ago
Ross Wightman 2c988c3b6e Update README.md for NF-nets, bump version to 0.4.1 for merge
4 years ago
Ross Wightman 2de54d174a Fix pool size defs for NFNet models, add a comment.
4 years ago
Ross Wightman 90980de4a9 Fix up a few details in NFResNet models, managed stable training. Add support for gamma gain to be applied in activation or ScaleStdConv. Some tweaks to ScaledStdConv.
4 years ago
Ross Wightman 5a8e1e643e Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
4 years ago
Ross Wightman 38d8f67570 Fix potential issue with change to num_classes arg in train/validate.py defaulting to None (rely on model def / default_cfg)
4 years ago
Ross Wightman 587780e56b Update README.md and bump version to 0.4.0
4 years ago
Ross Wightman bb50ac4708 Add DeiT distilled weights and distilled model def. Remove some redudant ViT model args.
4 years ago
Ross Wightman c16e965037 Add some ViT comments and fix a few minor issues.
4 years ago
Ross Wightman 22748f1a2d Convert samples/targets in ParserImageInTar to numpy arrays, slightly less mem usage for massive datasets. Add a few more se/eca model defs to resnet.py
4 years ago
Ross Wightman 5d4c3d0af3 Add enhanced ParserImageInTar that can read images from tars within tars, folders with multiple tars, etc. Additional comment cleanup.
4 years ago
Ross Wightman 55f7dfa9ea Refactor vision_transformer entrpy fns, add pos embedding resize support for fine tuning, add some deit models for testing
4 years ago
Ross Wightman d55bcc0fee Finishing adding stochastic depth support to BiT ResNetV2 models
4 years ago
Ross Wightman 855d6cc217 More dataset work including factories and a tensorflow datasets (TFDS) wrapper
4 years ago
Ross Wightman 20516abc18 Fix some broken tests for ResNetV2 BiT models
4 years ago
Ross Wightman 59ec7e6a53 Merge branch 'master' into imagenet21k_datasets_more
4 years ago
Ross Wightman e7a9ddf982
Merge pull request #334 from kecsap/links
4 years ago
Csaba Kertesz 7cae7e7035 Follow links during dataset scanning
4 years ago
Ross Wightman c96e9f99a0 Update version to 0.3.3
4 years ago
Ross Wightman 4e2533db77 Add 320x320 model default cfgs for 101D and 152D ResNets. Add SEResNet-152D weights and 320x320 cfg.
4 years ago
Ross Wightman 0167f749d3 Remove some old __future__ imports
4 years ago
Ross Wightman e35e9760a6 More work on dataset / parser split and imagenet21k (tar) support
4 years ago
Ross Wightman ce69de70d3 Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models
4 years ago
Ross Wightman 231d04e91a ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.
4 years ago
Ross Wightman de6046e213 Initial commit for dataset / parser reorg to support additional datasets / types
4 years ago
Ross Wightman 392595c7eb Add pool_size to default cfgs for new models to prevent tests from failing. Add explicit 200D_320 model entrypoint for next benchmark run.
4 years ago
Ross Wightman b1f1228a41 Add ResNet101D, 152D, and 200D weights, remove meh 66d model
4 years ago
Jasha 7c56c718f3 Configure create_optimizer with args.opt_args
4 years ago
Ross Wightman 9a25fdf3ad
Merge pull request #297 from rwightman/ema_simplify
4 years ago
Tymoteusz Wiśniewski de15b43865 Fix a bug with accuracy retrieving from RealLabels
4 years ago
Ross Wightman cd72e66eff Bug in last mod for features_only default_cfg
4 years ago
Ross Wightman 867a0e5a04 Add default_cfg back to models wrapped in feature extraction module as per discussion in #294.
4 years ago
Ross Wightman 4ca52d73d8 Add separate set and update method to ModelEmaV2
4 years ago
Ross Wightman 2ed8f24715 A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.
