BboxToolkit is a light codebase collecting some practical functions for the special-shape detection, such as oriented detection. The whole project is written by python, which can run in different platform without compliation. We use this project to support the oriented detection benchmark OBBDetection.

news: We are now developing the BboxToolkit v2.0 intended to support the new OBBDetection based on MMdetection v2.10.

• Various type of Bboxes

  We define three different type of bounding boxes in BboxToolkit. They are horizontal bounding boxes (HBB), oriented bounding boxes (OBB), and 4 point polygon (POLY). Each type of boxes can convert to others easily.

• Convinence for usage

  The functions in BboxToolkit will decide the box type according to the input shape. There is no need to concern about the input box type, when use BboxToolkit.

This project is released under the Apache 2.0 license

BboxToolkit requires following dependencies:

• Python > 3
• Numpy
• Opencv-python
• Shapely
• Terminaltables
• Pillow

BboxToolkit will automatically install dependencies when you install, so this section is mostly for your reference.

git clone https://github.com/jbwang1997/BboxToolkit
cd BboxToolkit
pip install -v -e . # or "python setup.py develop"

Please reference USAGE.md for detail.

BboxToolkit refers to DOTA_devkit, MMCV, and MMDetection. DOTA_devkit is the toolbox for DOTA Dataset MMCV is a foundational python library for computer vision. MMDetection is an open source object detection toolbox based on PyTorch.