jina-ai / executor-image-clothing-segmenter

An executor that performs image segmentation on fashion items

ClothingSegmenter

U2NET fashion image/clothing segmenter based on https://github.com/levindabhi/cloth-segmentation

Overview

The ClothingSegmenter executor can be used to perform segmentation on images of fashion products. The executor is based on a U2NET architecture pre-trained on iMaterialistic fashion 2019. The parts of the image that represent clothing or fashion items are recognized, using the U2NET pixel-wise segmentation model and the rest of the image content is filtered out. Images that pass through the executor are resized to a fixed shape of (500, 768) to match the pre-training image size.

References

• U2NET
• iMaterialistic fashion 2019
• Training and inference code
• Pre-trained model

Usage

via Docker image (recommended)

from jina import Flow
	
f = Flow().add(uses='jinahub+docker://ClothingSegmenter')

via source code

from jina import Flow
	
f = Flow().add(uses='jinahub://ClothingSegmenter')

• To override __init__ args & kwargs, use .add(..., uses_with: {'key': 'value'})
• To override class metas, use .add(..., uses_metas: {'key': 'value})