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I'm wondering what is the idea behind looping over scale_search in evaluation? I looked through the paper but couldn't find a good explanation on why we use scale_search = 0.5, 1, 1.5, 2.
Moreover, if we know for sure that the image contains only one human that is the size of the image, does it make any sense to have anything but scale_search = 1 ?
The text was updated successfully, but these errors were encountered:
I'm wondering what is the idea behind looping over
scale_search
in evaluation? I looked through the paper but couldn't find a good explanation on why we usescale_search = 0.5, 1, 1.5, 2
.Moreover, if we know for sure that the image contains only one human that is the size of the image, does it make any sense to have anything but
scale_search = 1
?The text was updated successfully, but these errors were encountered: