Using matplotlib_imshow for images read by cv2
One of the major issue faced while using
cv2, especially when you are using
jupyter-notebooks, is to perform
cv2.imshow the kernel breaks. Apart from this, most of the users are comfortable using matplotlib for display, specially its display in notebook using
%matplotlib inline magic.
This package provides two of the main function, converting the image to a format more suitable in matplotlib, and plotting the image using matplotlib in the notebooks.
Table of contents
pip install cv2_plt_imshow
import cv2 import matplotlib.pyplot as plt from cv2_plt_imshow import cv2_plt_imshow, plt_format # read image im1 = cv2.imread('./images/potrait.jpg') # use cv2_plt_imshow function to plot any image that was read by cv2, but is plotted using pyplot cv2_plt_imshow(im1) # Convert the image to be suitable for pyplot format and later use it for plotting using pyplot functions im2 = cv2.imread('./images/landscape.jpg') fig, axs = plt.subplots(2 , figsize=(20,20)) fig.suptitle('Vertically stacked subplots') axs.imshow(plt_format(im1)) axs.imshow(plt_format(im2))