Darknet: Non labeled objects

[anguoyang]

@AlexeyAB , I found some error detection: I trained the model with goods(drink, chocolate, etc.) but it could detect faces.
and I found this:
"desirable that your training dataset include images with non-labeled objects that you do not want to detect - negative samples without bounded box (empty .txt files) - use as many images of negative samples as there are images with objects"

So I decide to add some non-labeled images with empty .txt files(same name with the images), but when I train it I got these errors:
"Can't open label file. (This can be normal only if you use MSCOCO)"

Thank you.

[AlexeyAB]

@anguoyang

@AlexeyAB , I found some error detection: I trained the model with goods(drink, chocolate, etc.) but it could detect faces.
and I found this:
"desirable that your training dataset include images with non-labeled objects that you do not want to detect - negative samples without bounded box (empty .txt files) - use as many images of negative samples as there are images with objects"

Check, are there empty .txt files for non-labeled images?

[anguoyang]

@AlexeyAB thank you, its my mistake