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.
4 years ago
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
4 years ago
5d4c3d0af3
Add enhanced ParserImageInTar that can read images from tars within tars, folders with multiple tars, etc. Additional comment cleanup.
4 years ago
855d6cc217
More dataset work including factories and a tensorflow datasets (TFDS) wrapper
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* Add parser/dataset factory methods for more flexible dataset & parser creation
* Add dataset parser that wraps TFDS image classification datasets
* Tweak num_classes handling bug for 21k models
* Add initial deit models so they can be benchmarked in next csv results runs
4 years ago
59ec7e6a53
Merge branch 'master' into imagenet21k_datasets_more
4 years ago
e7a9ddf982
Merge pull request #334 from kecsap/links
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Follow symbolic links during dataset scanning
4 years ago
7cae7e7035
Follow links during dataset scanning
4 years ago
0167f749d3
Remove some old __future__ imports
4 years ago
e35e9760a6
More work on dataset / parser split and imagenet21k (tar) support
4 years ago
de6046e213
Initial commit for dataset / parser reorg to support additional datasets / types
4 years ago
de15b43865
Fix a bug with accuracy retrieving from RealLabels
4 years ago
e8ca45854c
More models in sotabench, more control over sotabench run, dataset filename extraction consistency
4 years ago
47a7b3b5b1
More flexible mixup mode, add 'half' mode.
4 years ago
8c9814e3f5
Final cleanup of mixup/cutmix. Element/batch modes working with both collate (prefetcher active) and without prefetcher.
4 years ago
cd23f55397
Fix mixed prec issues with new mixup code
4 years ago
f471c17c9d
More cutmix/mixup overhaul, ready to kick-off some trials.
4 years ago
92f2d0d65d
Merge branch 'master' into cutmix. Fixup a few issues.
4 years ago
e62758cf4f
More documentation updates, fix a typo
4 years ago
fa28067704
Add more augmentation arguments, including a no_aug disable flag. Fix #209
4 years ago
c53ec33ae0
Add synset/label indices for results generation. Add 'valid labels' to validation script to support imagenet-a/r label subsets properly.
4 years ago
7995295968
Merge branch 'logger' into features. Change 'logger' to '_logger'.
4 years ago
6c17d57a2c
Fix some attributions, add copyrights to some file docstrings
4 years ago
d23a2697d0
Working on feature extraction, interfaces refined, a number of models working, some in progress.
5 years ago
78fa0772cc
Leverage python hierachical logger
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with this update one can tune the kind of logs generated by timm but
training and inference traces are unchanged
5 years ago
a7f570c9b7
added MultiEpochsDataLoader
5 years ago
64fe37d008
Remove old mean/std helper, rely fully on cmd line or default_cfg now. Fixes #126
5 years ago
670c61b28f
Some cutmix/mixup cleanup/fixes
5 years ago
b3cb5f3275
Working on CutMix impl as per #8 , integrating with Mixup, currently experimenting...
5 years ago
d66819d1f3
Indentation mistake. Fixes #81
5 years ago
1daa303744
Add support to Dataset for class id mapping file, clean up a bit of old logic. Add results file arg for validation and update script.
5 years ago
d9a6a9d0af
Merge pull request #74 from rwightman/augmix-jsd
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AugMix, JSD loss, SplitBatchNorm (Auxiliary BN), and more
5 years ago
3eb4a96eda
Update AugMix, JSD, etc comments and references
5 years ago
7547119891
Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together
5 years ago
2e955cfd0c
Update RandomErasing with some improved arg names, tweak to aspect range
5 years ago
3cc0f91e23
Fix augmix variable name scope overlap, default non-blended mode
5 years ago
4666cc9aed
Add --pin-mem arg to enable dataloader pin_memory (showing more benefit in some scenarios now), also add --torchscript arg to validate.py for testing models with jit.script
5 years ago
3afc2a4dc0
Some cleanup/improvements to AugMix impl:
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* make 'increasing' levels for Contrast, Color, Brightness, Saturation ops
* remove recursion from faster blending mix
* add config striing parsing for AugMix
5 years ago
232ab7fb12
Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
5 years ago
0161de0127
Switch RandoErasing back to on GPU normal sampling
5 years ago
31453b039e
Update Auto/RandAugment comments, README, more.
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* Add a weighted choice option for RandAugment
* Adjust magnitude noise/std naming, config
5 years ago
4243f076f1
Adding RandAugment to AutoAugment impl, some tweaks to AA included
5 years ago
4002c0d4ce
Fix AutoAugment abs translate calc
5 years ago
c06274e5a2
Add note on random selection of magnitude value
5 years ago
b750b76f67
More AutoAugment work. Ready to roll...
5 years ago
25d2088d9e
Working on auto-augment
5 years ago
f37e633e9b
Merge remote-tracking branch 'origin/re-exp' into opt
5 years ago
daeaa113e2
Add initial sotabench attempt. Split create_transform out of create_loader. Update requirements.txt
5 years ago
66634d2200
Add support to split random erasing blocks into randomly selected number with --recount arg. Fix random selection of aspect ratios.
5 years ago
6946281fde
Experimenting with random erasing changes
5 years ago
dfa9298b4e
Add MixNet ( https://arxiv.org/abs/1907.09595 ) with pretrained weights converted from Tensorflow impl
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* refactor 'same' convolution and add helper to use MixedConv2d when needed
* improve performance of 'same' padding for cases that can be handled statically
* add support for extra exp, pw, and dw kernel specs with grouping support to decoder/string defs for MixNet
* shuffle some args for a bit more consistency, a little less clutter overall in gen_efficientnet.py
5 years ago
Ross Wightman