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When reading the source code of BoxDataLayer. (code) It brings me to here. It seems that box labels are not transformed, but image is transformed (crop, mirror) in Transform(cv_img, transformed_blob) in testing stage. I assume this would cause fatal error such as box labels out of range of images.
Similar situation happens in training stage code. It seems you random shift the position of box labels. You resize the image to its origin size, while keeping box labels unresized. Then you transform the image, and do nothing to box labels.
Since I do not have the dataset, I cannot reproduce the "error". But it looks incorrect intuitively.
The text was updated successfully, but these errors were encountered:
When reading the source code of BoxDataLayer. (code) It brings me to here. It seems that box labels are not transformed, but image is transformed (crop, mirror) in Transform(cv_img, transformed_blob) in testing stage. I assume this would cause fatal error such as box labels out of range of images.
Similar situation happens in training stage code. It seems you random shift the position of box labels. You resize the image to its origin size, while keeping box labels unresized. Then you transform the image, and do nothing to box labels.
Since I do not have the dataset, I cannot reproduce the "error". But it looks incorrect intuitively.
The text was updated successfully, but these errors were encountered: