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Hi
I installed latest openvino. I am using Windows 10, vs2015, intel i7-7700 cpu.
I successfully model optimized my tiny yolo using the model optimizer.
I successfully compiled the samples including object_detection_demo_yolov3_async.
I am trying to run my model but keep getting an exception at
InferencePlugin plugin = PluginDispatcher().getPluginByDevice(FLAGS_d);
I debugged into c:\Program Files (x86)\IntelSWTools\openvino_2019.1.133\deployment_tools\inference_engine\include\ie_device.hpp
The exception is at :
return val != deviceFromNameMap.end() ? val->second : InferenceEngine::TargetDevice::eDefault;
MIGHT IT BE THAT THE inference engine compiled by vs2017 and I need an vs2015 compilation?
FLAG_d get the default value of “CPU”.
I changed a little the program to read image instead of video as We are working with images. I do not think it matters.
My command lines parameters are:
-i c:\Users\hts\Documents\Intel\OpenVINO\inference_engine_samples_build\object_detection_demo_yolov3_async\ColorFront_10090002064_1_Overview_6022197.jpg -m c:\Users\hts\Documents\Intel\OpenVINO\inference_engine_samples_build\object_detection_demo_yolov3_async\frozen_darknet_yolov3_model.xml
Thanks.
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After I coppied the dlls c:\Program Files (x86)\IntelSWTools\openvino_2019.1.133\deployment_tools\inference_engine\bin\intel64\Release\
to the working folder the exception is solved.
Now I get the following message:
InferenceEngine:
API version ............ 1.6
Build .................. 23224
[ INFO ] Parsing input parameters
[ INFO ] Reading input
[ INFO ] Loading plugin
API version ............ 1.6
Build .................. 23224
Description ....... MKLDNNPlugin
[ INFO ] Loading network files
[ INFO ] Batch size is forced to 1.
[ INFO ] Checking that the inputs are as the demo expects
[ INFO ] Checking that the outputs are as the demo expects
[ ERROR ] This demo only accepts networks with three layers
Line if (outputInfo.size() != 3) {
the outputInfo.size() is 2
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Dearest shay w.,
Thank you for reporting back to the forum. The OpenVino community appreciates your feedback, especially when you figured it out and solved your problem !
Shubha

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