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				| @ -125,8 +125,9 @@ class ROCmDetector(DetectionApi): | ||||
| 
 | ||||
|     def detect_raw(self, tensor_input): | ||||
|         model_input_name = self.model.get_parameter_names()[0] | ||||
|         model_input_name = self.model.get_inputs()[0].name | ||||
|         model_input_shape = self.model.get_inputs()[0].shape | ||||
|         model_input_shape = tuple( | ||||
|             self.model.get_parameter_shapes()[model_input_name].lens() | ||||
|         ) | ||||
| 
 | ||||
|         tensor_input = cv2.dnn.blobFromImage( | ||||
|             tensor_input[0], | ||||
|  | ||||
| @ -163,6 +163,7 @@ class EventProcessor(threading.Thread): | ||||
|                 ) | ||||
|             ) | ||||
| 
 | ||||
|             try: | ||||
|                 attributes = [ | ||||
|                     ( | ||||
|                         None | ||||
| @ -179,6 +180,10 @@ class EventProcessor(threading.Thread): | ||||
|                     ) | ||||
|                     for a in event_data["snapshot"]["attributes"] | ||||
|                 ] | ||||
|             except TypeError: | ||||
|                 logger.warning( | ||||
|                     f"Failed to parse attributes of event data, event data is {event_data}" | ||||
|                 ) | ||||
| 
 | ||||
|             # keep these from being set back to false because the event | ||||
|             # may have started while recordings and snapshots were enabled | ||||
|  | ||||
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