Comments (1)
@tolsicsse
Thanks for the suggestion. I think Darknet also retains the images without ground truth bounding boxes. I did not know that Detectron 2 also does that.
I have been trying to figure out the pipeline for that for some time now. But generally, the albumentations augmentations part will throw an error without ground truth boxes.
Many other libraries also discard images without objects. But I am sure that what you are suggesting is bound to help.
Still I will try to implement it.
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from fasterrcnn-pytorch-training-pipeline.