我在python中有一个代码来识别我的脸,但现在我想识别我的脸并将我的名字存储在数据库中。
我的问题是,如何在python中执行此操作?有谁有任何例子?
这是代码:
import sys
import cv
class FaceDetect():
def __init__(self):
cv.NamedWindow ("CamDemo", 1)
device = 0
self.capture = cv.CaptureFromCAM(device)
capture_size = (320,200)
cv.SetCaptureProperty(self.capture, cv.CV_CAP_PROP_FRAME_WIDTH, capture_size[0])
cv.SetCaptureProperty(self.capture, cv.CV_CAP_PROP_FRAME_HEIGHT, capture_size[1])
def detect(self):
cv.CvtColor(self.frame, self.grayscale, cv.CV_RGB2GRAY)
# histograma
cv.EqualizeHist(self.grayscale, self.grayscale)
# detecta objetos
faces = cv.HaarDetectObjects(image=self.grayscale, cascade=self.cascade, storage=self.storage, scale_factor=1.2,\
min_neighbors=2, flags=cv.CV_HAAR_DO_CANNY_PRUNING)
if faces:
#print 'cara detectada!'
for i in faces:
if i[1] > 10:
cv.Circle(self.frame, ((2*i[0][0]+i[0][2])/2,(2*i[0][1]+i[0][3])/2), (i[0][2]+i[0][3])/4, (128, 255, 128), 2, 8, 0)
def run(self):
# verificar si el dispositivo de captura esta bien
if not self.capture:
print "Error opening capture device"
sys.exit(1)
self.frame = cv.QueryFrame(self.capture)
self.image_size = cv.GetSize(self.frame)
# create grayscale version
self.grayscale = cv.CreateImage(self.image_size, 8, 1)
# creando almacenamiento(storage)
self.storage = cv.CreateMemStorage(128)
self.cascade = cv.Load('haarcascade_frontalface_default.xml')
while 1:
# bucle infinito -> captura siempre
# captura cara
self.frame = cv.QueryFrame(self.capture)
if self.frame is None:
break
# ventana
cv.Flip(self.frame, None, 1)
# deteccion de cara
self.detect()
# mostrar webcam imagen
cv.ShowImage('CamDemo', self.frame)
# gestionar eventos
k = cv.WaitKey(10)
if k == 0x1b: # ESC
print ' Saliendo ...'
break
sys.exit(1)
if __name__ == "__main__":
print "Esc para salir"
face_detect = FaceDetect()
face_detect.run() `
答案 0 :(得分:4)
我不知道你是否想出来但是看看:
http://docs.opencv.org/trunk/modules/contrib/doc/facerec/tutorial/facerec_video_recognition.html
它肯定是您正在寻找的并且易于实施。这是对opencv项目的“新”加入,因此您可能需要更新opencv版本。
干杯