detectionface.py

from __future__ import print_function
import cv2 as cv
import argparse

def detectAndDisplay(frame):
    frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
    frame_gray = cv.equalizeHist(frame_gray)

    # Detect faces
    faces = face_cascade.detectMultiScale(frame_gray)
    for (x, y, w, h) in faces:
        center = (x + w // 2, y + h // 2)
        frame = cv.ellipse(frame, center, (w // 2, h // 2), 0, 0, 360, (255, 0, 255), 4)
        faceROI = frame_gray[y:y + h, x:x + w]

        # In each face, detect eyes
        eyes = eyes_cascade.detectMultiScale(faceROI)
        for (x2, y2, w2, h2) in eyes:
            eye_center = (x + x2 + w2 // 2, y + y2 + h2 // 2)
            radius = int(round((w2 + h2) * 0.25))
            frame = cv.circle(frame, eye_center, radius, (255, 0, 0), 4)

        mouth = mouth_cascade.detectMultiScale(faceROI, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
        for (x2, y2, w2, h2) in mouth:
            mouth_center = (x + x2 + w2 // 2, y + y2 + h2 // 2)
            radius = int(round((w2 + h2) * 0.25))
            frame = cv.circle(frame, mouth_center, radius, (0, 255, 0), 4)
            break  
        
    cv.imshow('Capture - Face detection', frame)

parser = argparse.ArgumentParser(description='Code teste pour la dectection faciale.')
parser.add_argument('--face_cascade', help='Path to face cascade.', default='data/haarcascades/haarcascade_frontalface_alt.xml')
parser.add_argument('--eyes_cascade', help='Path to eyes cascade.', default='data/haarcascades/haarcascade_eye_tree_eyeglasses.xml')
parser.add_argument('--mouth_cascade', help='Path to mouth cascade.', default='data/haarcascades/haarcascade_smile.xml')
parser.add_argument('--camera', help='Camera divide number.', type=int, default=0)
args = parser.parse_args()

face_cascade_name = args.face_cascade
eyes_cascade_name = args.eyes_cascade
mouth_cascade_name = args.mouth_cascade

face_cascade = cv.CascadeClassifier()
eyes_cascade = cv.CascadeClassifier()
mouth_cascade = cv.CascadeClassifier()

# Load the cascades
if not face_cascade.load(cv.samples.findFile(face_cascade_name)):
    print('--(!)Error loading face cascade')
    exit(0)

if not eyes_cascade.load(cv.samples.findFile(eyes_cascade_name)):
    print('--(!)Error loading eyes cascade')
    exit(0)
    
if not mouth_cascade.load(cv.samples.findFile(mouth_cascade_name)):
    print('--(!)Error loading mouth cascade')
    exit(0)
camera_device = args.camera

# Read the video stream
cap = cv.VideoCapture(camera_device)
if not cap.isOpened():
    print('--(!)Error opening video capture')
    exit(0)

while True:
    ret, frame = cap.read()
    if frame is None:
        print('--(!) No captured frame -- Break!')
        break

    detectAndDisplay(frame)

    if cv.waitKey(10) == 27:
        break