Amazing-Python-Scripts

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# Face and Eye Detection
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import cv2
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# PATH of the FILE
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CLASSIFIER_PATH = "./Facedetection/v2/haarcascade_frontalface_default.xml"
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EYEDETECTION_PATH = "./Facedetection/v2/haarcascade_eye.xml"
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# Live video capturing
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cam = cv2.VideoCapture(0)
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# Initializing classifier
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face_classifier = cv2.CascadeClassifier(CLASSIFIER_PATH)
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EYE_DETECTION = cv2.CascadeClassifier(EYEDETECTION_PATH)
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while (True):
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    _, frame = cam.read()
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    # Converting to grayscale image
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    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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    # Returns coordinates of all faces in the frame
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    faces = face_classifier.detectMultiScale(gray, 1.3, 5)
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    # Cycle through each coordinate list
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    for (x, y, w, h) in faces:
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        # Extracting mid points of bounding box
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        mid_x = int(x + h/2)
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        mid_y = int(y + h/2)
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        # Drawing - "bounding box"
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        frame = cv2.rectangle(frame, (x, y), (x + h, y + h), (255, 0, 0), 2)
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        # 'x-coordinate' on live feed
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        frame = cv2.putText(frame, str(x), (x, y),
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                            cv2.FONT_HERSHEY_DUPLEX, 0.7, (0, 0, 255), 2)
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        # "." represent mid part in face
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        frame = cv2.putText(frame, ".", (mid_x, mid_y),
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                            cv2.FONT_HERSHEY_DUPLEX, 0.7, (0, 0, 255), 2)
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        # Detects The Eyes
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        eyes = EYE_DETECTION.detectMultiScale(gray, 1.3, 5)
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        for (ex, ey, ew, eh) in eyes:
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            cv2.rectangle(frame, (ex, ey), (ex+eh, ey+eh), (0, 255, 0), 2)
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    # Displaying video feed with detected faces
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    cv2.imshow('Frame', frame)
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    # Reading for keyboard interrupts
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    key = cv2.waitKey(1)
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    if (key == 27):
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        break
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cam.release()
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cv2.destroyAllWindows()
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