pytorch-image-models

Author	SHA1	Message	Date
Ross Wightman	b1f1a54de9	More uniform treatment of classifiers across all models, reduce code duplication.	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
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
Ross Wightman	13746a33fc	Big move, layer modules and fn to timm/models/layers	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	171c0b88b6	Add model registry and model listing fns, refactor model_factory/create_model fn	5 years ago
Ross Wightman	87b92c528e	Some pretrianed URL changes * host some of Cadene's weights on github instead of .fr for speed * add my old port of ensemble adversarial inception resnet v2 * switch to my TF port of normal inception res v2 and change FC layer back to 'classif' for compat with ens_adv	5 years ago
Ross Wightman	6cc214bd7a	Consistency in model entrypoints * move pretrained entrypoint arg to first pos to be closer to torchvision/hub * change DPN weight URLS to my github location	5 years ago
Ross Wightman	aa4354f466	Big re-org, working towards making pip/module as 'timm'	5 years ago