Ross Wightman
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dd0b9b0e92
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Update REAMDE.md. Sneak in g/G (giant / gigantic?) ViT defs from scaling paper
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3 years ago |
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Ross Wightman
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5ce6d594ab
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Add some more small model weights lcnet, mnas, mnv2
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3 years ago |
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Ross Wightman
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a3dfd180aa
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Fix stem width for really small mobilenetv3 arch defs
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3 years ago |
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Ross Wightman
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d6cf6b3a3a
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Add missing dropout for head reset in ConvNeXt default head
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3 years ago |
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Ross Wightman
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82ce70eec3
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Some convnext cleanup, remove in place mul_ for gamma, breaking symbolic trace, cleanup head a bit...
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3 years ago |
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Ross Wightman
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c767acd39f
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Add initial ConvNeXt impl (mods of official code)
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3 years ago |
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Ross Wightman
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61ce0d7daf
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Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones.
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3 years ago |
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Ross Wightman
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ccfeb06936
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Fix out_indices handling breakage, should have left as per vgg approach.
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3 years ago |
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Ross Wightman
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a9f91483a6
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Fix #1078, DarkNet has 6 feature maps. Make vgg and darknet out_indices handling/comments equivalent
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3 years ago |
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Ross Wightman
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c21b21660d
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visformer supports spatial feat map, update pool_size in pretrained cfg to match
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3 years ago |
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Ross Wightman
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9c11dfd9cb
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Fix fbnetv3 pretrained cfg changes
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3 years ago |
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Ross Wightman
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1406cddc2e
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FBNetV3 timm trained weights added for b/d/g variants. Update version to 0.5.2 for pypi release.
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3 years ago |
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Ross Wightman
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4df51f3932
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Add lcnet_100 and mnasnet_small weights
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3 years ago |
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Ross Wightman
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5ccf682a8f
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Remove deprecated bn-tf train arg and create_model handler. Add evos/evob models back into fx test filter until norm_norm_norm branch merged.
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3 years ago |
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Ross Wightman
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b9a715c86a
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Add more small model defs for MobileNetV3/V2/LCNet
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3 years ago |
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Ross Wightman
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b27c21b09a
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Update drop_path and drop_block (fast impl) to be symbolically traceable, slightly faster
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3 years ago |
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Ross Wightman
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214c84a235
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Disable use of timm nn.Linear wrapper since AMP autocast + torchscript use appears fixed
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3 years ago |
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Ross Wightman
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450ac6a0f5
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Post merge tinynet fixes for pool_size, feature extraction
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3 years ago |
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Ross Wightman
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a04164cd75
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Merge branch 'tinynet' of https://github.com/rsomani95/pytorch-image-models into rsomani95-tinynet
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3 years ago |
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Rahul Somani
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31bcd36e46
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add tinynet models
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3 years ago |
|
KAI ZHAO
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b4b8d1ec18
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fix hard-coded strides
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3 years ago |
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Ross Wightman
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3dc71695bf
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Merge pull request #989 from martinsbruveris/feat/resmlp-dino
Added DINO pretrained ResMLP models.
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3 years ago |
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Ross Wightman
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480c676ffa
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Fix FX breaking assert in evonorm
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3 years ago |
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Martins Bruveris
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85c5ff26d7
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Added DINO pretrained ResMLP models.
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3 years ago |
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Ross Wightman
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d633a014e6
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Post merge cleanup. Fix potential security issue passing kwargs directly through to serialized web data.
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3 years ago |
|
Nathan Raw
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b18c9e323b
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Update helpers.py
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3 years ago |
|
Nathan Raw
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308d0b9554
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Merge branch 'master' into hf-save-and-push
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3 years ago |
|
Ross Wightman
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1f53db2ece
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Updated lamhalobotnet weights, 81.5 top-1
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3 years ago |
|
Ross Wightman
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15ef108eb4
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Add better halo2botnet50ts weights, 82 top-1 @ 256
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3 years ago |
|
Ross Wightman
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734b2244fe
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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.
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3 years ago |
|
Ross Wightman
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93cc08fdc5
|
Make evonorm variables 1d to match other PyTorch norm layers, will break weight compat for any existing use (likely minimal, easy to fix).
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3 years ago |
|
Ross Wightman
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af607b75cc
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Prep a set of ResNetV2 models with GroupNorm, EvoNormB0, EvoNormS0 for BN free model experiments on TPU and IPU
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3 years ago |
|
Ross Wightman
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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.
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3 years ago |
|
Ross Wightman
|
f2006b2437
|
Cleanup qkv_bias cat in beit model so it can be traced
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3 years ago |
|
Ross Wightman
|
1076a65df1
|
Minor post FX merge cleanup
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3 years ago |
|
Ross Wightman
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32c9937dec
|
Merge branch 'fx-feature-extract-new' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-fx-feature-extract-new
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3 years ago |
|
Alexander Soare
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65d827c7a6
|
rename notrace registration and standardize trace_utils imports
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3 years ago |
|
Ross Wightman
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9b2daf2a35
|
Add ResNeXt-50 weights 81.1 top-1 @ 224, 82 @ 288 with A1 'high aug' recipe
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3 years ago |
|
Martins Bruveris
|
5220711d87
|
Added B/8 models to ViT.
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3 years ago |
|
Alexander Soare
|
0262a0e8e1
|
fx ready for review
|
3 years ago |
|
Alexander Soare
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d2994016e9
|
Add try/except guards
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3 years ago |
|
Alexander Soare
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b25ff96768
|
wip - pre-rebase
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3 years ago |
|
Alexander Soare
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e051dce354
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Make all models FX traceable
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3 years ago |
|
Alexander Soare
|
cf4561ca72
|
Add FX based FeatureGraphNet capability
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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
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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.
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3 years ago |
|
Ross Wightman
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b328e56f49
|
Update eca_halonext26ts weights to a better set
|
3 years ago |
