Difference between plt.imshow and cv2.imshow?

Question:

Why is there a difference in the output image when calling the same image using plt.imshow & cv2.imshow()?

Here is my code:

import cv2
import numpy as np
from matplotlib import pyplot as plt

src=cv2.imread('fruits1.jpg') # Source image

plt.subplot(211),plt.imshow(src),plt.title('image')
plt.xticks([]),plt.yticks([])
plt.show()

cv2.imshow('image',src)
cv2.waitKey(0)
cv2.destroyWindow()

Here is the image from plt.imshow:

image output for plt.imshow

and the second one is the original image:

image output from cv2.show

Is there some modification required with the plt.imshow()?

Asked By: Aman Garg

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Source

Answers:

Because OpenCV stores images in BGR order instead of RGB.

Try plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))

See here for an example.

Answered By: laks

OpenCV – BGR and Matplotlib – RGB

OpenCV:

https://docs.opencv.org/2.4/doc/tutorials/introduction/display_image/display_image.html

enter image description here

Matplotlib:

https://matplotlib.org/api/_as_gen/matplotlib.pyplot.imshow.html

enter image description here

Answered By: Adam Merckx

you can either use :

plt.imshow(cv2.cvtColor(image,cv2.COLOR_BGR2RGB))
                        OR
plt.imshow(image[:,:,::-1])  # here we are reversing the channel order
Answered By: Suman