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https://github.com/brndnmtthws/doge-streamer
Stream Doge
https://github.com/brndnmtthws/doge-streamer
ffmpeg live-streaming opencv stream twitch x264 youtube-stream
Last synced: 15 days ago
JSON representation
Stream Doge
- Host: GitHub
- URL: https://github.com/brndnmtthws/doge-streamer
- Owner: brndnmtthws
- License: unlicense
- Created: 2019-02-02T02:32:41.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-03-08T14:54:31.000Z (almost 6 years ago)
- Last Synced: 2024-11-15T09:06:38.107Z (3 months ago)
- Topics: ffmpeg, live-streaming, opencv, stream, twitch, x264, youtube-stream
- Language: C++
- Size: 7.15 MB
- Stars: 2
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://travis-ci.org/brndnmtthws/doge-streamer)
# Doge Streamer 🦊
`doge-streamer` is a tool for Doge live streaming, which you can find at:
- [YouTube](https://www.youtube.com/channel/UCg4HoZlSlRGvyPtcInkIQvQ), or
- [Twitch](https://www.twitch.tv/live_doge)
This tool is based on OpenCV and FFmpeg.
OpenCV is used for capturing images from cameras, processing video, performing Doge detection, image processing, and overlaying text/images.
FFmpeg is used to encode the stream with x264, AAC, and flv. The stream is sent out to [castr.io](castr.io) using RTMP.
Features:
- background subtraction based motion detection (using `BackgroundSubtractorMOG2`)
- automatically switches to active camera
- displays an image when cameras are inactive
- stream can be controlled remotely using [doge-stream-helper](https://github.com/brndnmtthws/doge-stream-helper)
- sound from one audio source
TODO:
- better audio input handling
- add delightful background music
- train a TensorFlow model to detect Doge? perhaps use a combination of motion detection and an RNN model?
## Quickstart
### Install dependencies
On macOS:
```ShellSession
$ brew install cmake ffmpeg opencv
...
```
On Debian based distros:
```ShellSession:
$ apt-get install -yqq \
cmake \
build-essential \
libavcodec-dev \
libavdevice-dev \
libopencv-dev \
libavformat-dev \
libavutil-dev \
libswresample-dev \
libswscale-dev \
libopencv-dev
...
```
### Compile
To compile source code just run:
```ShellSession
$ mkdir build
$ cd build
$ cmake .. -DCMAKE_BUILD_TYPE=Debug
$ make -j4
```
### Run RTMP Server
```ShellSession
$ docker run -p 1935:1935 tiangolo/nginx-rtmp
...
```
### Run `doge-streamer`
```ShellSession
$ ./doge-streamer
```
### Watch & Enjoy
Use VLC or `ffplay` to connect to live video stream:
```ShellSession
$ ffplay -sync ext rtmp://localhost/live/stream
...
```