The OpenDR Toolkit version 2.0 has been released!
We are glad to announce that the Open Deep Learning Toolkit for Robotics (OpenDR) 𝘃𝗲𝗿𝘀𝗶𝗼𝗻 2.0 was just released! This new version of the toolkit includes several improvements, such as new tools for object detection, efficient continual inference, tracking, emotion estimation and high resolution pose estimation! Furthermore, this version includes a refined ROS interface, along with support for ROS2. You can download the toolkit through GitHub, pip, and Docker Hub!
Some of the most important updates are listed below:
– Added support for Continual Transformer Encoders
– Added Continual Spatio-Temporal Graph Convolutional Networks tool
– Added AmbiguityMeasure utility tool
– Added Facial Emotion Estimation tool
– Added High Resolution Pose Estimation tool
– Added support for Continual Transformer Encoders
– Added Continual Spatio-Temporal Graph Convolutional Networks tool
– Added AmbiguityMeasure utility tool
– Added Facial Emotion Estimation tool
– Added High Resolution Pose Estimation tool
– Refined documentation and installation instructions
– Revised ROS interface and added support for ROS2
– Several bugfixes and performance optimizations
We look forward to receiving your feedback, bug reports, and suggestions for improvements at https://github.com/opendr-eu/opendr !