Write a code to detect constellation in an image; I want to use OpenCV, read a sky.jpg file, detect stars and then connect constellations with lines based on nearest stars.

Sure, here is some sample code that demonstrates how you can detect constellations in an image using OpenCV: Copy code `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.