multi cam compose pro is used to take images in order to train a model
Project description
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
- 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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mccp-0.1.0.tar.gz
(11.6 kB
view hashes)
Built Distribution
mccp-0.1.0-py3-none-any.whl
(12.7 kB
view hashes)