das-dataAugmentation - Python Image Data Augmentation Script

This Python script performs data augmentation on images in a specified input directory and saves the augmented images to a specified output directory. The following types of data augmentation are performed on each image:

• Random rotations
• Random crops
• Random brightness adjustments
• Random contrast adjustments

Dependencies

This script requires the following Python packages to be installed:

• OpenCV (cv2)
• NumPy
• Tkinter (included with Python)

Usage

1. Run the script in a Python environment that has the required dependencies installed.
2. Select the input directory containing the images to be augmented.
3. Select the output directory where the augmented images will be saved.
4. Enter the number of rotations, random crops, brightness adjustments, and contrast adjustments to be performed on each image.
5. Wait for the script to complete.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.