OpenVINO™#
OpenVINO™ is the primary toolkit for optimizing and deploying deep-learning inference in Robotics AI Suite applications. It supports models from common frameworks and can target available Intel compute devices.
Use the current OpenVINO™ installation documentation for the selected environment.
Software Solutions#
OpenVINO™ software solutions cover object detection, segmentation, and RealSense camera workflows.
Run semantic segmentation on RealSense image data using OpenVINO™ inference.
Deploy object-detection workloads with ROS 2 camera inputs and OpenVINO™ acceleration.
Process multiple camera streams in a single OpenVINO™-powered demo pipeline.
Use a YOLOv8 model with OpenVINO™ for accelerated object detection on robotics systems.
Optimize and deploy perception, manipulation, and vision-language-action models with OpenVINO™.
Convert, compress, benchmark, and validate the Pi0.5 vision-language-action model.
Additional Guidance#
OpenVINO™ Supported Models includes reusable perception, manipulation, and foundation-model guidance. The workflows require the platform getting-started guide when used with the Humanoid Toolkit.
Benchmarking#
Use the upstream OpenVINO™ Benchmark Tool to estimate deep-learning inference throughput and latency on supported Intel devices. Install OpenVINO™ and its samples with the OpenVINO™ sample guidance before benchmarking.
Use the same OpenVINO™ version to convert a model and to run inference unless the model’s documentation explicitly supports a different compatibility path.