Skip to content
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.

Sign up for GitHub

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

[Doc] Update model zoo for documents #400

Merged
merged 5 commits into from
Jul 1, 2021
Merged

[Doc] Update model zoo for documents #400

Changes from 1 commit
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
beb85ec
Update model zoo for documents
ckkelvinchan Jun 29, 2021
9e60dce
Collapse instructions
innerlee Jul 1, 2021
ce350c7
bold them
innerlee Jul 1, 2021
73024b5
hr br
innerlee Jul 1, 2021
1bb2b3a
cool
innerlee Jul 1, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
Collapse instructions
  • Loading branch information
@innerlee
innerlee committed Jul 1, 2021
commit 9e60dceeeb36e719917d9d41d7272af94ce8be06
8 changes: 8 additions & 0 deletions configs/restorers/tdan/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,9 @@ The metrics are `PSNR / SSIM` .

## Train

<details>
<summary>Train Instructions</summary>

You can use the following command to train a model.

```shell
Expand All @@ -48,9 +51,13 @@ TDAN is trained with two stages.
```

For more details, you can refer to **Train a model** part in [getting_started](/docs/getting_started.md#train-a-model).
</details>

## Test

<details>
<summary>Test Instructions</summary>

You can use the following command to test a model.

```shell
Expand All @@ -64,3 +71,4 @@ python tools/test.py configs/restorers/tdan/tdan_vimeo90k_bix4_ft_lr5e-5_400k.py
```

For more details, you can refer to **Inference with pretrained models** part in [getting_started](/docs/getting_started.md#inference-with-pretrained-models).
</details>