def get_mood(self, uid):
picture_model_service = PictureModelService()
picture = picture_model_service.find_by_key(uid)
if picture is not None and picture.mood_process is not None:
return picture.mood_process
else:
return []
def get_mood(self, uid):
picture_model_service = PictureModelService()
picture = picture_model_service.find_by_key(uid)
if picture is not None and picture.mood_process is not None:
return picture.mood_process
else:
return []
def perfom_mood_detection(self, uid):
picture_model_service = PictureModelService()
picture = picture_model_service.find_by_key(uid)
if picture is None or picture.image_path is None:
return []
mood_process = MoodProcess()
mood_process.startDate = datetime.datetime.utcnow()
# extract features and landmarks
feature_landmarks = self.extractor.extract_with_landmark(picture.image_path)
# for each feature/landmark predict mood and convert landmark to points
for feature_landmark in feature_landmarks:
face = Face()
mood = self.classifier.predict(feature_landmark.features)
face.mood = const.moods[int(mood[0])]
face.points = self.convert2points(feature_landmark.landmark)
mood_process.faces.append(face)
mood_process.endDate = datetime.datetime.utcnow()
picture.mood_process = mood_process
# save picture model
picture_model_service.save(picture)
return picture.mood_process
def perfom_mood_detection(self, uid):
picture_model_service = PictureModelService()
picture = picture_model_service.find_by_key(uid)
if picture is None or picture.image_path is None:
return []
mood_process = MoodProcess()
mood_process.startDate = datetime.datetime.utcnow()
# extract features and landmarks
feature_landmarks = self.extractor.extract_with_landmark(
picture.image_path)
# for each feature/landmark predict mood and convert landmark to points
for feature_landmark in feature_landmarks:
face = Face()
mood = self.classifier.predict(feature_landmark.features)
face.mood = const.moods[int(mood[0])]
face.points = self.convert2points(feature_landmark.landmark)
mood_process.faces.append(face)
mood_process.endDate = datetime.datetime.utcnow()
picture.mood_process = mood_process
# save picture model
picture_model_service.save(picture)
return picture.mood_process
