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YOLOv8 / ONNX object detection, multiple shapes on top of eachother
Sorry if this is a dumb question / issue. I'm really new at machine learning / object detection.
I exported a YOLOv8 nano model to ONNX and ran object detection with your runtime and with the ort crate.
Whilst with the ort runtime I get one shape each, with yours I get several same object detected stacked on top of each other - same middle point, almost same width and height.
Is this related to the runtime? Do I have to clean up the output myself?
I hope I expressed myself correctly.
NMS