Skip to main content

A package for signal classification and deployment in any microcontroller board with no expertise required.

Project description

easyRTML

License Python Version

Overview

easyRTML is a Python package designed for signal classification and deployment on any microcontroller board without requiring any expertise. This package facilitates seamless data acquisition, feature extraction, model training, and conversion to deployable code for embedded systems.

Features

  • Data Acquisition: Capture data from sensors and save it in CSV format.
  • Feature Extraction: Extract relevant features from raw data for machine learning.
  • Model Training: Train classification models using state-of-the-art algorithms.
  • Model Deployment: Convert trained models to C++ code for deployment on microcontrollers.

Installation

To install the package, use pip:

pip install easyRTML

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

easyrtml-1.5.tar.gz (18.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

easyRTML-1.5-py3-none-any.whl (22.1 kB view details)

Uploaded Python 3

File details

Details for the file easyrtml-1.5.tar.gz.

File metadata

  • Download URL: easyrtml-1.5.tar.gz
  • Upload date:
  • Size: 18.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for easyrtml-1.5.tar.gz
Algorithm Hash digest
SHA256 95ed1f9071f8cf6784be53a40931d93e6ed58c4fd59daca222caf1fe05893348
MD5 54742fdabe507f2b3cf70ec05e75cbeb
BLAKE2b-256 5da9682d2beb4de113aea67491495f72a571173628890ee4bd3e89c931015520

See more details on using hashes here.

File details

Details for the file easyRTML-1.5-py3-none-any.whl.

File metadata

  • Download URL: easyRTML-1.5-py3-none-any.whl
  • Upload date:
  • Size: 22.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for easyRTML-1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 3aa39697a158b343e1999badf664a98c05f0121ee7745f1ea095eb8d9abe484a
MD5 0c82187b10b35a36a1cee06a2478fb77
BLAKE2b-256 828bb73fe9126bc82c69bd8f992594d93b3018d7f1908ab4bff34e742f728191

See more details on using hashes here.

Supported by

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