How to Detect Shapes in Images in Python using OpenCV

 

How to Detect Shapes in Images in Python using OpenCV




import numpy as np
import matplotlib.pyplot as plt
import cv2
import sys

# read the image from arguments
image = cv2.imread(r'G:\PARAS\anuradha.png')

# convert to grayscale
grayscale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# perform edge detection
edges = cv2.Canny(grayscale, 30, 100)

# detect lines in the image using hough lines technique
lines = cv2.HoughLinesP(edges, 1, np.pi/180, 60, np.array([]), 50, 5)
# iterate over the output lines and draw them
for line in lines:
for x1, y1, x2, y2 in line:
cv2.line(image, (x1, y1), (x2, y2), color=(20, 220, 20), thickness=3)

# show the image
plt.imshow(image)
plt.show()



Comments

Popular posts from this blog

Python to automate What's App messages

Install WAMP server to run python

Building RESTful APIs with Flask in PyCharm