Search Results for "push server"

smart_rtmpd is a high-performance streaming media server designed for live and recorded video delivery across multiple protocols and platforms. It supports both push and pull streaming, enabling flexible workflows for ingesting and distributing media. The server is designed to be lightweight and easy to deploy, requiring minimal configuration and no external dependencies. It supports a wide range of protocols including RTMP, HLS, DASH, RTSP, and WebRTC, making it suitable for diverse streaming environments. ...

Introduced as a highly successful design with the help of a statistics server, these applications are designed to bring you the maximum functionality of your graphics card and bring you a bunch of controls that will help you get the most out of your GPU. can be specified. RivaTuner Download also lets you open-source overclocking and hardware debugging for NVIDIA video cards by modifying the NVIDIA graphics card, a revolutionary graphics card overclocking, and subsequent utility...

The nginx-rtmp-module is an open-source extension for Nginx that enables RTMP-based live streaming functionality. It adds support for ingesting RTMP video streams and re-streaming through HTTP/HLS/DASH, with various configuration controls and multi-worker streaming capabilities. Supports multi-worker streaming via automatic stream pushing (rtmp_auto_push). Can output HLS streams for playback on mobile and web clients. RTMP endpoint for live video stream ingestion.

IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware: