mirror of
https://gitcode.com/gh_mirrors/ope/OpenFace.git
synced 2026-05-14 11:17:53 +00:00
13 lines
1011 B
Plaintext
13 lines
1011 B
Plaintext
This code is in support of the "Constrained Local Neural Fields for robust facial landmark detection in the wild" paper by Tadas Baltrusaitis, Peter Robinson, and Louis-Philippe Morency.
|
|
|
|
This code provides the code for training the patch experts used in the experiments reported in the paper.
|
|
|
|
You have to have the relevant datasets, to run the code, the in-the-wild datasets can be found at http://ibug.doc.ic.ac.uk/resources/facial-point-annotations/), the annotations are provided. The Multi-PIE dataset can be acquired from - http://www.multipie.org/, you will need to ask the authors of the dataset for the annotations.
|
|
|
|
./data_preparation/ folder contains scripts to prepare data for CCNF (CLNF) and SVR patch expert training
|
|
|
|
./ccnf_training/ and ./svr_training/ folders contain the training code itself.
|
|
|
|
I suggest starting with dataset preparation then with SVR and CCNF patch expert training.
|
|
|
|
The trained patch experts can then be used with the Matlab and C++ OpenFace landmark detection algorithms |