I converted the palm detection model from Google to a HEF and ran it on the Raspberry Pi. Everything works fine, but the output of the inference is something like this:
{‘palm_detection/conv34’: array([[[[178, 148],
[168, 149],
[164, 147],
…,
[169, 153],
[168, 156], …
While the output from running on CPU is something like this:
[[[ -4.10298634 -4.51319408 21.12065315 … 8.04391384 6.85777426
6.99167013] …
Obviously there has been a conversion from float to uint8 but I wonder what I should do to convert it back such that I can use the output for postprocessing. Is there some conversion function which I can find somewhere? I can’t seem to find it in the docs.
Thanks in advance
Rik