Does any one know if there is a guide to use edge with a the cheap maix boards, I have one but the guides are gritty, reading chinese isn’t my strong point.
If you export as C++ library and you have a way to compile for this target the resulting model will probably run as-is, but will fall back to software implementation for DSP and Neural Network code so it’s too be seen how fast it is. For data collection you can use the data forwarder (https://docs.edgeimpulse.com/docs/cli-data-forwarder) - if your data is not too high resolution.
What are you planning to do with it?
Actually reading here (https://www.hackster.io/dmitrywat/object-detection-with-sipeed-maix-boards-kendryte-k210-421d55) it seems that they use (copied?) the OpenMV IDE and seem compatible with plain tflite formats, so for anything image related perhaps exporting as OpenMV library works.
I want to do hand sign and simple word recognition, the devices come with a mic and a camera.
Collecting data with edge seems way easier than trying to do it in an ad hoc manner.
Yep, should be fine I think - just try and see how fast it is. Hand sign should be fine to grab data with the data forwarder, and software implementation in the C++ library export should be fast enough.
For word recognition it’s a bit harder to collect data from the device, but you can always use your phone for data collection, or use a prebuilt dataset. Then deploy to device in the same manner, and would be interested to see if it runs fast enough!