def process_image(self, image):
"""Process an image."""
try:
detections = self._api.detect(image)
self.faces = hound.get_faces(detections)
self.people = hound.get_people(detections)
metadata = hound.get_metadata(detections)
self._image_width = metadata["image_width"]
self._image_height = metadata["image_height"]
self._state = len(self.people)
if self._state > 0:
self._last_detection = dt_util.now().strftime(DATETIME_FORMAT)
if hasattr(self, "_save_file_folder") and self._state > 0:
self.save_image(image, self.people, self.faces,
self._save_file_folder)
for face in self.faces:
self.fire_face_detected_event(face)
for person in self.people:
self.fire_person_detected_event(person)
except hound.SimplehoundException as exc:
_LOGGER.error(str(exc))
self.faces = []
self.people = []
self._image_width = None
self._image_height = None
def process_image(self, image):
"""Process an image."""
self._plates = []
self._color = []
self._make = []
self._model = []
self._vehicle_type = []
detections = self._api.recognize(image, "vehicle,licenseplate")
vehicles = hound.get_vehicles(detections)
self._state = len(vehicles)
if self._state > 0:
self._last_detection = dt_util.now().strftime(DATETIME_FORMAT)
metadata = hound.get_metadata(detections)
self._image_width = metadata["image_width"]
self._image_height = metadata["image_height"]
for vehicle in vehicles:
self.fire_vehicle_detected_event(vehicle)
self._plates.append(vehicle["licenseplate"])
self._color.append(vehicle["color"])
self._make.append(vehicle["make"])
self._model.append(vehicle["model"])
self._vehicle_type.append(vehicle["vehicleType"])
if self._save_file_folder:
if self._state > 0 or self._always_save_latest_jpg:
self.save_image(image, vehicles, self._save_file_folder)
def process_image(self, image):
"""Process an image."""
detections = self._api.detect(image)
people = hound.get_people(detections)
self._state = len(people)
metadata = hound.get_metadata(detections)
self._image_width = metadata["image_width"]
self._image_height = metadata["image_height"]
for person in people:
self.fire_person_detected_event(person)
def process_image(self, image):
"""Process an image."""
detections = self._api.detect(image)
people = hound.get_people(detections)
self._state = len(people)
if self._state > 0:
self._last_detection = dt_util.now().strftime(DATETIME_FORMAT)
metadata = hound.get_metadata(detections)
self._image_width = metadata["image_width"]
self._image_height = metadata["image_height"]
for person in people:
self.fire_person_detected_event(person)
if self._save_file_folder and self._state > 0:
self.save_image(image, people, self._save_file_folder)
def process_image(self, image):
"""Process an image."""
detections = self._api.recognize(image, "vehicle,licenseplate")
vehicles = hound.get_vehicles(detections)
self._state = len(vehicles)
if self._state > 0:
self._last_detection = dt_util.now().strftime(DATETIME_FORMAT)
metadata = hound.get_metadata(detections)
self._image_width = metadata["image_width"]
self._image_height = metadata["image_height"]
for vehicle in vehicles:
self.fire_vehicle_detected_event(vehicle)
if self._save_file_folder:
if self._state > 0 or self._always_save_latest_jpg:
self.save_image(image, vehicles, self._save_file_folder)
def process_image(self, image):
"""Process an image."""
self._age = []
self._gender = []
detections = self._api.detect(image)
people = hound.get_people(detections)
faces = hound.get_faces(detections)
self._state = len(people)
if self._state > 0:
self._last_detection = dt_util.now().strftime(DATETIME_FORMAT)
metadata = hound.get_metadata(detections)
self._image_width = metadata["image_width"]
self._image_height = metadata["image_height"]
for person in people:
self.fire_person_detected_event(person)
if self._save_file_folder:
if self._state > 0 or self._always_save_latest_jpg:
self.save_image(image, people, self._save_file_folder)
for face in faces:
self._age.append(face["age"])
self._gender.append(face["gender"])
def test_get_metadata():
assert hound.get_metadata(DETECTIONS) == METADATA