Migrations
/
pytorch-image-models
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
1735 Commits
41 Branches
41 Tags
28 MiB
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '7d9e321b76'
${ noResults }
Commit Graph

835 Commits (7d9e321b761a673000af312ad21ef1dec491b1e9)

Author SHA1 Message Date
Ross Wightman 26ff57f953 Add more small model defs for MobileNetV3/V2/LCNet
3 years ago
Ross Wightman 450ac6a0f5 Post merge tinynet fixes for pool_size, feature extraction
3 years ago
Ross Wightman a04164cd75 Merge branch 'tinynet' of https://github.com/rsomani95/pytorch-image-models into rsomani95-tinynet
3 years ago
Ross Wightman 8a93ce6ee3 Fix regnetv/w tests, refactor regnet generator code a bit
3 years ago
Ross Wightman 4dec8c8087 Fix skip path regression for updated EfficientNet and RegNet def. Add Pre-Act RegNet support (experimental). Remove BN-TF flag. Add efficientnet_b0_g8_gn model.
3 years ago
Ross Wightman a52a614475 Remove layer experiment which should not have been added
3 years ago
Ross Wightman ab49d275de Significant norm update
3 years ago
Rahul Somani 31bcd36e46 add tinynet models
3 years ago
KAI ZHAO b4b8d1ec18 fix hard-coded strides
3 years ago
Ross Wightman d04f2f1377 Update drop_path and drop_block (fast impl) to be symbolically traceable, slightly faster
3 years ago
Ross Wightman 834a9ec721 Disable use of timm nn.Linear wrapper since AMP autocast + torchscript use appears fixed
3 years ago
Ross Wightman 78912b6375 Updated EvoNorm implementations with some experimentation. Add FilterResponseNorm. Updated RegnetZ and ResNetV2 model defs for trials.
3 years ago
talrid c11f4c3218 support CNNs
3 years ago
mrT23 d6701d8a81
Merge branch 'rwightman:master' into master
3 years ago
qwertyforce ccb3815360
update arxiv link
3 years ago
Ross Wightman 3dc71695bf
Merge pull request #989 from martinsbruveris/feat/resmlp-dino
3 years ago
Ross Wightman 480c676ffa Fix FX breaking assert in evonorm
3 years ago
Martins Bruveris 85c5ff26d7 Added DINO pretrained ResMLP models.
3 years ago
Ross Wightman d633a014e6 Post merge cleanup. Fix potential security issue passing kwargs directly through to serialized web data.
3 years ago
Nathan Raw b18c9e323b
Update helpers.py
3 years ago
Nathan Raw 308d0b9554
Merge branch 'master' into hf-save-and-push
3 years ago
talrid 41559247e9 use_ml_decoder_head
3 years ago
Ross Wightman 1f53db2ece Updated lamhalobotnet weights, 81.5 top-1
3 years ago
Ross Wightman 15ef108eb4 Add better halo2botnet50ts weights, 82 top-1 @ 256
3 years ago
Ross Wightman 734b2244fe Add RegNetZ-D8 (83.5 @ 256, 84 @ 320) and RegNetZ-E8 (84.5 @ 256, 85 @ 320) weights. Update names of existing RegZ models to include group size.
3 years ago
Ross Wightman 93cc08fdc5 Make evonorm variables 1d to match other PyTorch norm layers, will break weight compat for any existing use (likely minimal, easy to fix).
3 years ago
Ross Wightman af607b75cc Prep a set of ResNetV2 models with GroupNorm, EvoNormB0, EvoNormS0 for BN free model experiments on TPU and IPU
3 years ago
Ross Wightman c976a410d9 Add ResNet-50 w/ GN (resnet50_gn) and SEBotNet-33-TS (sebotnet33ts_256) model defs and weights. Update halonet50ts weights w/ slightly better variant in1k val, more robust to test sets.
3 years ago
Ross Wightman f2006b2437 Cleanup qkv_bias cat in beit model so it can be traced
3 years ago
Ross Wightman 1076a65df1 Minor post FX merge cleanup
3 years ago
Ross Wightman 32c9937dec Merge branch 'fx-feature-extract-new' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-fx-feature-extract-new
3 years ago
Alexander Soare 65d827c7a6 rename notrace registration and standardize trace_utils imports
3 years ago
Ross Wightman 9b2daf2a35 Add ResNeXt-50 weights 81.1 top-1 @ 224, 82 @ 288 with A1 'high aug' recipe
3 years ago
Martins Bruveris 5220711d87 Added B/8 models to ViT.
