Meaning In Architecture Jencks Pdf here. The PrimeSense NiTE™ is the most advance and robust 3D computer vision middleware available today, boasting a thin host, minimal CPU load, and multiplatform support. This middleware provides the application with a clear user control API, whether it is hand-based control or a full-body control.

The algorithms utilize the depth, color, IR and audio information received from the hardware device, which enable them to perform functions such as hand locating and tracking; a scene analyzer (separation of users from background); accurate user skeleton joint tracking; various gestures recognition; and more. For the old NiTE 1.x middleware, see OpenNI SDK History: For more information about NiTE license, please read the NiTE Licensing and Distributions terms: Please note that this version is the unstable version (Beta) and requires OpenNI2.2 Beta in order to work. New features in NiTE 2.2 Beta: • Added support for Capri • Multiple devices support • Java Wrappers including two new samples (UserViewer.Java & HandViewer.Java) • Linux support • Mac support NiTE key benefits: • Thin host middleware for natural interface • Wide range of gesture detectors • Configurable, flexible and extendible by users of the OpenNI standard • Multiplatform – Windows, Linux, Mac OS and Android • Minimal CPU load, optimized for x86 and ARM architecture • Proven mass-market scalability.

PrimeSense Sensor Module for OpenNI (Version 5.1.2.1 - May 15th 2012) --------------------------------------------------------------------- Website: Forum: Wiki: Binaries are available at: (The 'OpenNI Compliant Hardware Binaries' section) Sources are available at: or for the unstable branch Release Notes: -------------- * At the moment, the default is to compile the code with SSE3 support (this is also true for the supplied binaries). If you have a CPU without such support, please remove the sse compiler flags from the make files. (A good hint for this error is that you encounter an 'illegal instructions' messages) * By default, the linux kernel mounts unknown USB devices with write permissions to root only, and read-only permissions to other users. When not running as root, this prevents communicating with the device. To fix this issue: - Navigate to Platform/Linux/Build - run 'make install-usb-rules' - if the device was connected, unplug and reconnect it. This part is done automatically by the install script, but you will need to do it manually if you choose not to use the automated install.

Download the required packages from the. Microsoft Kinect API’s – Installing the OpenNI Modules. Microsoft Kinect API’s – Installing the OpenNI Modules. On the RGBDemo web page, click the Windows binaries download link, as shown in Figure 1-8. The page will jump to a line that contains a link to a file called RGBDemo-0.6.1rc1-Win32.zip (Figure 1-9). Before you click that download link, you'll need to carefully carry out two steps in sequence. First, I want you to select and.

* Linux: The device driver contains a thread for reading from the USB device. This thread should have high priority in order to function correctly. Each process using the device driver should have the CAP_SYS_NICE capability in order to raise thread priority. Failing to have that capability, will cause a failure in setting priority, consequently causing loss of data. * MacOSX: Only OSX 10.6 (Snow Leopard) and above with a 64-bit Intel based CPU is currently supported. Client/Server is not supported yet so do not attempt to access the sensor with more then one application. Build Notes: ------------ Windows: Requirements: 1) Microsoft Visual Studio 2010 From: 2) Python 2.6+/3.x From: 3) PyWin32 From: Please make sure you download the version that matches your exact python version.

4) WIX 3.5 From: 5) OpenNI 1.5.x.x From: Optional Requirements (To build the documentation): 1) Doxygen From: 2) GraphViz From: Building Sensor: 1) Go to the directory: 'Platform Win32 CreateRedist'. Run the script: 'Redist.py'. This will compile and prepare the redist exe files that includes everything. 2) Install the exe you've just made which is located in Platform Win32 CreateRedist FinalXX Sensor-Win32-5.x.x.x.exe (XX being the number of bits: 32 or 64) The installer will also automatically register all the modules into OpenNI via the NiReg utility.

