An executor that performs image segmentation on fashion items

Last update: Mar 30, 2022

Overview

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

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})

You might also like...

A MNIST-like fashion product database. Benchmark

Fashion-MNIST Table of Contents Why we made Fashion-MNIST Get the Data Usage Benchmark Visualization Contributing Contact Citing Fashion-MNIST License

10.5k Jan 8, 2023

Fashion Recommender System With Python

Fashion-Recommender-System Thr growing e-commerce industry presents us with a la

2 Feb 2, 2022

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Differential Privacy (DP) Based Federated Learning (FL) Everything about DP-based FL you need is here. （所有你需要的DP-based FL的信息都在这里） Code Tip: the code o

83 Dec 24, 2022

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP Abstract: We introduce a method that allows to automatically se

134 Dec 19, 2022

Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation

Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation. Generally, MAS methods register multiple atlases, i.e., medical images with corresponding labels, to a target image;

13 Oct 9, 2022

Copy Paste positive polyp using poisson image blending for medical image segmentation

Copy Paste positive polyp using poisson image blending for medical image segmentation According poisson image blending I've completely used it for bio

2 Oct 19, 2021

U-Net Implementation: Convolutional Networks for Biomedical Image Segmentation" using the Carvana Image Masking Dataset in PyTorch

U-Net Implementation By Christopher Ley This is my interpretation and implementation of the famous paper "U-Net: Convolutional Networks for Biomedical

1 Jan 6, 2022

Recall Loss for Semantic Segmentation (This repo implements the paper: Recall Loss for Semantic Segmentation)

Recall Loss for Semantic Segmentation (This repo implements the paper: Recall Loss for Semantic Segmentation) Download Synthia dataset The model uses

32 Sep 21, 2022

TorchDistiller - a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.

This project is a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.

147 Dec 3, 2022

Releases(v1.0.0)

v1.0.0(Dec 8, 2021)
v1.0.0 - 08.12.2021

ClothingSegmenter initial version

Added

U2NET implementation

Executor implementation

CI/CD

Source code(tar.gz)
Source code(zip)

An executor that performs image segmentation on fashion items

Related tags

Overview

ClothingSegmenter

Overview

References

Usage

via Docker image (recommended)

via source code

You might also like...

A MNIST-like fashion product database. Benchmark

Fashion Recommender System With Python

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP

Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation

Copy Paste positive polyp using poisson image blending for medical image segmentation

U-Net Implementation: Convolutional Networks for Biomedical Image Segmentation" using the Carvana Image Masking Dataset in PyTorch

Recall Loss for Semantic Segmentation (This repo implements the paper: Recall Loss for Semantic Segmentation)

TorchDistiller - a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.

Releases(v1.0.0)

v1.0.0(Dec 8, 2021)

v1.0.0 - 08.12.2021

Added

Owner

Jina AI

This is the repository of our article published on MDPI Entropy "Feature Selection for Recommender Systems with Quantum Computing".

Fast RFC3339 compliant Python date-time library

Using LSTM to detect spoofing attacks in an Air-Ground network

A Planar RGB-D SLAM which utilizes Manhattan World structure to provide optimal camera pose trajectory while also providing a sparse reconstruction containing points, lines and planes, and a dense surfel-based reconstruction.

MWPToolkit is a PyTorch-based toolkit for Math Word Problem (MWP) solving.

Repositório para arquivos sobre o Módulo 1 do curso Top Coders da Let's Code + Safra

MixRNet(Using mixup as regularization and tuning hyper-parameters for ResNets)

Geometric Algebra package for JAX

A library for uncertainty quantification based on PyTorch

Learning the Beauty in Songs: Neural Singing Voice Beautifier; ACL 2022 (Main conference); Official code

Meshed-Memory Transformer for Image Captioning. CVPR 2020

Large-scale Hyperspectral Image Clustering Using Contrastive Learning, CIKM 21 Workshop

Combinatorially Hard Games where the levels are procedurally generated

Multi-Output Gaussian Process Toolkit

[SIGGRAPH Asia 2019] Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning

Simple reimplemetation experiments about FcaNet

Custom implementation of Corrleation Module

Differentiable simulation for system identification and visuomotor control

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

Code samples for my book "Neural Networks and Deep Learning"

`v1.0.0 - 08.12.2021`

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.