This example demonstrates usage of the recorder and playback devices. We'll show how to use rs2::recorder with rs2::pipeline to
record frames from the camera to a .bag file ('a.bag' in the example), with an option to pause and resume the recording.
After the file is ready, we'll demonstrate how to play, pause, seek and stop a .bag file using rs2::playback.
Throughout the example, frames from the active device (default, recorder or playback) will be rendered.
As with any SDK application we include the Intel RealSense Cross Platform API:
#include <librealsense2/rs.hpp>In this example we will also use the auxiliary library of example.hpp:
#include "../example.hpp" example.hpp lets us easily open a new window and prepare textures for rendering.
In addition to the standard library included headers, we include 2 header files which will help us to render GUI controls in our window application:
#include <imgui.h>
#include "imgui_impl_glfw.h"These headers are part of the ImGui library which we use to render GUI elements.
Also, we include header files used for measuring time in the playback and for convenient display of time:
#include <sstream>
#include <iostream>
#include <iomanip>We'll use 2 helper functions for rendering the GUI, to allow us to make the main code less verbose.
// Helper function for dispaying time conveniently
std::string pretty_time(std::chrono::nanoseconds duration);
// Helper function for rendering a seek bar
void draw_seek_bar(rs2::playback& playback, int* seek_pos, float2& location, float width);We first define some variables that will be used to show the window and GUI.
// Create a simple OpenGL window for rendering:
window app(1280, 720, "RealSense Post Processing Example");
ImGui_ImplGlfw_Init(app, false);
// Create booleans to control GUI (recorded - allow play button, recording - show 'recording to file' text)
bool recorded = false;
bool recording = false;Next, we define a texture, which is a class designed to hold video frame data for rendering, rs2::frameset which will hold
a set of frames from the camera and rs2::frame for the depth frame.
// Declare a texture for the depth image on the GPU
texture depth_image;
// Declare frameset and frames which will hold the data from the camera
rs2::frameset frames;
rs2::frame depth;Also, we define an rs2::colorizer to allow the point cloud visualization have a texture:
// Declare depth colorizer for pretty visualization of depth data
rs2::colorizer color_map;Now we need to create an rs2::pipeline which is a top level API for using RealSense depth cameras.
rs2::pipeline automatically chooses a camera from all connected cameras which matches the given configuration,
so we can simply call pipeline::start(cfg) and the camera is configured and streaming.
In order to allow using different types of devices (rs2::recorder, rs2::playback) and read\write to the same file, we define a shared
pointer to rs2::pipeline. This way we'll be able to release previous resources when switching to a different device.
For now, we configure the pointed pipeline with the default configuration and start streaming the default stream. We'll use this stream whenever there is no recorder or playback running, for continuous display of images from the camera.
// Create a shared pointer to a pipeline
auto pipe = std::make_shared<rs2::pipeline>();
// Start streaming with default configuration
pipe->start();Define seek_pos, which is used for allowing the user control the playback.
// Create a variable to control the seek bar
int seek_pos;First, we wait for frames from the camera for rendering. This is relevant for frames which arrive from the recorder or from the
device with the default configuration, because those two are streaming live. We can not use wait_for_frames with the playback,
because we might run out of frames.
// If the device is sreaming live and not from a file
if (!device.as<rs2::playback>())
{
frames = pipe->wait_for_frames(); // wait for next set of frames from the camera
depth = color_map(frames.get_depth_frame()); // Find and colorize the depth data
} We begin with recorder functions. First, we allow recording only if playback is not currently running.
if (!device.as<rs2::playback>()) There are two cases where the 'record' button would be clicked: begin a recodring, or resume a recorder that has already started.
We check whether device is a already recorder to indicate which of the cases it is.
// If it is the start of a new recording (device is not a recorder yet)
if (!device.as<rs2::recorder>())In the first case, we stop the pipeline and initiate the shared pointer with a new pipeline.
pipe->stop(); // Stop the pipeline with the default configuration
pipe = std::make_shared<rs2::pipeline>();Then we initiate a new configuration, allowing recording to the file 'a.bag' using the function enable_record_to_file, and start the
pipeline with the new configuration. Also, we update the device variable to hold the current device.
rs2::config cfg; // Declare a new configuration
cfg.enable_record_to_file("a.bag");
pipe->start(cfg); //File will be opened at this point
device = pipe->get_active_profile().get_device();In the second case, the device is already a recorder, so we can just use it's resume function. In order to acces function of rs2::recorder,
we use as<rs2::recorder>() .
else { // If the recording is resumed after a pause, there's no need to reset the shared pointers
device->as<rs2::recorder>().resume(); // rs2::recorder allows access to 'resume' function
}We can pause the recording using the 'pause' function of the rs2::recorder.
device->as<rs2::recorder>().pause();To stop recording, we need to stop the pipeline and release any resources that the pipeline holds, including the 'a.bag' file. Therefore, we initiate the shared pointer with a new pipeline.
pipe->stop(); // Stop the pipeline that holds the file and the recorder
pipe = std::make_shared<rs2::pipeline>(); //Reset the shared pointer with a new pipelineThen, we start the new pipeline with the default configuration, which allows us to render frames from the camera while no recorder or
playback are running. Also, we update device to hold the current device.
pipe->start(); // Resume streaming with default configuration
device = pipe->get_active_profile().get_device();
recorded = true; // Now we can run the file
recording = false;Now that we have a recorded file, we can play it using the 'playback' device. The flow is the same as for the recorder, only this time
we use enable_device_from_file function on the configuration:
if (!device.as<rs2::playback>()) {
rs2::playback playback = device.as<rs2::playback>();
pipe->stop(); // Stop streaming with default configuration
pipe = std::make_shared<rs2::pipeline>();
rs2::config cfg;
cfg.enable_device_from_file("a.bag");
pipe->start(cfg); //File will be opened in read mode at this point
device = pipe->get_active_profile().get_device();
}
else
{
playback.resume();
}For pause of the playback, we use device.as<rs2::playback>().pause().
Stopping the playback, similarly to stopping the recorder:
pipe->stop();
pipe = std::make_shared<rs2::pipeline>();
pipe->start();
device = pipe->get_active_profile().get_device();In order to render frames from the playback, we check if there are ready frames in the pipeline using poll_for_frames.
if (pipe->poll_for_frames(&frames)) // Check if new frames are ready
{
depth = color_map(frames.get_depth_frame()); // Find and colorize the depth data for rendering
}Also, we call draw_seek_bar function which allows the user to control the playback.
// Render a seek bar for the player
float2 location = { app.width() / 4, 4 * app.height() / 5 + 100 };
draw_seek_bar(device->as<rs2::playback>(), &seek_pos, location, app.width() / 2);Finally, depth rendering is implemented by the texture class from example.hpp
// Render depth frames from the default configuration, the recorder or the playback
depth_image.render(depth, { app.width() / 4, 0, 3 * app.width() / 5, 3 * app.height() / 5 + 50 });