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yolo model in labview using vision development module

Hi all,

How can I deploy a YOLOv11 model (trained using Ultralytics on my custom dataset) in LabVIEW for object detection and get inference in LabVIEW.
A detailed explanation is much appreciated as I am beginner here.

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Hi Sasimitha,

 

If you’ve trained a YOLOv11 model using Ultralytics and now want to use it in LabVIEW for object detection, the process involves combining Python and LabVIEW. Since LabVIEW doesn’t natively support YOLO or ONNX models, the best approach is to use a Python script for inference and call it from LabVIEW using the Python Node.

 

You can find a YOLO Deep Learning add on for LV, which might simplify your work if you're open to using Darknet-based YOLO models instead of Ultralytics.

You can find it here: Deep Learning Darknet YOLO package add-on is now available on LabVIEW - NI Community

 

Best regards

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