zhangyi1357
036bd5bef9
feat: add aimrt_py benchmark publisher and subscriber applications (#28)
* feat: add aimrt_py benchmark publisher and subscriber applications Introduce new benchmark publisher and subscriber modules, enabling performance testing with custom configuration. Includes necessary YAML configuration files and scripts for simulation of message publishing and receiving. * style: correct message size formatting Update the log message to use "bytes" for clarity and consistency in reporting metrics. * feat: add python benchmark example and update dependencies Introduce an aimrt_py benchmark example for Python testing. Replace boost dependency with the standalone asio library to reduce overall dependencies and enhance configuration options for zenoh and mqtt. * feat: add aimrt_py channel benchmark example Introduce a new benchmark example for aimrt_py to enhance Python benchmarking capabilities and provide clearer insights into performance metrics. * format code * style: format loss rate output Remove the percentage symbol from the loss rate display for a cleaner presentation. * docs: update release notes for v0.9.0 Clarify new features, config options, and dependency changes, including the addition of the aimrt_py channel benchmark example and removal of boost dependencies in favor of asio. * docs: add benchmark example to Python interfaces section Include a new link for the pb_chn_bench example to enhance the documentation and provide users with more comprehensive usage scenarios. * docs: add README for protobuf channel benchmark example Provide instructions on setting up and running a Python channel benchmark using protobuf with HTTP backend. Include details on core modules, configuration, and execution steps to enhance usability and understanding. * docs: update installation instructions to link to quick start guide Enhance user experience by providing direct access to the installation guide for the `aimrt_py` package, improving clarity and reducing search time for new users. * docs: correct grpc reference in README Update the section title to accurately reflect the protocol being used, enhancing clarity for users.
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AimRT
Full project details on aimrt.org。
Brief
- AimRT is a basic runtime framework for the field of modern robotics. It is developed based on modern C++, is lightweight and easy to deploy, and has more modern designs in resource management and control, asynchronous programming, deployment configuration, etc.
- AimRT is committed to integrating the research and development of various deployment scenarios such as robot end-side, edge end, and cloud. It serves modern AI- and cloud-based robot applications and provides modern and complete debugging and performance analysis tools, as well as good observability support.
- AimRT also provides a comprehensive plug-in development interface, which is highly scalable and compatible with ROS2, HTTP, Grpc and other traditional robot ecosystems or cloud service ecosystems, and supports progressive upgrades of your existing systems.
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