OpenDR toolkit (source distribution)

The aim of OpenDR Project is to develop a modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning to provide advanced perception and cognition capabilities, meeting in this way the general requirements of robotics applications in the applications areas of healthcare, agri-food and agile production. OpenDR provides the means to link the robotics applications to software libraries (deep learning frameworks, e.g., PyTorch and Tensorflow) to the operating environment (ROS). This asset contains the source distribution of the OpenDR toolkit v.2.1.0.

Library

Developed by
License
Apache License 2.0 (Apache-2.0)

Main Characteristic

The v2.1.0 of the OpenDR toolkit was released on 22 February 2023 and includes the following:

New Features:

  • Added Efficient LiDAR Panoptic Segmentation (#359).
  • Added Nanodet 2D Object Detection tool (#352).
  • Added C API implementations of NanoDet 2D Object Detection tool (#352).
  • Added C API implementations of forward pass of DETR 2D Object Detection tool (#383).
  • Added C API implementations of forward pass of DeepSORT 2D Object Tracking tool (#383).
  • Added C API implementations of forward pass of Lightweight OpenPose, Pose Estimator tool (#383).
  • Added C API implementations of forward pass of X3D 2D Activity Recognition tool (#383).
  • Added C API implementations of forward pass of Progressive Spatiotemporal GCN Skeleton-based Action Recognition tool (#383).
  • Added Binary High Resolution Analysis tool (#402).
  • Added Multi-Object-Search tool (#363)

Enhancements:

  • Added support in C API for detection target structure and vector of detections (#352)
  • Added support in C API for tensor structure and vector of tensors (#383)
  • Added support in C API for json parser (#383)
Technical Categories
Computer vision Machine learning Robotics and automation
Business Categories
Agriculture Healthcare Manufacturing
Last updated
02.05.2023 - 08:52
Detailed Description

Detailed usage instruction can be found in OpenDR wiki (also included in the AI Asset).