shutil.copyfile(file_name,
os.path.join(args['save_dir'], 'best_iou_model.pth'))
for epoch in range(start_epoch, args['n_epochs']):
print('Starting epoch {}'.format(epoch))
scheduler.step(epoch)
train_loss = train(epoch)
val_loss, val_iou = val(epoch)
print('===> train loss: {:.2f}'.format(train_loss))
print('===> val loss: {:.2f}, val iou: {:.2f}'.format(val_loss, val_iou))
logger.add('train', train_loss)
logger.add('val', val_loss)
logger.add('iou', val_iou)
logger.plot(save=args['save'], save_dir=args['save_dir'])
is_best = val_iou > best_iou
best_iou = max(val_iou, best_iou)
if args['save']:
state = {
'epoch': epoch,
'best_iou': best_iou,
'model_state_dict': model.state_dict(),
'optim_state_dict': optimizer.state_dict(),
'logger_data': logger.data
}
