Installation

OSX

Make sure you have libfreenect2 installed

And OpenCV installed

brew tap homebrew/science
brew install opencv3 --with-contrib --with-cuda --with-ffmpeg --with-tbb --with-qt5

Check if the python bindings work

 % python
 Python 2.7.10 (default, Sep 23 2015, 04:34:21)
 [GCC 4.2.1 Compatible Apple LLVM 7.0.0 (clang-700.0.72)] on darwin
 Type "help", "copyright", "credits" or "license" for more information.
 >>> import cv2
 >>>

Now run the install script

./install.sh

Linux

TODO: Add steps for Linux installation

Windows

TODO: Add steps for Windows installation

Running

Cascade Images

A helper python script for running classifiers on movies, and generating pictures to use in creating a cascade classifier.

 % ./cascadeImages.py -h
usage: cascadeImages.py [-h] [--output OUTPUT] [--negative] [--stream STREAM]
                        [--cascade CASCADE]
                        videofile

Filters a video for positive images for use with Cascade Classifiers

positional arguments:
  videofile             The video to process

optional arguments:
  -h, --help            show this help message and exit
  --output OUTPUT, -o OUTPUT
                        The folder to store all of the positive images
  --negative, -n        Generate photos that don't contain the image
  --stream STREAM, -s STREAM
                        Stream the location data of the quad to a network
                        address. Supports http:// POST and ws://
  --cascade CASCADE, -c CASCADE
                        A cascade filter to use on the video stream

Using the generated classifier for a quadcopter

./cascadeImages.py ../../videos/quad_ballroom.mov -c ../../classifiers/quadcopter-cascade-1500.xml

Using the tld tracker

./cascadeImages.py ../../videos/quad_ballroom.mov

Once the video is started, press i on your keyboard. This will pause the video on that frame Using your mouse, click the 4 corners of the area you wish to track. A green dot will be placed when you click.

After selecting the 4 points for the bounding box, press the space bar. The video will resume and a blue box will form around the object you're tracking.

Press q to quit

TODO

Finish modularizing the code
Work on best way to get quad location in Frame
- CamShiftFilter
- KNNBackgroundSubtractor
- CascadeClassifier
Define API for sending quad location to client apps
Switch to use setup.py

adierkens / kinectdrone