RapidPixel SDK bundles video capture, tracking, and streaming modules
RapidPixel SDK is a cross-platform C++ library for real-time video processing applications, offering modules for video capture, encoding/decoding, streaming, tracking, object detection, and filtering. The SDK is designed for deployment on various CPUs, including Intel, AMD, NVIDIA Jetson/Xavier, and Raspberry Pi, and supports both Linux and Windows operating systems. It aims to provide comprehensive building blocks for complex video processing software, integrating multiple algorithms into single-purpose components.
Key Takeaways
- v1.18.1 includes ready-to-use pipelines for video capture, video codecs, video streaming, video tracking, object detection, video stabilization, communication, logging, and filtering.
- The SDK supports Intel, AMD, NVIDIA Jetson/Xavier, Raspberry Pi 4/5, IMX8/9, Broadcom, and Amlogic CPUs on Linux and Windows.
- RapidPixel’s core libraries are built as self-sufficient C++17 CMake components, each with its own documentation, examples, and test applications.
- Streaming modules cover RTSP, RTP, WebRTC, HLS, and RTMP through libraries such as RtspServer, RtpPusher, and VStreamerMediaMtx.
- Object detection options include Gmd for motion, Ged for video changes, and DnnOpenVinoDetector optimized for Ultralytics YOLOv8.
Why It Matters
RapidPixel is packaging a broad video-processing stack into modular C++ libraries, which matters for teams building real-time streaming systems that need capture, codecs, tracking, detection, and control in one codebase. The ecosystem angle is breadth: the SDK spans streaming protocols, thermal-camera tooling, lens and camera controllers, and sample applications like VPipelineDemo and RpiStreamer, all across Linux and Windows. For StreamingMeme readers, the key signal to watch is which modules stay dependency-free versus which require OpenCV, OpenVINO, FFmpeg, VPI, or vendor SDKs, since that will shape deployment complexity.
Read full article at rapidpixel.constantrobotics.com
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