The final version of the OpenDR toolkit has been released!

The final version (v3.0) of the Open Deep Learning Toolkit for Robotics (OpenDR) has just been released! This version includes lots of new tools for face recognition, pose estimation, human detection, object detection, gesture recognition, fall and wave detection, demos etc ! More specifically it includes:

  • Binary High Resolution Learner
  • ROS2 node for EfficientLPS
  • Fall and wave detection ROS nodes
  • Continual SLAM: Adds a new SLAM tool for Continual SLAM
  • Add RGB gesture recognition
  • FSeq2-NMS
  • Intent recognition tool
  • Robotti human detection simulation demo
  • Object Detection 2D Class Filtering
  • RL-based Learner for Active Face Recognition
  • YOLOv5s Inference Demo with Optimized Weights for Agricultural Use
  • Adaptive HR Pose Estimation

The toolkit is available through GitHub, pip, and Docker Hub

We look forward to receiving your feedback at https://github.com/opendr-eu/opendr