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980 Commits (4d5c395160a6610d6c4f09f12aa08dac34f3405a)

Author SHA1 Message Date
Ross Wightman 25e7c8c5e5 Update broken resnetv2_50 weight url, add resnetv1_101 a1h recipe weights for 224x224 train
3 years ago
Ross Wightman b6caa356d2 Fixed eca_botnext26ts_256 weights added, 79.27
3 years ago
Ross Wightman c02334d9fa Add weights for regnetz_d and haloregnetz_c, update regnetz_c weights. Add commented PyTorch XLA code for halo attention
3 years ago
Ross Wightman 02daf2ab94 Add option to include relative pos embedding in the attention scaling as per references. See discussion #912
3 years ago
masafumi 047a5ec05f Fix bugs that Mixup does not work device=cpu
3 years ago
Ross Wightman cd34913278 Remove some outdated comments, botnet networks working great now.
3 years ago
Ross Wightman 6ed4cdccca Update lambda_resnet26t weights with better set
3 years ago
ICLR Author 44d6d51668 Add ConvMixer
3 years ago
Ross Wightman a85df34993 Update lambda_resnet26rpt weights to 78.9, add better halonet26t weights at 79.1 with tweak to attention dim
3 years ago
Ross Wightman b544ad4d3f regnetz model default cfg tweaks
3 years ago
Ross Wightman e5da481073 Small post-merge tweak for freeze/unfreeze, add to __init__ for utils
3 years ago
Ross Wightman 5ca72dcc75 Merge branch 'freeze-functionality' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-freeze-functionality
3 years ago
Ross Wightman e2b8d44ff0 Halo, bottleneck attn, lambda layer additions and cleanup along w/ experimental model defs
3 years ago
Alexander Soare 431e60c83f Add acknowledgements for freeze_batch_norm inspiration
3 years ago
Ross Wightman fbf59c04ee Change crop ratio on correct resnet50 variant.
3 years ago
Ross Wightman ae1ff5792f Clean a1/a2/3 rsb _0 checkpoints properly, fix v2 loading.
3 years ago
Ross Wightman 93901e992f Version bump to 0.5.0 for pending release post RSB and ATTN updates
3 years ago
Ross Wightman da0d39bedd Update default crop_pct for byoanet
3 years ago
Ross Wightman cc9bedf373 Add initial ResNet Strikes Back weights for ResNet50 and ResNetV2-50 models
3 years ago
Ross Wightman 64495505b7 Add updated lambda resnet26 and botnet26 checkpoints with fixes applied
3 years ago
Ross Wightman b2094f4ee8 support bits checkpoints in avg/load
3 years ago
Ross Wightman 007bc39323 Some halo and bottleneck attn code cleanup, add halonet50ts weights, use optimal crop ratios
3 years ago
Alexander Soare 65c3d78b96 Freeze unfreeze functionality finalized. Tests added
3 years ago
Alexander Soare 0cb8ea432c wip
3 years ago
Ross Wightman b1c2e3eb92 Match rel_pos_indices attr rename in conv branch
3 years ago
Ross Wightman b49630a138 Add relative pos embed option to LambdaLayer, fix last transpose/reshape.
3 years ago
Ross Wightman d657e2cc0b Remove dead code line from efficientnet
3 years ago
Ross Wightman 0ca687f224 Make 'regnetz' model experiments closer to actual RegNetZ, bottleneck expansion, expand from in_chs, no shortcut on stride 2, tweak model sizes
3 years ago
leondgarse 51eaf9360d
Remove a duplicate layer creation in byobnet.py
3 years ago
Ross Wightman b81e79aae9 Fix bottleneck attn transpose typo, hopefully these train better now..
3 years ago
Ross Wightman 80075b0b8a Add worker_seeding arg to allow selecting old vs updated data loader worker seed for (old) experiment repeatability
3 years ago
Ross Wightman 6478bcd02c Fix regnetz_d conv layer name, use inception mean/std
3 years ago
Ross Wightman 0387e6057e Update binary cross ent impl to use thresholding as an option (convert soft targets from mixup/cutmix to 0, 1)
3 years ago
Ross Wightman f8a63a3b71 Add worker_init_fn to loader for numpy seed per worker
3 years ago
Ross Wightman 515121cca1 Use reshape instead of view in std_conv, causing issues in recent PyTorch in channels_last
3 years ago
Ross Wightman da06cc61d4 ResNetV2 seems to work best without zero_init residual
3 years ago
Ross Wightman 8e11da0ce3 Add experimental RegNetZ(ish) models for training / perf trials.
3 years ago
Alexander Soare 6bbc50beb4 make it possible to provide norm_layer via create_model
3 years ago
nateraw adcb74f87f 🎨 Import load_state_dict_from_url directly
3 years ago
nateraw e65a2cba3d 🎨 cleanup and add a couple comments
3 years ago
nateraw 2b6ade24b3 🎨 write model card to enable inference
3 years ago
Ross Wightman cf5ac2800c BotNet models were still off, remove weights for bad configs. Add good SE-HaloNet33-TS weights.
3 years ago
Ross Wightman 24720abe3b Merge branch 'master' into attn_update
3 years ago
Ross Wightman 1c9284c640 Add BeiT 'finetuned' 1k weights and pretrained 22k weights, pretraining specific (masked) model excluded for now
3 years ago
Ross Wightman f8a215cfe6 A few more crossvit tweaks, fix training w/ no_weight_decay names, add crop option for scaling, adjust default crop_pct for large img size to 1.0 for better results
3 years ago
Ross Wightman 7ab2491ab7 Better handling of crossvit for tests / forward_features, fix torchscript regression in my changes
3 years ago
Ross Wightman f1808e0970 Post crossvit merge cleanup, change model names to reflect input size, cleanup img size vs scale handling, fix tests
3 years ago
Ross Wightman 4027412757 Add resnet33ts weights, update resnext26ts baseline weights
3 years ago
Richard Chen 9fe5798bee fix bug for reset classifier and fix for validating the dimension
3 years ago
Richard Chen 3718c5a5bd fix loading pretrained model
3 years ago
Richard Chen bb50b69a57 fix for torch script
3 years ago
nateraw abf9d51bc3 🚧 wip
3 years ago
Ross Wightman 5bd04714e4 Cleanup weight init for byob/byoanet and related
3 years ago
Ross Wightman 8642401e88 Swap botnet 26/50 weights/models after realizing a mistake in arch def, now figuring out why they were so low...
3 years ago
Ross Wightman 5f12de4875 Add initial AttentionPool2d that's being trialed. Fix comment and still trying to improve reliability of sgd test.
3 years ago
Ross Wightman 76881d207b Add baseline resnet26t @ 256x256 weights. Add 33ts variant of halonet with at least one halo in stage 2,3,4
3 years ago
Ross Wightman 484e61648d Adding the attn series weights, tweaking model names, comments...
3 years ago
Ross Wightman fb94350896 Update training script and loader factory to allow use of scheduler updates, repeat augment, and bce loss
3 years ago
Ross Wightman f262137ff2 Add RepeatAugSampler as per DeiT RASampler impl, showing promise for current (distributed) training experiments.
3 years ago
Ross Wightman ba9c1108a1 Add a BCE loss impl that converts dense targets to sparse /w smoothing as an alternate to CE w/ smoothing. For training experiments.
3 years ago
Ross Wightman 29a37e23ee LR scheduler update:
3 years ago
nateraw 28d2841acf 💄 apply isort
3 years ago
Ross Wightman 492c0a4e20 Update HaloAttn comment
3 years ago
nateraw e72c989973 ✨ add ability to push to hf hub
3 years ago
Richard Chen 7ab9d4555c add crossvit
3 years ago
Ross Wightman 3b9032ea48 Use Tensor.unfold().unfold() for HaloAttn, fast like as_strided but more clarity
3 years ago
Ross Wightman 78933122c9 Fix silly typo
3 years ago
Ross Wightman 2568ffc5ef Merge branch 'master' into attn_update
3 years ago
Ross Wightman 708d87a813 Fix ViT SAM weight compat as weights at URL changed to not use repr layer. Fix #825. Tweak optim test.
3 years ago
Ross Wightman 8449ba210c Improve performance of HaloAttn, change default dim calc. Some cleanup / fixes for byoanet. Rename resnet26ts to tfs to distinguish (extra fc).
