Skip to content

Code for the paper "Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping"

Notifications You must be signed in to change notification settings

jinyangyuan/learnable-deep-priors

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Spatial Mixture Models with Learnable Deep Priors (SMMLDP)

This is the code repository of the paper "Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping".

Dependencies

  • pytorch == 1.8
  • torchvision == 0.9
  • numpy == 1.19
  • h5py == 2.10
  • pyyaml == 5.4
  • scipy == 1.6
  • scikit-learn == 0.24

Datasets

Change the current working directory to data and run create_datasets.sh.

cd data
./create_datasets.sh
cd ..

Experiments

Change the current working directory to experiments and run run.sh.

cd experiments
./run.sh
cd ..

Run experiments/evaluate.ipynb to evaluate the trained models.

About

Code for the paper "Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published