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from configuration import DatasetName, D300wConf, InputDataSize, CofwConf, WflwConf
from cnn_model import CNNModel
from pca_utility import PCAUtility
from image_utility import ImageUtility
from student_train import StudentTrainer
from test import Test
from teacher_trainer import TeacherTrainer
if __name__ == '__main__':
'''test models'''
'''train Teacher Networks'''
trainer = TeacherTrainer(dataset_name=DatasetName.w300)
trainer.train(arch='efficientNet',weight_path=None)
'''Training Student Network'''
'''300W'''
st_trainer = StudentTrainer(dataset_name=DatasetName.w300, use_augmneted=True)
st_trainer.train(arch_student='mobileNetV2', weight_path_student=None,
loss_weight_student=2.0,
arch_tough_teacher='efficientNet', weight_path_tough_teacher='./models/teachers/ds_300w_ef_tou.h5',
loss_weight_tough_teacher=1,
arch_tol_teacher='efficientNet', weight_path_tol_teacher='./models/teachers/ds_300w_ef_tol.h5',
loss_weight_tol_teacher=1)
'''COFW'''
st_trainer = StudentTrainer(dataset_name=DatasetName.cofw, use_augmneted=True)
st_trainer.train(arch_student='mobileNetV2', weight_path_student=None,
loss_weight_student=2.0,
arch_tough_teacher='efficientNet', weight_path_tough_teacher='./models/teachers/ds_cofw_ef_tou.h5',
loss_weight_tough_teacher=1,
arch_tol_teacher='efficientNet', weight_path_tol_teacher='./models/teachers/ds_cofw_ef_tol.h5',
loss_weight_tol_teacher=1)
'''WFLW'''
st_trainer = StudentTrainer(dataset_name=DatasetName.wflw, use_augmneted=True)
st_trainer.train(arch_student='mobileNetV2', weight_path_student=None,
loss_weight_student=2.0,
arch_tough_teacher='efficientNet', weight_path_tough_teacher='./models/teachers/ds_wflw_ef_tou.h5',
loss_weight_tough_teacher=1,
arch_tol_teacher='efficientNet', weight_path_tol_teacher='./models/teachers/ds_wflw_ef_tol.h5',
loss_weight_tol_teacher=1) |