def __init__(self):
KeypointsObjectDetector.__init__(self)
self._cascadeROI = OptimalROIDetectorSAoS()
self._eyeROI = CascadesDetectionInterface(loadScript("main_haarcascade_eyes_union.json", True))
self._database = []
self._etalon = []
self._prob = 100
with open('keypoints.conf', 'r') as f:
self._coff = float(f.read().replace('\n', ''))
def importSettings(self, settings):
if len(settings.keys()) > 0:
logger.info("Settings loading started...")
self.kodsettings.importSettings(settings['KODSettings'])
self.kodsettings.dump()
if self._cascadeROI is None:
self._cascadeROI = OptimalROIDetectorSAoS()
if self._eyeROI is None:
self._eyeROI = CascadesDetectionInterface(loadScript("main_haarcascade_eyes_union.json", True))
logger.info("Settings loading finished.")
return True
return False
def __init__(self):
self._d = 100
self._face_classifier = CascadeROIDetector()
settings = CascadeClassifierSettings()
settings.minNeighbors = 1
settings.minSize = (100, 100)
self._face_classifier.classifierSettings = settings
self._face_classifier.add_cascade(
os.path.join(CASCADES_PATH, "haarcascade_frontalface_alt.xml"))
self._face_classifier.add_cascade(
os.path.join(CASCADES_PATH,
"haarcascade_frontalface_alt_tree.xml"))
self._face_classifier.add_cascade(
os.path.join(CASCADES_PATH, "haarcascade_frontalface_alt2.xml"))
self._face_classifier.add_cascade(
os.path.join(CASCADES_PATH, "haarcascade_frontalface_default.xml"))
self._detector = RotatedCascadesDetector(
loadScript(
os.path.join(SCRIPTS_PATH,
"main_rotation_haarcascade_face_eyes.json")),
loadScript(
os.path.join(SCRIPTS_PATH, "main_haarcascade_face_size.json")))