Make realistic face images from 3D simulated

Install:

• keras
• tensorflow-gpu
• scipy 1.1.0
• scikit-image

sudo apt-add-repository ppa:zarquon42/meshlab
sudo apt-get update
sudo apt-get install meshlab=1.3.2+dfsg1-2build4

pip install git+https://www.github.com/keras-team/keras-contrib.git

Generating 3D simulated images from still images:

• Put the still images in "./face3d/input/", while each identity is in a seperate folder.
• Run:

pyhton face3d.py

• 3D rendered results will be in "face3d/output"

Using CGAN to refine the 3D simulated images:

Put the train and test 3D simulated data in:

./data/chokepoint/train_sim
./data/chokepoint/train_sim

Put the train and test target data in:

data/chokepoint/train_target
data/chokepoint/train_target

Put the test and train labels (only 3D simulated data needs label) in:

./data/chokepoint/test_sim_labels.txt ./data/chokepoint/train_sim_labels.txt

Run:

python cgan.py

Results will be in "./output"