4 years ago
Ross Wightman 6504a42832 Version 0.3.2
4 years ago
Ross Wightman 460eba7f24 Work around casting issue with combination of native torch AMP and torchscript for Linear layers
4 years ago
Ross Wightman 5f4b6076d8 Fix inplace arg compat for GELU and PreLU via activation factory
4 years ago
Ross Wightman fd962c4b4a Native SiLU (Swish) op doesn't export to ONNX
4 years ago
Ross Wightman 27bbc70d71 Add back old ModelEma and rename new one to ModelEmaV2 to avoid compat breaks in dependant code. Shuffle train script, add a few comments, remove DataParallel support, support experimental torchscript training.
4 years ago
tigertang 43f2500c26
Add symbolic for SwishJitAutoFn to support onnx
4 years ago
Ross Wightman 9214ca0716 Simplifying EMA...
4 years ago
Ross Wightman 53aeed3499 ver 0.3.1
4 years ago
Ross Wightman 30ab4a1494 Fix issue in optim factory with sgd / eps flag. Bump version to 0.3.1
4 years ago
Ross Wightman 741572dc9d Bump version to 0.3.0 for pending PyPi push
4 years ago
Ross Wightman b401952caf Add newly added vision transformer large/base 224x224 weights ported from JAX official repo
4 years ago
Ross Wightman 61200db0ab in_chans=1 working w/ pretrained weights for vision_transformer
4 years ago
Ross Wightman e90edce438 Support native silu activation (aka swish). An optimized ver is available in PyTorch 1.7.
4 years ago
Ross Wightman da6cd2cc1f Fix regression for pretrained classifier loading when using entrypt functions directly
4 years ago
Ross Wightman f591e90b0d Make sure num_features attr is present in vit models as with others
4 years ago
Ross Wightman 4a3df7842a Fix topn metric view regression on PyTorch 1.7
4 years ago
Ross Wightman f944242cb0 Fix #262, num_classes arg mixup. Make vision_transformers a bit closer to other models wrt get/reset classfier/forward_features. Fix torchscript for ViT.
4 years ago
Ross Wightman 736f209e7d Update vision transformers to be compatible with official code. Port official ViT weights from jax impl.
4 years ago
Ross Wightman 477a78ed81 Fix optimizer factory regressin for optimizers like sgd/momentum that don't have an eps arg
4 years ago
Ross Wightman 27a93e9de7 Improve test crop for ViT models. Small now 77.85, added base weights at 79.35 top-1.
4 years ago
Ross Wightman d4db9e7977 Add small vision transformer weights. 77.42 top-1.
4 years ago
talrid 27fadaa922 asymmetric_loss
4 years ago
Ross Wightman f31933cb37 Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
4 years ago
Ross Wightman a4d8fea61e Add model based wd skip support. Improve cross version compat of optimizer factory. Fix #247
4 years ago
Ross Wightman 80078c47bb Add Adafactor and Adahessian optimizers, cleanup optimizer arg passing, add gradient clipping support.
4 years ago
Ross Wightman fcb6258877 Add missing leaky_relu layer factory defn, update Apex/Native loss scaler interfaces to support unscaled grad clipping. Bump ver to 0.2.2 for pending release.
4 years ago
Ross Wightman e8e2d9cabf Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.
4 years ago
Ross Wightman e8ca45854c More models in sotabench, more control over sotabench run, dataset filename extraction consistency
4 years ago
Ross Wightman 9c406532bd Add EfficientNet-EdgeTPU-M (efficientnet_em) model trained natively in PyTorch. More sotabench fiddling.
4 years ago
Ross Wightman c40384f5bd Add ResNet weights. 80.5 (top-1) ResNet-50-D, 77.1 ResNet-34-D, 72.7 ResNet-18-D.
4 years ago
Ross Wightman 47a7b3b5b1 More flexible mixup mode, add 'half' mode.
4 years ago
Ross Wightman 532e3b417d Reorg of utils into separate modules
4 years ago
Ross Wightman 33f8a1bf36 Updated README, add wide_resnet50_2 and seresnext50_32x4d weights
4 years ago
Ross Wightman 751b0bba98 Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool
4 years ago
Ross Wightman 9c297ec67d Cleanup Apex vs native AMP scaler state save/load. Cleanup CheckpointSaver a bit.
4 years ago
Ross Wightman 80c9d9cc72 Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'
4 years ago
Ross Wightman 90a01f47d1 hrnet features_only pretrained weight loading issue. Fix #232.
