Amazing-Python-Scripts

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import cv2
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img_file = "Human.jpg"
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# trained human data  Link:"https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_fullbody.xml"
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classifier_Human = 'car_dect.xml'
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img = cv2.imread(img_file)  # create image reader
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# convert image black and white i.e. grayscale
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black_and_white = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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Human_detect = cv2.CascadeClassifier(classifier_Human)  # create classifier
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humans = Human_detect.detectMultiScale(black_and_white)  # detect cars
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for (
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        x, y, w, h
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) in cars:  # the above variable will return 4 cordinates i.e height,width,postionx,positiony
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    # this loop will create grren rectangle when car is detected
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    cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 3)
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cv2.imshow('Human image', img)  # display image
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cv2.waitKey()
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