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# Using libcamera in a C++ application

This tutorial shows how to create a C++ application that uses libcamera to interface with a camera on a system, capture frames from it for 3 seconds, and write metadata about the frames to standard output.

## Application skeleton

Most of the code in this tutorial runs in the `int main()` function with a separate global function to handle events. The two functions need to share data, which are stored in global variables for simplicity. A production-ready application would organize the various objects created in classes, and the event handler would be a class member function to provide context data without requiring global variables.

Use the following code snippets as the initial application skeleton. It already lists all the necessary includes directives and instructs the compiler to use the libcamera namespace, which gives access to the libcamera defined names and types without the need of prefixing them.

    #include <iomanip>
    #include <iostream>
    #include <memory>
    #include <thread>

    #include <libcamera/libcamera.h>

    using namespace libcamera;
    using namespace std::chrono_literals;

    int main()
    {
        // Code to follow

        return 0;
    }

## Camera Manager

Every libcamera-based application needs an instance of a CameraManager that runs for the life of the application. When the Camera Manager starts, it enumerates all the cameras detected in the system. Behind the scenes, libcamera abstracts and manages the complex pipelines that kernel drivers expose through the Linux Media Controller and Video for Linux (V4L2) APIs, meaning that an application doesn’t need to handle device or driver specific details.

Before the `int main()` function, create a global shared pointer variable for the camera to support the event call back later:

    static std::shared_ptr<Camera> camera;

Create a Camera Manager instance at the beginning of the main function, and then start it. An application must only create a single Camera Manager instance.

The CameraManager can be stored in a unique_ptr to automate deleting the instance when it is no longer used, but care must be taken to ensure all cameras are released explicitly before this happens.

    std::unique_ptr<CameraManager> cm = std::make_unique<CameraManager>();
    cm->start();

During the application initialization, the Camera Manager is started to enumerate all the supported devices and create cameras that the application can interact with.

Once the camera manager is started, we can use it to iterate the available cameras in the system:

    for (const auto &camera : cm->cameras())
        std::cout << camera->id() << std::endl;

Printing the camera id lists the machine-readable unique identifiers, so for example, the output on a Linux machine with a connected USB webcam is `\_SB_.PCI0.XHC_.RHUB.HS08-8:1.0-5986:2115`.

### What libcamera considers a camera

The libcamera library considers any unique source of video frames, which usually correspond to a camera sensor, as a single camera device. Camera devices expose streams, which are obtained by processing data from the single image source and all share some basic properties such as the frame duration and the image exposure time, as they only depend by the image source configuration.

Applications select one or multiple Camera devices they wish to operate on, and require frames from at least one of their Streams.

## Create and acquire a camera

This example application uses a single camera (the first enumerated one) that the Camera Manager reports as available to applications.

Camera devices are stored by the CameraManager in a list accessible by index, or can be retrieved by name through the `CameraManager::get()` function. The code below retrieves the name of the first available camera and gets the camera by name from the Camera Manager, after making sure that at least one camera is available.

    auto cameras = cm->cameras();
    if (cameras.empty()) {
        std::cout << "No cameras were identified on the system."
                  << std::endl;
        cm->stop();
        return EXIT_FAILURE;
    }

    std::string cameraId = cameras[0]->id();

    camera = cm->get(cameraId);
    /*
     * Note that `camera` may not compare equal to `cameras[0]`.
     * In fact, it might simply be a `nullptr`, as the particular
     * device might have disappeared (and reappeared) in the meantime.
     */

Once a camera has been selected an application needs to acquire an exclusive lock to it so no other application can use it.

    camera->acquire();

## Configure the camera

Before the application can do anything with the camera, it needs to configure the image format and sizes of the streams it wants to capture frames from.

Stream configurations are represented by instances of the `StreamConfiguration` class, which are grouped together in a `CameraConfiguration` object. Before an application can start setting its desired configuration, a `CameraConfiguration` instance needs to be generated from the `Camera` device using the `Camera::generateConfiguration()` function.

The libcamera library uses the `StreamRole` enumeration to define predefined ways an application intends to use a camera. The `Camera::generateConfiguration()` function accepts a list of desired roles and generates a `CameraConfiguration` with the best stream parameters configuration for each of the requested roles. If the camera can handle the requested roles, it returns an initialized `CameraConfiguration` and a null pointer if it can’t.

