Exported model person-vehicle-bike-detection-2000 error run on MYRIAD device. It's normal?

[teb4]

For model person-vehicle-bike-detection-2000 an error occurs on step 3. Try a pre-trained model c. Run demo with exported model if the device is MYRIAD:

[ INFO ] Initializing Inference Engine... [ INFO ] Loading network... [ INFO ] Reading network from IR... [ INFO ] Use BoxesLabelsParser [ INFO ] Loading network to MYRIAD plugin... Traceback (most recent call last): File "/home/teb/open_model_zoo/demos/object_detection_demo/python/object_detection_demo.py", line 361, in sys.exit(main() or 0) File "/home/teb/open_model_zoo/demos/object_detection_demo/python/object_detection_demo.py", line 251, in main device=args.device, max_num_requests=args.num_infer_requests) File "/home/teb/open_model_zoo/demos/common/python/pipelines/async_pipeline.py", line 90, in init config=plugin_config, num_requests=max_num_requests) File "ie_api.pyx", line 403, in openvino.inference_engine.ie_api.IECore.load_network File "ie_api.pyx", line 442, in openvino.inference_engine.ie_api.IECore.load_network RuntimeError: [ GENERAL_ERROR ] /home/jenkins/agent/workspace/private-ci/ie/build-linux-ubuntu18/b/repos/openvino/inference-engine/src/vpu/graph_transformer/src/frontend/frontend.cpp:441 Failed to compile layer "ScatterND_887": unsupported layer type "ScatterNDUpdate"

[morkovka1337]

Hi,

I'm afraid we can not help in this situation since we only develop the model. The model is converted by the model optimizer and then is being run in the open model zoo object detection demo. You can create issue in open_model_zoo or openvino repositories.

[sungmanc]

Close this issue, please reopen it if there is any problem.