71c559e66eaff89089fa447a3d7e04b6835356cf,dataset.py,BaseDataset,img_transform,#BaseDataset#Any#,56
Before Change
def img_transform(self, img):
// image to float
img = img.astype(np.float32)
img = img.transpose((2, 0, 1))
img = self.normalize(torch.from_numpy(img.copy()))
return img
After Change
def img_transform(self, img):
// 0-255 to 0-1
img = np.float32(np.array(img)) / 255.
img = img.transpose((2, 0, 1))
img = self.normalize(torch.from_numpy(img.copy()))
return img
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: CSAILVision/semantic-segmentation-pytorch
Commit Name: 71c559e66eaff89089fa447a3d7e04b6835356cf
Time: 2019-08-02
Author: zhaohang0124@gmail.com
File Name: dataset.py
Class Name: BaseDataset
Method Name: img_transform
Project Name: drckf/paysage
Commit Name: 25694a657492c97276d201a98cff47266060254a
Time: 2016-12-23
Author: charlesfisher@Charless-MacBook-Pro.local
File Name: paysage/layers.py
Class Name: IsingLayer
Method Name: random
Project Name: DT42/BerryNet
Commit Name: 18f9aae4939d79bb3698bb94f46d33c08396daf4
Time: 2019-06-15
Author: bofu@dt42.io
File Name: berrynet/engine/tflite_engine.py
Class Name: TFLiteClassifierEngine
Method Name: process_input