Machine Learning Tutorials, Courses and Certifications
Reading Image as Color or GrayScale Image in Python using OpenCV¶
In this article, we’ll try to open an image by using OpenCV (Open Source Computer Vision). To use the OpenCV library in python, we need to install these libraries as a prerequisite:
- Numpy Library (Necessary, because OpenCV uses it in the background).
- OpenCV python
To install these libraries, we need to run these pip commands in cmd:
- pip install opencv-python
- pip install numpy
- pip install matplotlib
Functions you need to understand¶
- Read an image from file (using cv::imread)
- Display an image in an OpenCV window (using cv::imshow)
- Write an image to a file (using cv::imwrite)
Reading a GrayScale Image in Python using OpenCV¶
In [5]:
import cv2
img = cv2.imread('machinelearning.png',cv2.IMREAD_GRAYSCALE)
cv2.imshow('Machine Learning',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
Note: Instead of writng cv2.IMREAD_GRAYSCALE, write 0 to read image as GrayScale image
In [2]:
import cv2
img = cv2.imread('machinelearning.png',0)
cv2.imshow('Machine Learning',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
Reading a Color Image in Python using OpenCV¶
In [3]:
import cv2
img = cv2.imread('machinelearning.png',cv2.IMREAD_COLOR)
cv2.imshow('Machine Learning',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
Note: Instead of writng cv2.IMREAD_COLOR, write 1 to read image as color image
In [4]:
import cv2
img = cv2.imread('machinelearning.png',1)
cv2.imshow('Machine Learning',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
