Detect objects in camera images using a real-time system on your computer.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeYOLO ROS: Real-Time Object Detection for ROS
darknet_ros has 2.4k stars on GitHub. It has been forked 1.2k times. darknet_ros is written mainly in C++. It has been in active development since 2017. darknet_ros is available under the BSD-3-Clause license. Its main topics are computer-vision, darknet, darknet-ros, deep-learning.
What is darknet_ros?
YOLO ROS: Real-Time Object Detection for ROS
Is darknet_ros open source?
darknet_ros is an open-source project. It is released under the BSD-3-Clause license.
Is darknet_ros free?
Yes. darknet_ros is free and open source — you can use, modify and self-host it.
What license does darknet_ros use?
darknet_ros is available under the BSD-3-Clause license.
What language is darknet_ros written in?
darknet_ros is written mainly in C++.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/leggedrobotics-darknet-ros.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.