identificacao-rostos.py

import numpy as np
import cv2, os
face_cascade = cv2.CascadeClassifier('cascade/haarcascades/haarcascade_frontalface_alt2.xml')
cap = cv2.VideoCapture(0)
while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)
    for (x, y, w, h) in faces:
        print(x,y,w,h)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = frame[y:y+h, x:x+w]
        img_item = "my-image.png"
        cv2.imwrite(img_item, roi_gray)
color = (255, 0, 0)
        stroke = 2
        cv2.rectangle(frame, (x, y), (x+w, y+h), color, stroke)
    # Display the resulting frame
    cv2.imshow('frame',frame)
    if cv2.waitKey(20) & 0xFF == ord('q'):
        break
# When everythin done, release the caputre
cap.release()
cv2.destroyAllWindows()
os.system("open my-image.png")