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Hi
I managed to train the LPR model and is able to run the inference as follows.
=========
(lpr)root@stratton:/deeplearning/openvino_training_extensions/tensorflow_toolkit/lpr# !545
python3 tools/infer_ie.py --model model/export/IR/FP32/lpr.xml --device=CPU --cpu_extension="${INTEL_OPENVINO_DIR}/deployment_tools/inference_engine/lib/intel64/libcpu_extension_avx2.so" --config chinese_lp/config.py /deeplearning/openvino_training_extensions/data/synthetic_chinese_license_plates/Synthetic_Chinese_License_Plates/crops/000000.png
[ INFO ] Initializing plugin for CPU device...
[ INFO ] Reading IR...
[ INFO ] Loading IR to the plugin...
Output: <Shandong>BNRD4L
======
so I tranferred lpr.xml and lpr.bin as inputs for security_barrier_camera_demo as follow and got the following error.
======
C:\Users\Emcore-i89M2\Documents\Intel\OpenVINO\inference_engine_demos_build\intel64\Release>security_barrier_camera_demo -d CPU -m vehicle-license-plate-detection-barrier-0106.xml -m_lpr lpr.xml -m_va vehicle-attributes-recognition-barrier-0039.xml -i "rtsp://root:opt12345@192.168.1.93:554/live.sdp" -d_va CPU -d_lpr CPU -display_resolution 1200x980
[ INFO ] InferenceEngine:
API version ............ 2.1
Build .................. 32974
Description ....... API
[ INFO ] Files were added: 1
[ INFO ] rtsp://root:opt12345@192.168.1.93:554/live.sdp
AAA
BBB file [≡°ëε-]
INPUT [ INFO ] Loading device CPU
CPU
MKLDNNPlugin version ......... 2.1
Build ........... 32974
[ INFO ] Loading detection model to the CPU plugin
[ INFO ] Loading Vehicle Attribs model to the CPU plugin
[ INFO ] Loading Licence Plate Recognition (LPR) model to the CPU plugin
[ ERROR ] LPR should have 2 inputs <============= ERROR
=======================
What did I do wrong?
What do I have to do to train new lpr for security_barrier_camera_demo?
Appreciate advise please
Thank you
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Hi Richard,
There was a fix for this issue, see here. You should be able to use 1 input. I think it should fix the problem.
Please let me know if this information is helpful.
Best Regards,
Sahira
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Yes fixed.
Very helpful, thank you

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