If you want to use super-resolution for the time being, use the CoreML model that can be used with image drop.
This is an easy way to use super-resolution that makes the image sharp and large.
Super-resolution model that can be used to provide clear content, is it difficult to use?
With super-resolution, you may be able to improve the quality of the content you provide to your users in a sharper, richer size .
But how do you use super-resolution technology?
Doesn’t it require complicated calculations?
With CoreML, you can use it for the time being by dropping an image
If it is a CoreML model, you can try the super-resolution model for the time being by dropping the image.
Easy to incorporate into the app
To embed it in your app, just put the file in Xcode and call it with a short code.
procedure
Download BSRGAN from CoreML-Models .
Open the file and drop the image in the Preview tab.
↓
Drop the image into the model file
↓
If you want to incorporate it into a project, execute it with Vision.
🐣
I’m a freelance engineer.
Work consultation
Please feel free to contact us with a brief development description.
rockyshikoku@gmail.com
I am making an app that uses Core ML and ARKit.
We send machine learning / AR related information.
