Intel RealSense SDK is using CMake eco-system to offer useful customization to customers who wish to build the SDK from source.
For example, to generate makefile with
Alternatively, use
BUILD_EXAMPLES
flag turned-on, use the following command line: cmake . -DBUILD_EXAMPLES=true
.Alternatively, use
cmake-gui
utility to configure and generate your build files.OS Version Date; Intel® RealSense™ Depth Camera Manager. Installs the Intel® RealSense™ Depth Camera Manager for short-range and long-range cameras. Driver: Windows 10, 64-bit. Windows 8.1, 64-bit. Latest Latest: 2/4/2016. This project is a cross-platform library (Linux, Windows, Mac) for capturing data from the Intel® RealSense™ F200, SR300, R200, LR200 and the ZR300 cameras. This effort was initiated to better support researchers, creative coders, and app developers in domains such as robotics, virtual reality, and the internet of things.
Build SDK examples and tools
![API Changelog API Changelog](https://ws1.sinaimg.cn/large/006tNc79gy1flmoqgri81j30uy0mowj0.jpg)
Controls the-subset of examples and tools dependent on OpenGL. Disabling this option will reduce the set of tools and examples to
rs-save-to-file
, rs-terminal
, rs-enumerate-devices
and rs-fw-logger
. Recommended for headless systems without the graphic subsystem.Build the full suite of unit-tests for the SDK.
When enabled, YUY to RGB conversion and Depth-Color spatial alignment will take advantage of multiple-cores using
OpenMP
. This can reduce latency at expense of greater CPU utilization.Having UVC per-frame metadata requires building with Windows SDK installed. When this flag is disabled, the resulting binary might not be capable of properly parsing UVC metadata if Windows SDK was not installed during the build. If this flag is true, not having Windows SDK install will break the build.
Build Python bindings for the SDK. Requires Python to be installed. See wrapper page for more information.
Build Node.js bindings for the SDK. Requires Node.js to be installed. See wrapper page for more information.
Setting this flag to true will configure the underlying backend to use
libuvc
. This backend is default for Mac OS, but can be configured on other OS-s as well. libuvc
can serve as a more robust alternative to the native backend, however, it has well known limitations and is not recommended to be used in end-products.When this flag is enabled, all API-calls will be written to the log at
INFO
severity. This will include any errors, duration, input and output parameters as well as the return value. Entry and exit from API calls will be documented as well at DEBUG
severity. Enabling this feature will result in severe performance penalty.When this option is enabled, hardware commands will be dispatched through extension-unit (XU) transfer protocol. When disabled (and assuming the hardware supports it) the SDK will talk to the hardware directly using
libusb
/ WinUSB
.When enabled the output of the library will be a dynamic link library (DLL) or a shared object (SO). When disabled the output will be a static library (LIB/A).
Desired build time. To take advantage of compiler optimizations set to 'Release' or 'RelWithDebInfo'.
When enabled frames that do not require processing will not be mem-copied on arrival, rather the
rs2::frame
object will track native handle to the underlying OS resource (be it V4L2 video-buff or an ISample
). This will reduce CPU utilization and save battery life, but can introduce unexpected latency or frame-drops, since the responsibility for buffer lifetime management falls on the application developer.Perform cross-platform logging using EasyLogging++ 3rd-party library.
Search for OpenCV 3rd-party and include examples under
wrappers/opencv
in the project.Search for PCL 3rd-party library and include example under
wrappers/pcl
in the project.Assuming you received from Intel an engineering sample of V200 (TM2) device with its drivers, enable support for it in the SDK.
When enabled increases binary footprint but prevents the dependency on Visual C++ Redistributables.
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Intel Realsense Sr300 Drivers
Updated 2 years ago
Platform | Build Status |
---|---|
Linux and OS X | |
Windows |
This project is a cross-platform library (Linux, Windows, Mac) for capturing data from the Intel® RealSense™ F200, SR300, R200, LR200 and the ZR300 cameras. This effort was initiated to better support researchers, creative coders, and app developers in domains such as robotics, virtual reality, and the internet of things. Several often-requested features of RealSense™ devices are implemented in this project, including multi-camera capture.
