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import cv2

img_file = "Human.jpg"

# trained human data Link:"https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_fullbody.xml"

classifier_Human = 'car_dect.xml'

img = cv2.imread(img_file) # create image reader

# convert image black and white i.e. grayscale

black_and_white = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

Human_detect = cv2.CascadeClassifier(classifier_Human) # create classifier

humans = Human_detect.detectMultiScale(black_and_white) # detect cars

for (

x, y, w, h

) in cars: # the above variable will return 4 cordinates i.e height,width,postionx,positiony

# this loop will create grren rectangle when car is detected

cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 3)

cv2.imshow('Human image', img) # display image

cv2.waitKey()