mccp 0.1.3

multi cam compose pro is used to take images in order to train a model

MultiCamComposePro - Manage multiple cameras using 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
    Manages multiple cameras and captures images.
    Loads camera configurations from a JSON file.
    Sorts camera angles based on the configuration.

main.py

Function: main()
    Orchestrates the camera identification, configuration, and image capturing process.

utils.py

Class: Warehouse
    Manages object names and their anomalies.
Class: CameraIdentifier
    Identifies and configures cameras.
Class: CameraConfigurator
    Additional camera setup.
Class: DataAugmenter
    Creates synthetic images based on images captured for training.

Configuration

camera_config.json: Holds the camera settings and order.

TODO

Make a modular grid of camera streams, i.e., not only a row but columns as well.

License

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