Metadata-Version: 2.4
Name: smart_floorplan_predictor
Version: 0.1.0
Summary: A package for making predictions using a pre-trained ONNX floorplan model
Home-page: https://github.com/Resipedia/domusview_epc_floorplan_image_detection
Author: BaseTeach
Project-URL: Bug Tracker, https://github.com/Resipedia/domusview_epc_floorplan_image_detection/issues
Project-URL: Source, https://github.com/Resipedia/domusview_epc_floorplan_image_detection
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: onnxruntime>=1.12.0
Requires-Dist: numpy>=1.19.0
Requires-Dist: requests>=2.25.0
Requires-Dist: Pillow>=10.0.0
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: project-url
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# Smart Floorplan Predictor

A Python package for making predictions using a pre-trained ONNX floorplan model.

## Installation

```bash
pip install smart-floorplan-predictor
```

## Usage

```python
from smart_floorplan_predictor import FloorplanPredictor

# Initialize the predictor
predictor = FloorplanPredictor()

# Make a prediction
# Replace input_data with your actual input data format
result = predictor.predict(input_data)
print(result)
```

## Features

- Automatic model downloading if not present locally
- Easy-to-use prediction interface
- ONNX runtime integration
- Built-in input preprocessing

## Requirements

- Python >= 3.7
- onnxruntime
- numpy
- requests

## License

MIT License

## Author

BaseTeach
