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And this is the architecture of our system.
First starting the system, the input would be the pictures that need to be convert.
After inputting, the main objects will be recognized first.
The recognition results will be builds as data chain to save.
The determination of the objects class is makes by ourselves, and the importance of objects will be decided by size or proportion.
According to the object class that set in the advance, system will recognize if there have sub objects.
If it does, it will build a sub object data chain, and add to corresponding main data chain.
In each stage of image recognition would be different small model.
This multi-stage architecture make it can be deployed easier.
In the end, when system determines that there are no any other sub-objects,
system will merge all data chain together.
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IEEE/ICACT20240034 Slide.12
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