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
2020-06-09 18:28:48 +01:00
a7f570c9b7
added MultiEpochsDataLoader
2020-05-05 14:47:02 +03:00
64fe37d008
Remove old mean/std helper, rely fully on cmd line or default_cfg now. Fixes #126
2020-04-27 12:32:55 -07:00
670c61b28f
Some cutmix/mixup cleanup/fixes
2020-02-17 11:00:54 -08:00
b3cb5f3275
Working on CutMix impl as per #8 , integrating with Mixup, currently experimenting...
2020-02-16 20:09:11 -08:00
d66819d1f3
Indentation mistake. Fixes #81
2020-02-04 22:56:00 -08:00
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.
2020-02-01 18:07:32 -08:00
d9a6a9d0af
Merge pull request #74 from rwightman/augmix-jsd
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AugMix, JSD loss, SplitBatchNorm (Auxiliary BN), and more
2020-01-11 12:04:29 -08:00
3eb4a96eda
Update AugMix, JSD, etc comments and references
2020-01-11 12:02:05 -08:00
7547119891
Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together
2020-01-05 19:58:59 -08:00
2e955cfd0c
Update RandomErasing with some improved arg names, tweak to aspect range
2020-01-05 14:31:48 -08:00
3cc0f91e23
Fix augmix variable name scope overlap, default non-blended mode
2020-01-05 14:27:27 -08:00
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
2020-01-02 16:22:06 -08:00
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
2019-12-20 23:04:11 -08:00
232ab7fb12
Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
2019-12-20 23:04:11 -08:00
0161de0127
Switch RandoErasing back to on GPU normal sampling
2019-12-05 22:35:08 -08:00
31453b039e
Update Auto/RandAugment comments, README, more.
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* Add a weighted choice option for RandAugment
* Adjust magnitude noise/std naming, config
2019-11-22 13:24:52 -08:00
4243f076f1
Adding RandAugment to AutoAugment impl, some tweaks to AA included
2019-11-21 21:14:33 -08:00
4002c0d4ce
Fix AutoAugment abs translate calc
2019-09-01 22:07:45 -07:00
c06274e5a2
Add note on random selection of magnitude value
2019-09-01 20:32:26 -07:00
b750b76f67
More AutoAugment work. Ready to roll...
2019-09-01 16:55:42 -07:00
25d2088d9e
Working on auto-augment
2019-08-31 23:09:48 -07:00
f37e633e9b
Merge remote-tracking branch 'origin/re-exp' into opt
2019-08-26 14:29:23 -07:00
daeaa113e2
Add initial sotabench attempt. Split create_transform out of create_loader. Update requirements.txt
2019-08-12 23:06:19 -07:00
66634d2200
Add support to split random erasing blocks into randomly selected number with --recount arg. Fix random selection of aspect ratios.
2019-08-12 16:01:58 -07:00
6946281fde
Experimenting with random erasing changes
2019-08-12 16:01:58 -07:00
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
2019-07-25 11:42:01 -07:00
7a92caa560
Add basic image folder style dataset to read directly out of tar files, example in validate.py
2019-07-25 10:51:03 -07:00
6cdf35e670
Add explicit half/fp16 support to loader and validation script
2019-07-05 13:52:25 -07:00
65a634626f
Switch random erasing to doing normal_() on CPU to avoid instability, remove a debug print
2019-06-29 10:03:13 -07:00
c6b32cbe73
A number of tweaks to arguments, epoch handling, config
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* reorganize train args
* allow resolve_data_config to be used with dict args, not just arparse
* stop incrementing epoch before save, more consistent naming vs csv, etc
* update resume and start epoch handling to match above
* stop auto-incrementing epoch in scheduler
2019-06-28 13:49:20 -07:00
6fc886acaf
Remove all prints, change most to logging calls, tweak alignment of batch logs, improve setup.py
2019-06-20 17:29:25 -07:00
aa4354f466
Big re-org, working towards making pip/module as 'timm'
2019-06-19 17:20:51 -07:00
Antoine Broyelle
AFLALO, Jonathan Isaac
Ross Wightman
Ross Wightman