Kinect python tutorial

Welcome to the Kinect 2 Hands on Labs! This series will show you how to build a Windows 8. The lessons in this series work the best when completed in order. You can download a master copy of the complete app and all labs and referenced libraries through the github links on the left.

Or if you know a bit about development with the Kinect 2 already, you can skip to a particular lab by navigating to it at the top of the page. The running codebase is available through a link at the bottom of each page, which is complete and runnable as if you have just finished that lab. If you have any suggestions or would like to report any bugs, please leave some feedback on the Kinect Tutorial GitHub Issues page.

Enjoy the labs and have fun! System Requirements The target application is a Windows 8. Supported Operating Systems and Architectures. Debugging the Kinect 2 requires that you meet the system requirements. If you are unsure that the Kinect is plugged in properlyyou can check a light indicator on the power box of the unit the box which comes from the single cable in the Kinect 2 and results in power and USB 3.

If the light on the power-box is Orange then something is wrong with either the power, Kinect 2, or USB3. If the light is White then the Kinect is correctly registered with windows as a device to be used. The Kinect 2.The kinect is an amazing and intelligent piece of hardware.

The RGB camera is like any other camera such as a webcam but it is the depth sensor that the Kinect is known for as it enables the Kinect to perceive the world around it in 3D! Note :- This tutorial assumes that you have Linux Ubuntu or Ubuntu based Linux distro with opencv installed on your system.

Run the following command in a terminal to test if libfreenect is correctly installed. This should cause a window to pop up showing the depth and RGB images. Before doing that, install the necessary dependencies. You are commenting using your WordPress. You are commenting using your Google account. You are commenting using your Twitter account. You are commenting using your Facebook account.

Notify me of new comments via email. Notify me of new posts via email. Skip to content Home About. Search for:. Here are the steps to get started with using the kinect :- Note :- This tutorial assumes that you have Linux Ubuntu or Ubuntu based Linux distro with opencv installed on your system.

Run the following command in a terminal to test if libfreenect is correctly installed freenect-glview This should cause a window to pop up showing the depth and RGB images.

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Before doing that, install the necessary dependencies sudo apt-get install cython sudo apt-get install python-dev sudo apt-get install python-numpy 9 Go to the directory …….

Share this: Twitter Facebook. Like this: Like Loading Leave a Reply Cancel reply Enter your comment here Fill in your details below or click an icon to log in:. Email required Address never made public. Name required. Post to Cancel.I will go over these in some detail, and give a fairly high level overview of the display code.

You need to include Ole2. Don't forget to include the relevant code for your windowing system and OpenGL.

kinect python tutorial

Note that the data array will hold a copy of the image we get from the Kinect, so that we can use it as a texture. The initKinect function initializes a Kinect sensor for use.

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This consists of two parts: First we find an attached Kinect sensor, then we initialize it and prepare to read data from it.

Note the general pattern of data stream requesting: Make a framesource of the appropriate type Color, Depth, Body, etc. We poll for a frame from the data source, and if one is available, we can copy it into our texture array in the appropriate format. Don't forget to release the frame afterward! Metadata about the frame can be accessed as well.

This also applies to Depth and IR frames. That's all the Kinect code! The rest is just how to get it onscreen.

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It simply initializes a window using the appropriate API, returning false on failure. The GLUT version also sets up a main loop by specifying that the draw function be called every loop iteration. The main loop is started in the execute function. In SDL we write our own loop. Within each loop, we draw any new frames to the screen; this processing is done in the drawKinect function. There are many references online for both GLUT and SDL if you want to do more complex window and loop management or learn more about these functions.

I just put it into main for brevity. OpenGL texture and camera initialization We first copy the kinect data into our own buffer, then specify that our texture will use that buffer. Build and run, making sure that your Kinect is plugged in. You should see a window containing a video stream of what your Kinect sees. Home Tutorials Home. Next: Kinect Depth Data.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

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It's great fun to play on it, So, I was wondering if it was possible to use Python to use it and make my own games and play on PC. Currently, I have 1. Drivers from Microsoft and the hardware. No experience with 3d programming.

My Questions 1. Is there good and easy to use module for using Kinect on PC?? And any books for the same??

kinect python tutorial

There is a project called Open Kinect which has many wrappers that you can make use of, including one for Python. To help you get started, there are a good few code demo's supplied with their source code, which can also be viewed online here. Once you've got to grips with making use of the information the Kinect is sending back to you, you can try the popular pygame to base a game around whatever it is you're trying to do.

Learn more. Python- How to configure and use Kinect Ask Question. Asked 7 years, 2 months ago. Active 7 years, 2 months ago. Viewed 24k times.

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I am using Windows 32 and 64 bit and Python 2. Schoolboy, did you managed to build something since you last posted this? If so, can you share any links to show us what you had. I'm planning to experiment on my xbox some day too.

