LeapWebVisualizer

Project to visualize the hand and finger data from the Leap Motion in a web browser.

Uses an enhanced version of the Leap -> Python -> WebSockets bridge leapfrog, written by Tyler Williams.

##How to run

1. Install the Leap Motion SDK, plug in the Leap Motion and run the Leap application (the icon should appear green in the system tray).
2. Install python
3. Install PIP (you may have to setup distribute or easy_install first)
4. Run pip install tornado (http://www.tornadoweb.org/)
5. Run pip install simplejson (https://github.com/simplejson/simplejson)
6. Run python websocketserver.py
7. Open browser to http://localhost:8888

##If you don't have the Leap Motion hardware For step 6, you can playback a file with a recording I made of the frame data by using this command instead:

python websocketserver.py --playback=recording.json

You can also pass the arguments:

--playbackDelay=10 to change how long it waits before playing the recording, to give you time to load up your browswer (the default is 5 seconds).

--loop=True if it should playback the recording in an endless loop (good for playing with the javascript, or for demos.)

##Making recordings If you have a Leap Motion device and want to make your own recordings, you can run the server with this command:

python websocketserver.py --record=myRecording.json

You can also pass the argument --recordingDelay=10 if you want to change how long it waits before starting recording (the default is 5 seconds).