4 years ago
Ross Wightman 110a7c4982 AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992
4 years ago
Ross Wightman c2cd1a332e Improve torch amp support and add channels_last support for train/validate scripts
4 years ago
Ross Wightman 470220b1f4 Fix MobileNetV3 crash with global_pool='', output consistent with other models but not equivalent due to efficient head.
4 years ago
Ross Wightman fc8b8afb6f Fix a silly bug in Sample version of EvoNorm missing x* part of swish, update EvoNormBatch to accumulated unbiased variance.
4 years ago
Ross Wightman f614df7921 Bump version to 0.2.1 and update README
4 years ago
Ross Wightman b423bc8362
Merge pull request #218 from rwightman/cutmix
4 years ago
Ross Wightman 8c9814e3f5 Final cleanup of mixup/cutmix. Element/batch modes working with both collate (prefetcher active) and without prefetcher.
4 years ago
Ross Wightman 0f5d9d8166 Add CSPResNet50 weights, 79.6 top-1 at 256x256
4 years ago
Ross Wightman b1b6e7c361 Fix a few more issues related to #216 w/ TResNet (space2depth) and FP16 weights in wide resnets. Also don't completely dump pretrained weights in in_chans != 1 or 3 cases.
4 years ago
Ross Wightman 512b2dd645 Add new EfficientNet-B3 and RegNetY-3.2GF weights, both just over 82 top-1
4 years ago
Ross Wightman 6890300877 Add DropPath (stochastic depth) to RegNet
4 years ago
Ross Wightman cd23f55397 Fix mixed prec issues with new mixup code
4 years ago
Yusuke Uchida f6b56602f9 fix test_model_default_cfgs
4 years ago
Ross Wightman f471c17c9d More cutmix/mixup overhaul, ready to kick-off some trials.
4 years ago
Ross Wightman d5145fa4d5 Change default_cfg names for senet to include the legacy and match model names
4 years ago
Ross Wightman 92f2d0d65d Merge branch 'master' into cutmix. Fixup a few issues.
4 years ago
Ross Wightman 1696499ce5 Bump version to 0.2.0, ready to roll (I think)
4 years ago
Ross Wightman e62758cf4f More documentation updates, fix a typo
4 years ago
Ross Wightman dfe80414a6 Add bool arg helper
4 years ago
Ross Wightman fa28067704 Add more augmentation arguments, including a no_aug disable flag. Fix #209
4 years ago
Ross Wightman b1f1a54de9 More uniform treatment of classifiers across all models, reduce code duplication.
4 years ago
Ross Wightman d72ddafe56 Fix some checkpoint / model str regressions
4 years ago
Ross Wightman ac18adb9c3 Remove debug print from RexNet
4 years ago
Ross Wightman c53ec33ae0 Add synset/label indices for results generation. Add 'valid labels' to validation script to support imagenet-a/r label subsets properly.
4 years ago
Ross Wightman ec4976fdba Add EfficientNet-Lite0 weights trained with this code by @hal-314, 75.484 top-1
4 years ago
Ross Wightman 9ecd16bd7b Add new seresnet50 (non-legacy) model weights, 80.274 top-1
4 years ago
Ross Wightman 7995295968 Merge branch 'logger' into features. Change 'logger' to '_logger'.
4 years ago
Ross Wightman 1998bd3180 Merge branch 'feature/AB/logger' of https://github.com/antoinebrl/pytorch-image-models into logger
4 years ago
Ross Wightman 6c17d57a2c Fix some attributions, add copyrights to some file docstrings
4 years ago
Ross Wightman a69c0e04f0 Fix pool size in cspnet
4 years ago
Ross Wightman 14ef7a0dd6 Rename csp.py -> cspnet.py
4 years ago
Ross Wightman ec37008432 Add pretrained weight links to CSPNet for cspdarknet53, cspresnext50
4 years ago
Sangdoo Yun e93e571f7a Add `adamp` and 'sgdp' optimizers.
4 years ago
Ross Wightman 08016e839d Cleanup FeatureInfo getters, add TF models sourced Xception41/65/71 weights
4 years ago
Ross Wightman 7ba5a384d3 Add ReXNet w/ remapped weights, feature support
4 years ago