1005 Commits (392368e210d0dfbe4135e59df203b9d30d39bd61)

 

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Author	SHA1	Message	Date
Ross Wightman	14ef7a0dd6	Rename csp.py -> cspnet.py	4 years ago
Ross Wightman	ec37008432	Add pretrained weight links to CSPNet for cspdarknet53, cspresnext50	4 years ago
Sangdoo Yun	e93e571f7a	Add `adamp` and 'sgdp' optimizers. ... Update requirements.txt Update optim_factory.py Add `adamp` optimizer Update __init__.py copy files of adamp & sgdp Create adamp.py Update __init__.py Create sgdp.py Update optim_factory.py Update optim_factory.py Update requirements.txt Update adamp.py Update sgdp.py Update sgdp.py Update adamp.py	4 years ago
Ross Wightman	0915beddad	Add autosquash workflow	4 years ago
Ross Wightman	08016e839d	Cleanup FeatureInfo getters, add TF models sourced Xception41/65/71 weights	4 years ago
Ross Wightman	7ba5a384d3	Add ReXNet w/ remapped weights, feature support	4 years ago
Ross Wightman	c9d54bc1c3	Add HRNet feature extraction, fix senet type, lower feature testing res to 96x96	4 years ago
Ross Wightman	2ac663f340	Add feature support to legacy senets, add 32x32 resnext models to exclude list for feature testing.	4 years ago
Ross Wightman	701dba303e	Again	4 years ago
Ross Wightman	648ba41b4b	Try again with the worfklow threads	4 years ago
Ross Wightman	52b6e72e86	Try defining num threads for github workflow tests explicity (2)	4 years ago
Ross Wightman	c146b54abc	Cleanup EfficientNet/MobileNetV3 feature extraction a bit, only two tap locations now, small mobilenetv3 models work	4 years ago
Ross Wightman	68fd8a267b	Merge branch 'master' into features	4 years ago
Ross Wightman	4e61c6a12d	Cleanup, refactoring of Feature extraction code, add tests, fix tests, non hook feature extraction working with torchscript	4 years ago
Ross Wightman	6eec3fb4a4	Move FeatureHooks into features.py, switch EfficientNet, MobileNetV3 to use build model helper	4 years ago
Ross Wightman	9eba134d79	More models supporting feature extraction, xception, gluon_xception, inception_v3, inception_v4, pnasnet, nasnet, dla. Fix DLA unused projection params.	4 years ago
Ross Wightman	298fba09ac	Back out some activation hacks trialing upcoming pytorch changes	4 years ago
Ross Wightman	3b9004bef9	Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces	4 years ago
Ross Wightman	e2cc481310	Update CSP ResNets for cross expansion without activation. Fix VovNet IABN compatibility with fixed activation arg.	4 years ago
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 ... Exclude results from possible packaging as it has .py now	4 years ago
Ross Wightman	0d5550c1e2	Merge pull request #183 from KushajveerSingh/results_diff ... 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: ... * 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 ... DenseNet updates, EvoNorms, VovNet, activation factory and more. Includes PR #142	5 years ago
Ross Wightman	39f27c1add	Almost ready to merge, vovnet typo, version bump, readme addition	5 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	5 years ago
Ross Wightman	6c7932fe75	Update sotabench.py, tweak VovNet cfg	5 years ago
Ross Wightman	d3ee3de96a	Update validation script first batch prime and clear cuda cache between multi-model runs	5 years ago
Ross Wightman	0aca08384f	Update regnet cfg keys to match model names so registry works properly	5 years ago
Ross Wightman	b41b8d0108	Update results csv files	5 years ago
Antoine Broyelle	78fa0772cc	Leverage python hierachical logger ... with this update one can tune the kind of logs generated by timm but training and inference traces are unchanged	5 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