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Yasea is an Android live streaming client used for broadcasting live camera and microphone feeds to remote servers via the RTMP protocol. It provides a system for mobile live broadcasting that integrates camera control, media encoding, and real-time network transmission.
The main features of begeekmyfriend/yasea are: RTMP Stream Pushing, Low-Latency RTMP/RTSP Streams, Real-Time Media Encoders, Raw Media Encoders, RTMP Push Clients, Hardware Accelerated Media Encoders, Mobile Live Broadcasting, RTMP Protocol Packaging.
Projects with overlapping indexed features include: daniulive/smarterstreaming — SmarterStreaming is a cross-platform SDK for hardware-accelerated audio and video capture, encoding, and streaming. It… steveseguin/vdo.ninja — VDO.Ninja is a low-latency peer-to-peer media routing service and video streaming platform designed to integrate… laifengios/lflivekit — LFLiveKit is an iOS live streaming SDK designed for capturing, encoding, and transmitting real-time audio and video… dusty-nv/jetson-inference — jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU… nvidia/isaac-gr00t. jp9000/obs — OBS is a professional software suite designed for live video streaming and recording. It functions as a comprehensive…
SmarterStreaming is a cross-platform SDK for hardware-accelerated audio and video capture, encoding, and streaming. It provides a complete media pipeline for low-latency RTMP and RTSP streaming, and includes an embedded lightweight RTSP server that can serve live feeds directly from the source device to local network clients without requiring a separate server. The SDK also integrates with GB28181 surveillance platforms, enabling compliant device registration and streaming for standardized video monitoring systems. The project distinguishes itself through a set of integrated capabilities for
VDO.Ninja is a low-latency peer-to-peer media routing service and video streaming platform designed to integrate remote audio and video feeds into professional production workflows. It functions as a WebRTC broadcast integration tool and studio controller, allowing for the direct transmission of high-definition media between publishers and viewers with minimal delay. The platform distinguishes itself through extensive protocol bridging, converting between WebRTC, WHIP, WHEP, SRT, and RTMP to ensure compatibility across diverse network environments and professional studio software. It includes
LFLiveKit is an iOS live streaming SDK designed for capturing, encoding, and transmitting real-time audio and video streams over the RTMP protocol. The toolkit includes a hardware media encoder that uses H264 and AAC acceleration to compress streams, as well as a GPU-accelerated video filter for applying real-time beauty effects and watermarks. It also features an adaptive bitrate streamer that dynamically adjusts transmission rates and manages frame drops to maintain stability during network fluctuations. The system supports media capture from external peripheral devices and screen recordin
jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti