Python Otonom aracın siyah kablo hattını takip etmesi için kod yazmak

İmport CV2.
İmport numpy as np.

Def detect_shapes(image):
 Gray = CV2.cvtcolor(image, CV2.color_bgr2gray)
 Blurred = CV2.gaussianblur(gray, (5, 5), 0)
 Edges = CV2.canny(blurred, 50, 150)
 Contours, _ = CV2.findcontours(edges, CV2.retr_external, CV2.chaın_approx_sımple)

 For contour in contours:
 İf CV2.contourarea(contour) < 500: # küçük konturları yok say.
 Continue.

 Approx = CV2.approxpolydp(contour, 0.04 * CV2.arclength(contour, true), true)
 X, Y, W, h = CV2.boundingrect(approx)
 Shape_name = "unknown"

 İf len(approx) == 3:
 Shape_name = "triangle"
 Elif len(approx) == 4:
 Shape_name = "square"
 Elif len(approx) == 5:
 Shape_name = "pentagon"
 Elif len(approx) == 6:
 Shape_name = "hexagon"
 Else:
 Shape_name = "circle"

 CV2.puttext(image, shape_name, (X, y - 10), CV2.font_hershey_sımplex, 0.6, (0, 255, 0), 2)
 CV2.drawcontours(image, [approx], -1, (0, 255, 0), 2)

Def main():
 # -- Coding: Utf-8 --

 İmage_path = "C:\\Users\\a.jpg"

 İmage = CV2.imread(image_path)

 İf image is none:
 Print("resim yüklenemedi!")
 Return.

 Detect_shapes(image)

 CV2.imshow("shape detection", image)
 CV2.waitkey(0)
 cv2.destroyAllWindows()

İf name == "main":
 main()

import

İmport

import cv2
import numpy as np


def detect_shapes(image):
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    blurred = cv2.GaussianBlur(gray, (5, 5), 0)
    edges = cv2.Canny(blurred, 50, 150)
    contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)


    for contour in contours:
        if cv2.contourArea(contour) < 500:  # küçük konturları yok say.
            continue


        approx = cv2.approxPolyDP(contour, 0.04 * cv2.arcLength(contour, True), True)
        x, y, w, h = cv2.boundingRect(approx)
        shape_name = "unknown"


        if len(approx) == 3:
            shape_name = "triangle"
        elif len(approx) == 4:
            shape_name = "square"
        elif len(approx) == 5:
            shape_name = "pentagon"
        elif len(approx) == 6:
            shape_name = "hexagon"
        else:
            shape_name = "circle"


        cv2.putText(image, shape_name, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
        cv2.drawContours(image, [approx], -1, (0, 255, 0), 2)


def main():
    # -- Coding: utf-8 --


    image_path = "C:\\Users\\a.jpg"


    image = cv2.imread(image_path)


    if image is None:
        print("Resim yüklenemedi!")
        return


    detect_shapes(image)


    cv2.imshow("Shape Detection", image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()


if __name__ == "__main__":
    main()