Metadata-Version: 2.2
Name: spssdecode
Version: 0.1.0
Summary: A library to decode star maps into structured data.
Home-page: https://github.com/yourusername/spssdecode
Author: Sumedh Patil
Author-email: admin@aipresso.uk
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# spssdecode

The `spssdecode` library decodes captured star maps into structured data (e.g., positions, colors, animations). It extracts session-specific information and analyzes visual patterns like star positions, twinkling patterns, and gradients.

## Installation

Install the library using pip:

```bash
pip install spssdecode

USAGE:
from spssdecode.decoder import Decoder
import numpy as np

# Initialize the Decoder
decoder = Decoder()

# Example image data (replace with real image data)
image_data = np.zeros((400, 400, 3), dtype=np.uint8)
center = (200, 200)
boundary_radius = 150
image_data[190:200, 190:200] = 255  # Bright region (simulating a star)

# Decode the star map
decoded_data = decoder.decode_star_map(image_data, center, boundary_radius)

print(decoded_data)
```
