Update train-yolo-nas-on-custom-dataset.ipynb

[Lars-Codes]

See documentation for verification
https://supervision.roboflow.com/detection/core/

Description

Under "Visualize Interference Result," there needs to be an extra underscore when looping through detections.

Please delete options that are not relevant.

• This change requires a documentation update

How has this change been tested, please provide a testcase or example of how you tested the change?

I was following the tutorial and was receiving errors until I added an extra underscore. As per the documentation, there are 6 parameters, not 5.

Code

Change this:

labels = [ f"{result.class_names[class_id]} {confidence:0.2f}" for _, _, confidence, class_id, _ in detections ]
to This:

labels = [ f"{result.class_names[class_id]} {confidence:0.2f}" for _, _, confidence, class_id, _, _ in detections ]

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