soobin508

yes, I tried with the default code without any additional change, the best result is 51% @0.5:0.95 & 65% @0.5. My aim is to reach accuracy of 90%+, is it...

besides --imgsz, is there other factor affecting the accuracy? >

Hi Sovit. I would like to implement F1-score and recall as the metrics. May I ask where I can make the modification?

does it mean that the `metrics.py` have to replace the `evaluate` in the `train.py`?

I tried to add torchmetrics `Precision` inside the `eval.py`. However, there are many errors associated to it. 1. I added `prec=Precision(preds, target)`. It said **AttributeError: 'list' object has no attribute...

What will be the best way to include the metrics? I'm using the same target and preds u have been using....