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726 Commits (f7d210d759beb00a3d0834a3ce2d93f6e17f3d38)

Author SHA1 Message Date
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
Ross Wightman c9d54bc1c3 Add HRNet feature extraction, fix senet type, lower feature testing res to 96x96
4 years ago
Ross Wightman 2ac663f340 Add feature support to legacy senets, add 32x32 resnext models to exclude list for feature testing.
4 years ago
Ross Wightman c146b54abc Cleanup EfficientNet/MobileNetV3 feature extraction a bit, only two tap locations now, small mobilenetv3 models work
4 years ago
Ross Wightman 68fd8a267b Merge branch 'master' into features
4 years ago
Ross Wightman 4e61c6a12d Cleanup, refactoring of Feature extraction code, add tests, fix tests, non hook feature extraction working with torchscript
4 years ago
Ross Wightman 6eec3fb4a4 Move FeatureHooks into features.py, switch EfficientNet, MobileNetV3 to use build model helper
4 years ago
Ross Wightman 9eba134d79 More models supporting feature extraction, xception, gluon_xception, inception_v3, inception_v4, pnasnet, nasnet, dla. Fix DLA unused projection params.
4 years ago
Ross Wightman 298fba09ac Back out some activation hacks trialing upcoming pytorch changes
5 years ago
Ross Wightman 3b9004bef9 Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces
5 years ago
Ross Wightman e2cc481310 Update CSP ResNets for cross expansion without activation. Fix VovNet IABN compatibility with fixed activation arg.
5 years ago
Ross Wightman 3b6cce4c95 Add initial impl of CrossStagePartial networks, yet to be trained, not quite the same as darknet cfgs.
5 years ago
Ross Wightman 3aebc2f06c Switch DPN to use BnAct layer, train a new DPN 68b model with RA to 79.21
5 years ago
Ross Wightman f122f0274b Significant ResNet refactor:
5 years ago
Ross Wightman a66df5fb91 More model feature extraction support, start to deprecate senet.py, dilations added to regnet, add proper aligned xception
5 years ago
Ross Wightman 7729f40dca Fix another bug, update all gluon resnet models to use new creation method (feature support)
5 years ago
Ross Wightman d72ac0db25 Fix #173, lr cycle default 0 vs 1. Fix #177, mirror resnest weights for future stability.
5 years ago
Ross Wightman d0113f9cdb Fix a few issues that came up in tests
5 years ago
Ross Wightman d23a2697d0 Working on feature extraction, interfaces refined, a number of models working, some in progress.
5 years ago
Ross Wightman 24e7535278 Remove tests from distrib
5 years ago
Ross Wightman 328339a086 Add ESE-VoVNet-19-DW weights
5 years ago
Ross Wightman 2d83752bc2 Fix default interpolation/crop of largest 2 ResNeSt models
5 years ago
Ross Wightman f225ae8e59 Update README with model results and attribution. Make scheduler factory bit more robust to arg differences, add noise to plateau lr and fix min/max.
5 years ago
Ross Wightman 39f27c1add Almost ready to merge, vovnet typo, version bump, readme addition
5 years ago
Ross Wightman 151679c2f1 Add custom grad tests, fix cut & paste error with hard_mish ME, add a few more pytorch act fns to factory
5 years ago
Ross Wightman 6c7932fe75 Update sotabench.py, tweak VovNet cfg
5 years ago
Ross Wightman 0aca08384f Update regnet cfg keys to match model names so registry works properly
5 years ago
Antoine Broyelle 78fa0772cc Leverage python hierachical logger
5 years ago
Ross Wightman 13c0a6290e Add ESE-VovNet39 weights, 79.32 top-1
5 years ago
Ross Wightman 4ddde1d3a4 Fix two regressions
5 years ago
Ross Wightman a7e8cadd15 Remove pointless densenet configs, add an iabn version of 264 as it makes more sense to try someday...
5 years ago
Ross Wightman e78daf586a better densenet121 and densenetblur121d weights
5 years ago
Ross Wightman 7be299504f Add missing feature_info() on MobileNetV3, make hook feature output order/type consistent with bottleneck (list, decreasing fmap size)
5 years ago
Ross Wightman 88129b2569 Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit.
