Johan Pauwels jpauwels

TinyML - Getting Started

Are you interested in TinyML? Below are a few resources to help you get up and running quickly with your own ML models running on the tiniest of microcontrollers.

Before you dive in! Read this excellent article on why TinyML is such a big deal.

Step 1 - Get a microcontroller

The Arduino Nano 33 BLE Sense is a great starter board. It has an ARM Cortex M4 processor and a ton of sensors, including a 9-axis IMU, temperature and humidity sensors, a microphone, and more. It also supports Bluetooth and is programmable using a standard Micro USB cable.

Python relative imports in AWS Lambda fail with attempted relative import with no known parent package

The Problem

In AWS Lambda if I attempt an explicit relative import like this

.
├── lambda_file.py
└── example.py

Running Windows software on the Raspberry Pi (and other ARM devices) with Wine

Use Singularity and Docker to run a kernel in a jupyter notebook

This is an extension to this post about creating a kernel in a Jupyter notebook that runs a Singularity container.

Download Singularity (see here).

Create a Singularity file, e.g., (making sure to install the ipykernel module in it):

Bootstrap: docker

Partition, format, and mount a drive on Ubuntu

Reference:

https://www.howtogeek.com/106873/how-to-use-fdisk-to-manage-partitions-on-linux/

List logical disks and partitions

sudo fdisk -l

	# Forked from nathanielatom, updated to work with typescript and bokeh==1.3.4
	from bokeh.layouts import column, layout
	from bokeh.models import CustomJS, Model, LayoutDOM
	from bokeh.document import Document
	from bokeh.models.widgets import Button, Slider, Toggle
	from bokeh.core.properties import Instance, String
	from bokeh.io import save, output_file, show
	from bokeh.util.compiler import TypeScript
	from fontawesome.fontawesome_icon import FontAwesomeIcon as Icon
	# Requires https://github.com/bokeh/bokeh/tree/master/examples/custom/font-awesome

	import asyncio
	import sys

	from http import HTTPStatus


	RESPONSE_STATUS_TEXT = {
	code: str(code) for code in range(100, 600)
	}
	RESPONSE_STATUS_TEXT.update({

	\documentclass[a4paper, 12pt]{article}
	\usepackage[letterpaper, margin=2cm]{geometry}

	\usepackage[T1]{fontenc}
	\usepackage{beramono}
	\usepackage{listings}
	\usepackage{xcolor}

	\newcommand\realnumberstyle[1]{}

	MIT License

	Copyright (c) 2017 Jan Schlüter

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (the "Software"), to deal
	in the Software without restriction, including without limitation the rights
	to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	copies of the Software, and to permit persons to whom the Software is
	furnished to do so, subject to the following conditions:

	# Below are the dependencies required for installing the common combination of numpy, scipy, pandas and matplotlib
	# in an Alpine based Docker image.
	FROM alpine:3.4
	RUN echo "http://dl-8.alpinelinux.org/alpine/edge/community" >> /etc/apk/repositories
	RUN apk --no-cache --update-cache add gcc gfortran python python-dev py-pip build-base wget freetype-dev libpng-dev openblas-dev
	RUN ln -s /usr/include/locale.h /usr/include/xlocale.h
	RUN pip install numpy scipy pandas matplotlib