# Welcome to Multi Cam Compose Pro
<div align="center">
<img src="assets/logo.png" alt="My Project Logo" width="200"/>
</div>
## Overview
- Multi Cam Compose Pro (MCCP) is a powerful tool designed to streamline and enhance multi-camera video composition workflows. It offers a range of features and functionalities to make multi-camera video editing more efficient and user-friendly.
## Features
- This project aims to capture images of objects from multiple camera angles and detect anomalies. It uses OpenCV for image capturing and provides a modular approach to manage camera configurations and image storage.
## Getting Started
# MultiCamComposePro - Manage multiple cameras in Python
## MCCP
### Requirements
- Python 3.10
- OpenCV
- JSON for configuration
- mkdocs, mkdocstrings, mkdocs-material
- pytest
### Installation
1. Install package:
```bash
pip install mccp
```
## Usage
Run the main.py script to start the application:
python main.py
## Modules
### camera.py
Class: CameraManager
Manage and capture images.
Load camera configurations from JSON file.
Sort and display camera angles based on configuration.
### main.py
Function: main()
Run camera identification, configuration, and image capturing process.
### augment.py
Class: DataAugmenter
Create synthetic data from captured images.
### utils.py
Class: Warehouse
Manage object names and setup directories.
Class: CameraConfigurator
Find and configure all connected cameras.
Configure exposure and white balance.
Function: batch_resize()
Post-capture resize.
Function: wcap():
Allow optimized image capture on Windows OS.
Function: view_camera()
View camera feed for any connected camera.
### Configuration
camera_config.json: Holds the camera settings and order.
## Documentation
For full documentation run:
```bash
cd path/to/mccp
mkdocs serve
```
## Contact
PyPi page: [MCCP](https://pypi.org/project/mccp/)
Github: [our GitHub](https://github.com/wlinds/mccp)
## Contributing
We welcome contributions to the MCCP project! If you're interested in contributing, please checkout the information [here.](https://github.com/wlinds/mccp/blob/main/CONTRIBUTING.md)
## Support
If you encounter any issues or have questions, please file them on our [GitHub issues page](https://github.com/wlinds/mccp/issues).
### License
This project is licensed under the MIT License - see the LICENSE file for details.
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"description": "# Welcome to Multi Cam Compose Pro\r\n<div align=\"center\">\r\n <img src=\"assets/logo.png\" alt=\"My Project Logo\" width=\"200\"/>\r\n</div>\r\n\r\n## Overview\r\n- Multi Cam Compose Pro (MCCP) is a powerful tool designed to streamline and enhance multi-camera video composition workflows. It offers a range of features and functionalities to make multi-camera video editing more efficient and user-friendly.\r\n\r\n## Features\r\n\r\n- This project aims to capture images of objects from multiple camera angles and detect anomalies. It uses OpenCV for image capturing and provides a modular approach to manage camera configurations and image storage.\r\n\r\n## Getting Started\r\n\r\n# MultiCamComposePro - Manage multiple cameras in Python\r\n## MCCP\r\n\r\n\r\n### Requirements\r\n\r\n - Python 3.10\r\n - OpenCV\r\n - JSON for configuration\r\n - mkdocs, mkdocstrings, mkdocs-material\r\n - pytest\r\n\r\n### Installation\r\n\r\n1. Install package:\r\n\r\n```bash\r\npip install mccp\r\n```\r\n\r\n\r\n## Usage\r\n\r\nRun the main.py script to start the application:\r\n\r\n python main.py\r\n\r\n## Modules\r\n### camera.py\r\n\r\n Class: CameraManager\r\n Manage and capture images.\r\n Load camera configurations from JSON file.\r\n Sort and display camera angles based on configuration.\r\n\r\n### main.py\r\n\r\n Function: main()\r\n Run camera identification, configuration, and image capturing process.\r\n\r\n### augment.py\r\n Class: DataAugmenter\r\n Create synthetic data from captured images.\r\n\r\n### utils.py\r\n\r\n Class: Warehouse\r\n Manage object names and setup directories.\r\n\r\n Class: CameraConfigurator\r\n Find and configure all connected cameras.\r\n Configure exposure and white balance.\r\n\r\n Function: batch_resize()\r\n Post-capture resize.\r\n\r\n Function: wcap():\r\n Allow optimized image capture on Windows OS.\r\n\r\n Function: view_camera()\r\n View camera feed for any connected camera.\r\n\r\n### Configuration\r\n\r\n camera_config.json: Holds the camera settings and order.\r\n\r\n## Documentation\r\n\r\nFor full documentation run:\r\n\r\n```bash\r\ncd path/to/mccp\r\nmkdocs serve\r\n```\r\n\r\n## Contact\r\n\r\nPyPi page: [MCCP](https://pypi.org/project/mccp/) \r\nGithub: [our GitHub](https://github.com/wlinds/mccp)\r\n\r\n\r\n## Contributing\r\n\r\nWe welcome contributions to the MCCP project! If you're interested in contributing, please checkout the information [here.](https://github.com/wlinds/mccp/blob/main/CONTRIBUTING.md)\r\n\r\n\r\n## Support\r\n\r\nIf you encounter any issues or have questions, please file them on our [GitHub issues page](https://github.com/wlinds/mccp/issues).\r\n\r\n\r\n### License\r\n\r\nThis project is licensed under the MIT License - see the LICENSE file for details.\r\n",
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