tried to run yolov5 "detect.py" with pretrained model yolov8x.pt and xView.yaml

[plt2mek]

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• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

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Bug

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My results 👍
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detect: weights=yolov8x.pt, source=E:\IA\splitting_3, data=data\xView.yaml, imgsz=[1024, 1024], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_format=0, save_csv=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
YOLOv5 2024-8-28 Python-3.9.7 torch-2.4.0+cpu CPU

Traceback (most recent call last):
File "I:\pythonProject5\detect.py", line 442, in
main(opt)
File "I:\pythonProject5\detect.py", line 437, in main
run(**vars(opt))
File "I:\pythonProject5.venv\lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "I:\pythonProject5\detect.py", line 168, in run
model = DetectMultiBackend(weights, device=device, dnn=dnn, data=data, fp16=half)
File "I:\pythonProject5\models\common.py", line 489, in init
model = attempt_load(weights if isinstance(weights, list) else w, device=device, inplace=True, fuse=fuse)
File "I:\pythonProject5\models\experimental.py", line 98, in attempt_load
ckpt = torch.load(attempt_download(w), map_location="cpu") # load
File "I:\pythonProject5.venv\lib\site-packages\ultralytics\utils\patches.py", line 86, in torch_load
return _torch_load(*args, **kwargs)
File "I:\pythonProject5.venv\lib\site-packages\torch\serialization.py", line 1065, in load
with _open_file_like(f, 'rb') as opened_file:
File "I:\pythonProject5.venv\lib\site-packages\torch\serialization.py", line 468, in _open_file_like
return _open_file(name_or_buffer, mode)
File "I:\pythonProject5.venv\lib\site-packages\torch\serialization.py", line 449, in init
super().init(open(name, mode))
FileNotFoundError: [Errno 2] No such file or directory: 'yolov8x.pt'

Environment

No response

Minimal Reproducible Example

my changes in the default code :
parser.add_argument("--weights", nargs="+", type=str, default=ROOT / "yolov8x.pt", help="model path or triton URL")
#parser.add_argument("--source", type=str, default=ROOT / "data/images", help="file/dir/URL/glob/screen/0(webcam)")
parser.add_argument("--source", type=str, default= "E:\IA\splitting_3", help="file/dir/URL/glob/screen/0(webcam)")
parser.add_argument("--data", type=str, default=ROOT / "data/xView.yaml", help="(optional) dataset.yaml path")

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[glenn-jocher]

@plt2mek it looks like you're trying to use a YOLOv8 model with YOLOv5 code. YOLOv8 models are not compatible with YOLOv5. Please use a YOLOv5 model, such as yolov5x.pt, with the detect.py script. If the issue persists, ensure you're using the latest version of the YOLOv5 repository and dependencies. For further details, refer to the YOLOv5 documentation.