Skip to content

Li-Wanhua/Label2Label

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Label2Label

PWC PWC

PWC

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

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages