1.face.py

import cv2

# Choosing the "frontal_face" for detecting a face in webcam
face_cacades = cv2.CascadeClassifier(
    "Phase_7\HAAR_CASCADES\haarcascade_frontalface_default.xml"
)

cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # Detecting face using pre trained model
    faces = face_cacades.detectMultiScale(gray, 1.1, 5)

    """
    .detectMultiScale -> scan & detect objects (here - face)
    
    1.1 -> scalefactor ( how much zoom level to try out for detecting face)
            zoom in by 10% smaller
            
    5 -> minNeighbour count
            
    """
    for x, y, w, h in faces:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)

    cv2.imshow("Webcam Face", frame)
    if cv2.waitKey(1) & 0xFF == ord("q"):
        break

cap.release()
cv2.destroyAllWindows()