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.
forked from saraershadi/deep_RandomForest
-
Notifications
You must be signed in to change notification settings - Fork 0
Fh1365/deep_RandomForest
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Deep features are used for training a random forest in pose estimation application.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- MATLAB 99.9%
- C 0.1%