xingyizhou
diameter of gaussian generated heatmap
https://github.com/xingyizhou/CenterNet/blob/2b7692c377c6686fb35e473dac2de6105eed62c6/src/lib/utils/image.py#L127
the diameter is always an odd number which makes the maximum of heatmap generated from gaussian is ~0.7
but this generated heatmap is used to train the objectness in the heatmap which is probability
is the trick used to regularization or something?
Thank you for your interest in our work. The gaussian heatmap code is simply copied from CornerNet. I think the diameter just make the rendering faster. The peak of the heatmap should always be 1.
Thank you for your interest in our work. The gaussian heatmap code is simply copied from CornerNet. I think the diameter just make the rendering faster. The peak of the heatmap should always be 1.
How does a detection task generate a heatmap?
https://github.com/xingyizhou/CenterNet/blob/2b7692c377c6686fb35e473dac2de6105eed62c6/src/lib/utils/image.py#L127
the diameter is always an odd number which makes the maximum of heatmap generated from gaussian is ~0.7
but this generated heatmap is used to train the objectness in the heatmap which is probability
is the trick used to regularization or something?
when you generate heatmap, how much time taken for 128 batch size?
