Hi All,
We are happy to announce the initial release of [ros_openvino_toolkit](
https://github.com/intel/ros_openvino_toolkit). The [OpenVINO](
https://software.intel.com/en-us/openvino-toolkit) toolkit quickly deploys applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNN), the Toolkit extends computer vision (CV) workloads across Intel hardware, maximizing performance.
![OpenVINO-bench_1200x675|690x316](upload://64htWxtrzPX6OaF95QBYRW8lcvk.png)
This project is a ROS wrapper for CV API of [OpenVINO](
https://software.intel.com/en-us/openvino-toolkit), providing the following features:
Support CPU and GPU. FPGA and Movidius will be supported in the future.
Support standard USB camera and Intel RealSense camera.
Support person-attributes-recognition, including face detection, emotion recognition, age gender recognition and head pose recognition.
Demo application to show above detection and recognition.
This project has been open sourced in github:
https://github.com/intel/ros_openvino_toolkit. Please refer to [README](
https://github.com/intel/ros_openvino_toolkit/blob/master/README.md) file for more details about this project. We have tested it on RealSense D400 series camera and Standard USB camera. More features, such as object detection, vehicle-attributes-recognition and license-plate-recognition are under development and will be included in future release. Stay tuned. Welcome feedback and participation.
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https://discourse.ros.org/t/ros-openvino-toolkit-release-initial-version-v0-3-0/7058/1) or reply to this email to respond.
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