mmpretrain/tests
LXXXXR 2c9e12f850
[Feature] Add an argument `efficientnet_style` to `RandomResizedCrop` and `CenterCrop` (#268)
* add config for resnest test

* fix config

* add label smoothing

* add memcached

* minor fix

* fix bug

* fix config

* add config

* minor fix

* fix configs

* use EResize

* change interpolation

* add more configs

* add docsting

* add unittest

* remove unnecessary changes

* minor fix

* add more docstring

* fix linting

* refactor

* add resize in crop to ensure crop size is output size

* fix bug and add comments

* fix bug
2021-05-31 14:10:57 +08:00
..
data Add RandomCrop, RandomResizedCrop, RandomGrayscale, impad 2020-07-12 00:06:55 +08:00
test_backbones fix typo in unit test (#238) 2021-05-10 15:03:39 +08:00
test_pipelines [Feature] Add an argument `efficientnet_style` to `RandomResizedCrop` and `CenterCrop` (#268) 2021-05-31 14:10:57 +08:00
test_classifiers.py [Feature]Modify Parameters Passing in models.heads (#239) 2021-05-10 14:56:55 +08:00
test_dataset.py [Feature] Add heads and config for multilabel task (#145) 2021-01-25 18:10:14 +08:00
test_eval_hook.py [Fix] Use MMCV's EvalHook in MMClassification (#182) 2021-03-25 17:38:51 +08:00
test_heads.py [Feature]Modify Parameters Passing in models.heads (#239) 2021-05-10 14:56:55 +08:00
test_losses.py [Bug]Fix label smooth bug (#203) 2021-04-13 13:53:56 +08:00
test_metrics.py Add evaluation metrics for multilabel task (#123) 2021-01-04 12:25:33 +08:00
test_neck.py GlabelAveragePooling support 1d, 2d and 3d by param, and add neck test (#236) 2021-05-10 15:00:50 +08:00