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
protocas needed
Contributing
Contributions are welcome! Please open issues or pull requests for bug fixes, features, or improvements.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file phenomate_core-0.1.3.tar.gz.
File metadata
- Download URL: phenomate_core-0.1.3.tar.gz
- Upload date:
- Size: 19.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ea8d1a7c516256fd5dc9ca8cecf8b293e64179b597470dbcefd4fcecd04220a1
|
|
| MD5 |
c2cae0d65e91bdf9599e51d3148524af
|
|
| BLAKE2b-256 |
94074c79f00beb51c365928545bda16d660db8cfc1d728d36eafbcd1cb56827d
|
File details
Details for the file phenomate_core-0.1.3-py3-none-any.whl.
File metadata
- Download URL: phenomate_core-0.1.3-py3-none-any.whl
- Upload date:
- Size: 28.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8a82da617108cd8b6ae7010b1b9db675c7a62a4a96b58c26282196216f4e343e
|
|
| MD5 |
8b6b1533e4bbb2faaf7d248ddd9a9738
|
|
| BLAKE2b-256 |
c2989756946ad3594dc1508f14747882b3f477576245a554f8b1c7018b7f3373
|