Finding the contours of a square is a simple task; irregular, skewed, and rotated shapes bring the best out of the
cv2.findContours utility function of OpenCV. Let's take a look at the following image:
In a real-life application, we would be most interested in determining the bounding box of the subject, its minimum enclosing rectangle, and its circle. The
cv2.findContours function in conjunction with a few other OpenCV utilities makes this very easy to accomplish:
import cv2 import numpy as np img = cv2.pyrDown(cv2.imread("hammer.jpg", cv2.IMREAD_UNCHANGED)) ret, thresh ...