87f878b96bf00cb19d850992f01d9370b57b8345,skvideo/measure/niqe.py,,_get_patches_generic,#Any#Any#Any#Any#,52
Before Change
img = img.astype(np.float32)
img2 = scipy.misc.imresize(img, 0.5, interp="bicubic", mode="F")
mscn1, var, mu = compute_image_mscn_transform(img)
mscn1 = mscn1.astype(np.float32)
After Change
img = img.astype(np.float32)
img2 = np.array(Image.fromarray(img).resize(
(int(0.5 * img.shape[0]), int(img.shape[1] * 0.5)),
resample=PIL.Image.BICUBIC)
)
mscn1, var, mu = compute_image_mscn_transform(img)
mscn1 = mscn1.astype(np.float32)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances
Project Name: scikit-video/scikit-video
Commit Name: 87f878b96bf00cb19d850992f01d9370b57b8345
Time: 2019-10-21
Author: stg7@gmx.de
File Name: skvideo/measure/niqe.py
Class Name:
Method Name: _get_patches_generic
Project Name: scikit-video/scikit-video
Commit Name: 87f878b96bf00cb19d850992f01d9370b57b8345
Time: 2019-10-21
Author: stg7@gmx.de
File Name: skvideo/measure/brisque.py
Class Name:
Method Name: brisque_features
Project Name: Netflix/vmaf
Commit Name: 6001ecdbcf10a5656aac2d51c53be834eebe06f7
Time: 2019-11-09
Author: cbampis@gmail.com
File Name: python/src/vmaf/tools/sigproc.py
Class Name:
Method Name: dstack_y_u_v