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Das__Chinmay
Beginner
125 Views

Can't read openvino pre-trained model in opencv.

I was running the following line on raspberry pi:

import cv2

cv2.dnn.readNet('person-detection-retail-0002/person-detection-retail-0002.xml',
'person-detection-retail-0002/person-detection-retail-0002.bin')

the error is following :

**

terminate called after throwing an instance of 'InferenceEngine::details::InferenceEngineException'

  what():  Check 'axis < static_cast<size_t>(input_rank)' failed at /teamcity/work/scoring_engine_build/releases_2020_1/ngraph/src/ngraph/op/gather.cpp:140:

While validating node 'Gather[Gather_928](patternLabel_924: float{10,20,30}, patternLabel_925: int64_t{5}, patternLabel_927: int64_t{1}) -> (??)':

The axis must => 0 and <= input_rank (axis: 4294967295).

Aborted


**

I have already build the opencv with openvino.
import cv2 as cv

In [2]: print(cv.file)
/home/pi/openvino/python/python3/cv2.abi3.so`

0 Kudos
1 Reply
David_C_Intel
Employee
125 Views

Hi Chimnay,

Thanks for reaching out.

This is an issue with the latest OpenVINO™ toolkit version (2020.1). The "axis" error is caused by the new IR v10 format. 

As a workaround for this issue you can do either of these options:

  1. Use the previous pre-trained models from the 2019 R3 open model zoo.
  2. Generate the IRv7 format files using the Model Optimizer from the full installation of OpenVINO™ toolkit with the following parameter: --generate_deprecated_IR_V7.
  3. Install the previous version of OpenVINO™ toolkit (2019 R3.1) on a Windows, Linux or Mac OS system, convert the model there, which will generate the IR v7 format and that should work successfully with the Intel® Neural Compute Stick 2 on the Raspberry Pi.

Best regards,

David

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