HumberMe 1214df083d [Enhance] Use PyTorch official `one_hot` to implement `convert_to_one_hot`. (#696) ... * some change to mmcls/models/losses/utils.py:convert_to_one_hot() * fixed problem: line too long * fixed wrong output shape * fixed lint PEP8 E128 * fix lint * fix lint * add unit tests Co-authored-by: Ezra-Yu <1105212286@qq.com>		2022-02-28 10:20:31 +08:00
..
__init__.py	[Feature] Add seesaw loss. (#500)	2021-10-27 10:11:59 +08:00
accuracy.py	[Fix] Fix cal_acc bug caused by the return type of accuracy.	2021-12-14 16:21:25 +08:00
asymmetric_loss.py	[Enhance] Support single-label, softmax, custom eps by asymmetric loss (#609)	2022-01-21 11:35:14 +08:00
cross_entropy_loss.py	[Feature] Support positive weights in BCE. (#516)	2021-11-10 17:14:12 +08:00
focal_loss.py	[Enhance] Focal loss for single label tasks (#548)	2021-11-26 12:36:49 +08:00
label_smooth_loss.py	[Refactor] Remove deprecation. (#633)	2022-02-10 09:30:18 +08:00
seesaw_loss.py	[Feature] Add seesaw loss. (#500)	2021-10-27 10:11:59 +08:00
utils.py	[Enhance] Use PyTorch official `one_hot` to implement `convert_to_one_hot`. (#696)	2022-02-28 10:20:31 +08:00