Developer kits containing the necessary hardware to use this library are available for purchase at this link. This project is separate from the production software stack available in the Intel® RealSense™ SDK, namely that this library only encompasses camera capture functionality without additional computer vision algorithms.
The Intel® RealSense™ Cross Platform API is experimental and not an official Intel product. It is subject to incompatible API changes in future updates.
Table of Contents
- Installation Guides:
Useful Links
- Intel RealSense Community - Official support, Q&A and other useful content
- Support Site - Contains content and web ticket capability for 1:1 interaction
- SDK Design Guidelines - Guidelines and tips for designing applications using RealSense cameras
- R200 Datasheet - In-depth information about the R200 camera hardware.
- Intel RealSense Stereoscopic Depth Cameras - A technical paper describing the R200, LR200, SR300 and RS400 in detail. Includes theoretical background, performance expectations, post-processing suggestions, etc.
Documentation
A comprehensive suite of sample and tutorial applications are provided in the
/examples
subdirectory. For new users, it is best to review the tutorial series of apps which are designed to progressively introduce API features.- C API - With doxygen-style API comments
- To build documentation locally from sources, on Ubuntu run the following commands:
sudo apt-get install doxygen
doxygen doc/Doxygen_API/Doxyfile
- Projection APIs - A guide on coordinate systems, calibration information, and projection
- Camera Spec Sheet - A brief overview of R200, F200 and SR300
- Developer Notes - Several informal notes gathered during internal releases
- OpenCV Tutorial - Getting started with librealsense using OpenCV
- Stream Formats - A list of available stream resolutions and pixel formats provided by the supported devices.
- Branching and Releases - Overview of live branches and major releases
Functionality
- Native streams: depth, color, infrared and fisheye.
- Synthetic streams: rectified images, depth aligned to color and vice versa, etc.
- Intrinsic/extrinsic calibration information.
- Majority of hardware-specific functionality for individual camera generations (UVC XU controls).
- Multi-camera capture across heterogeneous camera architectures (e.g. mix R200 and F200 in same application)
- Motion-tracking sensors acquisition (ZR300 only)
Compatible Devices
- RealSense R200
- RealSense F200
- RealSense SR300
- RealSense LR200
Compatible Platforms
The library is written in standards-conforming C++11 and relies only on the C89 ABI for its public interface. It is developed and tested on the following platforms:
- Ubuntu 14.04 and 16.04 LTS (GCC 4.9 toolchain)
- Windows 8.1 and Windows 10 (Visual Studio 2015 Update 2)
- Mac OS X 10.7+ (Clang toolchain)
Hardware Requirements
Developer kits containing the necessary hardware to use this library are available for purchase at this link. In addition, several consumer tablets and laptops with integrated cameras may also function, such as the HP Spectre x2 with R200.
Developer kits require USB 3.0. RealSense™ cameras do not provide backwards compatibility with USB 2.0. Not all USB host chipsets are compatible with this library, although it has been validated with recent generations of the Intel Host Controller chipset. An exhaustive list of incompatible hardware is not presently provided. On x86, a Haswell or newer architecture is recommended.
For small-form factor usages, this library has been demonstrated to work on the following boards: * Intel Compute Stick, BOXSTK1AW32SCR * MinnowBoard Max * Kangaroo MD2B * UP Board * Intel Joule
Integrations
The library has been integrated with a number of third-party components and operating systems. While most of these projects are not directly supported by the team, they are useful resources for users of this library.
- Robotic Operating System (Intel Supported; R200, F200, SR300 all supported)
Community Contributions
Additional language bindings (experimental, community maintained): * Python * Java (generated by JavaCPP)
![Cached Cached](https://i.stack.imgur.com/rSMic.png)
Excellent blog-series by @teknotus covering the fundamentals of working with RealSense on Linux: * Intel RealSense camera on Linux * 3d Camera Controls * Infrared, calibration, point clouds * The long road to ubiquitous 3d cameras
Using RealSense Cameras With OS X And Linux | Hackaday
License
Copyright 2016 Intel Corporation
Licensed under the Apache License, Version 2.0 (the 'License');you may not use this project except in compliance with the License.You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an 'AS IS' BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License.