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The only tested computer vision models (to my knowledge) are YOLOv5 models. There seems to be (untested?) support for YOLOv8 in the rknn-jni.
The YOLOv10 repo has some compelling graphs, and there seems to be an RKNN conversion pipeline for it https://github.com/airockchip/yolov10. Is it worth upgrading?
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I was able to get v8 running locally, idk if anyone -actually- used it. Happy to JNI more things tho
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The only tested computer vision models (to my knowledge) are YOLOv5 models. There seems to be (untested?) support for YOLOv8 in the rknn-jni.
The YOLOv10 repo has some compelling graphs, and there seems to be an RKNN conversion pipeline for it https://github.com/airockchip/yolov10. Is it worth upgrading?
The text was updated successfully, but these errors were encountered: