ffmpeg-server

There are 14 repositories under ffmpeg-server topic.

  • restreamer

    datarhei/restreamer

    The Restreamer is a complete streaming server solution for self-hosting. It has a visually appealing user interface and no ongoing license costs. Upload your live stream to YouTube, Twitch, Facebook, Vimeo, or other streaming solutions like Wowza. Receive video data from OBS and publish it with the RTMP and SRT server.

    Language:HTML4k93707452
  • core

    datarhei/core

    datarhei Core is management for FFmpeg processes without development effort. Whether your streaming has one viewer or a million, we have the tools to help you develop, deploy and manage any video project at any stage. We've solved the challenging problems so you can focus on your application, not your infrastructure.

    Language:Go202131346

  • cuinjune/text2video

    A software tool that converts text to video for more engaging learning experience

    Language:JavaScript693219

  • Rishit-dagli/People-Counter-On-Edge

    Low latency resilient people detection and counting for edge devices

    Language:JavaScript234013

  • wwwmarcos/dj-telegram-bot

    mix telegram audios using ffmpeg

    Language:JavaScript16311

  • jimm98y/SharpRealTimeStreaming

    Simple RTSP server and client. Supports H264, H265 and AAC.

    Language:C#10314

  • Rahul24-06/udacity-people-counter

    Investigate different pre-trained models for person detection, and detect the number of people in the frame, and the time spent there. https://youtu.be/PxbYqBZgbQE

    Language:Python9305

  • datarhei/core-client-go

    An API client library for datarhei Core in Go

    Language:Go6404

  • sbmagar13/ffmpeg_first

    Development of RTSP, MediaRTSP servers, protocols and sockets with C/C++ using FFMpeg/LIve555 library(Live Video Processing, CCTV, IP Camera etc.)

    Language:C++4202

  • mmphego/people-counter-openvino-edgeai-project

    People Counter app for the Udacity Intel Edge AI Nanodegree

    Language:Python230

  • Ahwar/PeopleCounter-IoT-App-Intel-OpenVino

    Create a smart video IoT solution using Intel® hardware and OpenVino Toolkit. The app will detect people in a designated area, providing the number of people in the frame, the average duration of people in the frame, and total count. Send all calculated Stats and Output Image to the server using Mosca and FFmpeg server.

    Language:JavaScript1100

  • echatzidaki/People_Counter_App

    The people counter application is a smart video IoT solution, using Intel® hardware and software tools. The app detects people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count.

    Language:JavaScript0100

  • mayujie/People_Counter_APP_at_Edge_Using_OpenVINO

    People_Counter_APP_at_Edge project from Intel® Edge AI for IoT Developers Nanodegree Program

    Language:Python0200

  • zed1025/person-counter-open-vino

    Language:JavaScript10