mccp 0.1.4

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.

MultiCamComposePro - Manage multiple cameras in Python

MCCP

Overview

• 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.

Requirements

- Python 3.10
- OpenCV
- JSON for configuration

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.

Contributing

Information on how to contribute available here.

License

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