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Attend our Free Webinar on How to Nail Your Next Technical Interview

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How To Nail Your Next Tech Interview

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Python OpenCV | cv2.rectangle() Method

Attend our Free Webinar on How to Nail Your Next Technical Interview

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Our tried & tested strategy for cracking interviews
How FAANG hiring process works
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How you can accelerate your learnings

Python OpenCV | cv2.rectangle() Method

# Introduction to Python OpenCV cv2.rectangle() Method OpenCV (Open Source Computer Vision) is an open source library used to develop computer vision applications. It is a popular library used by developers to create computer vision applications. The cv2.rectangle() method is used to draw a rectangle on any image. This method is used to draw a rectangle on any image. It takes four arguments: the image object, the start point coordinates, the end point coordinates, and the color of the rectangle. This method draws the rectangle from the start point to the end point, with the specified color. The cv2.rectangle() method is extremely useful for drawing rectangles on any image, as it allows you to specify the starting and ending points, as well as the color of the rectangle. This makes it easy to draw rectangles of any size and color on any image.

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**cv2.rectangle() Method** The cv2.rectangle() method is a built-in function of the OpenCV library in Python that is used to draw a rectangle on an image. It takes four parameters which are the image, the starting coordinates for the rectangle, the ending coordinates for the rectangle, and the color of the rectangle. **Syntax:** `cv2.rectangle(image, start_point, end_point, color, thickness)` **Parameters:** - image: the image to be drawn on - start_point: the starting coordinates for the rectangle (tuple) - end_point: the ending coordinates for the rectangle (tuple) - color: the color of the rectangle (tuple) - thickness: the thickness of the line (int) **Sample Code:** ``` import cv2 # Load and display the image img = cv2.imread('sample_image.png') cv2.imshow('Image',img) # Draw a red rectangle on the image cv2.rectangle(img, (100,100), (600,400), (255,0,0), 3) # Show the image cv2.imshow('Image',img) # Wait for user to press any key cv2.waitKey(0) # Destroy all windows cv2.destroyAllWindows() ```