Skip to main content

Add your description here

Project description

phenomate-core

Overview

phenomate-core is a Python package for processing Phenomate sensor binaries to appropriate outputs.

Installation

Clone the repository and install dependencies:

git clone https://github.com/yourusername/phenomate-core.git
cd phenomate-core
make install

Installing libjpeg-turbo - Oak-d

Please see the official page for installing libjpeg-turbo for your operating system.

Installing Sickscan - Lidar

Usage

Example usage for extracting and saving images:

from phenomate_core import JaiPreprocessor

preproc = JaiPreprocessor(path="path/to/data.bin")
preproc.extract()
preproc.save(path="output_dir")

Development

  • Python 3.13+
  • Uses ruff and mypy for linting and type checking
  • Protobuf files should be compiled with protoc as needed

Contributing

Contributions are welcome! Please open issues or pull requests for bug fixes, features, or improvements.

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

phenomate_core-0.1.0.tar.gz (19.2 kB view details)

Uploaded Source

Built Distribution

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

phenomate_core-0.1.0-py3-none-any.whl (28.2 kB view details)

Uploaded Python 3

File details

Details for the file phenomate_core-0.1.0.tar.gz.

File metadata

  • Download URL: phenomate_core-0.1.0.tar.gz
  • Upload date:
  • Size: 19.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.9

File hashes

Hashes for phenomate_core-0.1.0.tar.gz
Algorithm Hash digest
SHA256 cc5e8359597d1223ad4b5a363b82c3e354db18ba84753259f48836c0e93c379b
MD5 48e8c537304baafed1317d0ce1d548cc
BLAKE2b-256 62d23dc174d663d592932a14d38ee611cb740bd8d2dc20c49a71dcfc7d8bf000

See more details on using hashes here.

File details

Details for the file phenomate_core-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for phenomate_core-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f46bfe983faf297b76e817d5a56cf4d930eb80b4e70f0418be2ad1c60c226468
MD5 2c52f0b5ad058cde958e1b0e47a34c43
BLAKE2b-256 c9da2fc6c4826e2ae20847863317ca4998f738dc6670b87dd81e38e4ba418bfc

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