Hi All,
We are happy to announce the initial release of [ros2_openvino_toolkit](
https://github.com/intel/ros2_openvino_toolkit). The [OpenVINO toolkit](
https://software.intel.com/en-us/openvino-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.
This project is a ROS2 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 Video and Image file as detection source
* 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/ros2_openvino_toolkit. Please refer to [README](
https://github.com/intel/ros2_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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&References=topic/6234@discourse.ros.org&In-Reply-To=topic/6234@discourse.ros.org&CC=%22Li%20Chao%20via%20ros-users%22%20<noreply@ros.org>,%20%22Li%20Chao%22%20<ros.discourse@gmail.com>&Body=2018-09-30%2007:05,%20skrev%20Li%20Chao%20via%20ros-users:%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20Hi%20All,%0A>%20%0A>%20%0A>%20%0A>%20We%20are%20happy%20to%20announce%20the%20initial%20release%20of%20%5Bros2_openvino_toolkit%5D(https://github.com/intel/ros2_openvino_toolkit).%20The%20%5BOpenVINO%20toolkit%5D(https://software.intel.com/en-us/openvino-toolkit)%20quickly%20deploys%20applications%20and%20solutions%20that%20emulate%20human%20vision.%20Based%20on%20Convolutional%20Neural%20Networks%20(CNN),%20the%20Toolkit%20extends%20computer%20vision%20(CV)%20workloads%20across%20Intel%20hardware,%20maximizing%20performance.%0A>%20%0A>%20!%5BOpenVINO-bench_1200x675%7C690x316%5D(upload://64htWxtrzPX6OaF95QBYRW8lcvk.png)%20%0A>%20%0A>%20%0A>%20%0A>%20This%20project%20is%20a%20ROS2%20wrapper%20for%20CV%20API%20of%20%5BOpenVINO%5D(https://software.intel.com/en-us/openvino-toolkit),%20providing%20the%20following%20features:%0A>%20%0A>%20%0A>%20%0A>%20*%20Support%20CPU%20and%20GPU.%20FPGA%20and%20Movidius%20will%20be%20supported%20in%20the%20future.%0A>%20%0A>%20*%20Support%20standard%20USB%20camera%20and%20Intel%20RealSense%20camera%0A>%20%0A>%20*%20Support%20Video%20and%20Image%20file%20as%20detection%20source%0A>%20%0A>%20*%20Support%20person-attributes-recognition,%20including%20face%20detection,%20emotion%20recognition,%20age%20gender%20recognition%20and%20head%20pose%20recognition.%0A>%20%0A>%20*%20Demo%20application%20to%20show%20above%20detection%20and%20recognition.%0A>%20%0A>%20%0A>%20%0A>%20This%20project%20has%20been%20open%20sourced%20in%20github:%20https://github.com/intel/ros2_openvino_toolkit.%20Please%20refer%20to%20%5BREADME%5D(https://github.com/intel/ros2_openvino_toolkit/blob/master/README.md)%20file%20for%20more%20details%20about%20this%20project.%20We%20have%20tested%20it%20on%20RealSense%20D400%20series%20camera%20and%20Standard%20USB%20camera.%20More%20features,%20such%20as%20object%20detection,%20vehicle-attributes-recognition%20and%20license-plate-recognition%20are%20under%20development%20and%20will%20be%20included%20in%20future%20release.%20Stay%20tuned.%20Welcome%20feedback%20and%20participation.%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20---%0A>%20%0A>%20%5BVisit%20Topic%5D(https://discourse.ros.org/t/ros2-openvino-toolkit-release-initial-version-v0-3-0/6234/1)%20or%20reply%20to%20this%20email%20to%20respond.%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20%0A>%20If%20you%20do%20not%20want%20to%20receive%20messages%20from%20ros-users%20please%20use%20the%20unsubscribe%20link%20below.%20If%20you%20use%20the%20one%20above,%20you%20will%20stop%20all%20of%20ros-users%20from%20receiving%20updates.%0A>%20______________________________________________________________________________%0A>%20ros-users%20mailing%20list%0A>%20ros-users@lists.ros.org%0A>%20http://lists.ros.org/mailman/listinfo/ros-users%0A>%20Unsubscribe:%20<http://lists.ros.org/mailman//options/ros-users>%0A>%20%0A>%20 "Besvar denne besked")
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