5 years ago
Ross Wightman f28170df3f Fix an an untested change, remove a debug print
5 years ago
Ross Wightman eb7653614f Monster commit, activation refactor, VoVNet, norm_act improvements, more
5 years ago
Ross Wightman 0ea53cecc3 Merge branch 'master' into densenet_update_and_more
5 years ago
Ross Wightman 6441e9cc1b Fix memory_efficient mode for DenseNets. Add AntiAliasing (Blur) support for DenseNets and create one test model. Add lr cycle/mul params to train args.
5 years ago
Ross Wightman afb6bd0669 Add backward and default_cfg tests and fix a few issues found. Fix #153
5 years ago
Ross Wightman 50658b9a67 Add RegNet models and weights
5 years ago
Ross Wightman 7df83258c9 Merge branch 'master' into densenet_update_and_more
5 years ago
Ross Wightman 1904ed8fec Improve dropblock impl, add fast variant, and better AMP speed, inplace, batchwise... few ResNeSt cleanups
5 years ago
Ross Wightman 17270c69b9 Remove annoying InceptionV3 dependency on scipy and insanely slow trunc_norm init. Bring InceptionV3 code into this codebase and use upcoming torch trunch_norm_ init.
5 years ago
Ross Wightman c4ca016656
Merge pull request #145 from rwightman/resnest
5 years ago
Ross Wightman 208e7912f7 Missed one of the abalation model entrypoints, update README
5 years ago
Ross Wightman 9cc289f18c Exclude EfficientNet-L2 models from test
5 years ago
Ross Wightman 2f884a0ce5 Add resnest14, resnest26, and two of the abalation grouped resnest50 models
5 years ago
Ross Wightman f4cdc2ac31 Add ResNeSt models
5 years ago
Ross Wightman 780860d140 Add norm_act factory method, move JIT of norm layers to factory
5 years ago
Ross Wightman 14edacdf9a DenseNet converted to support ABN (norm + act) modules. Experimenting with EvoNorm, IABN
5 years ago
Ross Wightman 022ed001f3 Update DenseNet to latest in Torchvision (torchscript compat, checkpointing, proper init). Start adding ehanced configurability, stem options...
5 years ago
Vyacheslav Shults a7ebe09029 Replace all None by nn.Identity() in all models reset_classifier when False-values num_classes is given.
5 years ago
Vyacheslav Shults f0eb021620 Replace all None by nn.Identity() in HRNet modules
5 years ago
AFLALO, Jonathan Isaac a7f570c9b7 added MultiEpochsDataLoader
5 years ago
Ross Wightman 8d8677e03b Fix #139. Broken SKResNets after BlurPool addition, as a plus, SKResNets support AA now too.
5 years ago
Ross Wightman c9b6f415ca Bump version for Pypi release
5 years ago
AFLALO, Jonathan Isaac 9c15d57505 added efficientnet pruned weights
5 years ago
Ross Wightman ea300709f0 Fix model create fn not passing num_classes through. Fix #135
5 years ago
Ross Wightman 2c438c4e0d Merge branch 'master' of github.com:rwightman/pytorch-models
5 years ago
Ross Wightman 2681a8d618 Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop
5 years ago
Ross Wightman 9590f301a9 Merge branch 'blur' of https://github.com/VRandme/pytorch-image-models into VRandme-blur
5 years ago
Ross Wightman a5220ad3aa
Merge pull request #125 from Separius/patch-1
5 years ago
Ross Wightman 0834fbc01c Move pruned model adapt strings to separate txt files. A few minor formatting alignment tweaks.
5 years ago
Ross Wightman ba793f5c1c Merge branch 'adding_ECA_resnet' of https://github.com/yoniaflalo/pytorch-image-models into yoniaflalo-adding_ECA_resnet
5 years ago
AFLALO, Jonathan Isaac 07f19dd699 added eca resnet
5 years ago
Ross Wightman 1d4ac1b165 Bump version for pypi release. Fix #130
5 years ago
Ross Wightman be7c784d21 Small TResNet simplification, just use SelectAdaptivePool, don't notice any perf difference
5 years ago
Ross Wightman e3a98171b2 Remove some CRLF that made it into TResNet merge
5 years ago
Ross Wightman 0004f37d25 Some TResNet cleanup.
