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 3.12+
  • 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-0.1.6.tar.gz (19.4 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-0.1.6-py3-none-any.whl (28.6 kB view details)

Uploaded Python 3

File details

Details for the file phenomate_core-0.1.6.tar.gz.

File metadata

  • Download URL: phenomate_core-0.1.6.tar.gz
  • Upload date:
  • Size: 19.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.9

File hashes

Hashes for phenomate_core-0.1.6.tar.gz
Algorithm Hash digest
SHA256 93ebf6aa6f2ebca9e5ff3e39fad9d301091c3df5709292a3176d5e1b5dc6027d
MD5 0533241e34fdb8b16799075b3021303a
BLAKE2b-256 c8383efe17d80f8943685b1aad53e5903b23cb42735db99f5509264318f453b2

See more details on using hashes here.

File details

Details for the file phenomate_core-0.1.6-py3-none-any.whl.

File metadata

File hashes

Hashes for phenomate_core-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 97f254bc2f307b0405bdb3e2b9760b6982416735fe51f8efeb5d477ec7b2a9ea
MD5 3fa2e012b4ffc7363bd2ef6868dea936
BLAKE2b-256 ffd951a8ca539b67a1b89cf2dc6615fe5bd3630e564b1eb0dd22b2612c66176a

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