How to Draw Bounding Box in OpenCV Python

You can draw a bounding box in OpenCV Python by following the given steps. I highly recommend you get the “Computer Vision: Models, Learning, and Inference Book” to learn Computer Vision.

How to Draw Bounding Box in OpenCV Python
How to Draw Bounding Box in OpenCV Python

Step 1

Import the OpenCV library. If OpenCV is not installed in your system then first install it using This Method.

import cv2 
#cv2 is used for OpenCV library

Step 2

Now read the image from the location. In my case “C:\\AiHints” is the location and “white.png” is the name of the image. Change it according to your image location and name.

image = cv2.imread("C:\\AiHints\\white.png")
#imread is use to read an image from a location
Figure: Different shapes on white background

Step 3

First, convert the image into grayscale and then apply the threshold.

gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
thresh_image = cv2.threshold(gray_image, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]

Step 4

Now find the contours for the objects/shapes present in the image.

contours = cv2.findContours(thresh_image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
contours = contours[0] if len(contours) == 2 else contours[1]

Step 5

Now use the contours to draw the bounding box.

for i in contours:
    x,y,w,h = cv2.boundingRect(i)
    cv2.rectangle(img, (x, y), (x + w, y + h), (255,0,0), 4)

Step 6

To display the image in a specified window use ”imshow” function.

cv2.imshow('Bounding Box', img)

Step 7

“waitKey(0)” will display a window until any key is pressed. “destroyAllWindows()” will destroy all the windows that we created.



Bounding Box using OpenCV

My Recommendations: Master Deep Learning with These Specializations

  1. Deep Learning Specialization
  2. TensorFlow Developer Professional Certificate
  3. TensorFlow: Advanced Techniques

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