Skip to content

wdzhao123/SAT

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Implementation of "Nowhere to Disguise: Spot Camouflaged Objects via Saliency Attribute Transfer" in PyTorch.

Requirements

  • PyTorch==1.5.1
  • TorchVision==0.6.1
  • CUDA==11.0
  • tqdm==4.62.2

Generate images

  1. Download 'datasets.zip' at https://pan.baidu.com/s/1wMsTGSbv7Pa_gdZ5GlFoPA Extraction code:fgh2 . Download 'snapshot.zip' at https://pan.baidu.com/s/1OAA-OoRuZfeQACBHueVdZQ Extraction code:a6vu . Then unzip 'datasets.zip' and 'snapshot.zip' then put them under ./SAT/

  2. Run ’Gen_imgs.py‘ , the generated weakly camouflaged images will be save in ./SAT/generated_imgs/

  3. We also provide weakly camouflaged images at https://pan.baidu.com/s/1swZhd8NEKJR2r6WYwQfPTQ Extraction code:w3jb .

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages