leggedrobotics/darknet_ros
A ROS wrapper that runs the Darknet/YOLO deep neural network for real-time object detection on robot camera images.
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This ROS package integrates the Darknet framework and YOLOv3 neural network to perform real-time object detection on images from robot cameras. It supports GPU and CPU inference modes and comes with pre-trained weights for Pascal VOC (20 classes) and COCO (80 classes) datasets. The package was developed by ETH Zurich’s Robotic Systems Lab for deployment on legged robots.
Frequently asked
- What is leggedrobotics/darknet_ros?
- A ROS wrapper that runs the Darknet/YOLO deep neural network for real-time object detection on robot camera images.
- Is darknet_ros open source?
- Yes — leggedrobotics/darknet_ros is open source, released under the BSD-3-Clause license.
- What language is darknet_ros written in?
- leggedrobotics/darknet_ros is primarily written in C++.
- How popular is darknet_ros?
- leggedrobotics/darknet_ros has 2.4k stars on GitHub.
- Where can I find darknet_ros?
- leggedrobotics/darknet_ros is on GitHub at https://github.com/leggedrobotics/darknet_ros.