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
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
Richard Chen
7ab9d4555c
add crossvit
3 years ago
Ross Wightman
78933122c9
Fix silly typo
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
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
...
Specify "interpolation" mode in vision_transformer's resize_pos_embed
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
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
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.
...
* Add eca_nfnet_l2 weights, 84.7 @ 384x384
* All 'non-std' (ie transformer / mlp) models have classifier / default_cfg test added
* Fix #694 reset_classifer / num_features / forward_features / num_classes=0 consistency for transformer / mlp models
* Add direct loading of npz to vision transformer (pure transformer so far, hybrid to come)
* Rename vit_deit* to deit_*
* Remove some deprecated vit hybrid model defs
* Clean up classifier flatten for conv classifiers and unusual cases (mobilenetv3/ghostnet)
* Remove explicit model fns for levit conv, just pass in arg
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