-
Notifications
You must be signed in to change notification settings - Fork 1.1k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[Feature] Add TDAN config and models #347
Conversation
Codecov Report
@@ Coverage Diff @@
## master #347 +/- ##
==========================================
- Coverage 79.98% 79.96% -0.03%
==========================================
Files 180 180
Lines 9435 9435
Branches 1377 1377
==========================================
- Hits 7547 7545 -2
- Misses 1698 1699 +1
- Partials 190 191 +1
Flags with carried forward coverage won't be shown. Click here to find out more.
Continue to review full report at Codecov.
|
As discussed in private, need to add training steps in the algorithm's README |
configs/restorers/tdan/README.md
Outdated
@@ -33,14 +33,16 @@ You can use the following command to train a model. | |||
./tools/dist_train.sh ${CONFIG_FILE} ${GPU_NUM} [optional arguments] | |||
``` | |||
|
|||
TDAN is trained with two stages. For example, when training on Bicubic downsampling, you need to use | |||
TDAN is trained with two stages. For example: |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
For example:
* Add TDAN config and models * Add training and test descriptions * Update readme descrptions * Update README
No description provided.