b8a5e5db6c2c0ff9540d84c11c05b21fc6023ae6,skimage/color/colorconv.py,,rgba2rgb,#,163
Before Change
channels = arr[..., :-1]
out = np.empty_like(channels)
for ichan in range(channels.shape[-1]):
out[..., ichan] = np.clip(
(1 - alpha) * background[ichan] + alpha * channels[..., ichan],
a_min=0, a_max=1)
return out
def rgb2hsv(rgb):
After Change
if len(background) != 3:
raise ValueError("background must be an array-like containing 3 RGB "
f"values. Got {len(background)} items")
if np.any(background < 0) or np.any(background > 1):
raise ValueError("background RGB values must be floats between "
"0 and 1.")
background = background[np.newaxis, ...]
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances Project Name: scikit-image/scikit-image
Commit Name: b8a5e5db6c2c0ff9540d84c11c05b21fc6023ae6
Time: 2020-05-04
Author: rfezzani@gmail.com
File Name: skimage/color/colorconv.py
Class Name:
Method Name: rgba2rgb
Project Name: scikit-learn-contrib/DESlib
Commit Name: e25ce99878d2b5c151ed8fde92276fbb2cb338b2
Time: 2018-03-28
Author: rafaelmenelau@gmail.com
File Name: deslib/des/knop.py
Class Name: KNOP
Method Name: select
Project Name: scikit-learn-contrib/DESlib
Commit Name: e25ce99878d2b5c151ed8fde92276fbb2cb338b2
Time: 2018-03-28
Author: rafaelmenelau@gmail.com
File Name: deslib/des/knora_u.py
Class Name: KNORAU
Method Name: select