from test_model import TestModels | |
from train import TrainModel | |
from config import DatasetName, DatasetType | |
if __name__ == "__main__": | |
'''testing the pre-trained models''' | |
tester = TestModels(h5_address='./trained_models/AffectNet_6336.h5') | |
tester.recognize_fer(img_path='./img.jpg') | |
'''training part''' | |
trainer = TrainModel(dataset_name=DatasetName.affectnet, ds_type=DatasetType.train_7) | |
trainer.train(arch="xcp", weight_path="./") |