2
$\begingroup$

I want to estimate hand poses and recognize gestures using an open-source library like OpenPose on live video. Considering the fact that such libraries are very computationally intensive.

How likely is it that it will run on a Raspberry Pi 4 using a Pi-Cam while giving me something above 15 fps? Assume that the models are pre-trained.

$\endgroup$
0
$\begingroup$

If using TFLite python API, you may reach to 1/2 FPS. On downscaled custom Pose architectures you may get more FPS. You can try the TFLite c++ API as well, it might be a bit faster than the python one. To reach more than this you would need a TPU or a library that could use GPU computation of the Pi. Nevertheless, I doubt that it would reach 15 FPS with OpenPose open-source library.

| improve this answer | |
$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.