I posted this topic up on openMV since openMV IDE is the environment that produced the error, but they said it wasn’t in their code and was something inside of tensor flow.
Using Edge Impulse to try and create a custom dataset.
After following the 15 minute tutorial of creating a custom dataset, I quickly realized this may only be for the H7 plus. Upon running the example .py they provide I immediately ran into the memory size problem and got that handled.
The next error is one that I can not seem to get past. As described in the topic of this post it is OSError Currently only float32 input type is supported.
It only occurs after the program runs and tries to take the first capture.
@aurel Just following up on this based on your advice.
I followed the tutorial you mentioned exactly, and it still produced the same error.
Not sure what else to try at this point, and will probably just wait until I get the H7plus. The only other thing I can think of, and have seen this before is that my work PC causes issues due to the profile IT has on it. Seems odd, but if it is trying to use something in the background locally I guess it’s possible.
I might try doing this on my surface just to rule out any PC issues.
The screen you are showing for the dashboard is something I have have not seen before. I was pretty sure I tried opening every option that I could on every tab. What you are describing looks like it would solve my problem.
I will try and get to those downloads a little later, however if you had a screen shot of what to click to open those downloads it would help speed things up quite a bit.
@Trainadana Yeah just rename it, and should be good to go. The full float32 model will indeed not run. I’ve pinged the OpenMV folks again, hopefully they can resolve this somewhere in the TFLite library running on the OpenMV board.