test.py

import numpy as np
import cv2

img = cv2.imread(r"C:\Users\Sivasthigan\PycharmProjects\droneproject\1.jpg")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, threshold = cv2.threshold(gray, 150, 255, cv2.THRESH_BINARY)
cv2.bitwise_not(threshold, threshold)
contours, hierarchy = cv2.findContours(threshold, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
listx = []
listy = []
points = [[400,0]]

for i in range(0, len(contours)):
    c = contours[i]
    size = cv2.contourArea(c)
    if size > 12:
        M = cv2.moments(c)
        cX = int(M["m10"] / M["m00"])
        cY = int(M["m01"] / M["m00"])
        points.append([cX, cY])
        cv2.circle(img, (cX, cY), 5, (255, 0, 0), 10)
        listx.append(cX)
        listy.append(cY)

        if len(points) >= 2:
            # joins the current point and
            # the previous point in the
            # list with a line
            cv2.line(img, points[-1], points[-2],
                     (0, 255, 255), 5)
            a=points[-1]
            x1=a[0]
            y1=a[1]
            b=points[-2]
            x2=b[0]
            y2=b[1]
            distance = np.sqrt((x1-x2)**2 + (y1-y2)**2)
            print(distance)





        # displays the image
        cv2.imshow('image', img)





img = np.zeros((512, 512, 3),
               np.uint8)

cv2.waitKey(0)