# v4l2tools

**Repository Path**: GeekKernel/v4l2tools

## Basic Information

- **Project Name**: v4l2tools
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Unlicense
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-04-21
- **Last Updated**: 2025-04-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

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v4l2tools
====================

This is simple V4L2 tools based on libv4l2cpp

Dependencies
------------
 - liblog4cpp5-dev (optional)
 - libvpx-dev      (for v4l2compress)
 - libx264-dev     (for v4l2compress)
 - libx265-dev     (for v4l2compress)
 - libjpeg-dev     (for v4l2compress)
 
Tools
-------

 - v4l2copy          : 

>	read from a V4L2 capture device and write to a V4L2 output device

 - v4l2compress  : 

>	read YUV from a V4L2 capture device, compress in VP8/VP9/H264/HEVC/JPEG format and write to a V4L2 output device    
>	read JPEG format from a V4L2 capture device, uncompress in JPEG format and write to a V4L2 output device    

 - v4l2dump          : 

>	read from a V4L2 capture device and print to output frame information (work with H264 & HEVC)

 - v4l2source_yuv :
 
>	generate YUYV frames and write to a V4L2 output device

Tools for Raspberry
-------------------

 - v4l2grab_h264     : 

>	grab raspberry pi screen, compress in H264 format using OMX and write to a V4L2 output device

 - v4l2display_h264     : 

>	read H264 from V4L2 capture device, uncompress and display using OMX

 - v4l2compress_omx : 

>	read YUV from a V4L2 capture device, compress in H264 format using OMX and write to a V4L2 output device
>   make sure the v4l2 source supports the correct pixel format. This can be configured for device 0 using `v4l2-ctl -d 0 -v width=640,height=480,pixelformat=YUYV -V`. Then check it was applied correctly using `v4l2-ctl --all`

Build
-----

     make

Install
-------

     make install

Using Docker image
===============

You can expose V4L2 devices from your host using :

        docker run --device=/dev/video0 --device=/dev/video1 -it mpromonet/v4l2tools

The container entry point is the v4l2tools application, then you can :

* get the help using :

        docker run -it mpromonet/v4l2tools -h

* run the container specifying some paramaters :

        docker run --device=/dev/video0 --device=/dev/video1 -it mpromonet/v4l2tools -fH264