It is possible for applications to generate an empty `CameraConfiguration` instance by not providing any role. The desired configuration will have to be filled-in manually and manually validated.

In the example application, create a new configuration variable and use the `Camera::generateConfiguration` function to produce a `CameraConfiguration` for the single `StreamRole::Viewfinder` role.

    std::unique_ptr<CameraConfiguration> config = camera->generateConfiguration( { StreamRole::Viewfinder } );

The generated `CameraConfiguration` has a `StreamConfiguration` instance for each `StreamRole` the application requested. Each of these has a default size and format that the camera assigned, and a list of supported pixel formats and sizes.

The code below accesses the first and only `StreamConfiguration` item in the `CameraConfiguration` and outputs its parameters to standard output.

    StreamConfiguration &streamConfig = config->at(0);
    std::cout << "Default viewfinder configuration is: " << streamConfig.toString() << std::endl;

This is expected to output something like:

> `Default viewfinder configuration is: 1280x720-MJPEG`

### Change and validate the configuration

With an initialized `CameraConfiguration`, an application can make changes to the parameters it contains, for example, to change the width and height, use the following code:

    streamConfig.size.width = 640;
    streamConfig.size.height = 480;

If an application changes any parameters, it must validate the configuration before applying it to the camera using the `CameraConfiguration::validate()` function. If the new values are not supported by the `Camera` device, the validation process adjusts the parameters to what it considers to be the closest supported values.

The `validate` function returns a CameraConfiguration::Status which applications shall check to see if the Pipeline Handler adjusted the configuration.

For example, the code above set the width and height to 640x480, but if the camera cannot produce an image that large, it might adjust the configuration to the supported size of 320x240 and return `Adjusted` as validation status result.

If the configuration to validate cannot be adjusted to a set of supported values, the validation procedure fails and returns the `Invalid` status.

For this example application, the code below prints the adjusted values to standard out.

    config->validate();
    std::cout << "Validated viewfinder configuration is: " << streamConfig.toString() << std::endl;

For example, the output might be something like

> `Validated viewfinder configuration is: 320x240-MJPEG`

A validated `CameraConfiguration` can bet given to the `Camera` device to be applied to the system.

    camera->configure(config.get());

If an application doesn’t first validate the configuration before calling `Camera::configure()`, there’s a chance that calling the function can fail, if the given configuration would have to be adjusted.

## Allocate FrameBuffers

An application needs to reserve the memory that libcamera can write incoming frames and data to, and that the application can then read. The libcamera library uses `FrameBuffer` instances to represent memory buffers allocated in memory. An application should reserve enough memory for the frame size the streams need based on the configured image sizes and formats.

The libcamera library consumes buffers provided by applications as `FrameBuffer` instances, which makes libcamera a consumer of buffers exported by other devices (such as displays or video encoders), or allocated from an external allocator (such as ION on Android).

In some situations, applications do not have any means to allocate or get hold of suitable buffers, for instance, when no other device is involved, or on Linux platforms that lack a centralized allocator. The `FrameBufferAllocator` class provides a buffer allocator an application can use in these situations.

An application doesn’t have to use the default `FrameBufferAllocator` that libcamera provides. It can instead allocate memory manually and pass the buffers in `Request`s (read more about `Request` in the frame capture section of this guide). The example in this guide covers using the `FrameBufferAllocator` that libcamera provides.

### Using the libcamera `FrameBufferAllocator`

Applications create a `FrameBufferAllocator` for a Camera and use it to allocate buffers for streams of a `CameraConfiguration` with the `allocate()` function.

The list of allocated buffers can be retrieved using the `Stream` instance as the parameter of the `FrameBufferAllocator::buffers()` function.

    auto allocator = std::make_unique<FrameBufferAllocator>(camera);

    for (StreamConfiguration &cfg : *config) {
        int ret = allocator->allocate(cfg.stream());
        if (ret < 0) {
            std::cerr << "Can't allocate buffers" << std::endl;
            return -ENOMEM;
        }

        size_t allocated = allocator->buffers(cfg.stream()).size();
        std::cout << "Allocated " << allocated << " buffers for stream" << std::endl;
    }

### Frame Capture

The libcamera library implements a streaming model based on per-frame requests. For each frame an application wants to capture it must queue a request for it to the camera. With libcamera, a `Request` is at least one `Stream` associated with a `FrameBuffer` representing the memory location where frames have to be stored.

