SimpleOpenNI 配套processing 3

# SimpleOpenNI ### Use Kinect 1 or 2 sensors with Processing 3 <img src="Assets/threshold.gif" width="900"> <img src="Assets/Kinect_V2_Tracking.gif" width="900"> > Example of skeleton tracking using KinectV2 <img src="Assets/200w_d.gif" width="900"> > Example of skeleton tracking using KinectV1 I update the driver to can use this library with Processing 3 and 2 with Kinect V1 and V2 > Kinect V2 just works with USB 3.0 ### The instructions to Setup the Kinect are written for Mac OS High Sierra users. ## Getting Started These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system. ### Prerequisites * Processing IDE * A computer with OSX * Kinect V1 * Kinect V2 ### Alternative: * [Atom](https://atom.io/) * Arduino IDE * Arduino board ### Installing Install the last stable version of Processing IDE, you can download it from this page: * [Processing IDE](https://processing.org/download/) For OSX you just need to unzip the folder and paste the App in the applications folder. * Repository for Processing V3.4: [SimpleOpenni for Processing 3.4](https://github.com/totovr/SimpleOpenni/tree/Processing_3.4). * Repository for Processing V3.3.7: [SimpleOpenni for Processing 3.3.7](https://github.com/totovr/SimpleOpenni/tree/Processing_3.3.7). * Repository for Processing V3.3.6: [SimpleOpenni for Processing 3.3.6](https://github.com/totovr/SimpleOpenni/tree/Processing_3.3.6). * Repository for Processing V2.2.1: [SimpleOpenni for Processing 2](https://github.com/totovr/SimpleOpenni/tree/Processing_2.2.1). > The library has compatibility with Kinect V2 just in Processing V3.4, V3.3.7 and V3.3.6 Once you have downloaded the library unzip it and follow the next steps: 1. Select the folder SimpleOpenNI and choose: Edit > Copy 2. Go to the Finder Choose Go > Go to Folder... and enter “~/Documents/Processing/libraries/" **Without the quotation marks. Click OK.** 3. Press **Cmd-V** or choose Edit > Paste menu to put "SimpleOpenNI" in this location. ## Test a program sample: 1. Connect your Xbox Kinect motion sensor to your computer in an available USB port. Ensure the sensor is connected to a power source. 2. Open Processing IDE 3. Copy and paste the next example in the sketch: ``` import SimpleOpenNI.*; SimpleOpenNI context; void setup() { size(640, 480); context = new SimpleOpenNI(this); if (context.isInit() == false) { println("Can't init SimpleOpenNI, maybe the camera is not connected!"); exit(); return; } // mirror is by default enabled context.setMirror(true); // enable depthMap generation context.enableDepth(); // enable ir generation context.enableRGB(); } void draw() { // update the cam context.update(); background(200, 0, 0); // draw depthImageMap image(context.depthImage(), 0, 0); // draw irImageMap image(context.rgbImage(), context.depthWidth() + 10, 0); } ``` This is one example of how to activate the deep camera of the Kinect. ## For more examples check the next links: * For Processing 3.4 the examples are added directly in the library, the Remove_Background_RGB example just work with Kinect V1 * For Processing 3.3.7 check this branch: [Kinect V1 and V2 Processing 3](https://github.com/totovr/Processing/tree/Processing-3.3.7). * For Processing 3.3.6 check this branch: [Kinect V1 and V2 Processing 3](https://github.com/totovr/Processing/tree/Processing-3.3.6). * For Processing 2.2.1 check this branch: [Kinect V1 Processing 2](https://github.com/totovr/Processing/tree/Processing-2.2.1/Kinect). ## Also you can use the next text editor to build programs: * [Atom](https://atom.io/) * Open package manager -> Install new Package -> Processing ***Use this package to run Processing Sketch inside Atom*** ## Contributing Please read [CONTRIBUTING.md](https://github.com/totovr/SimpleOpenni/blob/master/CONTRIBUTING.md) for details of the code of conduct, and the process for submitting pull requests to us. ## Versioning I use [SemVer](http://semver.org/) for versioning. ## Author of SimpleOpenNI library: Max Rheiner * [Link](https://code.google.com/archive/p/simple-openni/) ## Supporter Antonio Vega Ramirez: * [Github](https://github.com/totovr) * [Twitter](https://twitter.com/SpainDice) ## License This project is licensed under The MIT License (MIT) - see the [LICENSE.md](https://github.com/totovr/SimpleOpenni/blob/master/LICENSE.md) file for details ## Images <img src="Assets/Skeleton_Tracking.png" width="600"> <img src="Assets/deep.png" width="600"> ## Video * [Youtube Video](https://www.youtube.com/watch?v=5n5qqz3RfPM) ## Reference This library was created by Max Rheiner and his Project: * [Link](https://code.google.com/archive/p/simple-openni/0)