Fabel/mpenn
Fabel
/
mpenn
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Merge pull request 'Changes to the README FIle to improve its quality.' (#14) from Readme_addition into main 

Reviewed-on: http://192.168.178.135:3000/Fabelous/MPENN/pulls/14
This commit is contained in:
Falko Victor Habel 2024-03-13 08:21:21 +00:00
parent db5a0ec02f f2892f3f4c
commit 1b207259a2
1 changed files with 18 additions and 23 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

39
README.md
View File

@ -1,37 +1,32 @@
# MPENN - Massive Picture Editing for Neural Networks
MPENN is a cutting-edge software solution designed to revolutionize the way we handle image processing and editing, particularly for applications involving neural networks. This versatile tool combines the functionality of a video-to-picture converter with a powerful editor, allowing for the quick and efficient manipulation and scaling of images in large volumes. Whether you're working on machine learning datasets, enhancing digital media assets, or simply need a robust tool for bulk image editing, MPENN is your go-to solution.
MPENN is a simple software solution designed to transform the way we process and edit large volumes of images, particularly in applications involving neural networks. This versatile tool combines video-to-picture conversion capabilities with an advanced image editor, enabling users to manage and manipulate images efficiently at scale. Whether you are working on machine learning datasets, enhancing digital media assets, or require a robust tool for bulk image editing, MPENN is the ideal solution for your needs.
## Features
MPENN provides a suite of powerful features designed to streamline the process of converting, editing, and managing large sets of images. Here's what you can expect:
MPENN provides a comprehensive set of features designed to streamline the process of converting, editing, and managing large sets of images. Here's what you can expect:
- **Video to Picture Sequence Conversion**: Effortlessly convert videos into sequences of high-quality images, ready for editing or analysis.
- **Video Conversion**: Effortlessly convert videos into sequences of high-quality images, ready for further processing or analysis.
- **Fast Resize Capabilities**: Quickly adjust the sizes of your images to meet specific requirements without compromising on quality.
- **Fast Image Resizing**: Quickly adjust the sizes of your images to meet specific requirements without compromising on quality.
- **Bounding Boxes with Customization**: Annotate your images with bounding boxes. MPENN allows you to customize these boxes with a variety of colors and thicknesses to suit your needs.
- **Customizable Bounding Boxes**: Annotate your images with bounding boxes and customize their appearance with various colors and thicknesses to suit your needs.
- **Data Tracking and Management**: For each output folder, MPENN generates a detailed `.json` file. This file contains important information about each image, including bounding box details, making it easier to manage and analyze your data.
- **Data Tracking and Management**: For each output folder, MPENN generates a detailed `.json` file that contains important information about each image, including bounding box details. This helps you manage and analyze your data more efficiently.
With these features, MPENN streamlines the workflow for users who need to process and analyze images at scale, particularly those working with neural networks and AI applications.
With these features, MPENN significantly simplifies the workflow for users who need to process and analyze images at scale, especially those working with neural networks and AI applications.
# Getting Started with MPENN
Welcome to MPENN, your comprehensive tool for massive picture editing for neural networks. Follow these steps to get up and running with MPENN, and begin transforming your videos and images into machine learning-ready datasets.
Welcome to MPENN, a comprehensive tool designed to streamline massive picture editing tasks for neural networks. Follow these steps to get started with MPENN and begin transforming your videos and images into machine learning-ready datasets.
## 1. Download MPENN
First, you need to obtain the MPENN software. You can download it from its Gitea repository. Use the link below to navigate to the repository, and then download the latest release suited for your operating system.
https://gitea.example.com/mpenn/releases
*Note: Replace the URL above with the actual Gitea repository link.*
To start using MPENN, first obtain the software by downloading it from its [Gitea repository](https://gitea.example.com/mpenn/mpenn). Click on the latest release suitable for your operating system to begin the download process.
## 2. Setting Up Your Environment
After downloading MPENN, it's recommended to create a virtual environment (venv) for running the software. This ensures that your Python environment remains clean and organized. Open your terminal or command prompt and navigate to the MPENN directory. Then, run the following commands:
After downloading MPENN, it's recommended to set up a virtual environment (venv) for running the software. This ensures that your Python environment remains clean and organized. Open your terminal or command prompt and navigate to the MPENN directory. Then, run the following commands:
```bash
# Create a virtual environment named 'mpenn-env'
@ -49,28 +44,28 @@ pip install -r requirements.txt
## Running MPENN
With your environment set up, you're ready to launch MPENN. Run the `main.py` File to get started
With your environment set up, you're ready to launch MPENN. Run the `main.py` File to get started:
### 1. Converting Video to Picture Sequence
If you're starting with a video, MPENN makes it easy to convert it into a sequence of images. Use the video-to-picture feature to specify your video file and the output directory for the images.
### 2. Processing Image Sequences
Whether you've generated your images from a video or already have a sequence of images, you can start editing them with MPENN. You can:
- Resize Images: Quickly adjust the resolution of your images to fit your requirements.
- Create Bounding Boxes: Annotate your images with bounding boxes for object detection tasks.
## Documentation
Will follow soon.
In-depth documentation on using MPENN will be available soon.
## License
MPENN is made available under the [Attribution-NonCommercial-ShareAlike 4.0](.../.././LICENSE). For more details, see the LICENSE file.
MPENN is made available under the [Attribution-NonCommercial-ShareAlike 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) license. For more details, please refer to the [LICENCE](.../.././LICENSE) file included in the distribution.
## Connect with Us
## Connect with Me
Stay updated with the latest news and updates about MPENN by following us on our social media channel(s):
Stay updated on the latest news and updates about MPENN by following us on our social media channels:
- [LinkedIn](https://www.linkedin.com/in/FalkoHabel/)