4a5eef64d2a0ab5e1737ffbb345d9e72d2f1adc9,train.py,,,#,56
Before Change
parser = argparse.ArgumentParser()
// Basic options
parser.add_argument("--gpu", type=int, default=-1)
parser.add_argument("--content_dir", type=str, required=True,
help="Directory path to a batch of content images")
parser.add_argument("--style_dir", type=str, required=True,
help="Directory path to a batch of style images")
After Change
parser.add_argument("--save_model_interval", type=int, default=10000)
args = parser.parse_args()
device = torch.device("cuda")
if not os.path.exists(args.save_dir):
os.mkdir(args.save_dir)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: naoto0804/pytorch-AdaIN
Commit Name: 4a5eef64d2a0ab5e1737ffbb345d9e72d2f1adc9
Time: 2018-05-16
Author: inoue@hal.t.u-tokyo.ac.jp
File Name: train.py
Class Name:
Method Name:
Project Name: eriklindernoren/PyTorch-YOLOv3
Commit Name: ac7bb33dd978e2bf6ecb0cf055dd6bf6c9c1ea05
Time: 2019-04-19
Author: eriklindernoren@live.se
File Name: train.py
Class Name:
Method Name:
Project Name: naoto0804/pytorch-AdaIN
Commit Name: 4a5eef64d2a0ab5e1737ffbb345d9e72d2f1adc9
Time: 2018-05-16
Author: inoue@hal.t.u-tokyo.ac.jp
File Name: test.py
Class Name:
Method Name: