Skip to main content

Show OpenCV Image With Matplotlib

Show Image With Matplotlib

Matplotlib is a drawing library that offers a wide variety of drawing methods for Python. Matplotlib; The basic python library we use in data visualization. It allows us to make 2 and 3 dimensional drawings. In order to use Matplotlib, we need to add it to our project as follows:

from matplotlib import pyplot as plt

The image is read as follows:

img = cv2.imread('bird.jpg') 

Finally, the captured image is displayed on the screen with the following code:

plt.imshow(img)
plt.xticks([])
, plt.yticks([])
plt.show()

Code and output are as follows:

import cv2
from matplotlib import pyplot as plt
img = cv2.imread(
'bird.jpg')
plt.imshow(img)
plt.xticks([])
, plt.yticks([])
plt.show()

Output:

 



Comments

Popular posts from this blog

Opencv Image Properties - rows, columns and channels, type of image data, number of pixels

Opencv Image Properties  OpenCV allows access to image properties. These properties are rows, columns and channels, type of image data, number of pixels. The img.shape command is used to access the shape of the image. Returns rows, columns and channels. import  cv2 img = cv2.imread( 'flower.jpg' ) print (img.shape) Result: (400, 400, 3) The data type of the image is obtained with img.dtype import cv2 img = cv2.imread( 'flower.jpg' ) print (img.dtype) Result: uint8

OpenCV Add Border to Image in Python

How to add border to image in python? To create a frame around the image, the function cv2.copyMakeBorder () is used. This function takes the following arguments: src - login image top, bottom, left, right - edge width in number of pixels in corresponding directions borderType - defines what type of border to add. There may be the following types cv2.BORDER_CONSTANT  cv2.BORDER_REFLECT - cv2.BORDER_REFLECT_101 cv2.BORDER_REPLICATE cv2.BORDER_WRAP  value  - Color of border if border type is cv2.BORDER_CONSTANT import cv2 import numpy as np from matplotlib import pyplot as plt BLUE = [ 255 , 0 , 0 ] img1 = cv2.imread( 'flower.jpg' ) replicate = cv2.copyMakeBorder(img1 , 10 , 10 , 10 , 10 , cv2.BORDER_REPLICATE) reflect = cv2.copyMakeBorder(img1 , 10 , 10 , 10 , 10 , cv2.BORDER_REFLECT) reflect101 = cv2.copyMakeBorder(img1 , 10 , 10 , 10 , 10 , cv2.BORDER_REFLECT_101) wrap = cv2.copyMakeBorder(img1 , 10 , 10 , 10 , 10 , cv2.BORDER_WRAP) constant= cv2.copyMakeBorder(img1 ...