Skip to content

Code for ICIP2017 accepted paper "PERSON RE-IDENTIFICATION WITH DEEP DENSE FEATURE REPRESENTATION AND JOINT BAYESIAN"

Notifications You must be signed in to change notification settings

duanLH/PERSON-RE-IDENTIFICATION-WITH-DEEP-DENSE-FEATURE-REPRESENTATION-AND-JOINT-BAYESIAN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PERSON-RE-IDENTIFICATION-WITH-DEEP-DENSE-FEATURE-REPRESENTATION-AND-JOINT-BAYESIAN

Code for ICIP2017 accepted paper "PERSON RE-IDENTIFICATION WITH DEEP DENSE FEATURE REPRESENTATION AND JOINT BAYESIAN"

"eval" contrains the evalution method "features" is the SD-CNN features

1.Some other prerequisites are

1.Matlab (to pre-process the CUHK03 dataset and Market1501 dataset)
2.python2 packages: numpy, scipy, Pillow, scikit-learn, protobuf
  1. run the scripts

    sudo chmod a+x ./ -R

    ./result_{dataset}.sh

About

Code for ICIP2017 accepted paper "PERSON RE-IDENTIFICATION WITH DEEP DENSE FEATURE REPRESENTATION AND JOINT BAYESIAN"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published