Python OpenCV – cv2.rotate() method

OpenCV-Python is a library of Python bindings designed to solve computer vision problems. cv2.rotate() method is used to rotate a 2D array in multiples of 90 degrees. The function cv::rotate rotates the array in three different ways.

Syntax: cv2.cv.rotate( src, rotateCode[, dst] )

Parameters:
src: It is the image whose color space is to be changed.
rotateCode: It is an enum to specify how to rotate the array.
dst: It is the output image of the same size and depth as src image. It is an optional parameter.

Return Value: It returns an image.

Image used for all the below examples:

Example #1: Rotate by 90 degrees clockwise

# Python program to explain cv2.rotate() method

# importing cv2
import cv2

# path
path = r'C:\Users\user\Desktop\geeks14.png'

# Reading an image in default mode
src = cv2.imread(path)

# Window name in which image is displayed
window_name = 'Image'

# Using cv2.rotate() method
# Using cv2.ROTATE_90_CLOCKWISE rotate
# by 90 degrees clockwise
image = cv2.rotate(src, cv2.cv2.ROTATE_90_CLOCKWISE)

# Displaying the image
cv2.imshow(window_name, image)
cv2.waitKey(0)

Output:

Example #2: Rotate by 180 degrees clockwise

# Python program to explain cv2.rotate() method

# importing cv2
import cv2

# path
path = r'C:\Users\user\Desktop\geeks14.png'

# Reading an image in default mode
src = cv2.imread(path)

# Window name in which image is displayed
window_name = 'Image'

# Using cv2.rotate() method
# Using cv2.ROTATE_180 rotate by
# 180 degrees clockwise
image = cv2.rotate(src, cv2.ROTATE_180)

# Displaying the image
cv2.imshow(window_name, image)
cv2.waitKey(0)

Output:

Example #3: Rotate by 270 degrees clockwise

# Python program to explain cv2.rotate() method

# importing cv2
import cv2

# path
path = r'C:\Users\user\Desktop\geeks14.png'

# Reading an image in default mode
src = cv2.imread(path)

# Window name in which image is displayed
window_name = 'Image'

# Using cv2.rotate() method
# Using cv2.ROTATE_90_COUNTERCLOCKWISE
# rotate by 270 degrees clockwise
image = cv2.rotate(src, cv2.ROTATE_90_COUNTERCLOCKWISE)

# Displaying the image
cv2.imshow(window_name, image)
cv2.waitKey(0)

Output: