2ac663f340
Add feature support to legacy senets, add 32x32 resnext models to exclude list for feature testing.
2020-07-21 11:15:30 -07:00
701dba303e
Again
2020-07-21 08:53:51 -07:00
648ba41b4b
Try again with the worfklow threads
2020-07-21 08:52:56 -07:00
52b6e72e86
Try defining num threads for github workflow tests explicity (2)
2020-07-21 08:49:11 -07:00
c146b54abc
Cleanup EfficientNet/MobileNetV3 feature extraction a bit, only two tap locations now, small mobilenetv3 models work
2020-07-21 01:21:38 -07:00
68fd8a267b
Merge branch 'master' into features
2020-07-20 16:11:38 -07:00
4e61c6a12d
Cleanup, refactoring of Feature extraction code, add tests, fix tests, non hook feature extraction working with torchscript
2020-07-20 16:10:31 -07:00
6eec3fb4a4
Move FeatureHooks into features.py, switch EfficientNet, MobileNetV3 to use build model helper
2020-07-19 15:00:43 -07:00
9eba134d79
More models supporting feature extraction, xception, gluon_xception, inception_v3, inception_v4, pnasnet, nasnet, dla. Fix DLA unused projection params.
2020-07-19 14:02:02 -07:00
298fba09ac
Back out some activation hacks trialing upcoming pytorch changes
2020-07-17 18:41:37 -07:00
3b9004bef9
Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces
2020-07-17 17:54:26 -07:00
e2cc481310
Update CSP ResNets for cross expansion without activation. Fix VovNet IABN compatibility with fixed activation arg.
2020-07-13 16:24:55 -07:00
3b6cce4c95
Add initial impl of CrossStagePartial networks, yet to be trained, not quite the same as darknet cfgs.
2020-07-13 15:01:06 -07:00
3aebc2f06c
Switch DPN to use BnAct layer, train a new DPN 68b model with RA to 79.21
2020-07-12 11:13:06 -07:00
17f4dd2778
Merge branch 'michalwols-docs'
2020-07-10 12:39:20 -07:00
022130d229
Merge branch 'docs' of https://github.com/michalwols/pytorch-image-models into michalwols-docs
2020-07-10 12:05:59 -07:00
31cf1251c1
Update setup.py
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Exclude results from possible packaging as it has .py now
2020-07-09 09:42:36 -07:00
0d5550c1e2
Merge pull request #183 from KushajveerSingh/results_diff
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Add rank difference, and top-1/top-5 difference from ImageNet-1k validation for the 3 additional test sets
2020-07-09 09:41:38 -07:00
5699e8429f
set precision=2 in param_count
2020-07-09 16:43:11 +05:30
6526ccb4a7
set precision=3 in results
2020-07-09 16:38:49 +05:30
856f6181f7
add {rank,top1,top5}_diff in results
2020-07-09 03:48:26 +05:30
f122f0274b
Significant ResNet refactor:
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* stage creation + make_layer moved to separate fn with more sensible dilation/output_stride calc
* drop path rate decay easy to impl with refactored block creation loops
* fix dilation + blur pool combo
2020-07-05 00:48:12 -07:00
2608918e8d
configure mkdocs based documentation
2020-07-03 19:54:17 -04:00
a66df5fb91
More model feature extraction support, start to deprecate senet.py, dilations added to regnet, add proper aligned xception
2020-07-03 00:41:30 -07:00
7729f40dca
Fix another bug, update all gluon resnet models to use new creation method (feature support)
2020-06-30 16:44:15 -07:00
d72ac0db25
Fix #173 , lr cycle default 0 vs 1. Fix #177 , mirror resnest weights for future stability.
2020-06-29 21:31:48 -07:00
d0113f9cdb
Fix a few issues that came up in tests
2020-06-29 21:13:21 -07:00
d23a2697d0
Working on feature extraction, interfaces refined, a number of models working, some in progress.
2020-06-29 18:18:59 -07:00
24e7535278
Remove tests from distrib
2020-06-16 22:57:26 -07:00
328339a086
Add ESE-VoVNet-19-DW weights
2020-06-15 14:31:55 -07:00
2d83752bc2
Fix default interpolation/crop of largest 2 ResNeSt models
2020-06-12 16:42:47 -07:00
f225ae8e59
Update README with model results and attribution. Make scheduler factory bit more robust to arg differences, add noise to plateau lr and fix min/max.
2020-06-12 13:33:12 -07:00
d1b5dddad1
Merge pull request #155 from rwightman/densenet_update_and_more
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DenseNet updates, EvoNorms, VovNet, activation factory and more. Includes PR #142
2020-06-11 17:01:19 -07:00
39f27c1add
Almost ready to merge, vovnet typo, version bump, readme addition
2020-06-11 15:41:58 -07:00
151679c2f1
Add custom grad tests, fix cut & paste error with hard_mish ME, add a few more pytorch act fns to factory
2020-06-11 14:49:23 -07:00
6c7932fe75
Update sotabench.py, tweak VovNet cfg
2020-06-11 14:34:25 -07:00
d3ee3de96a
Update validation script first batch prime and clear cuda cache between multi-model runs
2020-06-11 13:34:21 -07:00
0aca08384f
Update regnet cfg keys to match model names so registry works properly
2020-06-09 14:37:45 -07:00
b41b8d0108
Update results csv files
2020-06-09 14:36:24 -07:00
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
13c0a6290e
Add ESE-VovNet39 weights, 79.32 top-1
2020-06-06 22:50:21 -07:00
4ddde1d3a4
Fix two regressions
2020-06-05 11:04:51 -07:00
a7e8cadd15
Remove pointless densenet configs, add an iabn version of 264 as it makes more sense to try someday...
2020-06-03 17:13:52 -07:00
e78daf586a
better densenet121 and densenetblur121d weights
2020-06-03 13:30:03 -07:00
7be299504f
Add missing feature_info() on MobileNetV3, make hook feature output order/type consistent with bottleneck (list, decreasing fmap size)
2020-06-03 00:00:37 -07:00
88129b2569
Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit.
2020-06-02 21:06:10 -07:00
f28170df3f
Fix an an untested change, remove a debug print
2020-06-01 17:26:42 -07:00
eb7653614f
Monster commit, activation refactor, VoVNet, norm_act improvements, more
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* refactor activations into basic PyTorch, jit scripted, and memory efficient custom auto
* implement hard-mish, better grad for hard-swish
* add initial VovNet V1/V2 impl, fix #151
* VovNet and DenseNet first models to use NormAct layers (support BatchNormAct2d, EvoNorm, InplaceIABN)
* Wrap IABN for any models that use it
* make more models torchscript compatible (DPN, PNasNet, Res2Net, SelecSLS) and add tests
2020-06-01 17:16:52 -07:00
ff94ffce61
Merge branch 'master' into densenet_update_and_more
2020-05-26 00:02:57 -07:00
5966654052
Update requirements so PyTorch 1.4 is min, add separate sotabench reqs to force 1.4 and prevent error with 1.5
2020-05-24 13:28:03 -07:00
Ross Wightman
Ross Wightman
KushajveerSingh
michal
Antoine Broyelle