You can easily find contours in OpenCV Python with the following steps.
- Install the OpenCV library
- Import the OpenCV
- Read the Image
- Convert Image into GrayScale
- Convert Grayscale Image into Black and White
- Find Contours using function
- Draw Contours
- Display Output Image with Contours
Step 1
First, install the OpenCV library if it is not installed using this code.
pip install opencv-python
Find Contours using OpenCV
# Import the required libraries
import cv2
import numpy as np
# Read the image
img =cv2.imread('shapes.jpg')
# Convert the image into GrayScale
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Convert the Grayscale image into Black and White
_,binary_img = cv2.threshold(gray_img, 100, 255, cv2.THRESH_BINARY)
# Find Contours
contours, hierarchy = cv2.findContours(binary_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# Draw Contours
drawing = np.zeros((gray_img.shape[0], gray_img.shape[1], 3), dtype=np.uint8)
countours_img = cv2.drawContours(drawing,contours, -1, (255,255,0),3)
# Display the Output
cv2.imshow('Original Image',img)
cv2.imshow('Image with Contours',countours_img )
# Destroy all the windows
cv2.waitKey(0)
cv2.destroyAllWindows()
I highly recommend you get the “Computer Vision: Models, Learning, and Inference Book” to learn Computer Vision.
