webcapture.py

from facedetector import FaceDetector
import imutils
import argparse
import cv2

ap = argparse.ArgumentParser()
ap.add_argument("-f", "--face", required = True, help = "caminho para um classificador de faces")
ap.add_argument("-v", "--video", help = " caminho para um arquivo de vídeo")
args = vars( ap.parse_args() )

fd = FaceDetector( args["face"] )

if ( not args.get("video", False) ):
	camera = cv2.VideoCapture( 0 )
else:
	camera = cv2.VideoCapture( args["video"] )

while (True):
	(grabbed, frame) = camera.read()
	if ( args.get("video") and not grabbed ):
		break
	frame = imutils.resize(frame, width = 300)
	gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
	gray = cv2.Flip(gray, flipMode=-1)
	
	faceRects = fd.detect(gray, scaleFactor = 1.1, minNeighbors = 3, minSize = (30, 30))
	frameClone = frame.copy()
	for (fX, fY, fW, fH) in faceRects:
		cv2.rectangle(frameClone, (fX, fY), (fX + fW, fY + fH), (0, 255, 0), 2)
	cv2.imshow("Face", frameClone)
	if ( cv2.waitKey(1) & 0xFF == ord("q") ):
		break


camera.release()
cv2.destroyAllWindows()