Побитово и возвращает черное изображение ⇐ Python

[Anonymous]

Предположим, у нас есть следующее изображение:

Я хотел бы применить некоторые побитовые и к этому изображению, поэтому я просто поэкспериментировал со следующей маской:

Код: Выделить всё

import cv2
import matplotlib.pyplot as plt
import numpy as np
image1 =cv2.imread("ML.png")
image1 =cv2.resize(image1,(400,400))
print(image1)
mask =np.zeros((400,400,3),dtype='uint8')
mask[0:50,0:120]=1
mask[70:180,130:320] =1
mask[150:240,190:390] =1
print(mask)
image1_changed =cv2.bitwise_and(image1,mask)
print(image1_changed)
plt.imshow(np.uint8(image1_changed))
plt.show()

actually i want to leave only head part and remove rest of them, all matrices are here :

Код: Выделить всё

[[[255 250 245]
[255 250 245]
[255 250 245]
...
[255 250 245]
[255 250 245]
[255 250 245]]

[[255 250 245]
[255 250 245]
[255 250 245]
...
[255 250 245]
[255 250 245]
[255 250 245]]

[[255 250 245]
[255 250 245]
[255 250 245]
...
[255 250 245]
[255 250 245]
[255 250 245]]

...

[[255 250 245]
[255 250 245]
[255 250 245]
...
[255 250 245]
[255 250 245]
[255 250 245]]

[[255 250 245]
[255 250 245]
[255 250 245]
...
[255 250 245]
[255 250 245]
[255 250 245]]

[[255 250 245]
[255 250 245]
[255 250 245]
...
[255 250 245]
[255 250 245]
[255 250 245]]]
[[[1 1 1]
[1 1 1]
[1 1 1]
...
[0 0 0]
[0 0 0]
[0 0 0]]

[[1 1 1]
[1 1 1]
[1 1 1]
...
[0 0 0]
[0 0 0]
[0 0 0]]

[[1 1 1]
[1 1 1]
[1 1 1]
...
[0 0 0]
[0 0 0]
[0 0 0]]

...

[[0 0 0]
[0 0 0]
[0 0 0]
...
[0 0 0]
[0 0 0]
[0 0 0]]

[[0 0 0]
[0 0 0]
[0 0 0]
...
[0 0 0]
[0 0 0]
[0 0 0]]

[[0 0 0]
[0 0 0]
[0 0 0]
...
[0 0 0]
[0 0 0]
[0 0 0]]]
[[[1 0 1]
[1 0 1]
[1 0 1]
...
[0 0 0]
[0 0 0]
[0 0 0]]

[[1 0 1]
[1 0 1]
[1 0 1]
...
[0 0 0]
[0 0 0]
[0 0 0]]

[[1 0 1]
[1 0 1]
[1 0 1]
...
[0 0 0]
[0 0 0]
[0 0 0]]

...

[[0 0 0]
[0 0 0]
[0 0 0]
...
[0 0 0]
[0 0 0]
[0 0 0]]

[[0 0 0]
[0 0 0]
[0 0 0]
...
[0 0 0]
[0 0 0]
[0 0 0]]

[[0 0 0]
[0 0 0]
[0 0 0]
...
[0 0 0]
[0 0 0]
[0 0 0]]]

how to define well such matrix? previous code returns black image, please help me


Источник: https://stackoverflow.com/questions/781 ... lack-image