Affine transformation – OpenCV 3.4 with python 3 Tutorial 14
[python]
import cv2
import numpy as np
img = cv2.imread("grid.jpg")
rows, cols, ch = img.shape
cv2.circle(img, (83, 90), 5, (0, 0, 255), -1)
cv2.circle(img, (447, 90), 5, (0, 0, 255), -1)
cv2.circle(img, (83, 472), 5, (0, 0, 255), -1)
pts1 = np.float32([[83, 90], [447, 90], [83, 472]])
pts2 = np.float32([[0, 0], [447, 90], [150, 472]])
matrix = cv2.getAffineTransform(pts1, pts2)
result = cv2.warpAffine(img, matrix, (cols, rows))
cv2.imshow("Image", img)
cv2.imshow("Affine transformation", result)
cv2.waitKey(0)
cv2.destroyAllWindows()
[/python]
Files:

Hi there, I’m the founder of Pysource.
I’m a Computer Vision Consultant, developer and Course instructor.
I help Companies and Freelancers to easily and efficiently build Computer Vision Software.

Learn to build Computer Vision Software easily and efficiently.
This is a FREE Workshop where I'm going to break down the 4 steps that are necessary to build software to detect and track any object.
Sign UP for FREE