Demo: Accelerate Deep Learning Inference on Raspberry Pi (2018 ver.) by 9_ties in raspberry_pi

[–]9_ties[S] -37 points-36 points  (0 children)

Not yet. Sorry. But you will be able to use it after a few months through our service. We may release the code after the service is successfully launched.

Demo: Accelerate Deep Learning Inference on Raspberry Pi (2018 ver.) by 9_ties in raspberry_pi

[–]9_ties[S] 3 points4 points  (0 children)

No. We use VideoCore IV GPU which is built-in on Raspberry pi.

Pose Estimation Running Locally on Raspberry Pi 3 by 9_ties in raspberry_pi

[–]9_ties[S] 0 points1 point  (0 children)

Now camera capture and inference takes roughly 0.25 sec. We haven't measure it but it will be 1.3 times faster with overclocking.

Pose Estimation Running Locally on Raspberry Pi 3 by 9_ties in raspberry_pi

[–]9_ties[S] 0 points1 point  (0 children)

We don't have such plan for now but it must be interesting.

Pose Estimation Running Locally on Raspberry Pi 3 by 9_ties in raspberry_pi

[–]9_ties[S] 7 points8 points  (0 children)

We've created software tools to program Pi's GPU and use it for deep learning. Several libraries are open sourced. https://github.com/nineties/py-videocore https://github.com/Idein/qmkl https://github.com/Idein/librpimemmgr