Hello OpenVino Community,
I am trying to code a minimal SSD detection example on my own using OpenVino in the current Version 2020.4.
I have read the following resources:
In the latter resource in step 3 you have to prepare inputs and outputs. I could not find a more detailed resource on this matter.
When I look at this Object Detection SSD example the steps 6 and 9 are about input preparation, but how do I know what steps I have to take? Are the presented steps always necessary? I am somehow missing the link between the IR topology and actually coding (not copy pasting) the input and output preparation in a well understood manner.
Any approaches are welcome! As well as pointers to more detailed resources.
I would suggest you view the following videos, which will provide your more insights into Inference Engine workflow.
The Inference-Engine Concept | OpenVINO™ toolkit | Ep. 15 | Intel Software
Inference-Engine API Sample Code | OpenVINO™ toolkit | Ep. 16 | Intel Software
Inference Engine Python Sample | OpenVINO™ toolkit | Ep. 17 | Intel Software
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