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The bounding box input format is unclear in GIoULoss. Please include in which format the boxes should be in the docs.
As per the source code
Args:
y_true: true targets tensor. The coordinates of the each bounding
box in boxes are encoded as [y_min, x_min, y_max, x_max].
y_pred: predictions tensor. The coordinates of the each bounding
box in boxes are encoded as [y_min, x_min, y_max, x_max].
mode: one of ['giou', 'iou'], decided to calculate GIoU or IoU loss.
include the above in docs
The text was updated successfully, but these errors were encountered:
I am stuck here as well. The source code implies that the designated format is min-max, with y before x, which is quite unusual. With addons getting deprecated, I am not certain if we will obtain any clarity on this.
@coder-amey In many keras tutorials, they use box util functions like swap_xy, may be that's a Tensorflow-keras thing. Go according to the source code.
The bounding box input format is unclear in GIoULoss. Please include in which format the boxes should be in the docs.
As per the source code
include the above in docs
The text was updated successfully, but these errors were encountered: