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I am new to Detectron2 and to implementing neural networks in general and struggle to find any documentation/examples that show how to do what I want, therefore I hope to find some help here.
The goal of my work is to get bounding polygons instead of/in addition to bounding boxes (similar to the PolyYolo extension of YOLO). As far as I could see, I have to implement a custom Dataloader because I have a custom annotation format. Then I also have to implement a new ROIHead. In the end the problem is, that I do not know exactly how to integrate those components in the framework and which components need to be changed in order to embed my own ROIHeads, losses, Groundtruths etc..
Is there an example out there or could someone briefly explain the workflow for such a task?
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I am new to Detectron2 and to implementing neural networks in general and struggle to find any documentation/examples that show how to do what I want, therefore I hope to find some help here.
The goal of my work is to get bounding polygons instead of/in addition to bounding boxes (similar to the PolyYolo extension of YOLO). As far as I could see, I have to implement a custom Dataloader because I have a custom annotation format. Then I also have to implement a new ROIHead. In the end the problem is, that I do not know exactly how to integrate those components in the framework and which components need to be changed in order to embed my own ROIHeads, losses, Groundtruths etc..
Is there an example out there or could someone briefly explain the workflow for such a task?
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