6411c9079a834fd7549ab4593261a3619519eb02,imgaug/augmenters/size.py,CropAndPad,_augment_images,#CropAndPad#Any#Any#Any#Any#,979
Before Change
rngs = random_state.duplicate(nb_images)
for i in sm.xrange(nb_images):
height, width = images[i].shape[0:2]
crop_top, crop_right, crop_bottom, crop_left, \
pad_top, pad_right, pad_bottom, pad_left, pad_mode, \
pad_cval = self._draw_samples_image(rngs[i], height, width)
After Change
result = []
nb_images = len(images)
rngs = random_state.duplicate(nb_images)
for image, rng in zip(images, rngs):
height, width = image.shape[0:2]
samples = self._draw_samples_image(rng, height, width)
x1, y1, x2, y2 = samples.to_crop_xyxy(image.shape)
image_cr = image[y1:y2, x1:x2, ...]
image_cr_pa = ia.pad(
image_cr,
top=samples.pad_top, right=samples.pad_right,
bottom=samples.pad_bottom, left=samples.pad_left,
mode=samples.pad_mode, cval=samples.pad_cval)
if self.keep_size:
image_cr_pa = ia.imresize_single_image(image_cr_pa,
(height, width))
result.append(image_cr_pa)
if ia.is_np_array(images):
if self.keep_size:
result = np.array(result, dtype=images.dtype)
else:
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 8
Instances
Project Name: aleju/imgaug
Commit Name: 6411c9079a834fd7549ab4593261a3619519eb02
Time: 2019-09-04
Author: kontakt@ajung.name
File Name: imgaug/augmenters/size.py
Class Name: CropAndPad
Method Name: _augment_images
Project Name: aleju/imgaug
Commit Name: b0bdcbfdabcae1933980925c8f2438cbb2359a49
Time: 2019-09-13
Author: kontakt@ajung.name
File Name: imgaug/augmenters/geometric.py
Class Name: ElasticTransformation
Method Name: _augment_keypoints
Project Name: aleju/imgaug
Commit Name: b0bdcbfdabcae1933980925c8f2438cbb2359a49
Time: 2019-09-13
Author: kontakt@ajung.name
File Name: imgaug/augmenters/geometric.py
Class Name: ElasticTransformation
Method Name: _augment_images