# -*- coding: utf-8 -*-

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# program from someone who is authorized to grant you that right.
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# Copyright©2023 Max-Planck-Gesellschaft zur Förderung
# der Wissenschaften e.V. (MPG). acting on behalf of its Max Planck Institute
# for Intelligent Systems. All rights reserved.
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# Contact: mica@tue.mpg.de


import numpy as np
import torch

from datasets.creation.generator import Generator
from datasets.creation.instances.bu3dfe import BU3DFE
from datasets.creation.instances.d3dfacs import D3DFACS
from datasets.creation.instances.facewarehouse import FaceWarehouse
from datasets.creation.instances.florence import Florence
from datasets.creation.instances.frgc import FRGC
from datasets.creation.instances.lyhm import LYHM
from datasets.creation.instances.pb4d import PB4D
from datasets.creation.instances.stirling import Stirling

np.random.seed(42)

if __name__ == '__main__':
    torch.multiprocessing.set_start_method('spawn')

    datasets = [FaceWarehouse(), LYHM(), D3DFACS(), FRGC(), Florence(), Stirling(), BU3DFE(), PB4D()]
    generator = Generator([FaceWarehouse()])

    generator.run()