First, by using the `Stream` instance associated to each `StreamConfiguration`, retrieve the list of `FrameBuffer`s created for it using the frame allocator. Then create a vector of requests to be submitted to the camera.

    Stream *stream = streamConfig.stream();
    const std::vector<std::unique_ptr<FrameBuffer>> &buffers = allocator->buffers(stream);
    std::vector<std::unique_ptr<Request>> requests;

Proceed to fill the request vector by creating `Request` instances from the camera device, and associate a buffer for each of them for the `Stream`.

    for (unsigned int i = 0; i < buffers.size(); ++i) {
        std::unique_ptr<Request> request = camera->createRequest();
        if (!request)
        {
            std::cerr << "Can't create request" << std::endl;
            return -ENOMEM;
        }

        const std::unique_ptr<FrameBuffer> &buffer = buffers[i];
        int ret = request->addBuffer(stream, buffer.get());
        if (ret < 0)
        {
            std::cerr << "Can't set buffer for request"
                  << std::endl;
            return ret;
        }

        requests.push_back(std::move(request));
    }

## Event handling and callbacks

The libcamera library uses the concept of signals and slots (similar to Qt Signals and Slots) to connect events with callbacks to handle them.

The `Camera` device emits two signals that applications can connect to in order to execute callbacks on frame completion events.

The `Camera::bufferCompleted` signal notifies applications that a buffer with image data is available. Receiving notifications about the single buffer completion event allows applications to implement partial request completion support, and to inspect the buffer content before the request it is part of has fully completed.

The `Camera::requestCompleted` signal notifies applications that a request has completed, which means all the buffers the request contains have now completed. Request completion notifications are always emitted in the same order as the requests have been queued to the camera.

To receive the signals emission notifications, connect a slot function to the signal to handle it in the application code.

    camera->requestCompleted.connect(requestComplete);

For this example application, only the `Camera::requestCompleted` signal gets handled and the matching `requestComplete` slot function outputs information about the FrameBuffer to standard output. This callback is typically where an application accesses the image data from the camera and does something with it.

Signals operate in the libcamera `CameraManager` thread context, so it is important not to block the thread for a long time, as this blocks internal processing of the camera pipelines, and can affect realtime performance.

### Handle request completion events

Create the `requestComplete` function by matching the slot signature:

    static void requestComplete(Request *request)
    {
        // Code to follow
    }

Request completion events can be emitted for requests which have been canceled, for example, by unexpected application shutdown. To avoid an application processing invalid image data, it’s worth checking that the request has completed successfully. The list of request completion statuses is available in the Request::Status class enum documentation.

    if (request->status() == Request::RequestCancelled)
       return;

If the `Request` has completed successfully, applications can access the completed buffers using the `Request::buffers()` function, which returns a map of `FrameBuffer` instances associated with the `Stream` that produced the images.

    const std::map<const Stream *, FrameBuffer *> &buffers = request->buffers();

Iterating through the map allows applications to inspect each completed buffer in this request, and access the metadata associated to each frame.

The metadata buffer contains information such the capture status, a timestamp, and the bytes used, as described in the FrameMetadata documentation.

    for (auto bufferPair : buffers) {
        FrameBuffer *buffer = bufferPair.second;
        const FrameMetadata &metadata = buffer->metadata();
    }

For this example application, inside the `for` loop from above, we can print the Frame sequence number and details of the planes.

    std::cout << " seq: " << std::setw(6) << std::setfill('0') << metadata.sequence << " bytesused: ";

    unsigned int nplane = 0;
    for (const FrameMetadata::Plane &plane : metadata.planes())
    {
        std::cout << plane.bytesused;
        if (++nplane < metadata.planes().size()) std::cout << "/";
    }

    std::cout << std::endl;

The expected output shows each monotonically increasing frame sequence number and the bytes used by planes.

    seq: 000000 bytesused: 1843200
    seq: 000002 bytesused: 1843200
    seq: 000004 bytesused: 1843200
    seq: 000006 bytesused: 1843200
    seq: 000008 bytesused: 1843200
    seq: 000010 bytesused: 1843200
    seq: 000012 bytesused: 1843200
    seq: 000014 bytesused: 1843200
    seq: 000016 bytesused: 1843200
    seq: 000018 bytesused: 1843200
    seq: 000020 bytesused: 1843200
    seq: 000022 bytesused: 1843200
    seq: 000024 bytesused: 1843200
    seq: 000026 bytesused: 1843200
    seq: 000028 bytesused: 1843200
    seq: 000030 bytesused: 1843200
    seq: 000032 bytesused: 1843200
    seq: 000034 bytesused: 1843200
    seq: 000036 bytesused: 1843200
    seq: 000038 bytesused: 1843200
    seq: 000040 bytesused: 1843200
    seq: 000042 bytesused: 1843200

A completed buffer contains of course image data which can be accessed through the per-plane dma-buf file descriptor transported by the `FrameBuffer` instance. An example of how to write image data to disk is available in the FileSink class which is a part of the `cam` utility application in the libcamera repository.

