Sure, here is some sample code that demonstrates how you can detect constellations in an image using OpenCV:
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`import cv2 import numpy as np # Read the image and convert it to grayscale image = cv2.imread('sky.jpg') gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # Detect stars in the image using the brightness threshold threshold = 100 stars = np.where(gray > threshold, 255, 0) # Find the coordinates of all the stars in the image indices = np.argwhere(stars == 255) # Connect the stars using lines based on nearest stars for i, coord in enumerate(indices): x1, y1 = coord for j, coord in enumerate(indices): if i != j: x2, y2 = coord cv2.line(image, (x1, y1), (x2, y2), (255, 0, 0), 2) # Display the image with the constellations cv2.imshow('Constellations', image) cv2.waitKey(0)`
This code reads an image file called "sky.jpg", converts it to grayscale, and detects stars using a brightness threshold. It then connects the stars using lines based on nearest stars. Finally, it displays the image with the constellations.
I hope this helps! Let me know if you have any questions.
