def snapshot(model, valoader, epoch, best_miou, snapshot_dir, prefix):
miou = val(model, valoader)
snapshot = {'epoch': epoch, 'state_dict': model.state_dict(), 'miou': miou}
if miou > best_miou:
best_miou = miou
torch.save(snapshot,
os.path.join(snapshot_dir, '{}.pth.tar'.format(prefix)))
print("[{}] Curr mIoU: {:0.4f} Best mIoU: {}".format(
epoch, miou, best_miou))
return best_miou
def snapshot(model, optimG, trainloader_l, valoader, epoch, best_miou_unlabel,
best_miou, snapshot_dir, prefix, f_path):
miou_unlabel = val_unlabel(model, trainloader_l, epoch)
miou = val(model, valoader, epoch)
global best_epoch
global best_epoch_unlabel
snapshot = {
'epoch': epoch,
'state_dict': model.state_dict(),
# 'optimizer_state_dict': optimG.state_dict(),
'miou_unlabel': miou_unlabel,
'miou': miou
}
if miou_unlabel > best_miou_unlabel:
best_miou_unlabel = miou_unlabel
best_epoch_unlabel = epoch
torch.save(snapshot,
os.path.join(snapshot_dir, '{}.pth.tar'.format(prefix)))
if miou > best_miou:
best_miou = miou
best_epoch = epoch
torch.save(snapshot,
os.path.join(snapshot_dir, '{}.pth.tar'.format(prefix)))
print("unlabelled::[{}] Curr mIoU: {:0.4f} Best mIoU: {} Best epoch: {}".
format(epoch, miou_unlabel, best_miou_unlabel, best_epoch_unlabel))
print("validation::[{}] Curr mIoU: {:0.4f} Best mIoU: {} Best epoch: {}".
format(epoch, miou, best_miou, best_epoch))
with open(f_path, 'a') as f:
f.write(
"unlabelled::[{}] Curr mIoU: {:0.4f} Best mIoU: {} Best epoch: {}".
format(epoch, miou_unlabel, best_miou_unlabel, best_epoch_unlabel))
f.write(
"validation::[{}] Curr mIoU: {:0.4f} Best mIoU: {} Best epoch: {}".
format(epoch, miou, best_miou, best_epoch))
f.write('\n')
return best_miou_unlabel, best_miou
