메랜 매크로 기술: 이미지 인식 캐릭터 인식

        import cv2
        import numpy as np
        
        image = cv2.imread('minimap1.png')
        
        hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
        
        #yellow point 세팅
        lower_yellow = np.array([20, 180, 180])
        upper_yellow = np.array([30, 255, 255])
        
        mask = cv2.inRange(hsv_image, lower_yellow, upper_yellow)
        
        #yellow point  찾기
        contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
        
        target_color = np.array([25, 255, 255]) 
        
        min_distance = float('inf')
        best_contour = None
        best_center = None
        
        for contour in contours:
            shape_mask = np.zeros_like(mask)
            cv2.drawContours(shape_mask, [contour], -1, 255, thickness=cv2.FILLED)
        
            mean_color = cv2.mean(hsv_image, mask=shape_mask)[:3] 
        
            distance = np.linalg.norm(mean_color - target_color)
        
            if distance < min_distance:
                min_distance = distance
                best_contour = contour
        
                M = cv2.moments(contour)
                if M["m00"] != 0:
                    cX = int(M["m10"] / M["m00"])
                    cY = int(M["m01"] / M["m00"])
                    best_center = (cX, cY)
        
        if best_contour is not None:
            cv2.drawContours(image, [best_contour], -1, (0, 255, 0), 2)
            cv2.circle(image, best_center, 5, (0, 0, 255), -1)
        #yellow point  보여주기
        cv2.imshow('Closest Yellow Shape', image)
        cv2.waitKey(0)
        cv2.destroyAllWindows()