import numpy as np
import cv2

img =cv2.imread("detect.jpg",1)
gray=cv2.cvtColor(img,cv2.COLOR_RGB2GRAY)
thresh=cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,115,1)
cv2.imshow("BINARY",thresh)
_, contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

img2 = img.copy()
index =-1
thickness =4
color =(255, 0, 255)

cv2.drawContours(img2, contours, index, index,color, thickness)
cv2.imshow("Contours",img2)

cv2.waitKey(0)
cv2.destroyAllWindows()