5 years ago
Ross Wightman 64fe37d008 Remove old mean/std helper, rely fully on cmd line or default_cfg now. Fixes #126
5 years ago
Ross Wightman e6f24e5578 Add 'momentum' optimizer (SGD w/o nesterov) for stable EfficientDet training defaults
5 years ago
Sepehr Sameni 20290b5b56
fix typo in eca
5 years ago
Ross Wightman ebf82b84ac
Merge pull request #122 from mrT23/master
5 years ago
Alexey Chernov bdb165a8a4 Merge changes in feature extraction interface to MobileNetV3
5 years ago
talrid 8a63c1add8 finalizing
5 years ago
talrid 6209146738 TResNet models
5 years ago
Ross Wightman 13cf68850b Remove poorly named metrics from torch imagenet example origins. Use top1/top5 in csv output for consistency with existing validation results files, acc elsewhere. Fixes #111
5 years ago
Ross Wightman 56608c9070 Bump version for pypi
5 years ago
Ross Wightman 1a8f5900ab Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.
5 years ago
Chris Ha 06a50a94a8 Fix minor typos in create_attn.py and resnet.py
5 years ago
Ross Wightman 1a9ab07307 One too many changes at a time, fix missing C
5 years ago
Ross Wightman f17b42bc33 Blur filter no longer a buffer
5 years ago
Ross Wightman 6cdeca24a3 Some cleanup and fixes for initial BlurPool impl. Still some testing and tweaks to go...
5 years ago
Chris Ha acd1b6cccd Implement Functional Blur on resnet.py
5 years ago
Chris Ha ce3d82b58b Update blurpool.py
5 years ago
Chris Ha 3a287a6e76 Create blurpool.py
5 years ago
Ross Wightman c99a5abed4
Merge pull request #115 from rwightman/mobilenetv2-experiment
5 years ago
Ross Wightman e34074b4da Add final weights for MobileNet-V2 experiments
5 years ago
Ross Wightman a6a5565de7 Fiddling...
5 years ago
Ross Wightman 5a16c533ff Add better resnext50_32x4d weights trained by andravin
5 years ago
Ross Wightman bc998cad91 Experimenting with some MobileNetV2 variations to compare against EfficientNet-Lite
5 years ago
Ross Wightman 3406e582cf Add EfficientNet-Lite results, update README
5 years ago
Ross Wightman bd05258f7b EfficientNet-Lite model added w/ converted checkpoints, validation in progress...
5 years ago
Andrew Lavin d92cc4da54 Modified save_checkpoint to always save last checkpoint. Fixes #98.
5 years ago
Ross Wightman 56e2ac3a6d
Merge pull request #94 from rwightman/lr_noise
5 years ago
Ross Wightman c16f25ced2 Add MobileNetV3 Large weights, results, update README and sotabench for merge
5 years ago
Ross Wightman c60069c1eb Annotate types on drop fns to avoid torchscript error
5 years ago
Ross Wightman 9fee316752 Enable fixed fanout calc in EfficientNet/MobileNetV3 weight init by default. Fix #84
5 years ago
Ross Wightman 27b3680d49 Revamp LR noise, move logic to scheduler base. Fixup PlateauLRScheduler and add it as an option.
5 years ago
Ross Wightman cc5a11abba version bump for PyPi update
5 years ago
Ross Wightman 514b0938c4 Experimenting with per-epoch learning rate noise w/ step scheduler
5 years ago
Ross Wightman 43225d110c Unify drop connect vs drop path under 'drop path' name, switch all EfficientNet/MobilenetV3 refs to 'drop_path'. Update factory to handle new drop args.
5 years ago
Ross Wightman f1d5f8a6c4 Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights
5 years ago
Ross Wightman 670c61b28f Some cutmix/mixup cleanup/fixes
5 years ago
Ross Wightman b3cb5f3275 Working on CutMix impl as per #8, integrating with Mixup, currently experimenting...
