def cameraStream():
camera = picamera.PiCamera()
camera.vflip = True
fFace1 = cv2.CascadeClassifier(
'/home/pi/Downloads/opencv-3.0.0/data/haarcascades/haarcascade_frontalface_alt.xml'
)
fFace2 = cv2.CascadeClassifier(
'/home/pi/Downloads/opencv-3.0.0/data/haarcascades_cuda/haarcascade_frontalface_default.xml'
)
pFace = cv2.CascadeClassifier(
'/home/pi/Downloads/opencv-3.0.0/data/haarcascades_cuda/haarcascade_profileface.xml'
)
x = 0
while True:
filename = 'image' + str(x) + '.jpg'
camera.capture(filename)
image = np.asarray(cv2.imread(filename))
grayScale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
numFaces = len(fFace2.detectMultiScale(grayScale, 1.3, 4))
if numFaces > 0:
ftp.Upload(filename)
GPIO.output(start_stop, GPIO.LOW)
x += 1
os.remove(filename)
camera.close()
def faceDetector(filename):
#fFace1 = cv2.CascadeClassifier('/home/pi/Downloads/opencv-3.0.0/data/haarcascades/haarcascade_frontalface_alt.xml')
fFace2 = cv2.CascadeClassifier(
'/home/pi/Downloads/opencv-3.0.0/data/haarcascades_cuda/haarcascade_frontalface_default.xml'
)
#pFace = cv2.CascadeClassifier('/home/pi/Downloads/opencv-3.0.0/data/haarcascades_cuda/haarcascade_profileface.xml')
image = np.asarray(cv2.imread(filename))
grayScale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
numFaces = len(fFace2.detectMultiScale(grayScale, 1.75, 4))
if numFaces > 0:
print(numFaces)
ftp.Upload(filename)
GPIO.output(start_stop, GPIO.LOW)
os.remove(filename)
def faceDetector(filename):
"""Documentation for the faceDetector thread
Opens an image file and searches for a face by means of haarcascades. If a face is found it uploads the picture to the server.
It also changes the state of GPIO start_stop to LOW
"""
#fFace1 = cv2.CascadeClassifier('/home/pi/Downloads/opencv-3.0.0/data/haarcascades/haarcascade_frontalface_alt.xml')
fFace2 = cv2.CascadeClassifier(
'/home/pi/Downloads/opencv-3.0.0/data/haarcascades_cuda/haarcascade_frontalface_default.xml'
)
#pFace = cv2.CascadeClassifier('/home/pi/Downloads/opencv-3.0.0/data/haarcascades_cuda/haarcascade_profileface.xml')
image = np.asarray(cv2.imread(filename))
grayScale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
numFaces = len(fFace2.detectMultiScale(grayScale, 1.3, 4))
if numFaces > 0: #if there is a face
ftp.Upload(filename)
GPIO.output(start_stop, GPIO.LOW) #changes state of start_stop to LOW
os.remove(filename)
def faceDetector(filename):
"""Documentation for the faceDetector thread
Opens an image file and searches for a face by means of haarcascades. If a face is found it uploads the picture to the server.
It also changes the state of GPIO start_stop to LOW
"""
global isTakingPictures
fFace2 = cv2.CascadeClassifier(
'/home/pi/Downloads/opencv-3.0.0/data/haarcascades_cuda/haarcascade_frontalface_default.xml'
)
image = np.asarray(cv2.imread(filename))
grayScale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
numFaces = len(fFace2.detectMultiScale(grayScale, 1.3, 4))
if numFaces > 0: #if there is a face
Stop()
ftp.Upload(filename)
print('IMAGE')
WriteToServer('IMAGE ' + filename)
#isTakingPictures = False
os.remove(filename)
fFace1 = cv2.CascadeClassifier(
'/home/pi/Downloads/opencv-3.0.0/data/haarcascades/haarcascade_frontalface_alt.xml'
)
fFace2 = cv2.CascadeClassifier(
'/home/pi/Downloads/opencv-3.0.0/data/haarcascades_cuda/haarcascade_frontalface_default.xml'
)
pFace = cv2.CascadeClassifier(
'/home/pi/Downloads/opencv-3.0.0/data/haarcascades_cuda/haarcascade_profileface.xml'
)
x = 0
while time.time() < end:
filename = 'image' + str(x) + '.jpg'
camera.capture(filename)
image = np.asarray(cv2.imread(filename))
grayScale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
#numFaces = len(fFace1.detectMultiScale(grayScale, 1.2, 4))
numFaces = len(fFace2.detectMultiScale(grayScale, 1.3, 4))
#numFaces += len(pFace.detectMultiScale(grayScale, 1.1, 4))
if numFaces > 0:
ftp.Upload(filename)
x += 1
os.remove(filename)
print(numFaces)
camera.close()
exit(0)
