Cloth segmentation to segment clothes
It is a method to detect and separate only the area of clothes in the image.
We want to make an application for clothes
We can create various applications by segmenting clothes such as fashion EC and fitting apps.
Detecting clothing areas with machine learning
Semantic segmentation can be used to automatically detect clothing areas.
You can easily execute it in Python using the following model.
GitHub - ternaus/cloths_segmentation: Code for binary segmentation of cloths
pip install -U cloths_segmentation Jupyter notebook with the example: https://clothssegmentation.herokuapp.com/…
Also, by using the model converted to CoreML format, it can be executed on iOS and MacOS devices and can be applied to iOS apps.
From installation to execution, Colab is available.
When executing from an inference file.
If you just want to try it, there is also a web app available.
To run on iOS, download the CoreML model from CoreML-Models and bundle it with your project.
GitHub - john-rocky/CoreML-Models: Converted CoreML Model Zoo.
Converted CoreML Model Zoo. CoreML is a machine learning framework by Apple. If you are iOS developer, you can easly…
The accuracy is quite good, so it seems that you can create a convenient application.
I’m a freelance engineer.
Please feel free to contact us with a brief development description.
I am making an app that uses Core ML and ARKit.
We send machine learning / AR related information.