I only ended up writing some code to detect object s Anything closer than some distance to show "Move back" text. And after failing miserably, moved on in life I was just looking around my files but I have switched machines and it seems the code is lost Active Oldest Votes.

Gareth Webber Gareth Webber 3, 1 1 gold badge 14 14 silver badges 25 25 bronze badges. What is Python-dev mentioned here??By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I know that the similar task can be achieved in C using Microsoft. Kinect libraries like the below code:.

But, I can't seem to convert it into Point X,Y format. Will I need to use NumPy or some other external Python library for this? Any suggestions would really be appreciated.

kinect python tutorial

You can use regex to extract the values, I am not sure if this is what you are looking for but try this:. Learn more. Asked 7 years, 3 months ago. Active 4 years, 10 months ago. Viewed 2k times. This is a pretty simple issue but I am new to Python and I can't seem to accomplish it. Vito Gentile 9, 6 6 gold badges 47 47 silver badges 79 79 bronze badges. How does it print out, or does it even print out?

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Please show the output. Sorry, just edited it in the question. Active Oldest Votes.The Microsoft Kinect sensor is a peripheral device designed for XBox and windows PCs that functions much like a webcam. However, in addition to providing an RGB image, it also provides a depth map. Meaning for every pixel seen by the sensor, the Kinect measures distance from the sensor.

This makes a variety of computer vision problems like background removal, blob detection, and more easy and fun! The Kinect sensor itself only measures color and depth. This library uses libfreenect and libfreenect2 open source drivers to access that data for Mac OS X windows support coming soon.

OpenNI has features skeleton tracking, gesture recognition, etc. Unfortunately, OpenNI was recently purchased by Apple and, while I thought it was shut, down there appear to be some efforts to revive it!

If you want to install it manually download the most recent release and extract it in the libraries folder. Restart Processing, open up one of the examples in the examples folder and you are good to go!

Processing is an open source programming language and environment for people who want to create images, animations, and interactions. Initially developed to serve as a software sketchbook and to teach fundamentals of computer programming within a visual context, Processing also has evolved into a tool for generating finished professional work.

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Today, there are tens of thousands of students, artists, designers, researchers, and hobbyists who use Processing for learning, prototyping, and production. Currently, the library makes data available to you in five ways:. If you want to use the Kinect just like a regular old webcam, you can access the video image as a PImage! You can simply ask for this image in drawhowever, if you can also use videoEvent to know when a new image is available.

With kinect v1 cannot get both the video image and the IR image. They are both passed back via getVideoImage so whichever one was most recently enabled is the one you will get. However, with the Kinect v2, they are both available as separate methods:. For the kinect v1, the raw depth values range between 0 andfor the kinect v2 the range is between 0 and For the color depth image, use kinect.

Pixel XY in one image is not the same XY in an image from a camera an inch to the right.

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This can be accessed as follows:. Finally, for kinect v1 but not v2you can also adjust the camera angle with the setTilt method.

So, there you have it, here are all the useful functions you might need to use the Processing kinect library:. For everything else, you can also take a look at the javadoc reference. Code for v1: MultiKinect. Code for v2: MultiKinect2. Code for v1: PointCloud.

Programming Kinect V2 For Windows TUTO1

Code for v2: PointCloud. This tutorial is also a good place to start. In addition, the example uses a PVector to describe a point in 3D space.

More here: PVector tutorial. The raw depth values from the kinect are not directly proportional to physical depth. Rather, they scale with the inverse of the depth according to this formula:. Rather than do this calculation all the time, we can precompute all of these values in a lookup table since there are only depth values. Thanks to Matthew Fisher for the above formula.

kinect python tutorial

More about calibration in a moment. The real magic of the kinect lies in its computer vision capabilities. Ignore it!It is possible to use the Xbox kinect with SimpleCV. This makes it much easier to filter things out of the image based on depth.

Getting Started with Kinect and Processing

It is possible get a 3D image from two cameras called Stereopsis just as how humans see objects with their eyes. The xbox significantly helps solve that computational problem by using infrared dots in the image to do some detection of the depth. In the first example we will do exactly that, just load up the kinect and then get the depth image, where black is closer to the camera, and white is further away. Download the script. There is a little trick SimpleCV does to make the depth image play nice is converts it to a greyscale image.

So normally the depth image is 11bit depth and a greyscale image is 8 bit depth. A greyscale image has a color from 0 to This is just like a color image, except a color image has three channels that go fromand a greyscale only one.

What this means is if you have by pixel image, each pixel on that image will be represent with a number between 0 and For us this becomes useful because SimpleCV converts it from 11bit depth to 8bit depth so you can treat the image just like a greyscale image.

This is useful as mentioned before, for things like filtering on depth. We can use a normal image manipulation function to filter items out. So lets make an example, where we filter out things that are further away. To do this just add the following to the loop so you have:. If you want 11 bit depth for higher accuracy you can use cam. SimpleCV latest. Note If you want 11 bit depth for higher accuracy you can use cam.


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