This extension is leveraged by micro:bit CreateAI which creates suitable blocks based on the machine learning model you build in the app. It is not useful separate from micro:bit CreateAI.
Ensure you have the required toolchain to build for V1 and V2 (arm-none-eabi-gcc, python, yotta, cmake, ninja, srec_cat) or docker.
git clone https://github.com/microbit-foundation/pxt-microbit-ml
cd pxt-microbit-ml
npm install pxt --no-save
npx pxt target microbit --no-save
npx pxt install
PXT_FORCE_LOCAL=1 PXT_NODOCKER=1 npx pxt
For the V1 build Yotta can hit the GitHub rate limits quite easily if the
project is built from a clean state more than once.
A V2-only build can be performed with the PXT_COMPILE_SWITCHES=csv---mbcodal
environmental variable.
PXT_FORCE_LOCAL=1 PXT_NODOCKER=1 PXT_COMPILE_SWITCHES=csv---mbcodal npx pxt
By default the model will run every 250 ms, to change this value the
ML_INFERENCE_PERIOD_MS
config can be modified.
{
"yotta": {
"config": {
"ML_INFERENCE_PERIOD_MS": 250
}
}
}
To enable debug print from this extension, add the following into your pxt.json file:
{
"yotta": {
"config": {
"ML_DEBUG_PRINT": 1
}
}
}
This software made available under the MIT open source license.
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