import cv2
import numpy as np
import sys

def detect_circle(image_path, output_path):
    img = cv2.imread(image_path)
    if img is None:
        print("Image not found")
        sys.exit(1)
        
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    gray = cv2.medianBlur(gray, 5)
    
    rows = gray.shape[0]
    circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, rows / 8,
                               param1=100, param2=30,
                               minRadius=int(rows / 4), maxRadius=int(rows / 1.5))
    
    if circles is not None:
        circles = np.uint16(np.around(circles))
        for i in circles[0, :]:
            center = (i[0], i[1])
            # Circle center
            cv2.circle(img, center, 1, (0, 100, 100), 3)
            # Circle outline
            radius = i[2]
            cv2.circle(img, center, radius, (255, 0, 255), 3)
            print(f"Detected circle: center={center}, radius={radius}")
            
        cv2.imwrite(output_path, img)
        print(f"Saved detection to {output_path}")
    else:
        print("No circles detected.")

if __name__ == "__main__":
    detect_circle(sys.argv[1], sys.argv[2])