Migrations
/
pytorch-image-models
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
1698 Commits
41 Branches
41 Tags
28 MiB
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '9a53c3f727'
${ noResults }
Commit Graph

1038 Commits (9a53c3f727c37a7e45a5394fc2db5ea851c2cdf8)

Author SHA1 Message Date
Ross Wightman 9a53c3f727 Finalize DaViT, some formatting and modelling simplifications (separate PatchEmbed to Stem + Downsample, weights on HF hub.
2 years ago
Fredo Guan fb717056da Merge remote-tracking branch 'upstream/main'
2 years ago
Ross Wightman 2bbc26dd82 version 0.8.8dev0
2 years ago
Ross Wightman 64667bfa0e Add 'gigantic' vit clip variant for feature extraction and future fine-tuning
2 years ago
Ross Wightman c2822568ec Update version to 0.8.7dev0
2 years ago
Ross Wightman 36989cfae4 Factor out readme generation in hub helper, add more readme fields
2 years ago
Ross Wightman 32f252381d Change order of checkpoitn filtering fn application in builder, try dict, model variant first
2 years ago
Ross Wightman e9f1376cde Cleanup resolve data config fns, add 'model' variant that takes model as first arg, make 'args' arg optional in original fn
2 years ago
Ross Wightman bed350f5e5 Push all MaxxViT weights to HF hub, cleanup impl, add feature map extraction support and prompote to 'std' architecture. Fix norm head for proper embedding / feat map output. Add new in12k + ft 1k weights.
2 years ago
Ross Wightman ca38e1e73f Update ClassifierHead module, add reset() method, update in_chs -> in_features for consistency
2 years ago
Ross Wightman 8ab573cd26 Add convnext_tiny and convnext_small 384x384 fine-tunes of in12k weights, fix pool size for laion CLIP convnext weights
2 years ago
Fredo Guan 81ca323751
Davit update formatting and fix grad checkpointing (#7)
2 years ago
Ross Wightman e9aac412de Correct mean/std for CLIP convnexts
2 years ago
Ross Wightman 42bd8f7bcb Add convnext_base CLIP image tower weights for fine-tuning / features
2 years ago
Ross Wightman e520553e3e Update batchnorm freezing to handle NormAct variants, Add GroupNorm1Act, update BatchNormAct2d tracing change from PyTorch
2 years ago
Ross Wightman a2c14c2064 Add tiny/small in12k pretrained and fine-tuned ConvNeXt models
2 years ago
Ross Wightman 01aea8c1bf Version 0.8.6dev0
2 years ago
Ross Wightman 2e83bba142 Revert head norm changes to ConvNeXt as it broke some downstream use, alternate workaround for fcmae weights
2 years ago
Ross Wightman 1825b5e314 maxxvit type
2 years ago
Ross Wightman 5078b28f8a More kwarg handling tweaks, maxvit_base_rw def added
2 years ago
Ross Wightman c0d7388a1b Improving kwarg merging in more models
2 years ago
Ross Wightman ae9153052f
Update version.py
2 years ago
Ross Wightman 60ebb6cefa Re-order vit pretrained entries for more sensible default weights (no .tag specified)
2 years ago
Ross Wightman e861b74cf8 Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way.
2 years ago
Ross Wightman add3fb864e Working on improved model card template for push_to_hf_hub
2 years ago
Ross Wightman dd0bb327e9
Update version.py
2 years ago
Ross Wightman 6e5553da5f
Add ConvNeXt-V2 support (model additions and weights) (#1614)
2 years ago
Ross Wightman 6902c48a5f Fix ResNet based models to work w/ norm layers w/o affine params. Reformat long arg lists into vertical form.
2 years ago
Ross Wightman d5aa17e415 Remove print from auto_augment
2 years ago
Ross Wightman 7c846d9970 Better vmap compat across recent torch versions
2 years ago
Ross Wightman 4e24f75289
Merge pull request #1593 from rwightman/multi-weight_effnet_convnext
2 years ago
Ross Wightman 8ece53e194 Switch BEiT to HF hub weights
2 years ago
Ross Wightman d1bfa9a000 Support HF datasets and TFSD w/ a sub-path by fixing split, fix #1598 ... add class mapping support to HF datasets in case class label isn't in info.
2 years ago
Ross Wightman e2fc43bc63 Version 0.8.2dev0
2 years ago
Ross Wightman 9a51e4ea2e Add FlexiViT models and weights, refactoring, push more weights
2 years ago
Fredo Guan 10b3f696b4
Davit std (#6)
2 years ago
Ross Wightman 656e1776de Convert mobilenetv3 to multi-weight, tweak PretrainedCfg metadata
2 years ago
Fredo Guan 546590c5f5
Merge branch 'rwightman:main' into main
2 years ago
Ross Wightman 6a01101905 Update efficientnet.py and convnext.py to multi-weight, add ImageNet-12k pretrained EfficientNet-B5 and ConvNeXt-Nano.
2 years ago
alec.tu 74d6afb4cd Add Adan to __init__.py
2 years ago
Fredo Guan 84178fca60
Merge branch 'rwightman:main' into main
2 years ago
Fredo Guan c43340ddd4
Davit std (#5)
2 years ago
Ross Wightman e7da205345 Fix aa min_max level clamp
2 years ago
Ross Wightman e3b2f5be0a Add 3-Augment support to auto_augment.py, clean up weighted choice handling, and allow adjust per op prob via arg string
2 years ago
Ross Wightman d5e7d6b27e Merge remote-tracking branch 'origin/main' into refactor-imports
2 years ago
Ross Wightman cda39b35bd Add a deprecation phase to module re-org
2 years ago
Fredo Guan edea013dd1
Davit std (#3)
2 years ago
Ross Wightman 7c4ed4d5a4 Add EVA-large models
2 years ago
Fredo Guan 434a03937d
Merge branch 'rwightman:main' into main
2 years ago
Ross Wightman 98047ef5e3 Add EVA FT results, hopefully fix BEiT test failures
2 years ago