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pyslam

This project demonstrates a simple implementation of a monocular SLAM system using ORB feature detectors

Features

  • MP4 video loader
  • KITTI Odometry dataset loader
  • Point cloud visualizer

Requirements

  • Python 3.7+
  • numpy
  • OpenCV
  • g2o
  • pangolin

For g2o and pangolin python bindings, use the forks in my github.

Usage

  • For video files chmod +x system.py && ./system.py --type <VIDEO> --path <test.mp4>
  • For Kitti dataset chmod +x system.py && ./system.py --type <KITTI> --path </path/to/kitti/dataset/sequences/00>

License

All of this code is MIT licensed. Videos and libraries follow their respective licenses.