Skip to content

saraershadi/deep_RandomForest

Repository files navigation

deep_RandomForest

Deep features are used for training a random forest in pose estimation application. At First Deep Features are extracted by using Caffe Deep learning framework and then they are used as the features input to the ranodm forest. The main aiem is pose estimation in football dataset.

About

Deep features are used for training a random forest in pose estimation application.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors