Skip to main content

Calibrate magnetometer and accelerometer readings

Project description

Introduction

Discord Build Status Code Style: Black

This library allows you to calibrate magnetometers when used with a 3 axis accelerometer. It is designed for use with circuitpython and ulab, but can be used in any python environment where numpy is present.

Dependencies

This driver depends on:

Installing from PyPI

On supported GNU/Linux systems like the Raspberry Pi, you can install the driver locally from PyPI. To install for current user:

pip3 install circuitpython-mag-cal

To install system-wide (this may be required in some cases):

sudo pip3 install circuitpython-mag-cal

To install in a virtual environment in your current project:

mkdir project-name && cd project-name
python3 -m venv .venv
source .env/bin/activate
pip3 install circuitpython-mag-cal

Installing to a Connected CircuitPython Device with Circup

Make sure that you have circup installed in your Python environment. Install it with the following command if necessary:

pip3 install circup

With circup installed and your CircuitPython device connected use the following command to install:

circup install mag_cal

Or the following command to update an existing version:

circup update

Usage Example

from mag_cal.calibration import Calibration
from mag_cal.utils import read_fixture

PATH = "../tests/fixtures/cal_data/hj2.json"

with open(PATH) as f:
    aligned, grav, mag = read_fixture(f.read())

calib = Calibration()
calib.fit_ellipsoid(mag, grav)
calib.fit_to_axis(aligned)
calib.fit_non_linear_quick(aligned, param_count=5)

#calib.fit_non_linear(aligned, param_count=3)
for m, g in zip(mag,grav):
    azimuth, inclination, roll = calib.get_angles(m, g)
    print(f"{azimuth:05.1f}° {inclination:+05.1f}° {roll:+04.0f}°")

Documentation

API documentation for this library can be found on Read the Docs.

For information on building library documentation, please check out this guide.

Contributing

Contributions are welcome! Please read our Code of Conduct before contributing to help this project stay welcoming.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

circuitpython-mag-cal-1.4.1.tar.gz (65.9 kB view details)

Uploaded Source

Built Distribution

circuitpython_mag_cal-1.4.1-py3-none-any.whl (23.6 kB view details)

Uploaded Python 3

File details

Details for the file circuitpython-mag-cal-1.4.1.tar.gz.

File metadata

  • Download URL: circuitpython-mag-cal-1.4.1.tar.gz
  • Upload date:
  • Size: 65.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for circuitpython-mag-cal-1.4.1.tar.gz
Algorithm Hash digest
SHA256 500fee7ea10b5f05ba7e7f11e94f7ca32bf66f41b94ebabb7113f93f0cd2119b
MD5 1a1e4704b6787dbcc5dfc21d566d5167
BLAKE2b-256 4b04534e28d3be9a68fdb6a5083ed0d14c8544b8465dc5627211da3b2af9bc3e

See more details on using hashes here.

File details

Details for the file circuitpython_mag_cal-1.4.1-py3-none-any.whl.

File metadata

File hashes

Hashes for circuitpython_mag_cal-1.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3f9fddce833eaf138450ca94f4d24b073d708ec4604a815792ce7ceb42624c34
MD5 139cd4f545038053abf92ce34c157e59
BLAKE2b-256 22b49ad940610822d28182d60ec1526e854003fa622e5495ae0824fb1fd3d7d5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page