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Software Support Model - Intel® RealSense™ SDK 2.0

Overview

With the release of the D400 series of Intel® RealSense™ devices, Intel RealSense Group is introducing a number of changes to the librealsense support.

Software support for Intel® RealSense™ technology will be split into two coexisting release lineups: librealsense 1.x and librealsense 2+.</br/>

  • librealsense 1.x will continue to provide support for RealSense™ devices: F200, R200 and ZR300.

  • librealsense 2+ will support the next generation of RealSense™ devices, starting with the RS300 and RS400.

API Changes

librealsense2 brings the following improvements and new capabilities (which are incompatible with older RealSense devices):

Streaming API

  • librealsense2 provides a more flexible interface for frames acquisition.
    Instead of a single wait_for_frames loop, the API is based on callbacks and queues:
// Configure queue of size one and start streaming frames into it
rs2::frame_queue queue(1);
dev.start(queue);
// This call will block the current thread until new frames become available
auto frame = queue.wait_for_frame();
auto pixels = frame.get_data(); // pointer to frame data
  • The same API can be used in a slightly different way for low-latency applications:
// Configure direct callback for new frames:
dev.start([](rs2::frame frame){
    auto pixels = frame.get_data(); // pointer to frame data
});
// The application will be notified as soon as new frames become available.

Note: This approach allows users to bypass buffering and synchronization that was done by wait_for_frames.

  • Users who do need to synchronize between different streams can take advantage of the rs2::syncer class:
sycner sync;
dev.start(sync);
// The following call, using the frame timestamp, will block the
// current thread until the next coherent set of frames become available
auto frames = sync.wait_for_frames();
for (auto&& frame : frames)
{
    auto pixels = frame.get_data(); // pointer to frame data
}
  • This version of wait_for_frames is thread-safe by design. You can safely pass a rs::frame object to a background thread. This is done without copying the frame data and without extra dynamic allocations.

Multi-Streaming Model

librealsense2 eliminates limitations imposed by previous versions with regard to multi-streaming:

  • Multiple applications can use librealsense2 simultaneously, as long as no two users try to stream from the same camera endpoint.
    In practice, this means that you can:
    • Stream multiple cameras within a single process
    • Stream camera A from one process and camera B from another process
    • Stream depth from camera A from one process while streaming fisheye / motion from the same camera from another process
    • Stream camera A from one process while issuing controls to camera A from another process
  • The following streams of the RS400 act as independent endpoints: Depth, Fisheye, Motion-tracking, Color
  • Each endpoint can be exclusively locked using open/close methods:
// Configure depth to run at first permitted configuration
dev.open(dev.get_stream_profiles().front());
// From this point on, device streaming is exclusively locked.
dev.close(); // Release device ownership
  • Alternatively, users can use the rs2::util::config helper class to configure multiple endpoints at once:
rs2::util::config config;
// Declare your preferences
config.enable_all(rs2::preset::best_quality);
// The config object resolves it into concrete camera capabilities
auto stream = config.open(dev);
stream.start([](rs2::frame) {});

New Functionality

  • librealsense2 will be shipped with built-in Python Wrapper for easier integration.
  • New troubleshooting tools are now part of the package, including a tool for hardware-log collection.
  • librealsense2 is capable of handling device disconnects and the discovery of new devices at runtime.
  • Playback & Record functionality is available out-of-the-box.

Transition to CMake

librealsense2 does not provide hand-written Visual Studio, QT-Creator and XCode project files as you can build librealsense with the IDE of your choice using portable CMake scripts.

Intel® RealSense™ RS400 and the Linux Kernel

  • The Intel® RealSense™ RS400 series (starting with kernel 4.4.0.59) does not require any kernel patches for streaming
  • Advanced camera features may still require kernel patches. Currently, getting hardware timestamps is dependent on a patch that has not yet been up-streamed. Without the patch applied you can still use the camera but you will receive a system-time instead of an optical timestamp.