3 years ago
Alexander Soare 0262a0e8e1 fx ready for review
3 years ago
Alexander Soare d2994016e9 Add try/except guards
3 years ago
Alexander Soare b25ff96768 wip - pre-rebase
3 years ago
Alexander Soare e051dce354 Make all models FX traceable
3 years ago
Alexander Soare cf4561ca72 Add FX based FeatureGraphNet capability
3 years ago
Alexander Soare 0149ec30d7 wip - attempting to rebase
3 years ago
Alexander Soare 02c3a75a45 wip - make it possible to use fx graph in train and eval mode
3 years ago
Alexander Soare bc3d4eb403 wip -rebase
3 years ago
Alexander Soare ab3ac3f25b Add FX based FeatureGraphNet capability
3 years ago
Ross Wightman ddc29da974 Add ResNet101 and ResNet152 weights from higher aug RSB recipes. 81.93 and 82.82 top-1 at 224x224.
3 years ago
Ross Wightman b328e56f49 Update eca_halonext26ts weights to a better set
3 years ago
Ross Wightman 2ddef942b9 Better fix for #954 that doesn't break torchscript, pull torch._assert into timm namespace when it exists
3 years ago
Ross Wightman 4f0f9cb348 Fix #954 by bringing traceable _assert into timm to allow compat w/ PyTorch < 1.8
3 years ago
Ross Wightman ae72d009fa Add weights for lambda_resnet50ts, halo2botnet50ts, lamhalobotnet50ts, updated halonet50ts
3 years ago
Ross Wightman b745d30a3e Fix formatting of last commit
3 years ago
Ross Wightman 3478f1d7f1 Traceability fix for vit models for some experiments
3 years ago
Ross Wightman f658a72e72 Cleanup re-use of Dropout modules in Mlp modules after some twitter feedback :p
3 years ago
Thomas Viehmann f805ba86d9 use .unbind instead of explicitly listing the indices
3 years ago
Ross Wightman 0fe4fd3f1f add d8 and e8 regnetz models with group size 8
3 years ago
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
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 e2b8d44ff0 Halo, bottleneck attn, lambda layer additions and cleanup along w/ experimental model defs
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 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
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
Ross Wightman b81e79aae9 Fix bottleneck attn transpose typo, hopefully these train better now..
3 years ago
Ross Wightman 6478bcd02c Fix regnetz_d conv layer name, use inception mean/std
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
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 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 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
4 years ago
Alexander Soare 3a55a30ed1 add notes from author
4 years ago
Alexander Soare 899cf84ccc bug fix - missing _dist postfix for many of the 224_dist models
4 years ago
Alexander Soare 623e8b8eb8 wip xcit
4 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
4 years ago
Ross Wightman 6d8272e92c Add SAM pretrained model defs/weights for ViT B16 and B32 models.
4 years ago
Ross Wightman ee4d8fc69a Remove unecessary line from nest post refactor
4 years ago
Ross Wightman 8165cacd82 Realized LayerNorm2d won't work in all cases as is, fixed.
4 years ago
Ross Wightman 81cd6863c8 Move aggregation (convpool) for nest into NestLevel, cleanup and enable features_only use. Finalize weight url.
4 years ago
Ross Wightman 6ae0ac6420 Merge branch 'nested_transformer' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-nested_transformer
4 years ago
Alexander Soare 7b8a0017f1 wip to review
4 years ago
Alexander Soare b11d949a06 wip checkpoint with some feature extraction work
4 years ago
Alexander Soare 23bb72ce5e nested_transformer wip
4 years ago
Ross Wightman 766b4d3262 Fix features for resnetv2_50t
4 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.
4 years ago
Ross Wightman 20a2be14c3 Add gMLP-S weights, 79.6 top-1
4 years ago
Ross Wightman 85f894e03d Fix ViT in21k representation (pre_logits) layer handling across old and new npz checkpoints
4 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
4 years ago
Ross Wightman 9c9755a808 AugReg release
4 years ago
Ross Wightman 381b279785 Add hybrid model fwds back
4 years ago
Ross Wightman 26f04a8e3e Fix a weight link
4 years ago
Ross Wightman 8f4a0222ed Add GMixer-24 MLP model weights, trained w/ TPU + PyTorch XLA
4 years ago
Ross Wightman b319eb5b5d Update ViT weights, more details to be added before merge.
4 years ago
Ross Wightman 8257b86550 Fix up resnetv2 bit/bitm model default res
4 years ago
Ross Wightman 1228f5a3d8 Add BiT distilled 50x1 and teacher 152x2 models from 'A good teacher is patient and consistent' paper.
