curve_detection.py

import cv2
import argparse
import numpy as np
import math

def read_image(image_path):
    img = cv2.imread(image_path)
    if img is None:
        raise IOError(f"Image {image_path} not found.")
    return img

def intersection(line1, line2):
    rho1, theta1 = line1[0]
    rho2, theta2 = line2[0]
    A = np.array([[np.cos(theta1), np.sin(theta1)], [np.cos(theta2), np.sin(theta2)]])
    b = np.array([[rho1], [rho2]])
    x0, y0 = np.linalg.solve(A, b)
    return int(np.round(x0)), int(np.round(y0))

def segmented_intersections(lines):
    intersections = []
    for i, group in enumerate(lines[:-1]):
        for next_group in lines[i+1:]:
            for line1 in group:
                for line2 in next_group:
                    intersections.append(intersection(line1, line2))
    return intersections

# Add other functions here (segment_by_angle_kmeans, drawLines)

def main(image_path):
    img = read_image(image_path)
    og = img.copy()
    clean = img.copy()

    # Add the code to process the image here

    cv2.imshow("Segmented lines", img_with_segmented_lines)
    cv2.waitKey()
    cv2.imwrite("intersection_points.jpg", img_with_segmented_lines)

    cv2.imshow("End result", og)
    cv2.waitKey()
    cv2.destroyAllWindows()

if __name__ == "__main__":
    ap = argparse.ArgumentParser()
    ap.add_argument("-i", "--image", required=True, help="Path to the image")
    args = vars(ap.parse_args())
    main(args["image"])