bob config set bob.db.multipie.annotations_directory <path_to_folder>
bob config set bob.db.multipie.annotations_directory <path_to_folder>
# Path to the Pickle file where to store computed latent directions
# Path to the Pickle file where to store computed latent directions
bob config set bob.synface.latent_directions <path_to_folder>
bob config set bob.synface.latent_directions <path_to_pickle_file.pkl>
Run dataset projection
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Database projection is performed by running the `./bin/project_db.py` script. Premade configuration files are available in the repository to
perform the projection of three subsets of interest of the Multipie database (image from the world group for the U, E and P protocol).
StyleGAN2 only runs on GPU, therefore the projection should be made on a computation node with a GPU. Moreover, on the Idiap SGE grid, one can easily split the projection process
between several parallel jobs by submitting them through `jman`. By default (unless one uses the `--force` flag), images are not reprojected if their latent projection is already
present in the output folder, which enables to interrupt & restart projection in a series of sequential `sgpu` jobs.
One can run `./bin/project_db.py --help` to get more info on the required configuration values.
This commands launch 8 parallel projection jobs of the Multipie P protocol on the short gpu queue. As it uses the `--checkpoint` flag, not only latents projection will be saved, but also
the cropped images as well as the resynthetized StyleGAN2 images for each computed latent. This launch instructions is then repeated 10 times, until there are no more images left to project.
