474 Commits (17f4dd277895692c2a1756847372883a29e5cbd0)

 

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Author	SHA1	Message	Date
Ross Wightman	13cf68850b	Remove poorly named metrics from torch imagenet example origins. Use top1/top5 in csv output for consistency with existing validation results files, acc elsewhere. Fixes #111	5 years ago
Ross Wightman	56608c9070	Bump version for pypi	5 years ago
Ross Wightman	0ebcd2eca1	No default img size for inference script. Fixes #109	5 years ago
Ross Wightman	1a8f5900ab	Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.	5 years ago
Ross Wightman	e01ccb88ce	Merge pull request #117 from VRandme/typo_eca ... minor PR to fix typos found in #116 and resnet.py	5 years ago
Chris Ha	06a50a94a8	Fix minor typos in create_attn.py and resnet.py ... 'eca'->'ceca' and doest not-> does not	5 years ago
Ross Wightman	1a9ab07307	One too many changes at a time, fix missing C	5 years ago
Ross Wightman	f17b42bc33	Blur filter no longer a buffer	5 years ago
Ross Wightman	6cdeca24a3	Some cleanup and fixes for initial BlurPool impl. Still some testing and tweaks to go...	5 years ago
Chris Ha	acd1b6cccd	Implement Functional Blur on resnet.py ... 1. add ResNet argument blur='' 2. implement blur for maxpool and strided convs in downsampling blocks	5 years ago
Chris Ha	ce3d82b58b	Update blurpool.py ... clean up code for PR	5 years ago
Chris Ha	3a287a6e76	Create blurpool.py ... Initial implementation of blur layer. currently tests as correct against Downsample of original github	5 years ago
Ross Wightman	c99a5abed4	Merge pull request #115 from rwightman/mobilenetv2-experiment ... MobileNet-V2 experiments	5 years ago
Ross Wightman	e34074b4da	Add final weights for MobileNet-V2 experiments	5 years ago
Ross Wightman	a6a5565de7	Fiddling...	5 years ago
Ross Wightman	5a16c533ff	Add better resnext50_32x4d weights trained by andravin	5 years ago
Ross Wightman	bc998cad91	Experimenting with some MobileNetV2 variations to compare against EfficientNet-Lite	5 years ago
Ross Wightman	71b5cd67da	Merge pull request #105 from rwightman/efficientnet-lite ... EfficientNet-Lite	5 years ago
Ross Wightman	ef30e7f2b6	Update sotabench with EffNet Lite models	5 years ago
Ross Wightman	3406e582cf	Add EfficientNet-Lite results, update README	5 years ago
Ross Wightman	bd05258f7b	EfficientNet-Lite model added w/ converted checkpoints, validation in progress...	5 years ago
Ross Wightman	7deacf5477	Merge pull request #99 from andravin/save-last ... Modified save_checkpoint to always save last checkpoint. Fixes #98.	5 years ago
Andrew Lavin	d92cc4da54	Modified save_checkpoint to always save last checkpoint. Fixes #98.	5 years ago
Ross Wightman	56e2ac3a6d	Merge pull request #94 from rwightman/lr_noise ... Learning rate noise, MobileNetV3 weights, and activate MobileNetV3/EfficientNet weight init change	5 years ago
Ross Wightman	c16f25ced2	Add MobileNetV3 Large weights, results, update README and sotabench for merge	5 years ago
Ross Wightman	c60069c1eb	Annotate types on drop fns to avoid torchscript error	5 years ago
Ross Wightman	9fee316752	Enable fixed fanout calc in EfficientNet/MobileNetV3 weight init by default. Fix #84	5 years ago
Ross Wightman	27b3680d49	Revamp LR noise, move logic to scheduler base. Fixup PlateauLRScheduler and add it as an option.	5 years ago
Ross Wightman	cc5a11abba	version bump for PyPi update	5 years ago
Ross Wightman	514b0938c4	Experimenting with per-epoch learning rate noise w/ step scheduler	5 years ago
Ross Wightman	d77f45a6f6	Forgot to add skresnet34 to sotabench	5 years ago
Ross Wightman	6620770665	Simpler approach to loading entrypoints in hubconf works properly	5 years ago
Ross Wightman	e0685dd415	Merge pull request #88 from rwightman/attention ... A lot of attention and much more	5 years ago
Ross Wightman	f1860ef3a5	Update README.md, check in hubconf experiment (fully dynamic)	5 years ago
Ross Wightman	43225d110c	Unify drop connect vs drop path under 'drop path' name, switch all EfficientNet/MobilenetV3 refs to 'drop_path'. Update factory to handle new drop args.	5 years ago
Ross Wightman	f1d5f8a6c4	Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights	5 years ago
Ross Wightman	569419b38d	Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch	5 years ago
Ross Wightman	91e2b33d72	Update results with latest NoisyStudent models and SelectiveKernel models	5 years ago
Ross Wightman	53c47479c4	Batch validation batch size adjustment, tweak L2 crop pct	5 years ago
Ross Wightman	08553e16b3	Merge branch 'master' into attention	5 years ago
Ross Wightman	fa38f24967	Update SK network configs, add weights for skresnet8 and skresnext50	5 years ago
Ross Wightman	f098fda2ca	Add map_location='cpu' to ModelEma resume, should improve #72	5 years ago
Ross Wightman	b9496995d8	Add L2-475 PyTorch preprocessing result, update sotabench for new weights	5 years ago
Ross Wightman	ba15ca47e8	Add ported EfficientNet-L2, B0-B7 NoisyStudent weights from TF TPU	5 years ago
Ross Wightman	5e6dbbaf30	Add CBAM for experimentation	5 years ago
Ross Wightman	d725991870	Remove debug print from ECA module	5 years ago
Ross Wightman	2a7d256fd5	Re-enable mem-efficient/jit activations after torchscript tests	5 years ago
Ross Wightman	f902bcd54c	Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases ... * select_conv2d -> create_conv2d * added create_attn to create attention module from string/bool/module * factor padding helpers into own file, use in both conv2d_same and avg_pool2d_same * add some more test eca resnet variants * minor tweaks, naming, comments, consistency	5 years ago
Ross Wightman	a99ec4e7d1	A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility.	5 years ago
Ross Wightman	13746a33fc	Big move, layer modules and fn to timm/models/layers	5 years ago