python export.py --weights yolov9-c.pt --include onnx

export: data=G:\Item_done\yolo\yolo5\yolov9\yolov9-main\data\coco.yaml, weights=['yolov9-c.pt'], imgsz=[640, 640], batch_size=1, device=cpu, half=False, inplace=False, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=12, verbose=False, workspace=4, nms=False, agnostic_nms=False, topk_per_class=100, topk_all=100, iou_thres=0.45, conf_thres=0.25, include=['onnx']
YOLOv5 2024-2-22 Python-3.9.16 torch-2.0.1+cu118 CPU

Fusing layers...
Model summary: 724 layers, 51141120 parameters, 0 gradients, 238.7 GFLOPs
Traceback (most recent call last):
File "G:\Item_done\yolo\yolo5\yolov9\yolov9-main\export.py", line 606, in
main(opt)
File "G:\Item_done\yolo\yolo5\yolov9\yolov9-main\export.py", line 601, in main
run(**vars(opt))
File "C:\Users\lllstandout.conda\envs\yolov8\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "G:\Item_done\yolo\yolo5\yolov9\yolov9-main\export.py", line 497, in run
if isinstance(m, (Detect, V6Detect)):
NameError: name 'V6Detect' is not defined