42 Commits (288682796f4a18760f1276dd2d184f297fdf5182)

Author	SHA1	Message	Date
Ross Wightman	5e2e4e7fb6	Merge pull request #502 from khatami-mehrdad/efficientnet_dg ... adding efficientnet_el, efficientnet_es_pruned and efficientnet_el_pruned pre-trained models	4 years ago
Mehrdad	97f49d163c	adding efficientnet_el, efficientnet_es_prunedefficientnet_es_pruned and efficientnet_el_pruned pretrained models to timm/models	4 years ago
Ross Wightman	d584e7f617	Support for huggingface hub via create_model and default_cfgs. ... * improve consistency of model creation helper fns * add comments to some of the model helpers * support passing external default_cfgs so they can be sourced from hub	4 years ago
Ross Wightman	cd72e66eff	Bug in last mod for features_only default_cfg	4 years ago
Ross Wightman	867a0e5a04	Add default_cfg back to models wrapped in feature extraction module as per discussion in #294.	4 years ago
Ross Wightman	9c406532bd	Add EfficientNet-EdgeTPU-M (efficientnet_em) model trained natively in PyTorch. More sotabench fiddling.	4 years ago
Ross Wightman	512b2dd645	Add new EfficientNet-B3 and RegNetY-3.2GF weights, both just over 82 top-1	4 years ago
Ross Wightman	b1f1a54de9	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
Ross Wightman	ec4976fdba	Add EfficientNet-Lite0 weights trained with this code by @hal-314, 75.484 top-1	4 years ago
Ross Wightman	6c17d57a2c	Fix some attributions, add copyrights to some file docstrings	4 years ago
Ross Wightman	08016e839d	Cleanup FeatureInfo getters, add TF models sourced Xception41/65/71 weights	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	6eec3fb4a4	Move FeatureHooks into features.py, switch EfficientNet, MobileNetV3 to use build model helper	4 years ago
Ross Wightman	3b9004bef9	Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces	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	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	eb7653614f	Monster commit, activation refactor, VoVNet, norm_act improvements, more ... * 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
Vyacheslav Shults	a7ebe09029	Replace all None by nn.Identity() in all models reset_classifier when False-values num_classes is given. ... Make small code refactoring	5 years ago
AFLALO, Jonathan Isaac	9c15d57505	added efficientnet pruned weights	5 years ago
Ross Wightman	1a8f5900ab	Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.	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	bc998cad91	Experimenting with some MobileNetV2 variations to compare against EfficientNet-Lite	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	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	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	ba15ca47e8	Add ported EfficientNet-L2, B0-B7 NoisyStudent weights from TF TPU	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
Ross Wightman	5c4991a088	Add PyTorch trained EfficientNet-ES weights from Andrew Lavin	5 years ago
Ross Wightman	91534522f9	Add newly added TF ported EfficientNet-B8 weights (RandAugment)	5 years ago
Ross Wightman	ec0dd4053a	Add updated RandAugment trained EfficientNet-B0 trained weights from @michaelklachko	5 years ago
Ross Wightman	acc3ed2b8c	Add EfficientNet-B3 weights, trained from scratch with RA.	5 years ago
Ross Wightman	73b78459dc	Add update RandAugment MixNet-XL weights	5 years ago
Ross Wightman	ff421e5e09	New PyTorch trained EfficientNet-B2 weights with my RandAugment impl	5 years ago
Ross Wightman	3bef524f9c	Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.	5 years ago
Ross Wightman	6ca0828166	Update EfficientNet comments, MobileNetV3 non-TF create fns, fix factory arg checks, bump PyTorch version req to 1.2	5 years ago
Ross Wightman	eccbadca74	Update EfficientNet comments	5 years ago
Ross Wightman	902d32fb16	Renamed gen_efficientnet.py -> efficientnet.py	5 years ago