labelpix is a graphical image labeling interface for drawing bounding boxes

Related tags

Deep Learning gui deep-neural-networks computer-vision deep-learning image-annotation image-processing python3 yolo imagenet image-manipulation image-classification image-recognition object-detection image-segmentation bounding-boxes annotation-tool labeling-tool yolov2 yolov3 bounding-box-annotations
Overview

Welcome to labelpix πŸ‘‹

Version License: MIT

labelpix is a graphical image labeling interface for drawing bounding boxes.

Preview

🏠 Homepage

Install

pip install -r requirements.txt

Usage

python3 labelpix.py

Features

  • Preview and edit interfaces.
  • Save bounding box relative coordinates to csv / hdf formats.
  • Save relative object coordinates in yolo annotation.

Instructions

  • Upload photos.
  • Add labels to session labels(ex: Dog, Car ...)
  • Click on a photo from the photo list.
  • Click on the desired label from the labels you added.
  • Draw bounding boxes.
  • Switch photos by scrolling/clicking on images in the list.
  • Save data by entering filename_example.csv or filename_example.h5
  • You can also save to yolo formatted txt outputs.
  • For deleting any of the 3 right lists (session labels / Labels of the current image / Photo list) items, check item and press the delete button

Author

πŸ‘€ Emad Boctor

🀝 Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

Show your support

Give a ⭐️ if this project helped you!

πŸ“ License

Copyright Β© 2020 Emad Boctor.
This project is MIT licensed.

This README was generated with ❀️ by readme-md-generator

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