Capture images using V4L2 on Linux

Original Post on my new Blog

I have always been using OpenCV’s VideoCapture API to capture images from webcam or USB cameras. OpenCV supports V4L2 and I wanted to use something other than OpenCV’s VideoCapture API so I started digging up about v4l2 and got few links using and few examples using which I successfully wrote a small code to grab an image using V4L2 and convert it to OpenCV’s Mat structure and display the image.

What is V4L2?

V4L2 is the second version of Video For Linux which is a video capturing API for Linux. Here you can find amazing documentation about the API. So it gives you a very easy inteface to use it with C, C++ and Python. I haven’t tried Python bindings yet.

How To Use V4L2 API?

I started reading documentation but didn’t really understand much until I found this example. The code had some issues and wasn’t working properly. But I just copied it and tried understanding it. So this is my understanding of the code.

Step 1: Open the Capture Device.

In Linux, default capture devide is generally /dev/video0, but if you’re using USB webcams, the index will vary accordingly.

int fd;
fd = open("/dev/video0", O_RDWR);
if (fd == -1)
    // couldn't find capture device
    perror("Opening Video device");
    return 1;

Step 2: Query the Capture

So, basically you check if the capture is available or not. V4L2 doesn’t support some cameras so it would throw an error here. We need to use v4l2_capability structure and VIDIOC_QUERYCAP to query the capture. Read More here.

struct v4l2_capability caps = {0};
if (-1 == xioctl(fd, VIDIOC_QUERYCAP, &caps))
    perror("Querying Capabilites");
    return 1;

Here xioctl is a wrapper function over ioctl. ioctl() is a function to manipulate device parameters of special files. Read more here.

#include <sys/ioctl.h>

static int xioctl(int fd, int request, void *arg)
    int r;
        do r = ioctl (fd, request, arg);
        while (-1 == r && EINTR == errno);
        return r;

Step 3: Image Format

V4L2 provides an easy interface to check the image formats and colorspace that your webcam supports and provide. v4l2_format sturcture is to be used to change image format.

struct v4l2_format fmt = {0};
fmt.fmt.pix.width = 320;
fmt.fmt.pix.height = 240;
fmt.fmt.pix.pixelformat = V4L2_PIX_FMT_MJPEG;
fmt.fmt.pix.field = V4L2_FIELD_NONE;

if (-1 == xioctl(fd, VIDIOC_S_FMT, &fmt))
    perror("Setting Pixel Format");
    return 1;

I have set image width and height to be 320 and 240 respectively. You should check out the format that your camera supports. My Camera supports MJPEG and YUV and hence I have set image format to MJPEG.

Step 4: Request Buffers

A buffer contains data exchanged by application and driver using Streaming I/O methods.v4l2_requestbuffers is used to allocate device buffers. Read more here.

struct v4l2_requestbuffers req = {0};
req.count = 1;
req.memory = V4L2_MEMORY_MMAP;

if (-1 == xioctl(fd, VIDIOC_REQBUFS, &req))
    perror("Requesting Buffer");
    return 1;

The ioctl is used to initialize memory mapped(mmap), user pointer based I/O.

Step 5: Query Buffer

After requesting buffer from the device, we need to query the buffer in order to get raw data. Read morehere

struct v4l2_buffer buf = {0};
buf.memory = V4L2_MEMORY_MMAP;
buf.index = bufferindex;
if(-1 == xioctl(fd, VIDIOC_QUERYBUF, &buf))
    perror("Querying Buffer");
    return 1;

buffer = mmap (NULL, buf.length, PROT_READ | PROT_WRITE, MAP_SHARED, fd, buf.m.offset);

The mmap() function asks to map length bytes starting at offset in the memory of the device specified by fd into the application address space, preferably at address start. Read more here

Step 6: Capture Image

After querying the buffer, the only thing left is capturing the frame and saving it in the buffer.

if(-1 == xioctl(fd, VIDIOC_STREAMON, &buf.type))
    perror("Start Capture");
    return 1;

fd_set fds;
FD_SET(fd, &fds);
struct timeval tv = {0};
tv.tv_sec = 2;
int r = select(fd+1, &fds, NULL, NULL, &tv);
if(-1 == r)
    perror("Waiting for Frame");
    return 1;

if(-1 == xioctl(fd, VIDIOC_DQBUF, &buf))
    perror("Retrieving Frame");
    return 1;

Step 7: Store data in OpenCV datatype

I wanted to stored the retrieved data in OpenCV image structure. It took me few hours to figure out the perfect way. So here’s how I did it.

CvMat cvmat = cvMat(480, 640, CV_8UC3, (void*)buffer);
IplImage * img;
img = cvDecodeImage(&cvmat, 1);

So this how I captured frames from my webcam and stored in OpenCV Image data structure.

You can find the complete code here on my GitHub

P.S. Coding period for gsoc has started and I have to start working.

Kinect with OpenCV using Freenect

I recently got a Kinect to work on at my sumemr internship at Ducere Technologies. Having heard so much about OpenNI, I tried installing it on my Ubuntu 12.04 LTS 64 bit machine. It took some time to configure, build and install it. I got help from few blogs. I managed to install it somehow. Connected the kinect and fired up the demo program and ran into troubles. I was getting following error.

A timeout has occurred while waiting for new data

Read More At My New blog

Point Cloud Library – Install and Configure – Ubuntu 12.04

A Point Cloud is a set of vertices in a three-dimensional coordinate system. As OpenCV is used to work with two dimensional objects(images), PCL is used to work with three dimensional objects(3D space). Vertices usually represent X, Y and Z … Continue reading

ROI/ Bounding Box selection of Mat images in OpenCV

So my mid-terms got over this Monday and I had no idea whatsoever what happened in the 1 week of exams. I started working on SURF feature detector based Tracking algorithm using OpenCV python bindings and SimpleCV. I couldn’t complete … Continue reading

The End: Google Summer of Code 2012

This is the end, beautiful friend -The End by The Doors Katherine Scott, Anthony Oliver, Victor and Vijay, it has been a pleasure working with you guys. So after exactly three months, Google Summer of Code 2012 has come to … Continue reading

Configuring Boost::Python and Hello Boost

In my recent blog posts, I have mentioned that python is quite slow and I need to find an option to increase run-time speed of my python port of OpenTLD. I need to extend Python with C++ and hence I … Continue reading