3 years ago
Ross Wightman a8b65695f1 Add resnet26ts and resnext26ts models for non-attn baselines
3 years ago
Ross Wightman a5a542f17d Fix typo
3 years ago
Ross Wightman 925e102982 Update attention / self-attn based models from a series of experiments:
3 years ago
Ross Wightman d667351eac Tweak accuracy topk safety. Fix #807
3 years ago
Yohann Lereclus 35c9740826 Fix accuracy when topk > num_classes
3 years ago
Ross Wightman a16a753852 Add lamb/lars to optim init imports, remove stray comment
3 years ago
Ross Wightman c207e02782 MOAR optimizer changes. Woo!
3 years ago
Ross Wightman a426511c95 More optimizer cleanup. Change all to no longer use .data. Improve (b)float16 use with adabelief. Add XLA compatible Lars.
3 years ago
Ross Wightman 9541f4963b One more scalar -> tensor fix for lamb optimizer
3 years ago
Ross Wightman 8f68193c91
Update lamp.py comment
3 years ago
Ross Wightman 4d284017b8
Merge pull request #813 from rwightman/opt_cleanup
3 years ago
Ross Wightman a6af48be64 add madgradw optimizer
3 years ago
Ross Wightman 55fb5eedf6 Remove experiment from lamb impl
3 years ago
Ross Wightman 8a9eca5157 A few optimizer comments, dead import, missing import
3 years ago
Ross Wightman ac469b50da Optimizer improvements, additions, cleanup
3 years ago
Sepehr Sameni abf3e044bb
Update scheduler_factory.py
3 years ago
Ross Wightman 3cdaf5ed56 Add `mmax` config key to auto_augment for increasing upper bound of RandAugment magnitude beyond 10. Make AugMix uniform sampling default not override config setting.
3 years ago
Ross Wightman 1042b8a146 Add non fused LAMB optimizer option
3 years ago
Ross Wightman 01cb46a9a5 Add gc_efficientnetv2_rw_t weights (global context instead of SE attn). Add TF XL weights even though the fine-tuned ones don't validate that well. Change default arg for GlobalContext to use scal (mul) mode.
3 years ago
Ross Wightman d3f7440650 Add EfficientNetV2 XL model defs
3 years ago
Ross Wightman 72b227dcf5
Merge pull request #750 from drjinying/master
3 years ago
Ross Wightman 2907c1f967
Merge pull request #746 from samarth4149/master
3 years ago
Ross Wightman 748ab852ca Allow act_layer switch for xcit, fix in_chans for some variants
3 years ago
Ying Jin 20b2d4b69d Use bicubic interpolation in resize_pos_embed()
3 years ago
Ross Wightman d3255adf8e Merge branch 'xcit' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-xcit
3 years ago
Ross Wightman f8039c7492 Fix gc effv2 model cfg name
3 years ago
Alexander Soare 3a55a30ed1 add notes from author
3 years ago
Alexander Soare 899cf84ccc bug fix - missing _dist postfix for many of the 224_dist models
3 years ago
Alexander Soare 623e8b8eb8 wip xcit
3 years ago
Ross Wightman 392368e210 Add efficientnetv2_rw_t defs w/ weights, and gc variant, as well as gcresnet26ts for experiments. Version 0.4.13
3 years ago
samarth daab57a6d9 1. Added a simple multi step LR scheduler
3 years ago
Ross Wightman 6d8272e92c Add SAM pretrained model defs/weights for ViT B16 and B32 models.
3 years ago
Ross Wightman ee4d8fc69a Remove unecessary line from nest post refactor
3 years ago
Ross Wightman 8165cacd82 Realized LayerNorm2d won't work in all cases as is, fixed.
3 years ago
Ross Wightman 81cd6863c8 Move aggregation (convpool) for nest into NestLevel, cleanup and enable features_only use. Finalize weight url.
3 years ago
Ross Wightman 6ae0ac6420 Merge branch 'nested_transformer' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-nested_transformer
3 years ago
Alexander Soare 7b8a0017f1 wip to review
3 years ago
Alexander Soare b11d949a06 wip checkpoint with some feature extraction work
3 years ago
Alexander Soare 23bb72ce5e nested_transformer wip
3 years ago
Ross Wightman 766b4d3262 Fix features for resnetv2_50t
3 years ago
Ross Wightman e8045e712f Fix BatchNorm for ResNetV2 non GN models, add more ResNetV2 model defs for future experimentation, fix zero_init of last residual for pre-act.
