A Python package for simulating skylight polarization sensor recordings using advanced polarization models (including Pan, Berry, and Rayleigh). Designed for researchers and engineers, this tool enables the generation of synthetic datasets for biomimetic navigation, machine learning, computer vision, and atmospheric optics. Ideal for developing and testing bio-inspired sensors, building training data for AI models, and exploring applications in robotics, remote sensing, and environmental monitoring.
Project description
PySkyLumos
A Python package for simulating skylight polarization sensor recordings using advanced polarization models (including Pan, Berry, and Rayleigh). Designed for researchers and engineers, this tool enables the generation of synthetic datasets for biomimetic navigation, machine learning, computer vision, and atmospheric optics. Ideal for developing and testing bio-inspired sensors, building training data for AI models, and exploring applications in robotics, remote sensing, and environmental monitoring.
Documentation and others to be written.
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 pyskylumos-0.0.5.tar.gz.
File metadata
- Download URL: pyskylumos-0.0.5.tar.gz
- Upload date:
- Size: 9.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f77bb985813db36e6f1124c776e448ea8a8b66324a31073af39049a7d8d5af0e
|
|
| MD5 |
76bd85713d467d80104682c23225595a
|
|
| BLAKE2b-256 |
22c4de5de0215733cb87b0b3e0f606aca7bc6c8bb216a97e46d802de132b2929
|
File details
Details for the file pyskylumos-0.0.5-py3-none-any.whl.
File metadata
- Download URL: pyskylumos-0.0.5-py3-none-any.whl
- Upload date:
- Size: 15.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
41f4ddb2d16dd322d1b52cfdfd394f149687e38c7a33e1a014a9c46117ae61c2
|
|
| MD5 |
7965a2f376c565f42eb1db33ea30c0bb
|
|
| BLAKE2b-256 |
f539f7d514f6c6189135c56d37a4e0d80b57b682776c50a5f76a61f043108070
|
