Book Image

OpenCV with Python Blueprints

By : Michael Beyeler, Michael Beyeler (USD)
Book Image

OpenCV with Python Blueprints

By: Michael Beyeler, Michael Beyeler (USD)

Overview of this book

Table of Contents (14 chapters)
OpenCV with Python Blueprints
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Setting up the app


Before we can get down to the nitty-gritty of our gesture recognition algorithm, we need to make sure that we can access the Kinect sensor and display a stream of depth frames in a simple GUI.

Accessing the Kinect 3D sensor

Accessing Microsoft Kinect from within OpenCV is not much different from accessing a computer's webcam or camera device. The easiest way to integrate a Kinect sensor with OpenCV is by using an OpenKinect module called freenect. For installation instructions, take a look at the preceding information box. The following code snippet grants access to the sensor using cv2.VideoCapture:

import cv2
import freenect


device = cv2.cv.CV_CAP_OPENNI
capture = cv2.VideoCapture(device)

On some platforms, the first call to cv2.VideoCapture fails to open a capture channel. In this case, we provide a workaround by opening the channel ourselves:

if not(capture.isOpened(device)):
    capture.open(device)

If you want to connect to your Asus Xtion, the device variable should...