def get_static_detectors(self):
if DetectorTask._detectors is None:
DetectorTask._detectors = {
'coco_mobilenet':
detector.TFDetector(
model_path=model_path,
class_index_to_string=coco_class_index_to_string),
'face_mtcnn':
detector.FaceDetector()
}
return DetectorTask._detectors
def load_detector(self,cd):
if cd.pk not in DetectorTask._detectors:
if cd.detector_type == DeepModel.TFD:
DetectorTask._detectors[cd.pk] = detector.TFDetector(model_path=cd.get_model_path(),
class_index_to_string=cd.class_index_to_string)
elif cd.detector_type == DeepModel.YOLO:
DetectorTask._detectors[cd.pk] = detector.YOLODetector(cd.get_yolo_args())
elif cd.name == 'face':
DetectorTask._detectors[cd.pk] = detector.FaceDetector()
elif cd.name == 'textbox':
DetectorTask._detectors[cd.pk] = detector.TextBoxDetector(model_path=cd.get_model_path())
else:
raise ValueError,"{}".format(cd.pk)
def get_static_detectors(self):
if DetectorTask._detectors is None:
detectors_root = "{}/detectors/".format(settings.MEDIA_ROOT)
DetectorTask._detectors = {
'coco':
detector.TFDetector(
model_path=detectors_root + 'coco/coco_mobilenet.pb',
class_index_to_string=coco_class_index_to_string),
'face':
detector.FaceDetector(),
'textbox':
detector.TextBoxDetector()
}
return DetectorTask._detectors
def load_detector(cls, cd):
cd.ensure()
if cd.pk not in Detectors._detectors:
if cd.detector_type == TrainedModel.TFD:
Detectors._detectors[cd.pk] = detector.TFDetector(
model_path=cd.get_model_path(),
class_index_to_string=cd.arguments['class_index_to_string']
)
elif cd.detector_type == TrainedModel.YOLO:
raise NotImplementedError("YOLO model has been removed")
elif cd.name == 'face':
Detectors._detectors[cd.pk] = detector.FaceDetector()
elif cd.name == 'textbox':
Detectors._detectors[cd.pk] = detector.TextBoxDetector(
model_path=cd.get_model_path())
else:
raise ValueError, "{}".format(cd.pk)
def load_detector(cls, cd):
cd.ensure()
if cd.pk not in Detectors._detectors:
if cd.detector_type == TrainedModel.TFD:
Detectors._detectors[cd.pk] = detector.TFDetector(
model_path=cd.get_model_path(),
class_index_to_string=cd.arguments['class_index_to_string']
)
elif cd.detector_type == TrainedModel.YOLO:
# class_names = {k: v for k, v in json.loads(self.class_names)}
# args = {'root_dir': model_dir,
# 'detector_pk': self.pk,
# 'class_names':{i: k for k, i in class_names.items()}
# }
Detectors._detectors[cd.pk] = detector.YOLODetector(
cd.get_yolo_args())
elif cd.name == 'face':
Detectors._detectors[cd.pk] = detector.FaceDetector()
elif cd.name == 'textbox':
Detectors._detectors[cd.pk] = detector.TextBoxDetector(
model_path=cd.get_model_path())
else:
raise ValueError, "{}".format(cd.pk)
def get_static_detectors(self):
if DetectorTask._detectors is None:
DetectorTask._detectors = {'coco': detector.TFDetector(model_path=model_path,class_index_to_string=coco_class_index_to_string),
'face': detector.FaceDetector(),
'textbox':detector.TextBoxDetector()}
return DetectorTask._detectors