Update README.md

Author: larsdpeder

README.md

@@ -1,13 +1,24 @@
 # iPhone Image Prepare for LoRA Training
 
-This script prepares iPhone images for LoRA (Low-Rank Adaptation) training by stripping metadata and optionally rotating images.
+This script prepares iPhone images for LoRA (Low-Rank Adaptation) training by addressing common issues with image orientation and metadata.
+
+## Problem Statement
+
+When training LoRA models with images from an iPhone, a common issue arises: the LoRA training process doesn't read the image metadata correctly, particularly the orientation information. This can result in training on images that appear rotated incorrectly. For example, a vertical image of a bottle might be processed as if it were lying on its side.
+
+This script solves this problem by:
+1. Stripping the metadata from the images, including orientation information.
+2. Optionally rotating the images 90 degrees clockwise to ensure correct orientation.
+
+By preprocessing your iPhone images with this script, you can ensure that your LoRA model trains on correctly oriented images, improving the quality and accuracy of your results.
 
 ## Features
 
-- Strips metadata from images
-- Optional 90-degree clockwise rotation
+- Strips metadata from images, resolving orientation issues
+- Optional 90-degree clockwise rotation to correct image orientation
 - Supports various image formats (JPG, PNG, etc.)
 - Skips hidden files and non-image files
+- User-friendly prompts for input and output folders
 
 ## Requirements
 
@@ -32,18 +43,19 @@ python iphone_image_prepare_for_lora.py
 ```
 
 Follow the prompts to enter:
-1. Input folder path
-2. Output folder path
-3. Whether to rotate images (y/n)
+1. Input folder path (where your original iPhone images are stored)
+2. Output folder path (where the processed images will be saved)
+3. Whether to rotate images (y/n) - use this if your images need 90-degree rotation
+
+The script will process all valid images in the input folder and save the corrected versions to the output folder.
 
-The script will process all valid images in the input folder and save them to the output folder.
+## Best Practices for LoRA Training
 
-## Notes
+- Always check a sample of your processed images before training to ensure correct orientation.
+- If you notice images are still incorrectly oriented after processing, try running the script again with the rotation option set to the opposite of your previous choice.
+- Consistent image orientation is crucial for effective LoRA training, especially for models that are sensitive to object orientation (e.g., models for recognizing or generating specific objects or scenes).
 
-- Ensure you have sufficient disk space in the output location.
-- The script preserves original filenames.
-- Invalid or non-image files are skipped with a notification.
 
-## License
+## Contributing
 
-This project is open source and available under the [MIT License](LICENSE).
+Contributions to improve the script or documentation are welcome. Please feel free to submit a pull request or open an issue if you have suggestions or encounter problems.