9 Commits (780c0a96a41018b02872dea5f658e86d456c1916)

Author	SHA1	Message	Date
Ross Wightman	76539d905e	Some transform/data/loader refactoring, hopefully didn't break things ... * factor out data related constants to own file * move data related config helpers to own file * add a variant of RandomResizeCrop that randomizes interpolation method * remove old Numpy version of RandomErasing * cleanup torch version of RandomErasing and use it in either GPU loader batch mode or single image cpu Transform	5 years ago
Ross Wightman	c88e80081d	Fix missing cfg key check	5 years ago
Ross Wightman	9e296dbffb	Add seresnet26_32x4d cfg and weights + interpolation str->PIL enum fn	5 years ago
Ross Wightman	6e9697eb9c	Fix small bug in seresnet input size and eval transform handling of img size	5 years ago
Ross Wightman	0562b91c38	Add per model crop pct, interpolation defaults, tie it all together ... * create one resolve fn to pull together model defaults + cmd line args * update attribution comments in some models * test update train/validation/inference scripts	5 years ago
Ross Wightman	9c3859fb9c	Uniform pretrained model handling. ... * All models have 'default_cfgs' dict * load/resume/pretrained helpers factored out * pretrained load operates on state_dict based on default_cfg * test all models in validate * schedule, optim factor factored out * test time pool wrapper applied based on default_cfg	5 years ago
Ross Wightman	c0e6e5f3db	Add common model interface to pnasnet and xception, update factory	5 years ago
Ross Wightman	45cde6f0c7	Improve creation of data pipeline with prefetch enabled vs disabled, fixup inception_res_v2 and dpn models	5 years ago
Ross Wightman	2295cf56c2	Add some Nvidia performance enhancements (prefetch loader, fast collate), and refactor some of training and model fact/transforms	5 years ago