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534 Commits (cd23f553974f0cda6b07761ba2d4a88e82236966)
 

Author SHA1 Message Date
Ross Wightman 3b6cce4c95 Add initial impl of CrossStagePartial networks, yet to be trained, not quite the same as darknet cfgs.
4 years ago
Ross Wightman 3aebc2f06c Switch DPN to use BnAct layer, train a new DPN 68b model with RA to 79.21
4 years ago
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
4 years ago
Ross Wightman 0d5550c1e2
Merge pull request #183 from KushajveerSingh/results_diff
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:
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
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
4 years ago
Ross Wightman 13c0a6290e Add ESE-VovNet39 weights, 79.32 top-1
4 years ago
Ross Wightman 4ddde1d3a4 Fix two regressions
4 years ago
Ross Wightman a7e8cadd15 Remove pointless densenet configs, add an iabn version of 264 as it makes more sense to try someday...
4 years ago
Ross Wightman e78daf586a better densenet121 and densenetblur121d weights
4 years ago
Ross Wightman 7be299504f Add missing feature_info() on MobileNetV3, make hook feature output order/type consistent with bottleneck (list, decreasing fmap size)
4 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.
4 years ago
Ross Wightman f28170df3f Fix an an untested change, remove a debug print
4 years ago
Ross Wightman eb7653614f Monster commit, activation refactor, VoVNet, norm_act improvements, more
4 years ago
Ross Wightman ff94ffce61 Merge branch 'master' into densenet_update_and_more
4 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
4 years ago
Ross Wightman 0ea53cecc3 Merge branch 'master' into densenet_update_and_more
4 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.
4 years ago
Ross Wightman d79ac48626 Update sotabench.py
4 years ago
Ross Wightman e881383b4e
Merge pull request #154 from rwightman/tests_bugfixes
4 years ago
Ross Wightman 4d13db538f Add x48d ResNext101s to test exclude for ubuntu
4 years ago
Ross Wightman 4212cd3b9f Another attempt at getting Ubuntu test runner to work
4 years ago
Ross Wightman 20329f2630 Bring down test resolutions to see if we can at least do a fwd on the L2 models
4 years ago
Ross Wightman 3873ea710e Minor test change
4 years ago
Ross Wightman afb6bd0669 Add backward and default_cfg tests and fix a few issues found. Fix #153
4 years ago
Ross Wightman ea2e59ca36
Merge pull request #150 from rwightman/regnet
4 years ago
Ross Wightman 50658b9a67 Add RegNet models and weights
4 years ago
Ross Wightman 7df83258c9 Merge branch 'master' into densenet_update_and_more
4 years ago