Im working on a ML project with the H7 and unfortunatly dont have the plus.
I followed this tutorial for working within the constraints of the the H7 (non plus) here
It is unfortunate because my model went from 100% accuracy from the edge impulse tutorial to 14% with the reduction but oh well.
When I try to run the deployed version to the camera I get the following error:
OSError: Arena size is too small for activation buffers. Needed 57648 but only 54640 was available.
is there a way I can reduce the framerate or slow down the camera or something in order to get the camera to run? Is there a different reccomended low powered tool?
awsome thanks I’ll adjust the sensor and retake the photos.
im not sure this is in the scope of openmv question this may be in edge-impulse land however im curious if after adjusting the frame size if i still need to make the impulse where I down grade the image size to to 48x48 (instead of 90x90 as per edge impulse reccomendation) as well as making them greyscale and using MobileNetV2 0.1 (instead of MobileNetV2 0.35 as per edge impulse reccomendation)
I guess Im uncertain the difference between ram constraints vs having enough frame constraints.
awsome thanks I’ll adjust the sensor and retake the photos.
You don’t need to retain the network, just set the framesize to QQVGA (which is 160x120) so you should be able to scale down to 90x90, while saving some framebuffer RAM. Also retraining a smaller model or switching architecture should work too.
useing 48x48 and rgb I get
MemoryError: Out of fast Frame Buffer Stack Memory! Please reduce the resolution of the image you are running this algorithm on to bypass this issue
Is there a way to do something like really slow fps. i dont anticipate the camera needing to capture very fast for my application