3 years ago
Ross Wightman 20a2be14c3 Add gMLP-S weights, 79.6 top-1
3 years ago
Ross Wightman 85f894e03d Fix ViT in21k representation (pre_logits) layer handling across old and new npz checkpoints
3 years ago
Ross Wightman b41cffaa93 Fix a few issues loading pretrained vit/bit npz weights w/ num_classes=0 __init__ arg. Missed a few other small classifier handling detail on Mlp, GhostNet, Levit. Should fix #713
3 years ago
Ross Wightman 9c9755a808 AugReg release
3 years ago
Ross Wightman 381b279785 Add hybrid model fwds back
3 years ago
Ross Wightman 26f04a8e3e Fix a weight link
3 years ago
Ross Wightman 8f4a0222ed Add GMixer-24 MLP model weights, trained w/ TPU + PyTorch XLA
3 years ago
Ross Wightman 4c09a2f169 Bump version 0.4.12
3 years ago
Ross Wightman b319eb5b5d Update ViT weights, more details to be added before merge.
3 years ago
Ross Wightman 8257b86550 Fix up resnetv2 bit/bitm model default res
3 years ago
Ross Wightman 1228f5a3d8 Add BiT distilled 50x1 and teacher 152x2 models from 'A good teacher is patient and consistent' paper.
3 years ago
Ross Wightman 511a8e8c96 Add official ResMLP weights.
3 years ago
Ross Wightman b9cfb64412 Support npz custom load for vision transformer hybrid models. Add posembed rescale for npz load.
3 years ago
Ross Wightman 8319e0c373 Add file docstring to std_conv.py
3 years ago
Ross Wightman 4d96165989 Merge branch 'master' into cleanup_xla_model_fixes
3 years ago
Ross Wightman 8880f696b6 Refactoring, cleanup, improved test coverage.
3 years ago
Ross Wightman ba2ca4b464 One codepath for stdconv, switch layernorm to batchnorm so gain included. Tweak epsilon values for nfnet, resnetv2, vit hybrid.
3 years ago
Ross Wightman b7a568f065 Fix torchscript issue in bat
3 years ago
Ross Wightman d17b374f0f Minimum input_size needed to be higher
3 years ago
Ross Wightman b3b90d944d Add min_input_size to bat_resnext to prevent test breakage.
3 years ago
Ross Wightman d413eef1bf Add ResMLP-24 model weights that I trained in PyTorch XLA on TPU-VM. 79.2 top-1.
3 years ago
Ross Wightman 10d8fa4620 Add gc and bat attention resnext26ts variants to byob for test.
3 years ago
Ross Wightman 2f5ed2dec1 Update `init_values` const for 24 and 36 layer ResMLP models
3 years ago
Ross Wightman 8e4ac3549f All ScaledStdConv and StdConv uses default to using F.layernorm so that they work with PyTorch XLA. eps value tweaking is a WIP.
3 years ago
Ross Wightman 2a63d0246b Post merge cleanup
3 years ago
Ross Wightman 45dec179e5
Merge pull request #681 from lmk123568/master
3 years ago
Dongyoon Han ded1671483 Fix stochastic depth working only with a shortcut
3 years ago
Mike b87d98b238
Update convit.py
3 years ago
Ross Wightman 02320c3e3d Bump version to 0.4.11
3 years ago
Ross Wightman bda8ab015a Remove min channels for SelectiveKernel, divisor should cover cases well enough.
3 years ago
Ross Wightman a27f4aec4a Missed args for skresnext w/ refactoring.
3 years ago
Ross Wightman 307a935b79 Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.
3 years ago
Ross Wightman 8bf63b6c6c Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable.
3 years ago
Ross Wightman bcec14d3b5 Bring EfficientNet SE layer in line with others, pull se_ratio outside of blocks. Allows swapping w/ other attn layers.
3 years ago
Ross Wightman 9611458e19 Throw in some FBNetV3 code I had lying around, some refactoring of SE reduction channel calcs for all EffNet archs.
