Skip to content
MLDMXM2017Public

About

The Heterogeneous Ensemble of Deep Forest and Deep Neural Networks for Micro-expressions Recognition

Resources

Stars

4 stars

Watchers

0 watching

Forks

Latest commit

 

History

19 Commits

Folders and files

Repository files navigation

The source code of this papaer,"The Heterogeneous Ensemble of Deep Forest and Deep Neural Networks for Micro-expressions Recognition."

Usage

Dataset Preparation

you may put the apex and flow data into the folder "train_test_data_argument"

Get the gc results

Firstly, you can run the command to get the gc results:

cd gcForest_master
bash run_gcforest.sh

Run the DFN network for ME recognition

Then, you can run the command to run the DFN network:

bash run_DFN.sh

Requirements

The requirements of DFN can see the requirements.txt

If you have suggestions or questions regarding this method, please reach out to lkhqz@xmu.edu.cn.

Thank you for your interest and support.

About

The Heterogeneous Ensemble of Deep Forest and Deep Neural Networks for Micro-expressions Recognition

Resources

Stars

4 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages