Refactor code structure for improved readability and maintainability

Remove debugging border from the websr plugin's styling

Enhance canvas sizing logic in artplayer-plugin-websr

- Updated canvas positioning to center it within the player.
- Introduced a new function to calculate canvas size based on the video aspect ratio.
- Adjusted canvas dimensions during initialization and on resize events to maintain aspect ratio.
- Ensured canvas styles are updated to reflect the calculated dimensions.

feat: add comparison mode to artplayer-plugin-websr

- Updated README.md to reflect new comparison feature and simplified content.
- Modified package.json to remove unnecessary keywords.
- Enhanced index.js to implement comparison functionality, allowing users to compare original and upscaled video.
- Added new methods for enabling, disabling, and toggling comparison mode, as well as setting and getting the comparison position.
- Updated TypeScript definitions to include new comparison options and methods.
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Harvey Zhao committed 2026-02-10 23:02:31 +08:00
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# Network Weights
There are 3 Anime4k networks implemented:
* [cnn-2x-s](https://github.com/bloc97/Anime4K/blob/master/glsl/Upscale/Anime4K_Upscale_CNN_x2_S.glsl)
* [cnn-2x-m](https://github.com/bloc97/Anime4K/blob/master/glsl/Upscale/Anime4K_Upscale_CNN_x2_M.glsl)
* [cnn-2x-l](https://github.com/bloc97/Anime4K/blob/master/glsl/Upscale/Anime4K_Upscale_CNN_x2_VL.glsl)
The original Anime4K network weights are stored in:`cnn-2x-s-an.json`, `cnn-2x-m-an.json` and `cnn-2x-l-an.json`.
I have also retrained the same networks for Real Life and 3D content (e.g. `cnn-2x-m-rl.json` for Real Life content, or `cnn-2x-m-3d.json`). These were trained on data from [Xiph](https://media.xiph.org/video/derf/), however the upscaling results qualitatively don't seem as good as Anime4K weights on animated content.
I will continue working on improving the networks and training strategy.