forked from Howlclat/sudoku_opencv_py
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathplotCVImg.py
31 lines (27 loc) · 961 Bytes
/
plotCVImg.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
import cv2
from matplotlib import pyplot as plt
# 转换图像格式,并使用matplotlib显示opencv图像,单幅图像
def plotImg(img, title=""):
if img.ndim == 3:
b, g, r = cv2.split(img)
img = cv2.merge([r, g, b])
plt.imshow(img), plt.axis("off")
else:
plt.imshow(img, cmap='gray'), plt.axis("off")
plt.title(title)
plt.show()
# 转换图像格式,并使用matplotlib显示opencv图像
def plotImgs(img1, img2):
if img1.ndim == 3:
b, g, r = cv2.split(img1)
img1 = cv2.merge([r, g, b])
plt.subplot(121), plt.imshow(img1), plt.axis("off")
else:
plt.subplot(121), plt.imshow(img1, cmap='gray'), plt.axis("off")
if img2.ndim == 3:
b, g, r = cv2.split(img2)
img2 = cv2.merge([r, g, b])
plt.subplot(122), plt.imshow(img2), plt.axis("off")
else:
plt.subplot(122), plt.imshow(img2, cmap='gray'), plt.axis("off")
plt.show()