Computer-Vision---Carlos-Ramirez/ComputerVisionExample.py at main · ramirezmorac2/Computer-Vision---Carlos-Ramirez · GitHub

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import cv2

# Load Haar Cascade classifiers for face, eyes, smile, and profile face detection
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_eye.xml')
smile_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_smile.xml')
profileface_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_profileface.xml')

# Start video capture from the default webcam (index 0)
cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    if not ret:
        break
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    # Detect frontal faces in the grayscale frame
    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=5)
    # Detect profile faces in the grayscale frame
    profiles = profileface_cascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=5)


    for (x, y, w, h) in faces:
        # Draw a blue rectangle around the detected face
        cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = frame[y:y+h, x:x+w]
        # Detect eyes within the face region
        eyes = eye_cascade.detectMultiScale(roi_gray, scaleFactor=1.1, minNeighbors=5)
        for (ex, ey, ew, eh) in eyes:
            cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2)
        # Detect smiles within the face region
        smiles = smile_cascade.detectMultiScale(roi_gray, scaleFactor=1.7, minNeighbors=22, minSize=(25, 25))
        for (sx, sy, sw, sh) in smiles:
            cv2.rectangle(roi_color, (sx, sy), (sx+sw, sy+sh), (0, 255, 255), 2)
            cv2.putText(frame, 'Smiling', (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0,255,255), 2)
            break

    for (x, y, w, h) in profiles:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 128, 255), 2)
        cv2.putText(frame, 'Profile', (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0,128,255), 2)
    # Display the resulting frame with detections
    cv2.imshow('Face and Eye Detector', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()