OpenFace/model_training/ce-clm_training/cen_training

The code in this folder trains CEN patch experts for use with the CE-CLM
landmark detector. First generate the patches for training, using the code
in ../patch_generation.

Each patch expert is trained for a single scale, view and landmark.

python train_cen.py (location of patches) (model to train) (scale to train) (view to train) (landmark to train) (minibatch size) (folder to save models to) (menpo or general/300W patches)

other options:
--num_epochs : number of epochs to train (default 50)
--outfile : file to save training history to (default acc.txt)
--acc_file : file to load training history from to resume (set this flag in order to resume training)

e.g.
python train_cen.py menpo_data/ arch6 0.35 profile3 5 256 model_saves menpo --num_epochs 100 --outfile menpo_acc_120.txt --acc_file menpo_acc_20.txt