4 years ago
Ross Wightman 511a8e8c96 Add official ResMLP weights.
4 years ago
Ross Wightman b9cfb64412 Support npz custom load for vision transformer hybrid models. Add posembed rescale for npz load.
4 years ago
Ross Wightman 8319e0c373 Add file docstring to std_conv.py
4 years ago
Ross Wightman 4d96165989 Merge branch 'master' into cleanup_xla_model_fixes
4 years ago
Ross Wightman 8880f696b6 Refactoring, cleanup, improved test coverage.
4 years ago
Ross Wightman ba2ca4b464 One codepath for stdconv, switch layernorm to batchnorm so gain included. Tweak epsilon values for nfnet, resnetv2, vit hybrid.
4 years ago
Ross Wightman b7a568f065 Fix torchscript issue in bat
4 years ago
Ross Wightman d17b374f0f Minimum input_size needed to be higher
4 years ago
Ross Wightman b3b90d944d Add min_input_size to bat_resnext to prevent test breakage.
4 years ago
Ross Wightman d413eef1bf Add ResMLP-24 model weights that I trained in PyTorch XLA on TPU-VM. 79.2 top-1.
4 years ago
Ross Wightman 10d8fa4620 Add gc and bat attention resnext26ts variants to byob for test.
4 years ago
Ross Wightman 2f5ed2dec1 Update `init_values` const for 24 and 36 layer ResMLP models
4 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.
4 years ago
Ross Wightman 2a63d0246b Post merge cleanup
4 years ago
Ross Wightman 45dec179e5
Merge pull request #681 from lmk123568/master
4 years ago
Dongyoon Han ded1671483 Fix stochastic depth working only with a shortcut
4 years ago
Mike b87d98b238
Update convit.py
4 years ago
Ross Wightman bda8ab015a Remove min channels for SelectiveKernel, divisor should cover cases well enough.
4 years ago
Ross Wightman a27f4aec4a Missed args for skresnext w/ refactoring.
4 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.
4 years ago
Ross Wightman 8bf63b6c6c Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable.
4 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.
4 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.
4 years ago
Ross Wightman 01b9108619 Merge branch 'master' into more_attn
4 years ago
Ross Wightman d7bab8a6c5 Fix strict flag change for checkpoint load.
4 years ago
Ross Wightman 02f9d4bc34 Add weights for resnet51q model, add 61q def.
4 years ago
Ross Wightman f615474be3 Fix broken test, repvgg block doesn't have attn_last attr.
4 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.
4 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.
4 years ago
Ross Wightman 5db7452173 Fix visformer in_chans stem handling
4 years ago
Ross Wightman 11ae795e99 Redo LeViT attention bias caching in a way that works with both torchscript and DataParallel
4 years ago
Ross Wightman d400f1dbdd Filter test models before creation for backward/torchscript tests
4 years ago
Ross Wightman c4572cc5aa Add Visformer-small weighs, tweak torchscript jit test img size.
4 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.
4 years ago
Ross Wightman 18bf520ad1 Add eca_nfnet_l2/l3 defs for future training
4 years ago
Ross Wightman f45de37690 Merge branch 'master' into levit_visformer_rednet
4 years ago
Ross Wightman 23c18a33e4 Add efficientnetv2_rw_m weights trained in PyTorch. 84.8 top-1 @ 416 test. 53M params.
4 years ago
Ross Wightman c2ba229d99 Prep for effcientnetv2_rw_m model weights that started training before official release..
4 years ago
Ross Wightman 30b9880d06 Minor adjustment, mutable default arg, extra check of valid len...
4 years ago
Ross Wightman be0abfbcce Merge branch 'master' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-master
4 years ago
Ross Wightman b7de82e835 ConViT cleanup, fix torchscript, bit of reformatting, reuse existing layers.
4 years ago
Ross Wightman 306c86b668 Merge branch 'convit' of https://github.com/amaarora/pytorch-image-models into amaarora-convit
4 years ago
Ross Wightman a569635045 Update twin weights to a copy in GitHub releases for faster dl. Tweak model class comment.
4 years ago
Ross Wightman be99eef9c1 Remove redundant code, cleanup, fix torchscript.
4 years ago
Ross Wightman 5ab372a3ec Merge branch 'master' of https://github.com/abcdvzz/pytorch-image-models into abcdvzz-master
4 years ago
Aman Arora 5db1eb6ba5 Add defaults
4 years ago
Aman Arora 8b1f2e8e1f remote unused matplotlib import
4 years ago
Aman Arora 40c506ba1e Add ConViT
4 years ago
Alexander Soare 7976019864 extend positional embedding resizing functionality to tnt
4 years ago
Alexander Soare 8086943b6f allow resize positional embeddings to non-square grid
4 years ago
talrid dc1a4efd28 mixer_b16_224_miil, mixer_b16_224_miil_in21k models
4 years ago
李鑫杰 7b799c4e79 add latest code
4 years ago
Ross Wightman d5af752117 Add preliminary gMLP and ResMLP impl to Mlp-Mixer
4 years ago
李鑫杰 00548b8427 Add Twins
4 years ago
Ross Wightman e7f0db8664 Fix drop/drop_path arg on MLP-Mixer model. Fix #641
4 years ago
Ross Wightman 9a3ae97311 Another set of byoanet models w/ ECA channel + SA + groups
4 years ago
Ross Wightman 7077f16c6a Change 21k model naming from _21k to _in21k for consistency with existing 21k models.
4 years ago
Ross Wightman 94d4b53352 Add temporary default_cfgs to visformer models so they pass tests
4 years ago
Ross Wightman 3bffc701f1 Merge branch 'master' into levit_visformer_rednet
4 years ago
Ross Wightman ecc7552c5c Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.
4 years ago
Ross Wightman 165fb354b2 Add initial RedNet model / Involution layer impl for testing
4 years ago
Ross Wightman 328249f11a Update README, tweak fine-tune effv2 model names.
4 years ago
Ross Wightman c4f482a08b EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models.
4 years ago
Ross Wightman 4fbc32d3d0 Fix crop_pct for cait models.
4 years ago
Ross Wightman 715519a5ef Rethink name of patch embed grid info
4 years ago
Ross Wightman b2c305c2aa Move Mlp and PatchEmbed modules into layers. Being used in lots of models now...
4 years ago
Ross Wightman 3ba6b55cb2 More adjustments to ByoaNet models for further experiments.
4 years ago
Ross Wightman 5fcddb96a8 Merge branch 'master' into cait
4 years ago
Ross Wightman 3db12b4b6a Finish CaiT cleanup
4 years ago
Ross Wightman 2d8b09fe8b Add official pretrained weights to MLP-Mixer, complete model cfgs.
4 years ago
Ross Wightman 12efffa6b1 Initial MLP-Mixer attempt...
4 years ago
Ross Wightman 0721559511 Improved (hopefully) init for SA/SA-like layers used in ByoaNets
4 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.
4 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.
4 years ago
Ross Wightman ddc743fdf8 Update ResNet-RS models to EMA weights
4 years ago
Ross Wightman 08d60f4a9a resnetrs50 pool sizing wrong
4 years ago
Ross Wightman 1daa15ecc3 Initial Cait commit. Still some cleanup to do.
4 years ago
Ross Wightman 67d0665b46 Post ResNet-RS merge cleanup. Add weight urls, adjust train/test/crop pct.
4 years ago
Aman Arora 560eae38f5
[WIP] Add ResNet-RS models (#554)
4 years ago
Ross Wightman 9cc7dda6e5 Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.
4 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.
4 years ago
Ross Wightman e5e15754c9 Fix coat first conv ident
4 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.
4 years ago
Ross Wightman 026430c083 Merge branch 'master' of https://github.com/morizin/pytorch-image-models-1 into morizin-master
4 years ago
Ross Wightman a0492e3b48 A few miil weights naming tweaks to improve compat with model registry and filtering wildcards.
4 years ago
talrid 8c1f03e56c comment
4 years ago
talrid 19e1b67a84 old spaces
4 years ago
talrid a443865876 update naming and scores
4 years ago
talrid cf0e371594 84_0
4 years ago
talrid 0968bdeca3 vit, tresnet and mobilenetV3 ImageNet-21K-P weights
4 years ago
morizin 1e3b6d4dfc
Update __init__.py
4 years ago
morizin fd022fd6a2
Update __init__.py
4 years ago
morizin c2d5087eae
Add files via upload
4 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.
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 f606c45c38 Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer
4 years ago
iamhankai de445e7827 Add GhostNet
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 ce62f96d4d ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
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
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 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
contrastive de86314655 Update TNT
4 years ago
contrastive cfc15283a4 Update TNT url
4 years ago
contrastive 4a09bc851e Add TNT model
4 years ago
Ross Wightman cf5fec5047 Cleanup experimental vit weight init a bit
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 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 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 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 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