9 Commits (171c0b88b67e1d4b45af2a02fca0a2bee33baa5f)

Author	SHA1	Message	Date
Ross Wightman	6fc886acaf	Remove all prints, change most to logging calls, tweak alignment of batch logs, improve setup.py	5 years ago
Ross Wightman	aa4354f466	Big re-org, working towards making pip/module as 'timm'	5 years ago
Ross Wightman	c1a84ecb22	dataset not passed through PrefetchLoader for inference script. Fix #10 ... * also, make top5 configurable for lower class count cases	6 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	6 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	6 years ago
Ross Wightman	0bc50e84f8	Lots of refactoring and cleanup. ... * Move 'test time pool' to Module that can be used by any model, remove from DPN * Remove ResNext model file and combine with ResNet * Remove fbresnet200 as it was an old conversion and pretrained performance not worth param count * Cleanup adaptive avgmax pooling and add back conctat variant * Factor out checkpoint load fn	6 years ago
Ross Wightman	1e23727f2f	Update inference script for new loader style	6 years ago
Ross Wightman	31055466fc	Fixup validate/inference script args, fix senet init for better test accuracy	6 years ago
Ross Wightman	5855b07ae0	Initial commit, puting some ol pieces together	6 years ago