【嵌入式AI开发rk3588】yolov8模型转换：pt-＞onnx-＞rknn

yolov8系列模型转换步骤

1. pt->onnx

• 在官方给出的airockchip/ultralytics_yolov8下，配置cfg/default.yaml中task,mode,model路径：

task: segment # (str) YOLO task, i.e. detect, segment, classify, pose
mode: export # (str) YOLO mode, i.e. train, val, predict, export, track, benchmark
model: xx/yolov8n-seg.pt(自己训练的模型路径) # (str, optional) path to model file, i.e. yolov8n.pt, yolov8n.yaml
...
format: rknn

• run engine/exporter.py转换为官方算子适应的onnx

PyTorch: starting from '' with input shape (16, 3