595 Commits (v0.1-vitjx)

 

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Author	SHA1	Message	Date
Ross Wightman	0834fbc01c	Move pruned model adapt strings to separate txt files. A few minor formatting alignment tweaks.	5 years ago
Ross Wightman	ba793f5c1c	Merge branch 'adding_ECA_resnet' of https://github.com/yoniaflalo/pytorch-image-models into yoniaflalo-adding_ECA_resnet	5 years ago
AFLALO, Jonathan Isaac	07f19dd699	added eca resnet	5 years ago
Ross Wightman	1d4ac1b165	Bump version for pypi release. Fix #130	5 years ago
Ross Wightman	be7c784d21	Small TResNet simplification, just use SelectAdaptivePool, don't notice any perf difference	5 years ago
Ross Wightman	e3a98171b2	Remove some CRLF that made it into TResNet merge	5 years ago
Ross Wightman	0004f37d25	Some TResNet cleanup. ... * allow use of global pool arg, test-time-pooling * clean checkpoints to just contain state dict, add 448 res checkpoints * support DataParallel via lazy filter creation for JIT Downsample * some minor formatting (mostly alignment) preferences	5 years ago
Ross Wightman	64fe37d008	Remove old mean/std helper, rely fully on cmd line or default_cfg now. Fixes #126	5 years ago
Ross Wightman	02a30411ad	Replace fp16 with amp support for validate.py script	5 years ago
Ross Wightman	e6f24e5578	Add 'momentum' optimizer (SGD w/o nesterov) for stable EfficientDet training defaults	5 years ago
Sepehr Sameni	20290b5b56	fix typo in eca	5 years ago
Ross Wightman	ebf82b84ac	Merge pull request #122 from mrT23/master ... TResNet models	5 years ago
Ross Wightman	e15f979457	Merge pull request #123 from aclex/mobilenetv3_fix_feature_extraction ... Merge changes in feature extraction interface to MobileNetV3	5 years ago
Alexey Chernov	bdb165a8a4	Merge changes in feature extraction interface to MobileNetV3 ... Experimental feature extraction interface seems to be changed a little bit with the most up to date version apparently found in EfficientNet class. Here these changes are added to MobileNetV3 class to make it support it and work again, too.	5 years ago
talrid	1c92755bb6	Merge branch 'master' of https://github.com/mrT23/pytorch-image-models	5 years ago
talrid	011a11d987	TResNet models	5 years ago
talrid	8a63c1add8	finalizing	5 years ago
talrid	6209146738	TResNet models	5 years ago
mrT23	98a7403ed4	Merge pull request #1 from rwightman/master ... merge master	5 years ago
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