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We know how painful it can be to process large amounts of data for labeling, especially when you don't have an organized dataset structure. That's why we developed ImageEnchancer! This library is designed to help developers working with computer vision in the pre-processing and data augmentation phases for images in large datasets.

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Image Enhancer banner

We know how painful it can be to process large amounts of data for labeling, especially when you don't have an organized dataset structure. That's why we developed ImageEnchancer! This library is designed to help developers working with computer vision in the pre-processing and data augmentation phases for images in large datasets.

Documentation | v0.1.0 🚀

Installation

ImageEnhancer Package
cd <your dir>
git clone https://github.com/brain-facens/image-enhancer.git

# Create the env with pyvenv
cd <your dir>/image-enhancer

# Install the necessary libraries
pip install -r requirements.txt

OBS.: Change the paths on ImageEnhancer.py to your need.

Running:

cd <your dir>/image-enhancer
python ImageEnhancer.py
Help with code

Need help understanding the code? Use the following command to better understand the application within your python script:

import ImageEnhancer 
help(ImageEnhancer())

🤝 Collaborators

We would like to thank the following people who contributed to this project:

Foto do Natanael Vitorino no GitHub
Natanael Vitorino

📝 License

This project is under license. See the file LICENSE for more details.


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We know how painful it can be to process large amounts of data for labeling, especially when you don't have an organized dataset structure. That's why we developed ImageEnchancer! This library is designed to help developers working with computer vision in the pre-processing and data augmentation phases for images in large datasets.

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