Update pose detection to yolo v11 #1496
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oleflb
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Nov 13, 2024
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| const EXPECTED_OUTPUT_NAME: &str = "1525"; | ||
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Just a thought, maybe you can edit the xml by hand (technical term: model surgery 😉) to remove the other outputs and also name this one properly
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Why? What?
We experienced multiple issues with the old yolo pose detection results during RoboCup 2024. Some poses were not detected at all - arms straight up and either completely parallel or even pointing towards each other - or low background contrast to the person of interest resulted in bad confidence values and poses thus being rejected.
This is an update from yolo v8 n pose to yolo v11 n pose. Initial tests resulted in substantially better detection of the challenging arms straight up pose as compared to the v8 version.
Fixes #
ToDo / Known Issues
If this is a WIP describe which problems are to be fixed.
Ideas for Next Iterations (Not This PR)
If there are some improvements that could be done in a next iteration, describe them here.
How to Test