mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-24 13:31:07 +00:00
5fd868c460
* Add algorithm to rotate image * Edit function to be compliant in Black and Flake8 formats * Add type hints in get_rotation() and enumerate() in loop
53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
from matplotlib import pyplot as plt
|
|
import numpy as np
|
|
import cv2
|
|
|
|
|
|
def get_rotation(
|
|
img: np.array, pt1: np.float32, pt2: np.float32, rows: int, cols: int
|
|
) -> np.array:
|
|
"""
|
|
Get image rotation
|
|
:param img: np.array
|
|
:param pt1: 3x2 list
|
|
:param pt2: 3x2 list
|
|
:param rows: columns image shape
|
|
:param cols: rows image shape
|
|
:return: np.array
|
|
"""
|
|
matrix = cv2.getAffineTransform(pt1, pt2)
|
|
return cv2.warpAffine(img, matrix, (rows, cols))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
# read original image
|
|
image = cv2.imread("lena.jpg")
|
|
# turn image in gray scale value
|
|
gray_img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
|
|
# get image shape
|
|
img_rows, img_cols = gray_img.shape
|
|
|
|
# set different points to rotate image
|
|
pts1 = np.float32([[50, 50], [200, 50], [50, 200]])
|
|
pts2 = np.float32([[10, 100], [200, 50], [100, 250]])
|
|
pts3 = np.float32([[50, 50], [150, 50], [120, 200]])
|
|
pts4 = np.float32([[10, 100], [80, 50], [180, 250]])
|
|
|
|
# add all rotated images in a list
|
|
images = [
|
|
gray_img,
|
|
get_rotation(gray_img, pts1, pts2, img_rows, img_cols),
|
|
get_rotation(gray_img, pts2, pts3, img_rows, img_cols),
|
|
get_rotation(gray_img, pts2, pts4, img_rows, img_cols),
|
|
]
|
|
|
|
# plot different image rotations
|
|
fig = plt.figure(1)
|
|
titles = ["Original", "Rotation 1", "Rotation 2", "Rotation 3"]
|
|
for i, image in enumerate(images):
|
|
plt.subplot(2, 2, i + 1), plt.imshow(image, "gray")
|
|
plt.title(titles[i])
|
|
plt.axis("off")
|
|
plt.subplots_adjust(left=0.0, bottom=0.05, right=1.0, top=0.95)
|
|
plt.show()
|