Python OpenCV: Rotate Images Using cv2.rotate()

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It is easy to rotate images in opencv. In this tutorial, we will introduce how to use cv2.rotate() to implement it.

Meanwhile, we also can use cv2.warpAffine() to rotate images.

Rotating an Image Using cv2.warpAffine() in Python OpenCV

Python OpenCV - Rotate Images Using cv2.rotate() for Beginners

1.Open an image

import cv2

img = cv2.imread('data/src/lena.jpg')
print(type(img))
# <class 'numpy.ndarray'>

print(img.shape)
# (225, 400, 3)

2.Rotate images with

  • cv2.ROTATE_90_CLOCKWISE
  • cv2.ROTATE_90_COUNTERCLOCKWISE
  • cv2.ROTATE_180
img_rotate_90_clockwise = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
cv2.imwrite('data/dst/lena_cv_rotate_90_clockwise.jpg', img_rotate_90_clockwise)
# True

img_rotate_90_counterclockwise = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE)
cv2.imwrite('data/dst/lena_cv_rotate_90_counterclockwise.jpg', img_rotate_90_counterclockwise)
# True

img_rotate_180 = cv2.rotate(img, cv2.ROTATE_180)
cv2.imwrite('data/dst/lena_cv_rotate_180.jpg', img_rotate_180)
# True

Run this code, you will see three rotated images:

Python OpenCV - Rotate Images Using cv2.rotate()