5 years ago
Ross Wightman 569419b38d Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch
5 years ago
Ross Wightman 53c47479c4 Batch validation batch size adjustment, tweak L2 crop pct
5 years ago
Ross Wightman 08553e16b3 Merge branch 'master' into attention
5 years ago
Ross Wightman fa38f24967 Update SK network configs, add weights for skresnet8 and skresnext50
5 years ago
Ross Wightman f098fda2ca Add map_location='cpu' to ModelEma resume, should improve #72
5 years ago
Ross Wightman ba15ca47e8 Add ported EfficientNet-L2, B0-B7 NoisyStudent weights from TF TPU
5 years ago
Ross Wightman 5e6dbbaf30 Add CBAM for experimentation
5 years ago
Ross Wightman d725991870 Remove debug print from ECA module
5 years ago
Ross Wightman 2a7d256fd5 Re-enable mem-efficient/jit activations after torchscript tests
5 years ago
Ross Wightman f902bcd54c Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases
5 years ago
Ross Wightman a99ec4e7d1 A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility.
5 years ago
Ross Wightman 13746a33fc Big move, layer modules and fn to timm/models/layers
5 years ago
Ross Wightman f54612f648 Merge branch 'select_kernel' into attention
5 years ago
Ross Wightman 4defbbbaa8 Fix module name mistake, start layers sub-package
5 years ago
Ross Wightman 7011cd0902 A little bit of ECA cleanup
5 years ago
Ross Wightman 46471df7b2 Merge pull request #82 from VRandme/eca
5 years ago
Ross Wightman d0eb59ef46 Remove unused default_init for EfficientNets, experimenting with fanout calc for #84
5 years ago
Chris Ha e6a762346a Implement Adaptive Kernel selection
5 years ago
Ross Wightman 13e8da2b46 SelectKernel split_input works best when input channels split like grouped conv, but output is full width. Disable zero_init for SK nets, seems a bad combo.
5 years ago
Chris Ha 6db087a1ff Merge remote-tracking branch 'upstream/master' into eca
5 years ago
Chris Ha 904c618040 Update EcaModule.py
5 years ago
Chris Ha db91ba053b EcaModule(CamelCase)
5 years ago
Ross Wightman 5c4991a088 Add PyTorch trained EfficientNet-ES weights from Andrew Lavin
5 years ago
Chris Ha d04ff95eda Merge branch 'master' into eca
5 years ago
Chris Ha d63ae121d5 Clean up eca_module code
5 years ago
Ross Wightman d66819d1f3 Indentation mistake. Fixes #81
5 years ago
Chris Ha f87fcd7e88 Implement Eca modules
5 years ago
Ross Wightman 4808b3c32f Bump version for PyPi update, fix few out of date README items/mistakes, add README updates for TF EfficientNet-B8 (RandAugment)
5 years ago
Ross Wightman 7d07ebb660 Adding some configs to sknet, incl ResNet50 variants from 'Compounding ... Assembled Techniques' paper and original SKNet50
5 years ago
Ross Wightman a9d2424fd1 Add separate zero_init_last_bn function to support more block variety without a mess
5 years ago
Ross Wightman 355aa152d5 Just leave it float for now, will look at fp16 later. Remove unused reference code.
5 years ago
Ross Wightman ef457555d3 BlockDrop working on GPU
5 years ago
Ross Wightman 3ff19079f9 Missed nn_ops.py from last commit
5 years ago
Ross Wightman 9f11b4e8a2 Add ConvBnAct layer to parallel integrated SelectKernelConv, add support for DropPath and DropBlock to ResNet base and SK blocks
5 years ago
Ross Wightman cefc9b7761 Move SelectKernelConv to conv2d_layers and more
5 years ago
Ross Wightman 9abe610931 Used wrong channel var for split
5 years ago
Ross Wightman 58e28dc7e7 Move Selective Kernel blocks/convs to their own sknet.py file
5 years ago
Ross Wightman a93bae6dc5 A SelectiveKernelBasicBlock for more experiments
5 years ago
Ross Wightman ad087b4b17 Missed bias=False in selection conv
5 years ago
Ross Wightman c8b3d6b81a Initial impl of Selective Kernel Networks. Very much a WIP.
5 years ago
Ross Wightman 1daa303744 Add support to Dataset for class id mapping file, clean up a bit of old logic. Add results file arg for validation and update script.
5 years ago
Ross Wightman 91534522f9 Add newly added TF ported EfficientNet-B8 weights (RandAugment)
5 years ago
Ross Wightman 12dbc74742 New ResNet50 JSD + RandAugment weights
5 years ago
Ross Wightman 2f41905ba5 Update ResNet50 weights to AuxMix trained 78.994 top-1. A few commentes re 'tiered_narrow' tn variant.