With the handling of this request completed, it is possible to re-use the request and the associated buffers and re-queue it to the camera device:

    request->reuse(Request::ReuseBuffers);
    camera->queueRequest(request);

## Request queueing

The `Camera` device is now ready to receive frame capture requests and actually start delivering frames. In order to prepare for that, an application needs to first start the camera, and queue requests to it for them to be processed.

In the main() function, just after having connected the `Camera::requestCompleted` signal to the callback handler, start the camera and queue all the previously created requests.

    camera->start();
    for (std::unique_ptr<Request> &request : requests)
       camera->queueRequest(request.get());

### Event processing

libcamera creates an internal execution thread at CameraManager::start() time to decouple its own event processing from the application’s main thread. Applications are thus free to manage their own execution opportunely, and only need to respond to events generated by libcamera emitted through signals.

Real-world applications will likely either integrate with the event loop of the framework they use, or create their own event loop to respond to user events. For the simple application presented in this example, it is enough to prevent immediate termination by pausing for 3 seconds. During that time, the libcamera thread will generate request completion events that the application will handle in the `requestComplete()` slot connected to the `Camera::requestCompleted` signal.

    std::this_thread::sleep_for(3000ms);

## Clean up and stop the application

The application is now finished with the camera and the resources the camera uses, so needs to do the following:

- stop the camera

- free the buffers in the FrameBufferAllocator and delete it

- release the lock on the camera and reset the pointer to it

- stop the camera manager

    camera->stop();
    allocator->free(stream);
    allocator.reset();
    camera->release();
    camera.reset();
    cm->stop();

    return 0;

In this instance the CameraManager will automatically be deleted by the unique_ptr implementation when it goes out of scope.

## Build and run instructions

To build the application, we recommend that you use the Meson build system which is also the official build system of the libcamera library.

Make sure both `meson` and `libcamera` are installed in your system. Please refer to your distribution documentation to install meson and install the most recent version of libcamera from the git repository. You would also need to install the `pkg-config` tool to correctly identify the libcamera.so object install location in the system.

### Dependencies

The test application presented here depends on the libcamera library to be available in a path that meson can identify. The libcamera install procedure performed using the `ninja install` command may by default deploy the libcamera components in the `/usr/local/lib` path, or a package manager may install it to `/usr/lib` depending on your distribution. If meson is unable to find the location of the libcamera installation, you may need to instruct meson to look into a specific path when searching for `libcamera.so` by setting the `PKG_CONFIG_PATH` environment variable to the right location.

Adjust the following command to use the `pkgconfig` directory where libcamera has been installed in your system.

    export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig/

Verify that `pkg-config` can identify the `libcamera` library with

    $ pkg-config --libs --cflags libcamera
      -I/usr/local/include/libcamera -L/usr/local/lib -lcamera -lcamera-base

`meson` can alternatively use `cmake` to locate packages, please refer to the `meson` documentation if you prefer to use it in place of `pkgconfig`

### Build file

With the dependencies correctly identified, prepare a `meson.build` build file to be placed in the same directory where the application lives. You can name your application as you like, but be sure to update the following snippet accordingly. In this example, the application file has been named `simple-cam.cpp`.

    project('simple-cam', 'cpp')

    simple_cam = executable('simple-cam',
        'simple-cam.cpp',
        dependencies: dependency('libcamera'))

The `dependencies` line instructs meson to ask `pkgconfig` (or `cmake`) to locate the `libcamera` library, which the test application will be dynamically linked against.

With the build file in place, compile and run the application with:

    $ meson build
    $ cd build
    $ ninja
    $ ./simple-cam

It is possible to increase the library debug output by using environment variables which control the library log filtering system:

    $ LIBCAMERA_LOG_LEVELS=0 ./simple-cam