CODEWITHSUNDEEP
opencvcomputer-visionintelopenvinomovidius
pinbu
pinbu

Reputation: 7

Inference on openvino model returns only scores

My task is to perform inference for face detection using Intel Movidius and Raspberry Pi. The error is that the model only returns "Scores" -> (1, 3000, 2) and not "Boxes".

Steps: On my local machine, I trained several models(mb1-ssd, mb1-ssd-lite, vgg16-ssd) from the repository https://github.com/qfgaohao/pytorch-ssd and converted them to onnx. Then, using open vino model optimizer from openvinotoolkit = 2020.1, I obtained the '.bin', '.xml' files for each model. Then, using the obtained files, I performed the infference on the Rasberry Pi and hit the mentioned error.

Note: The inference works using pretrained face detection models from model zoo, the only difference I found looking at the .xml files and my .xml files is that the last layer, "Detection output" is missing. However, when I visualize the .xml file using netron, the conversion seems to be correct.

Link to repo: https://github.com/cocacola0/bsc_thesis

Upvotes: 0

Views: 188

Answers (1)

Peh_Intel
Peh_Intel

Reputation: 116

OpenVINO™ 2020.3 release is the last OpenVINO™ version that supports Intel® Movidius™ Neural Compute Stick powered by the Intel® Movidius™ Myriad™ 2.

Use ssd_mobilenet_v2_coco and ssdlite_mobilenet_v2, alternative models that are available in Open Model Zoo. Both models are working well with your code.

Upvotes: 0

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