Commit Graph

11 Commits (927f031293a30afb940fff0bee34b85d9c059b0e)

Author SHA1 Message Date
hongxin xiang 653bdc7105 Fix comment: https://github.com/rwightman/pytorch-image-models/pull/1564#issuecomment-1326743424 2022-11-25 09:52:52 +08:00
hongxin xiang bdc9fad638 Fix compatible BUG: QMNIST and ImageNet datasets do not exist in torchvision 0.10.1. 2022-11-24 14:37:44 +08:00
Ross Wightman e9dccc918c Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc 2022-10-14 15:14:38 -07:00
Ross Wightman b8c8550841 Data improvements. Improve train support for in_chans != 3. Add wds dataset support from bits_and_tpu branch w/ fixes and tweaks. TFDS tweaks. 2022-09-29 16:42:58 -07:00
Ross Wightman 87939e6fab Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed. 2022-09-23 16:08:59 -07:00
Ross Wightman 9be0c84715 Change set -> dict w/ None keys for dataset split synonym search, so always consistent if more than 1 exists. Fix #1224 2022-07-07 15:33:53 -07:00
Ross Wightman 656757d26b Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones. 2022-01-14 16:28:27 -08:00
Ross Wightman 78b36bf46c Places365 doesn't exist in some still used torchvision version 2021-11-18 14:59:51 -08:00
Ross Wightman ba65dfe2c6 Dataset work
* support some torchvision datasets
* improvements to TFDS wrapper for subsplit handling (fix #942), shuffle seed
* add class-map support to train (fix #957)
2021-11-09 22:34:15 -08:00
Ross Wightman 2db2d87ff7 Add epoch-repeats arg to multiply the number of dataset passes per epoch. Currently for iterable datasets (read TFDS wrapper) only. 2021-02-23 17:31:42 -08:00
Ross Wightman 855d6cc217 More dataset work including factories and a tensorflow datasets (TFDS) wrapper
* Add parser/dataset factory methods for more flexible dataset & parser creation
* Add dataset parser that wraps TFDS image classification datasets
* Tweak num_classes handling bug for 21k models
* Add initial deit models so they can be benchmarked in next csv results runs
2021-01-15 17:26:20 -08:00