3 years ago
Ross Wightman 01b9108619 Merge branch 'master' into more_attn
3 years ago
Ross Wightman d7bab8a6c5 Fix strict flag change for checkpoint load.
3 years ago
Ross Wightman 02f9d4bc34 Add weights for resnet51q model, add 61q def.
3 years ago
Ross Wightman f615474be3 Fix broken test, repvgg block doesn't have attn_last attr.
3 years ago
Ross Wightman 742c2d5247 Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.
3 years ago
Ross Wightman 9c78de8c02 Fix #661, move hardswish out of default args for LeViT. Enable native torch support for hardswish, hardsigmoid, mish if present.
3 years ago
Ross Wightman 5db7452173 Fix visformer in_chans stem handling
3 years ago
Ross Wightman 318360c3f9 Update README.md before merge. Bump version to 0.4.10
3 years ago
Ross Wightman 11ae795e99 Redo LeViT attention bias caching in a way that works with both torchscript and DataParallel
3 years ago
Ross Wightman d400f1dbdd Filter test models before creation for backward/torchscript tests
3 years ago
Ross Wightman c4572cc5aa Add Visformer-small weighs, tweak torchscript jit test img size.
3 years ago
Ross Wightman bfc72f75d3 Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.
3 years ago
Ross Wightman 18bf520ad1 Add eca_nfnet_l2/l3 defs for future training
3 years ago
Ross Wightman f45de37690 Merge branch 'master' into levit_visformer_rednet
3 years ago
Ross Wightman 23c18a33e4 Add efficientnetv2_rw_m weights trained in PyTorch. 84.8 top-1 @ 416 test. 53M params.
3 years ago
Ross Wightman c2ba229d99 Prep for effcientnetv2_rw_m model weights that started training before official release..
3 years ago
Ross Wightman 30b9880d06 Minor adjustment, mutable default arg, extra check of valid len...
3 years ago
Ross Wightman be0abfbcce Merge branch 'master' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-master
3 years ago
Ross Wightman b7de82e835 ConViT cleanup, fix torchscript, bit of reformatting, reuse existing layers.
3 years ago
Ross Wightman 306c86b668 Merge branch 'convit' of https://github.com/amaarora/pytorch-image-models into amaarora-convit
3 years ago
Ross Wightman a569635045 Update twin weights to a copy in GitHub releases for faster dl. Tweak model class comment.
3 years ago
Ross Wightman be99eef9c1 Remove redundant code, cleanup, fix torchscript.
3 years ago
Ross Wightman 5ab372a3ec Merge branch 'master' of https://github.com/abcdvzz/pytorch-image-models into abcdvzz-master
3 years ago
Aman Arora 5db1eb6ba5 Add defaults
3 years ago
Aman Arora 8b1f2e8e1f remote unused matplotlib import
3 years ago
Aman Arora 40c506ba1e Add ConViT
3 years ago
Alexander Soare 7976019864 extend positional embedding resizing functionality to tnt
3 years ago
Alexander Soare 8086943b6f allow resize positional embeddings to non-square grid
3 years ago
talrid dc1a4efd28 mixer_b16_224_miil, mixer_b16_224_miil_in21k models
3 years ago
李鑫杰 7b799c4e79 add latest code
3 years ago
Ross Wightman d5af752117 Add preliminary gMLP and ResMLP impl to Mlp-Mixer
3 years ago
李鑫杰 00548b8427 Add Twins
3 years ago
Ross Wightman e7f0db8664 Fix drop/drop_path arg on MLP-Mixer model. Fix #641
3 years ago
Ross Wightman 9a3ae97311 Another set of byoanet models w/ ECA channel + SA + groups
3 years ago
Ross Wightman d53e91218e Fix tf.data options setting for newer TF versions
3 years ago
Ross Wightman 7077f16c6a Change 21k model naming from _21k to _in21k for consistency with existing 21k models.
3 years ago
Ross Wightman 94d4b53352 Add temporary default_cfgs to visformer models so they pass tests
3 years ago
Ross Wightman 3bffc701f1 Merge branch 'master' into levit_visformer_rednet
3 years ago
Ross Wightman ecc7552c5c Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.
3 years ago
Ross Wightman 165fb354b2 Add initial RedNet model / Involution layer impl for testing
3 years ago
Ross Wightman 328249f11a Update README, tweak fine-tune effv2 model names.
