Ross Wightman
17f4dd2778
Merge branch 'michalwols-docs'
4 years ago
Ross Wightman
022130d229
Merge branch 'docs' of https://github.com/michalwols/pytorch-image-models into michalwols-docs
4 years ago
Ross Wightman
31cf1251c1
Update setup.py
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Exclude results from possible packaging as it has .py now
4 years ago
Ross Wightman
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
4 years ago
KushajveerSingh
5699e8429f
set precision=2 in param_count
4 years ago
KushajveerSingh
6526ccb4a7
set precision=3 in results
4 years ago
KushajveerSingh
856f6181f7
add {rank,top1,top5}_diff in results
4 years ago
Ross Wightman
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
4 years ago
michal
2608918e8d
configure mkdocs based documentation
4 years ago
Ross Wightman
a66df5fb91
More model feature extraction support, start to deprecate senet.py, dilations added to regnet, add proper aligned xception
4 years ago
Ross Wightman
7729f40dca
Fix another bug, update all gluon resnet models to use new creation method (feature support)
4 years ago
Ross Wightman
d72ac0db25
Fix #173 , lr cycle default 0 vs 1. Fix #177 , mirror resnest weights for future stability.
4 years ago
Ross Wightman
d0113f9cdb
Fix a few issues that came up in tests
4 years ago
Ross Wightman
d23a2697d0
Working on feature extraction, interfaces refined, a number of models working, some in progress.
4 years ago
Ross Wightman
24e7535278
Remove tests from distrib
4 years ago
Ross Wightman
328339a086
Add ESE-VoVNet-19-DW weights
4 years ago
Ross Wightman
2d83752bc2
Fix default interpolation/crop of largest 2 ResNeSt models
4 years ago
Ross Wightman
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.
4 years ago
Ross Wightman
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
4 years ago
Ross Wightman
39f27c1add
Almost ready to merge, vovnet typo, version bump, readme addition
4 years ago
Ross Wightman
151679c2f1
Add custom grad tests, fix cut & paste error with hard_mish ME, add a few more pytorch act fns to factory
4 years ago
Ross Wightman
6c7932fe75
Update sotabench.py, tweak VovNet cfg
4 years ago
Ross Wightman
d3ee3de96a
Update validation script first batch prime and clear cuda cache between multi-model runs
4 years ago
Ross Wightman
0aca08384f
Update regnet cfg keys to match model names so registry works properly
4 years ago
Ross Wightman
b41b8d0108
Update results csv files
4 years ago
Antoine Broyelle
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
4 years ago
Ross Wightman
13c0a6290e
Add ESE-VovNet39 weights, 79.32 top-1
5 years ago
Ross Wightman
4ddde1d3a4
Fix two regressions
5 years ago
Ross Wightman
a7e8cadd15
Remove pointless densenet configs, add an iabn version of 264 as it makes more sense to try someday...
5 years ago
Ross Wightman
e78daf586a
better densenet121 and densenetblur121d weights
5 years ago
Ross Wightman
7be299504f
Add missing feature_info() on MobileNetV3, make hook feature output order/type consistent with bottleneck (list, decreasing fmap size)
5 years ago
Ross Wightman
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.
5 years ago
Ross Wightman
f28170df3f
Fix an an untested change, remove a debug print
5 years ago
Ross Wightman
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
5 years ago
Ross Wightman
ff94ffce61
Merge branch 'master' into densenet_update_and_more
5 years ago
Ross Wightman
5966654052
Update requirements so PyTorch 1.4 is min, add separate sotabench reqs to force 1.4 and prevent error with 1.5
5 years ago
Ross Wightman
0ea53cecc3
Merge branch 'master' into densenet_update_and_more
5 years ago
Ross Wightman
6441e9cc1b
Fix memory_efficient mode for DenseNets. Add AntiAliasing (Blur) support for DenseNets and create one test model. Add lr cycle/mul params to train args.
5 years ago
Ross Wightman
d79ac48626
Update sotabench.py
5 years ago
Ross Wightman
e881383b4e
Merge pull request #154 from rwightman/tests_bugfixes
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Add backward and default_cfg tests and fix a few issues found. Fix #153
5 years ago
Ross Wightman
4d13db538f
Add x48d ResNext101s to test exclude for ubuntu
5 years ago
Ross Wightman
4212cd3b9f
Another attempt at getting Ubuntu test runner to work
5 years ago
Ross Wightman
20329f2630
Bring down test resolutions to see if we can at least do a fwd on the L2 models
5 years ago
Ross Wightman
3873ea710e
Minor test change
5 years ago
Ross Wightman
afb6bd0669
Add backward and default_cfg tests and fix a few issues found. Fix #153
5 years ago
Ross Wightman
ea2e59ca36
Merge pull request #150 from rwightman/regnet
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Add RegNet models and weights
5 years ago
Ross Wightman
50658b9a67
Add RegNet models and weights
5 years ago
Ross Wightman
7df83258c9
Merge branch 'master' into densenet_update_and_more
5 years ago
Ross Wightman
dab9935b36
Merge pull request #148 from rwightman/drop_block_improve
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Improve dropblock impl, add fast variant, better AMP speed, inplace…
5 years ago
Ross Wightman
1904ed8fec
Improve dropblock impl, add fast variant, and better AMP speed, inplace, batchwise... few ResNeSt cleanups
5 years ago