Comments (4)
andreapiso
commented on July 22, 2024
Can't you just use k-means on the boxes of your dataset?
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tejashadkar
commented on July 22, 2024
Do we have to run k-means only on height and width parameters of GT bboxes for squeezeDet model?
I guess cx and cy are already being calculated in set_anchors method of kitti_squeezeDet_config.py. Please confirm!
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andreapiso
commented on July 22, 2024
Anchor boxes are just shapes, what would be the meaning of calculating
their center?
…On Fri, 9 Feb 2018 at 9:33 PM, Tejas ***@***.***> wrote:
Do we have to run k-means only on height and width parameters of GT bboxes
for squeezeDet model?
I guess cx and cy are already being calculated in set_anchors method of
kitti_squeezeDet_config.py. Please confirm!
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cygerts
commented on July 22, 2024
@AndreaPisoni - can you please explain in more detail how the anchorse should be chosen using K-means, or give any link? Given I have W*H custom dataset, and X number of classes.
My current understanding is that I should run k-means on the size (W x H) of all gt-boxes, and then take top N (lets say 9 as in current config)?
EDIT: anchor generation is described here :https://arxiv.org/pdf/1606.01561.pdf. Basically run K-Means on width, and heights of boxes, where K is a hyperparameter but you can easily leave it as it is (9).
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