3 years ago
Ross Wightman c4f482a08b EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models.
3 years ago
Ross Wightman 4fbc32d3d0 Fix crop_pct for cait models.
3 years ago
Ross Wightman 715519a5ef Rethink name of patch embed grid info
3 years ago
Ross Wightman b2c305c2aa Move Mlp and PatchEmbed modules into layers. Being used in lots of models now...
3 years ago
Ross Wightman 3ba6b55cb2 More adjustments to ByoaNet models for further experiments.
3 years ago
Ross Wightman 5fcddb96a8 Merge branch 'master' into cait
3 years ago
Ross Wightman 3db12b4b6a Finish CaiT cleanup
3 years ago
Ross Wightman 2d8b09fe8b Add official pretrained weights to MLP-Mixer, complete model cfgs.
3 years ago
Ross Wightman 12efffa6b1 Initial MLP-Mixer attempt...
3 years ago
Ross Wightman 0721559511 Improved (hopefully) init for SA/SA-like layers used in ByoaNets
3 years ago
Ross Wightman d5473c17f7 Fix incorrect name of shortcut/identity paths in many residual nets. Inherited from naming in old old torchvision, long fixed there.
3 years ago
Ross Wightman 0d87650fea Remove filter hack from BlurPool w/ non-persistent buffer. Use BlurPool2d instead of AntiAliasing.. for TResNet. Breaks PyTorch < 1.6.
3 years ago
Ross Wightman ddc743fdf8 Update ResNet-RS models to EMA weights
3 years ago
Ross Wightman 08d60f4a9a resnetrs50 pool sizing wrong
3 years ago
Ross Wightman 1daa15ecc3 Initial Cait commit. Still some cleanup to do.
3 years ago
Ross Wightman 67d0665b46 Post ResNet-RS merge cleanup. Add weight urls, adjust train/test/crop pct.
3 years ago
Aman Arora 560eae38f5
[WIP] Add ResNet-RS models (#554)
3 years ago
Ross Wightman 9cc7dda6e5 Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.
3 years ago
Ross Wightman e15c3886ba Defaul lambda r=7. Define '26t' stage 4/5 256x256 variants for all of bot/halo/lambda nets for experiment. Add resnet50t for exp. Fix a few comments.
3 years ago
Ross Wightman e5e15754c9 Fix coat first conv ident
3 years ago
Ross Wightman 76739a7589 CoaT merge. Bit of formatting, fix torchscript (for non features), remove einops/einsum dep, add pretrained weight hub (url) support.
3 years ago
Ross Wightman 026430c083 Merge branch 'master' of https://github.com/morizin/pytorch-image-models-1 into morizin-master
3 years ago
Ross Wightman a0492e3b48 A few miil weights naming tweaks to improve compat with model registry and filtering wildcards.
3 years ago
talrid 8c1f03e56c comment
3 years ago
talrid 19e1b67a84 old spaces
3 years ago
talrid a443865876 update naming and scores
3 years ago
talrid cf0e371594 84_0
3 years ago
talrid 0968bdeca3 vit, tresnet and mobilenetV3 ImageNet-21K-P weights
3 years ago
morizin 1e3b6d4dfc
Update __init__.py
3 years ago
morizin fd022fd6a2
Update __init__.py
3 years ago
morizin c2d5087eae
Add files via upload
3 years ago
Norman Mu 79640fcc1f Enable uniform augmentation magnitude sampling and set AugMix default
3 years ago
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.
3 years ago
Ross Wightman e8a64fb881 Test input size for efficientnet_v2s was wrong in last results run
3 years ago
Ross Wightman 2df77ee5cb Fix torchscript compat and features_only behaviour in GhostNet PR. A few minor formatting changes. Reuse existing layers.
3 years ago
Ross Wightman d793deb51a Merge branch 'master' of https://github.com/iamhankai/pytorch-image-models into iamhankai-master
3 years ago
Ross Wightman e685618f45
Merge pull request #550 from amaarora/wandb
3 years ago
Ross Wightman f606c45c38 Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer
3 years ago
iamhankai de445e7827 Add GhostNet
3 years ago
Ross Wightman 5a196dddf6 Update README.md with latest, bump version to 0.4.8
3 years ago
Ross Wightman b3d7580df1 Update ByoaNet comments. Fix first Steam feat chs for ByobNet.
3 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
3 years ago
Ross Wightman 4e4b863b15 Missed norm.py
3 years ago
Ross Wightman 7c97e66f7c Remove commented code, add more consistent seed fn
3 years ago
Ross Wightman 364dd6a58e Merge branch 'master' into byoanet-self_attn
3 years ago
Ross Wightman ce62f96d4d ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
3 years ago
Ross Wightman cd3dc4979f Fix adabelief imports, remove prints, preserve memory format is the default arg for zeros_like
3 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.
3 years ago
Aman Arora 5772c55c57 Make wandb optional
3 years ago
Aman Arora f54897cc0b make wandb not required but rather optional as huggingface_hub
3 years ago
Aman Arora 3f028ebc0f import wandb in summary.py
3 years ago
Aman Arora 624c9b6949 log to wandb only if using using wandb
3 years ago
juntang addfc7c1ac adabelief
3 years ago
Ross Wightman fb896c0b26 Update some comments re preliminary EfficientNet-V2 assumptions
3 years ago
Ross Wightman 2b49ab7a36 Fix ResNetV2 pretrained classifier issue. Fixes #540
3 years ago
Ross Wightman de9dff933a EfficientNet-V2S preliminary model def (for experimentation)
3 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.
3 years ago
Ross Wightman 2bb65bd875 Wrong default_cfg pool_size for L1
3 years ago
Ross Wightman bf2ca6bdf4 Merge jax and original weight init
3 years ago
Ross Wightman acbd698c83 Update README.md with updates. Small tweak to head_dist handling.
3 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.
3 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.
3 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
3 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.
3 years ago
Ross Wightman a5310a3451 Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
3 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
3 years ago
Ross Wightman a760a4c3f4 Some ViT cleanup, merge distilled model with main, fixup torchscript support for distilled models
3 years ago
Ross Wightman 0dfc5a66bb Add PiT model from https://github.com/naver-ai/pit
3 years ago
Ross Wightman 51febd869b Small tweak to tests for tnt model, reorder model imports.
3 years ago
Ross Wightman b27a4e0d88 Merge branch 'master' of https://github.com/contrastive/pytorch-image-models into contrastive-master
3 years ago
Aman Arora 6b18061773 Add GIST to docstring for quick access
3 years ago
contrastive de86314655 Update TNT
3 years ago
Aman Arora 92b1db9a79 update docstrings and add check on and
3 years ago
Aman Arora b85be24054 update to work with fnmatch
3 years ago
contrastive cfc15283a4 Update TNT url
3 years ago
contrastive 4a09bc851e Add TNT model
3 years ago
Aman Arora 20626e8387 Add to extract stats for SPP
3 years ago
Ross Wightman cf5fec5047 Cleanup experimental vit weight init a bit
3 years ago
Ross Wightman f42f1df26c Improve evenness of per-worker split for validation set with TFDS
3 years ago
Ross Wightman cbcb76d72c Should have included Conv2d layers in original weight init. Lets see what the impact is...
3 years ago
Ross Wightman 4de57ccf01 Add weight init scheme that's closer to JAX impl
3 years ago
Ross Wightman 14ac4abf74 Change huggingface hub revision delimiter to '@', add hf_hub reference for eca_nfnet_l0 model as an example.
3 years ago
Ross Wightman 740f32c96a Add ECA-NFNet-L0 weights and update model name. Update README and bump version to 0.4.6
3 years ago
Ross Wightman 5e2e4e7fb6
Merge pull request #502 from khatami-mehrdad/efficientnet_dg
3 years ago
Ross Wightman 45c048ba13 A few minor fixes and bit more cleanup on the huggingface hub integration.
3 years ago
Mehrdad 97f49d163c adding efficientnet_el, efficientnet_es_prunedefficientnet_es_pruned and efficientnet_el_pruned pretrained models to timm/models
3 years ago
Ross Wightman ead80d33c5 Fix typo, naming consistency
3 years ago
Ross Wightman d584e7f617 Support for huggingface hub via create_model and default_cfgs.
