AttributeError: 'openvino.pyopenvino.Model' object has no attribute 'batch_size'

[VYRION-Ai]

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

YOLOv5 Component

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Bug

i run code using openvino but i got this error

`E:\Python\openvino\yolov5>python detect.py --weights nano/best.xml --source 0
detect: weights=['nano/best.xml'], source=0, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=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
YOLOv5  v6.1-280-g27d831b Python-3.8.7 torch-1.9.0+cpu CPU

Loading nano\best.xml for OpenVINO inference...
Traceback (most recent call last):
  File "detect.py", line 256, in <module>
    main(opt)
  File "detect.py", line 251, in main
    run(**vars(opt))
  File "C:\Users\H\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
    return func(*args, **kwargs)
  File "detect.py", line 92, in run
    model = DetectMultiBackend(weights, device=device, dnn=dnn, data=data, fp16=half)
  File "E:\Python\openvino\yolov5\models\common.py", line 369, in __init__
    batch_size = network.batch_size
AttributeError: 'openvino.pyopenvino.Model' object has no attribute 'batch_size'`

Environment

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Minimal Reproducible Example

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Additional

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Are you willing to submit a PR?

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

[glenn-jocher]

@totoadel thanks for the bug report! I'm able to reproduce this with:

!python export.py --include openvino
!python detect.py --weights yolov5s_openvino_model/

Will debug.

[VYRION-Ai]

@glenn-jocher sorry i don't get what you saying, what do you mean?

[glenn-jocher]

@totoadel good news 😃! Your original issue may now be fixed ✅ in PR #8510. To receive this update:

• Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
• PyTorch Hub – Force-reload model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• Notebooks – View updated notebooks
• Docker – sudo docker pull ultralytics/yolov5:latest to update your image

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!