Create Crop

[Pritish-Sinha]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Implementation of an image cropping script for preprocessing.

📊 Key Changes

• Added a new MATLAB script file for image cropping.
• The script loads a grayscale image and computes its histogram.
• Performs thresholding to create a binary image.
• Implements dilation and area opening to improve blob detection.
• The script uses region properties to find bounding boxes and extracts each word.

🎯 Purpose & Impact

• 📈 Improve preprocessing steps by providing a dedicated image cropping function.
• 🔄 The feature assists in preparing images for better object detection performance.
• 🚀 Enhances the utility of the repository for users working with image preprocessing and word detection tasks.

[github-actions]

Hello @PuRgE-CoDeE, thank you for submitting a PR! To allow your work to be integrated as seamlessly as possible, we advise you to:

• Verify your PR is up-to-date with origin/master. If your PR is behind origin/master update by running the following, replacing 'feature' with the name of your local branch:

git remote add upstream https://github.com/ultralytics/yolov5.git
git fetch upstream
git checkout feature  # <----- replace 'feature' with local branch name
git rebase upstream/master
git push -u origin -f

• Verify all Continuous Integration (CI) checks are passing.
• Reduce changes to the absolute minimum required for your bug fix or feature addition. "It is not daily increase but daily decrease, hack away the unessential. The closer to the source, the less wastage there is." -Bruce Lee

[glenn-jocher]

@PuRgE-CoDeE Prediction box cropping is now available in YOLOv5 via PR #2827! PyTorch Hub models can use results.crop() or detect.py can be called with the --save-crop argument. Example usage:

python detect.py --save-crop