running object_detection_demo_yolov3_async.py for mobilefacedet-v1-mxnet

[pkhan10]

hello openvino team
I am trying to test mobilefacedet-v1-mxnet model using object_detection_demo_yolov3_async python demo

model conversion script 

python mo_mxnet.py -m /media/prateek/prateek_space/intel_model_dump/public/mobilefacedet-v1-mxnet/mobilefacedet_v1_mxnet-0000.params -o /media/prateek/prateek_space/intel_model_dump/public/mobilefacedet-v1-mxnet/openvino_model/ --input_shape [1,256,256,3] --input_symbol /media/prateek/prateek_space/intel_model_dump/public/mobilefacedet-v1-mxnet/mobilefacedet_v1_mxnet-symbol.json --transformations_config=extensions/front/mxnet/yolo_v3_mobilenet1_voc.json --reverse_input_channels

Error 

[Munesh_Intel · Accepted solution]

Hi Prateek,

I’ve validated the Object Detection YOLO V3 Python Demo, Async API Performance Showcase.

Please use the following transformations_config file for Model Optimizer conversion:

--transformations_config /opt/intel/openvino/deployment_tools/open_model_zoo/models/public/mobilefacedet-v1-mxnet/mobileface_det.json

Regards,

Munesh

[Munesh_Intel]

Hi Prateek,

This thread will no longer be monitored since we have provided a solution. If you need any additional information from Intel, please submit a new question.

Regards,

Munesh