def __init__(self, video_src, dst_dir, subject_name, face_sz=(130,130), cascade_fn="/home/philipp/projects/opencv2/OpenCV-2.3.1/data/haarcascades/haarcascade_frontalface_alt2.xml"): self.dst_dir = dst_dir self.subject_name = subject_name self.face_sz = face_sz self.cam = create_capture(video_src) self.detector = CascadedDetector(cascade_fn=cascade_fn, minNeighbors=5, scaleFactor=1.1) self.stored = 0
def __init__(self, model, camera_id, cascade_filename, video_file):
self.model = model
self.detector = CascadedDetector(cascade_fn=cascade_filename,
minNeighbors=5,
scaleFactor=1.1)
self.TagGenerator = TagGenerator()
self.video_file = video_file
def __init__(self, model, camera_id, cascade_filename):
self.model = model
self.detector = CascadedDetector(cascade_fn=cascade_filename,
minNeighbors=5,
scaleFactor=1.1)
self.cam = create_capture(camera_id)
self.cap = cv2.VideoCapture('http://localhost:8080/stream.ogg')
self.fajl = open("../web/data.txt", 'w+')
def __init__(
self,
video_src,
dataset_fn,
face_sz=(130, 130),
cascade_fn="/home/philipp/projects/opencv2/OpenCV-2.3.1/data/haarcascades/haarcascade_frontalface_alt2.xml"
):
self.face_sz = face_sz
self.cam = create_capture(video_src)
ret, self.frame = self.cam.read()
self.detector = CascadedDetector(cascade_fn=cascade_fn,
minNeighbors=5,
scaleFactor=1.1)
# define feature extraction chain & and classifier)
feature = ChainOperator(TanTriggsPreprocessing(), LBP())
classifier = NearestNeighbor(dist_metric=ChiSquareDistance())
# build the predictable model
self.predictor = PredictableModel(feature, classifier)
# read the data & compute the predictor
self.dataSet = DataSet(filename=dataset_fn, sz=self.face_sz)
self.predictor.compute(self.dataSet.data, self.dataSet.labels)
def __init__(self, model, camera_id, cascade_filename):
signal.signal(signal.SIGINT, self.shutdown)
self.model = model
self.detector = CascadedDetector(cascade_fn=cascade_filename,
minNeighbors=5,
scaleFactor=1.1)
try:
self.cam = create_capture(camera_id)
except:
to_node("error", "Camera '%s' unable to connect." % camera_id)
sys.exit()
self.user = None
self.faces = None
self.has_changed = {"face_count": False, "user": False}
to_node(
"status", {
"camera": str(camera_id),
"model": str(model),
"detector": str(self.detector)
})
def __init__(self, model, camera_id, cascade_filename):
self.model = model
self.detector = CascadedDetector(cascade_fn=cascade_filename,
minNeighbors=5,
scaleFactor=1.1)
self.cam = create_capture(camera_id)
def __init__(self, model, camera_id, cascade_filename):
self.model = model
self.detector = CascadedDetector(cascade_fn=cascade_filename, minNeighbors=5, scaleFactor=1.1)
#self.cam = create_capture(camera_id)
self.cap = cv2.VideoCapture('http://192.168.0.231:8080/stream.ogg')
