afed3aa787b44d6a7f53079f19e48a5021c8ee0f,examples/data_augmentation.py,,,#,56
Before Change
import kornia
transform = kornia.augmentation.augmentations.ColorJitter(brightness=0.5, contrast=0.5, hue=0.05, saturation=.5)
print(transform)
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// 3. Run the dataset and perform the data augmentation
After Change
import kornia
transform = nn.Sequential(
kornia.color.AdjustBrightness(0.5),
kornia.color.AdjustGamma(gamma=2.),
kornia.color.AdjustContrast(0.7),
)
////////////////////////////////////////////////////////////////
// 3. Run the dataset and perform the data augmentation
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances Project Name: arraiy/torchgeometry
Commit Name: afed3aa787b44d6a7f53079f19e48a5021c8ee0f
Time: 2019-11-11
Author: priba@cvc.uab.cat
File Name: examples/data_augmentation.py
Class Name:
Method Name:
Project Name: dmlc/dgl
Commit Name: 7a50be64b75a82ee4380284b4a74496d18106b0a
Time: 2018-04-22
Author: zzhang@gmail.com
File Name: mx.py
Class Name:
Method Name:
Project Name: mortendahl/tf-encrypted
Commit Name: 7272af90d4f5916f61f8bc5660e5605e730bbd78
Time: 2019-07-16
Author: suriyaku@gmail.com
File Name: examples/securenn/network_a.py
Class Name:
Method Name: