September 2015
Intermediate to advanced
266 pages
5h 38m
English
Content preview from Learning OpenCV 3 Computer Vision with Python (Update)
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Contours – bounding box, minimum area rectangle, and minimum enclosing circle
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 ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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