All Projects → luigifcruz → Kimera

luigifcruz / Kimera

Licence: gpl-2.0
Low-latency hardware accelerated codec based video streaming utility.

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🐙 Kimera (Alpha Work-in-Progress)

Low-latency hardware accelerated codec based video streaming utility.

Features

  • ⚡ Low-latency (~35ms).
  • 🦑 Multi-Platform (Linux, macOS, Windows).
  • 🔋 Low-overhead with Hardware Acceleration.
  • 🖼️ Works with any codec (HEVC, AVC, VP9, VP8, AV1).
  • 🧳 Supports multiple transport streams (UDP, TCP, UNIX, GNURadio).
  • 🔑 Encrypted tunnel between TCP peers (TLS v1.3).

Compatibility

Interfacing

OS Display Screen-Capture Native Video Source Native Video Sink
Linux ✅ (GLFW) ✅ (XCB) ✅ (V4L2) ✅ (V4L2)
macOS ✅ (GLFW) ✅ (AVFoundation) ✅ (AVFoundation)
Windows ✅ (GLFW)

Hardware Acceleration

Technology Encode Decode Description
VideoToolBox Apple Devices (macOS & iOS)
NVENC/CUVID Modern Nvidia GPUs
OMX Broadcom SoC (Raspberry Pi)
VAAPI Modern Intel CPUs

Installation

Pre-compiled binary packages will be available once this app reaches beta. For now, if you want to try the pre-release version of the app, you should compile it yourself by following the instructions below.

Dependencies

  • C++17 Compiler
  • GLFW
  • OpenGL ES >2.0 or OpenGL >3.3
  • LibAV >12.3
  • CMake >3.13
  • XCB (For Linux)
  • Xcode Toolchain (For macOS)

Linux (Debian Based)

$ sudo apt install libavcodec-dev libavfilter-dev libavutil-dev libavformat-dev libglfw3-dev libyaml-dev libssl-dev build-essential cmake git

macOS

$ brew install yaml-cpp glfw3 libav cmake pybind11

Compilation

$ git clone https://github.com/luigifreitas/kimera.git
$ cd kimera
$ mkdir build
$ cd build
$ cmake -DCMAKE_BUILD_TYPE=Release ..
$ make -j
$ sudo make install

Usage

Create a server with the /dev/video0 as input and localhost TCP as output.

$ kimera tx ../examples/linux.yml

Receive the video from the TCP server and display it on the screen.

$ kimera rx ../examples/linux.yml

License

This module is distributed under a GPL-2.0 License.

Roadmap

This is a list of unfinished tasks that I pretend to pursue soon. Pull requests are more than welcome!

  • [ ] Implement AVFoundation Native Sink Device.
  • [ ] Write Windows Support.
  • [ ] Write Android Support.
  • [ ] Write iOS Support.
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