NVIDIA-ISAAC-ROS/isaac_ros_dnn_inference
NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU
This helps robotics engineers and developers integrate high-performance AI perception into their robotic systems. It takes raw sensor data like camera images and, using pre-trained deep neural networks, outputs real-time insights such as detected objects (e.g., people bounding boxes) or segmented areas. This is designed for professionals building autonomous robots, industrial automation, or other intelligent machines that need to understand their environment quickly.
130 stars.
Use this if you need to run deep learning models for perception tasks like object detection or segmentation on a robotic platform using ROS 2, and require NVIDIA GPU-accelerated performance.
Not ideal if your robotics application does not use ROS 2, you lack access to NVIDIA GPUs, or you are looking for a tool to train deep learning models rather than deploy them.
Stars
130
Forks
17
Language
C++
License
Apache-2.0
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
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