mccp 0.2.0

A Python package designed for capturing images from multiple cameras simultaneously. MCCP simplifies the process of data collection for machine learning models and setting up computer vision applications.

Welcome to Multi Cam Compose Pro

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:

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:

cd path/to/mccp
mkdocs serve

Contact

PyPi page: MCCP
Github: our GitHub

Contributing

We welcome contributions to the MCCP project! If you're interested in contributing, please checkout the information here.

Support

If you encounter any issues or have questions, please file them on our GitHub issues page.

License

This project is licensed under the MIT License - see the LICENSE file for details.