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import torch
import utility
import data
import model
import loss
from option import args
from trainer import Trainer
from model.sspcab_torch import MY_SSPCAB
torch.manual_seed(args.seed)
checkpoint = utility.checkpoint(args)
def main():
global model
if args.data_test == ['video']:
from videotester import VideoTester
model = model.Model(args, checkpoint)
t = VideoTester(args, model, checkpoint)
t.test()
else:
if checkpoint.ok:
loader = data.Data(args)
_model = model.Model(args, checkpoint)
_loss = loss.Loss(args, checkpoint) if not args.test_only else None
sub_model = MY_SSPCAB(channels=3, reduction_ratio=8)
sub_model.to('cuda')
t = Trainer(args, loader, _model, _loss, checkpoint, sub_model)
while not t.terminate():
t.train()
t.test()
checkpoint.done()
if __name__ == '__main__':
main()