56926bc8b4a158e1c40cddbc795303bc6a66f44d,semantic-segmentation/deeplabv3plus/image_preprocess.py,,resize,#,28
Before Change
def resize (image, desired_size) :
old_size = image.shape[:2 ]
ratio = float (desired_size)/max(old_size)
new_size = tuple([int (x*ratio) for x in old_size])
image = cv2.resize(image, (new_size[1 ], new_size[0 ]))
After Change
old_size = image.shape[:2 ]
ratio = min(np.divide(desired_size, old_size))
new_size = (int (old_size[0 ]*ratio ), int (old_size[1 ]*ratio))
if image.shape[2 ] == 1 :
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances Project Name: sony/nnabla-examples
Commit Name: 56926bc8b4a158e1c40cddbc795303bc6a66f44d
Time: 2019-05-23
Author: sukriti.mehrotra@sony.com
File Name: semantic-segmentation/deeplabv3plus/image_preprocess.py
Class Name:
Method Name: resize
Project Name: invesalius/invesalius3
Commit Name: 81b99bfa02345b83b75488a535a9bd85f49d65e6
Time: 2009-07-22
Author: paulojamorim@gmail.com
File Name: invesalius/data/imagedata_utils.py
Class Name:
Method Name: ResampleMatrix
Project Name: sony/nnabla-examples
Commit Name: 56926bc8b4a158e1c40cddbc795303bc6a66f44d
Time: 2019-05-23
Author: sukriti.mehrotra@sony.com
File Name: semantic-segmentation/deeplabv3plus/model_inference.py
Class Name:
Method Name: post_process