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running object_detection_demo_yolov3_async.py for mobilefacedet-v1-mxnet

pkhan10
New Contributor I
399 Views

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 

pkhan10_0-1597843239863.png

 

0 Kudos
1 Solution
Munesh_Intel
Moderator
379 Views

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


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2 Replies
Munesh_Intel
Moderator
380 Views

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
Moderator
347 Views

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


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