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Converting the model of mask_rcnn using openvino 2019.1 model_optimizer,failing to run segmentation_demo with is model.
the error log:
/opt/intel/openvino/deployment_tools/inference_engine/samples/build/intel64/Release$ ./segmentation_demo -i ~/Desktop/bmp_13.jpg -m /opt/openvino_toolkit/models/segmentation/output/FP32/frozen_inference_graph.xml -d CPU [ INFO ] InferenceEngine: API version ............ 1.6 Build .................. custom_releases/2019/R1.1_28dfbfdd28954c4dfd2f94403dd8dfc1f411038b [ INFO ] Parsing input parameters [ INFO ] Files were added: 1 [ INFO ] /home/intel/Desktop/bmp_13.jpg [ INFO ] Loading plugin API version ............ 1.6 Build .................. 23780 Description ....... MKLDNNPlugin [ INFO ] Loading network files [ INFO ] Preparing input blobs [ ERROR ] Demo supports topologies only with 1 input
But, when using the openvino 2018 R5 model optimizer conversion, it works fine.
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Dear ren, rachel
But you are still on an extremely old OpenVino version. We are now on 2019R2.01. Can you download the latest and try again ? Let me know what happens on this forum.
Thanks,
Shubha
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