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https://github.com/Li-Wanhua/Label2Label


https://github.com/Li-Wanhua/Label2Label

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README

        

# Label2Label
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/label2label-a-language-modeling-framework-for/facial-attribute-classification-on-lfwa)](https://paperswithcode.com/sota/facial-attribute-classification-on-lfwa?p=label2label-a-language-modeling-framework-for)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/label2label-a-language-modeling-framework-for/pedestrian-attribute-recognition-on-pa-100k)](https://paperswithcode.com/sota/pedestrian-attribute-recognition-on-pa-100k?p=label2label-a-language-modeling-framework-for)

[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/label2label-a-language-modeling-framework-for/clothing-attribute-recognition-on-clothing)](https://paperswithcode.com/sota/clothing-attribute-recognition-on-clothing?p=label2label-a-language-modeling-framework-for)

Official implementation of our paper "Label2Label: A Language Modeling Framework for Multi-Attribute Learning"

 This repo provides main experiments code, log and model for face attribute recognition and pedestrian attribute recognition.

# Installation

* Python==3.8.8
* torch==1.8.1
* torchvision==0.9.1
* timm==0.4.12
* numpy==1.19.2

 The other packages are listed in `requirements.txt`. You can install them by `pip install -r requirements.txt`

 Detailed training/evaluate introduction pleanse refer to `Face_Attribute/readme.md` and `Pedestrian_Attribute/readme.md`