How to measure acc,loss,f1, etc on jetson nano?

How to measure accuracy, loss, F1-score,and more on jetson nano with jetson-inference?
And how to show the confusion matrix?

Hi @m012110024, while training an image classifier or object detector with PyTorch using the or scripts, they will automatically output the loss and will automatically output the accuracy. With, you can use the --validate-mean-ap flag so that it computes the overall and per-class Mean Average Precision (mAP) at the end of each epoch.

To compute the F1-score, confusion matrix, ect you could use a library like torchmetrics or scikit-learn and integrate them into the training scripts. I haven’t done this so you would need to make the necessary modifications.

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