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I downloaded tensorflow's `ssd_mobilenet_v1_coco` and converted it to Intermediate Representation file using
`
/opt/intel/computer_vision_sdk_2018.2.300/deployment_tools/model_optimizer$ python3 mo_tf.py --input_model=/work/22_movidus/ncappzoo/tensorflow/custom_tf/ssdmobilenet_frozen_inference_graph.pb --tensorflow_use_custom_operations_config extensions/front/tf/ssd_support.json --output="detection_boxes,detection_scores,num_detections" --data_type FP16
`
It generated xml and bin files. I then tried to use it in movidius but I am getting this error
/opt/intel/computer_vision_sdk_2018.2.300/deployment_tools/demo$ ../inference_engine/samples/build/intel64/Release/object_detection_demo_ssd_async -d "MYRIAD" -m ./ir/ssdmobilenet16/ssdmobilenet_frozen_inference_graph.xml -i /dev/video0 InferenceEngine: API version ............ 1.1 Build .................. 11653 [ INFO ] Parsing input parameters [ INFO ] Reading input [ INFO ] Loading plugin API version ............ 1.1 Build .................. 11653 Description ....... myriadPlugin [ INFO ] Loading network files [ INFO ] Batch size is forced to 1. [ INFO ] Checking that the inputs are as the sample expects [ INFO ] Checking that the outputs are as the sample expects [ INFO ] Loading model to the plugin [ ERROR ] [VPU] Unsupported activation type
I have read that people are able to run this network on the NCS. But No luck for me so far... I would be grateful if anyone could help.
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Hi Azmath,
I could reproduce your error. I will investigate with our dev team the problem.
Best,
Severine
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Habert, Severine (Intel) wrote:
If you resolved the issue as Azmath discussed please remind the link and updates
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I had the same issue happend while using coco2018, but using coco2017 generated to .xml is running good.
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Hi Severine,
Please remind me updates if this [ ERROR ] [VPU] Unsupported activation type while running SSDMobilenet using OpenVino Inference Engine problem is solved, If there is any alternatives suggest if possible.
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I am getting the same problem is there any solution available for this?
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