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C:\zhiqi_work\Intel_OpenVI\computer_vision_sdk_2018.1.265\deployment_tools\model_optimizer>python mo_caffe.py --input_model C:\zhiqi_work\Intel_OpenVI\computer_vision_sdk_2018.1.265\deployment_tools\caffe_model\VGG16_faster_rcnn_final.caffemodel --model_name C:\zhiqi_work\Intel_OpenVI\computer_vision_sdk_2018.1.265\deployment_tools\caffe_model\deploy.prototxt
Model Optimizer arguments
Batch: 1
Precision of IR: FP32
Enable fusing: True
Enable gfusing: True
Names of input layers: inherited from the model
Path to the Input Model: C:\zhiqi_work\Intel_OpenVI\computer_vision_sdk_2018.1.265\deployment_tools\caffe_model\VGG16_faster_rcnn_final.caffemodel
Input shapes: inherited from the model
Log level: ERROR
Mean values: ()
IR output name: C:\zhiqi_work\Intel_OpenVI\computer_vision_sdk_2018.1.265\deployment_tools\caffe_model\deploy.prototxt
Names of output layers: inherited from the model
Path for generated IR: C:\zhiqi_work\Intel_OpenVI\computer_vision_sdk_2018.1.265\deployment_tools\model_optimizer
Reverse input channels: False
Scale factor: None
Scale values: ()
Version: 0.3.75.d6bae621
Input proto file: deduced from the input model
Path to CustomLayersMapping.xml: extensions/front/caffe/CustomLayersMapping.xml
Path to a mean file:
Offsets for a mean file: None
[ ERROR ] Found custom layer proposal. Model Optimizer does not support this layer. Please, register it in CustomLayersMapping.xml or implement extension. For more information please refer to Model Optimizer FAQ, question #45.
this above is the output from the command. I followed the instructions from the sample site, but why it doesn't work?
python3 ${MO_ROOT_PATH}/mo_Caffe*.py --input_model <path_to_model]/VGG16_faster_rcnn_final.Caffe*model --input_proto <path_to_model]/deploy.prototxt --extensions <path_to_object_detection_sample]/fasterrcnn_extensions
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Dear Zhiqi,
in our previous R1 release of OpenVINO, we had to give the path to the custom layer extension files for faster rcnn: python3 ${MO_ROOT_PATH}/mo_Caffe*.py --input_model <path_to_model]/VGG16_faster_rcnn_final.Caffe*model --input_proto <path_to_model]/deploy.prototxt --extensions <path_to_object_detection_sample]/fasterrcnn_extensions
This is not necessary with our newest release that I invite you to update to. Then, with your command line, it should work.
Best,
Severine
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Dear Zhiqi,
in our previous R1 release of OpenVINO, we had to give the path to the custom layer extension files for faster rcnn: python3 ${MO_ROOT_PATH}/mo_Caffe*.py --input_model <path_to_model]/VGG16_faster_rcnn_final.Caffe*model --input_proto <path_to_model]/deploy.prototxt --extensions <path_to_object_detection_sample]/fasterrcnn_extensions
This is not necessary with our newest release that I invite you to update to. Then, with your command line, it should work.
Best,
Severine
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I have trouble if you find solution please write me
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I upgraded to R3, and I don't have this issue any more. Thank you.
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