The visual studio solution is located in: Platform Win32 Build EngineWin32.sln. Important: Please note that even though the directory is called Win32, you can also use it to compile it for 64-bit targets (AMD64/x64). Linux: Requirements: 1) GCC 4.x From: Or via apt: sudo apt-get install g++ 2) Python 2.6+/3.x From: Or via apt: sudo apt-get install python 3) OpenNI 1.5.x.x From: Building Sensor: 1) Go into the directory: 'Platform/Linux/CreateRedist'. Run the script: './RedistMaker'. This will compile everything and create a redist package in the 'Platform/Linux/Redist' directory. It will also create a distribution in the 'Platform/Linux/CreateRedist/Final' directory.

2) Go into the directory: 'Platform/Linux/Redist'. Run the script: 'sudo./install.sh' (needs to run as root) The install script copies key files to the following location: Libs into: /usr/lib Bins into: /usr/bin Config files into: /usr/etc/primesense USB rules into: /etc/udev/rules.d Logs will be created in: /var/log/primesense To build the package manually, you can run 'make' in the 'Platform Linux Build' directory.

Important: Please note that even though the directory is called Linux, you can also use it to compile it for 64-bit targets and pretty much any other linux based environment. Building Sensor using a cross-compiler: 1) Make sure to define two environment variables: - _CXX - the name of the cross g++ for platform - _STAGING - a path to the staging dir (a directory which simulates the target root filesystem). Note that should be upper cased. For example, if wanting to compile for ARM from a x86 machine, ARM_CXX and ARM_STAGING should be defined.

2) Go into the directory: 'Platform/Linux/CreateRedist'. Run: './RedistMaker ' (for example: './RedistMake Arm'). This will compile everything and create a redist package in the 'Platform/Linux/Redist' directory.

It will also create a distribution in the 'Platform/Linux/CreateRedist/Final' directory. 3) To install OpenNI files on the target file system: Go into the directory: 'Platform/Linux/Redist'. Run the script: './install.sh -c $_STAGING' (for example: './install.sh -c $ARM_STAGING'). The install script copies key files to the following location: Libs into: STAGING/usr/lib Bins into: STAGING/usr/bin Config files into: STAGING/usr/etc/primesense USB rules into: STAGING/etc/udev/rules.d Logs will be created in: STAGING/var/log/primesense To build the package manually, you can run 'make PLATFORM=' in the 'Platform Linux Build' directory.

If you wish to build the Mono wrappers, also run 'make PLATFORM= mono_wrapper' and 'make PLATFORM= mono_samples'. MacOSX: Requirements: 1) For Mac OSX 10.7, Xcode 4.3.2 From: You will also need to download and install the 'Commandline Tools for XCode - Late March 2012' package: Note: Since Xcode is now a normal application, it no longer automatically install itself. You have to copy&paste Xcode yourself into your Applications folder.

(or run the application 'Install Xcode' from your Applications folder / LaunchPad). It's also recommended to run the following command after you do the above: sudo xcode-select -switch /Applications/Xcode.app/ For Mac OSX 10.6, Xcode 3.2.6: From: Please note that you need to register as a mac developer (It's free!). 2) OpenNI 1.5.x.x From: Building Sensor: 1) Go into the directory: 'Platform/Linux/CreateRedist'. Run the script: './RedistMaker'. Spreadtrum Flash Tool Free.

This will compile everything and create a redist package in the 'Platform/Linux/Redist' directory. It will also create a distribution in the 'Platform/Linux/CreateRedist/Final' directory. 2) Go into the directory: 'Platform/Linux/Redist'.

Run the script: 'sudo./install.sh' (needs to run as root) The install script copies key files to the following location: Libs into: /usr/lib Bins into: /usr/bin Config files into: /usr/etc/primesense USB rules into: /etc/udev/rules.d Logs will be created in: /var/log/primesense To build the package manually, you can run 'make' in the 'Platform Linux Build' directory.