3 years ago
Ross Wightman 1f799afcb3 Remove capital letters in model names
3 years ago
AFLALO, Jonathan Isaac 82c1fe958a added hardcorenas model
3 years ago
Ross Wightman f57db99101 Update README, fix iabn pip version print.
3 years ago
Ross Wightman 7ef7788ee9 Fix CUDA crash w/ channels-last + CSP models. Remove use of chunk()
3 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.
3 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.
3 years ago
Ross Wightman 0706d05d52 Benchmark models listed in txt file. Add more hybrid vit variants for testing
3 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.
3 years ago
Ross Wightman de97be9146 Spell out diff between my small and deit small vit models.
3 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.
3 years ago
Ross Wightman 0e16d4e9fb Add benchmark.py script, and update optimizer factory to be more friendly to use outside of argparse interface.
3 years ago
Ross Wightman 4bc103f504 Fix CUDA crash w/ channels-last + CSP models. Remove use of chunk()
3 years ago
Ross Wightman 8563609b28 Update notes in ScaledStdConv impl
3 years ago
Ross Wightman 678ba4e0a2 Add NFNet-F model weights ported from DeepMind Haiku impl and new set of models w/ compatible config.
3 years ago
Ross Wightman 9de2ec5e44 Update README for AGC and bump version to 0.4.4
3 years ago
Ross Wightman 4f49b94311 Initial AGC impl. Still testing.
3 years ago
Ross Wightman 5f9aff395c Fix stem width in NFNet-F models, add some more comments, add some 'light' NFNet models for testing.
3 years ago
Ross Wightman d86dbe45c2 Update README.md and few more comments
3 years ago
Ross Wightman 0d253e2c5e Fix issue with nfnet tests, bit more cleanup.
3 years ago
Ross Wightman cb06c7a910 Add NFNet-F models and tweak existing NF models.
3 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).
3 years ago
Ross Wightman d8e69206be
Merge pull request #419 from rwightman/byob_vgg_models
3 years ago
Ross Wightman ca9b078ac7 Update README.md and docs. Version bumped to 0.4.3
3 years ago
Ross Wightman 6853b07bbd Improve RegVGG block identity/vs non for clariy and fix attn usage. Add comments.
3 years ago
Ross Wightman 0356e773f5 Default to native PyTorch AMP instead of APEX amp. Too many APEX issues cropping up lately.
3 years ago
Reuben 94ca140b67 update collections.abc import
3 years ago
Ross Wightman b4e216e377 Fix a few small things.
3 years ago
Ross Wightman dc85e5a237 Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models.
3 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.
3 years ago
Ross Wightman 9811e229f7 Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
3 years ago
Ross Wightman a39c3ee216
Merge branch 'master' into eca-weights
3 years ago
Ross Wightman e9d6fe293c Update README for new weights. Version 0.4.2
3 years ago
Ross Wightman 666de85cf1 Move stride in EdgeResidual block to 3x3 expansion conv. Fix #414
3 years ago
Ross Wightman 3b57490a63 Fix some half removed resnet model defs, pooling for ecaresnet269d
3 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.
3 years ago
Ross Wightman b9843f954b
Merge pull request #282 from tigert1998/patch-1
3 years ago
hwangdeyu 7a4be5c035 add operator HardSwishJitAutoFn export to onnx
3 years ago
Ross Wightman 4203efa36d Fix #387 so that checkpoint saver works with max history of 1. Add checkpoint-hist arg to train.py.
3 years ago
Ross Wightman f0e65e37b7 Fix NF-ResNet101 model defs
3 years ago
Ross Wightman 2c988c3b6e Update README.md for NF-nets, bump version to 0.4.1 for merge
3 years ago
Ross Wightman 2de54d174a Fix pool size defs for NFNet models, add a comment.
3 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.
3 years ago
Ross Wightman 5a8e1e643e Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
3 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)
3 years ago
Ross Wightman 587780e56b Update README.md and bump version to 0.4.0
3 years ago
Ross Wightman bb50ac4708 Add DeiT distilled weights and distilled model def. Remove some redudant ViT model args.
3 years ago
Ross Wightman c16e965037 Add some ViT comments and fix a few minor issues.
3 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
3 years ago
Ross Wightman 5d4c3d0af3 Add enhanced ParserImageInTar that can read images from tars within tars, folders with multiple tars, etc. Additional comment cleanup.
3 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