5 years ago
Ross Wightman d9a6a9d0af
Merge pull request #74 from rwightman/augmix-jsd
5 years ago
Ross Wightman 3eb4a96eda Update AugMix, JSD, etc comments and references
5 years ago
Ross Wightman a28117ea46 Add tiered narrow ResNet (tn) and weights for seresnext26tn_32x4d
5 years ago
Ross Wightman 833066b540 A few minor things in SplitBN
5 years ago
Ross Wightman 7547119891 Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together
5 years ago
Ross Wightman 2e955cfd0c Update RandomErasing with some improved arg names, tweak to aspect range
5 years ago
Ross Wightman 3cc0f91e23 Fix augmix variable name scope overlap, default non-blended mode
5 years ago
Ross Wightman ec0dd4053a Add updated RandAugment trained EfficientNet-B0 trained weights from @michaelklachko
5 years ago
Ross Wightman 40fea63ebe Add checkpoint averaging script. Add headers, shebangs, exec perms to all scripts
5 years ago
Ross Wightman 4666cc9aed Add --pin-mem arg to enable dataloader pin_memory (showing more benefit in some scenarios now), also add --torchscript arg to validate.py for testing models with jit.script
5 years ago
Ross Wightman 53001dd292 ResNet / Res2Net additions:
5 years ago
Ross Wightman f96b3e5e92 InceptionResNetV2 torchscript compatible
5 years ago
Ross Wightman 19d93fe454 Add selecsls60 weights
5 years ago
Ross Wightman 0062c15fb0 Update checkpoint url with modelzoo compatible ones.
5 years ago
Ross Wightman b5315e66b5 Streamline SelecSLS model without breaking checkpoint compat. Move cfg handling out of model class. Update feature/pooling behaviour to match current.
5 years ago
Ross Wightman d59a756c16 Run PyCharm autoformat on selecsls and change mix cap variables and model names to all lower
5 years ago
Ross Wightman fb3a0f4bb8
Merge pull request #65 from mehtadushy/selecsls
5 years ago
Ross Wightman 19fc205a4d Update comments on the new SE-ResNeXt26 models
5 years ago
Ross Wightman acc3ed2b8c Add EfficientNet-B3 weights, trained from scratch with RA.
5 years ago
Dushyant Mehta 2404361f62 correct asset paths
5 years ago
Dushyant Mehta 31939311f6 Added SelecSLS models
5 years ago
rwightman 1f4498f217 Add ResNet deep tiered stem and model weights for seresnext26t_32x4d and seresnext26d_32x4d
5 years ago
Dushyant Mehta 32012a44fd Added SelecSLS model
5 years ago
Ross Wightman 73b78459dc Add update RandAugment MixNet-XL weights
5 years ago
Ross Wightman 3afc2a4dc0 Some cleanup/improvements to AugMix impl:
5 years ago
Ross Wightman 232ab7fb12 Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
5 years ago
Ross Wightman a435ea1327 Change reduce_bn to distribute_bn, add ability to choose between broadcast and reduce (mean). Add crop_pct arg to allow selecting validation crop while training.
5 years ago
Ross Wightman 3bff2b21dc Add support for keeping running bn stats the same across distributed training nodes before eval/save
5 years ago
Ross Wightman 0161de0127 Switch RandoErasing back to on GPU normal sampling
5 years ago
Ross Wightman ff421e5e09 New PyTorch trained EfficientNet-B2 weights with my RandAugment impl
5 years ago
Ross Wightman 3bef524f9c Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.
5 years ago
Ross Wightman 6ca0828166 Update EfficientNet comments, MobileNetV3 non-TF create fns, fix factory arg checks, bump PyTorch version req to 1.2
5 years ago
Ross Wightman eccbadca74 Update EfficientNet comments
5 years ago
Ross Wightman 902d32fb16 Renamed gen_efficientnet.py -> efficientnet.py
5 years ago
Ross Wightman 5a0a8de7e3 ResNet updates:
5 years ago
Ross Wightman a39cc43374 Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo
5 years ago
Ross Wightman ad93347548 Initial HRNet classification model commit
5 years ago