Q-engineering

Please visit our [website](https://qengineering.eu/). All framework installations are covered there step by step.

@oki-aryawan, It's almost impossible to upgrade python when you have software already working under the old version. You get a lot of missing links and incompatible version errors. Best to...

@borelg , You're mentioning an annoying problem with images and SD cards. A 32 GB SD card isn't exactly 32 GB. There are MBytes allocated for overhead. Every brand uses...

You can upgrade your PyTorch by using the [1.10.0 wheel](https://github.com/Qengineering/PyTorch-Jetson-Nano)

I already looked at it at the time. Turns out to be tricky. Try again next week. Stay tuned.

Please, see issue #4 I will update the tutorial soon!

Indeed, compiling TF costs days. The short route is using the provided wheels. No need to compile and you have TF up and running within an hour. See the [guide](https://qengineering.eu/install-tensorflow-2.7-on-raspberry-64-os.html).

No need to compile TF in x64, although your absolute right, it saves a lot of time. On the other hand, once compiled, you end up with the very same...

Your welcome!

Dear @barthm1, Sorry for the inconvenience. We hadn't got the time to validate the installation yet. However, Sebastijan mentioned the same issue. Here is his solution. ``` I have RPI...