For those who are interested in model conversion, you can try to export axmodel through
root@ax650:~/ax650# python3 ax_infer.py --model-path yolov8m_640x640_npu3.axmodel --test-img bus.jpg
[INFO] Available providers: ['AxEngineExecutionProvider', 'AXCLRTExecutionProvider']
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Chip type: ChipType.MC50
[INFO] VNPU type: VNPUType.DISABLED
[INFO] Engine version: 2.12.0s
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 6.0-dirty a498e20d-dirty
[YOLOv8-Det] [13:44:39.169] [DEBUG] Load model time = 483.73 ms
[YOLOv8-Det] [13:44:39.205] [DEBUG] Pre-process time = 7.49 ms
[YOLOv8-Det] [13:44:39.234] [DEBUG] Forward time = 28.59 ms
[YOLOv8-Det] [13:44:39.245] [DEBUG] Post-process time = 10.48 ms
[YOLOv8-Det] [13:44:39.249] [INFO] Draw Results (5 objects):
[YOLOv8-Det] [13:44:39.250] [INFO] (2, 229, 800, 741) -> bus: 0.97
[YOLOv8-Det] [13:44:39.253] [INFO] (51, 400, 247, 905) -> person: 0.93
[YOLOv8-Det] [13:44:39.254] [INFO] (668, 393, 808, 881) -> person: 0.91
[YOLOv8-Det] [13:44:39.255] [INFO] (221, 403, 343, 859) -> person: 0.89
[YOLOv8-Det] [13:44:39.255] [INFO] (0, 549, 78, 873) -> person: 0.79
[YOLOv8-Det] [13:44:39.281] [INFO] Saved to result_yolov8_det.jpg
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