Getting Started with ROS on Embedded Systems - Examples - V4L2 capture node

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This page describes in detail the V4L2 ROS capture node developed by RidgeRun on C++ language.

ROS versions

Distribution: Melodic Morenia

Build system: catkin

Introduction

When using ROS with some capture subsystem, normally one would end up using ROS 2 v4l2 nodes, or end up using OpenCV to capture from the camera. The problem starts when you just want to use the raw data and publish it. This V4L2 capture node does essentially, just capture the raw data using the v4l2 API within a capture library based slightly on Yavta application and then creates a node receives a callback from each frame that can be raw or compressed (MJPEG) and publishes it.

Therefore, this node is actually composed of two elements:

1. A capture library using v4l2 API in C++
2. A ROS node that uses the capture library

Getting the code

Contact support@ridgerun.com for getting the code or any question you have.

Capture library

The capture library is a wrapper of the v4l2 API, it lets you create a capture object in which you can configure it's members and then execute the desired commands in order to start capturing from a device. The library gets a callback feature from each frame in order to process it as desired by the user.

Compilation

1. Export current directory to ease all the installation process for the guide

export DEVDIR=`pwd`

Then compile using cmake and make.

# Create and move to build directory
cd $DEVDIR/lib
mkdir build && cd build

# Configure project for local compilation
cmake .. -DBUILD_TESTS=ON -DLIBDIR_INSTALL_PATH=`pwd`/usr/local/lib -DBINDIR_INSTALL_PATH=`pwd`/usr/local/bin -DINCLUDE_INSTALL_PATH=`pwd`/usr/local/include -DCMAKE_TARGET_INSTALL_PATH=`pwd`/usr/local/lib

# Compile
make install

Testing capture library

The compilation will have created a sample application that uses the library

You can then use this application with this command for example:

cd $DEVDIR/lib/build
LD_LIBRARY_PATH=./usr/local/lib/ ./usr/local/bin/v4l2-capture-sample /dev/video0 -c200000 -fMJPEG --cap-logs

The options from the application are the following:

LD_LIBRARY_PATH=./usr/local/lib/ ./usr/local/bin/v4l2-capture-sample       

Usage: ./usr/local/bin/v4l2-capture-sample [options] device
Supported options:
-c, --capture[=nframes]         Capture frames, use 0 or less for infinite capture
-f, --format format             Set the video format
-F, --file[=prefix]             Read/write frames from/to disk
-h, --help                      Show this help screen
-n, --nbufs n                   Set the number of video buffers maximun is 32
-r, --get-control ctrl          Get control 'ctrl'
-s, --size WxH                  Set the frame size
-w, --set-control 'ctrl value'  Set control 'ctrl' to 'value'
    --save-frames               Indicates frame interval to save a frame
    --cap-logs                  Enables capture logging

ROS capture node

The ROS capture node makes usage of the capture library, most importantly of the callback feature in order to be able to post the image into a topic, whether it is a raw image published as a sensor_msgs::Image or sensor_msgs::CompressedImage

Compilation of ROS node

To compile the capture node, assuming you have ROS already installed on your system (Getting Started), and that you also have the capture library installed and the directory exported in the DEVDIR variable, do:

cd $DEVDIR/ros
export CMAKE_PREFIX_PATH=${CMAKE_PREFIX_PATH}:$DEVDIR/lib/build/usr/local/lib/cmake/v4l2-capture-project

Then compile

catkin_make -DCMAKE_CXX_FLAGS="-I $DEVDIR/lib/build/usr/local/include

Now you need to source the packages:

source $DEVDIR/ros/devel/setup.sh

Configuration of ROS node

You find a numerous configuration variables inside the $DEVDIR/ros/configuration/config.yaml file:

1. The camera namespace, which will be an arbitrary name you can use for the camera topic

camera_namespace : "cam0"

2. The ROS topic names, you can modify both these, but if you are planning to use compressed images capture see the note below

ros_topic_names: {
    image_topic: "image",
    image_topic_compressed: "image/compressed",
}

3. ROS topic queue sizes

ros_topic_queue_sizes: {
    image_topic: 5,
    image_topic_compressed: 5,
}

4. Video device to capture from

device_name : "/dev/video0"

5. Format to capture from the camera, also used from the node to know if the capture format is compressed or not.

Formats supported now: "UYVY" and "MJPEG", feel free to modify the node and capture library as needed.

v4l2_format_string : "MJPEG"

6. Dimensions for capture

width : 640
height : 360

Testing ROS capture node

To launch the node:

roslaunch rr_cap capture.launch

On another terminal:

To view RAW uncompressed formats, you can use:

rosrun image_view image_view image:=/rr_capture/cam0/image

To view compressed formats likes MJPEG:

rosrun image_view image_view image:=/rr_capture/cam0/image _image_transport:=compressed