How to interprete custom object detection model

[MertenJakobza]

Describe the bug
I have a custom object detection model that analyses a 256x256 Image. It should output a 32x32x16 Array or someting like that. Because it outputs a 32x32 Heatmap with 15 classes each plus the background class.
How do I have to setup the kpu?

kpu.set_outputs(task, 0, 32, 32, 16)
I've used this until this point, but I'm not sure if this is right?

And how can I acces the fmap after classification for each of the classes so that I can then produce for example a list of bounding boxes? Or can I turn it into an array so that I can use it that way?

Screenshots

Please complete the following information

• IDE version: 0.2.5
• Firmware version: 0.6.2
• Board: M5Stack K210
• OS: Windows