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line 65: decode_bboxes (Tensor): predicted bounding boxes, shape(n, 80)
Why the shape of bbox here is (n,80)?
I started reading from tood_head.py and I wonder why the shape here is not the (n,4)?
The text was updated successfully, but these errors were encountered:
Thank you for your answer!
And this is associated with a line of code.
the 83 line in the task_aligned_assigner.py : alignment_metrics = bbox_scores ** alpha * overlaps ** beta
In my inference,the shape of “bbox_scores” is (n,1,80) and the shape of "overlaps" is (n ,num_gts).
But the "num_gts" is not equal to 80,It seems that the two cannot be multiplied by "*"。
It's a little confusing to me.
I think if the shape of overlaps is (n, num_gts, 1),they can be multiplied by "*" to get the alignment_metrics, and the shape of alignment_metrics is (n, num_gts, 80).
I don't know if my understanding is correct about the alignment_metrics.
line 65: decode_bboxes (Tensor): predicted bounding boxes, shape(n, 80)
Why the shape of bbox here is (n,80)?
I started reading from tood_head.py and I wonder why the shape here is not the (n,4)?
The text was updated successfully, but these errors were encountered: