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All Projects → pageauc → sonic-track

pageauc / sonic-track

Licence: other
Uses a raspberry pi camera or web cam and python opencv to track motion in camera view. Sends motion contour data to sonic-pi via osc interface to produce and control notes/sample. Includes ability to use onscreen menu areas to change synthesizer, octaves Etc.

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raspberry-piopencvrpisonic-piyoutube-videosoundspeakermotion-trackingpi-cameraopencv3motion-to-soundyoutube-sonic-trackmotion-datapsonichtmi

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Raspberry Pi sonic-track.py a Sonic-pi Motion Track Demo

Real Time Camera Motion Tracking of contour x,y,w,h values and generates sounds via sonic-pi.

Uses pi-camera or webcam, python3, Opencv3, python-sonic, pythonosc, sonic-pi, powered speaker or HDMI TV

NEW Release 0.91 Adds drums and restructures code and variables and adds option for zone grid lines on GUI

ver 0.95 of setup.sh purges previous sonic-pi and installs latest https://sonic-pi.net/files/releases/v3.3.1/sonic-pi_3.3.1_1_armhf.deb

YouTube Air Drum Demo https://youtu.be/PSrzbeVX8DE

YouTube Air Note Demo https://youtu.be/dC26PUYYR5E

YouTube Motion Activated Menus https://youtu.be/PQjpskPAtR0

YouTube sonic-track.py Intro https://youtu.be/RCIUlv431E0

Introduction

This demo app sends camera movement tracking data to sonic-pi music program. sonic-track sends data to sonic-pi via psonic.py and pythonosc. You will need a pi camera and a powered speaker connected to the Raspberry Pi audio/video plug via appropriate cables or you can attach RPI to an HDMI TV via HDMI cable and sound will redirect to TV speakers. I thought it would be interesting to point the camera at a fish tank or other source of video movement to see what sounds are generated. You can also stand in front of the camera and generate sounds via body movements.

This program demo is a very basic setup but more elaborate sonic-pi sound generation algorithms are possible.

How to Install

Quick Install

Easy Install of sonic-track onto a Raspberry Pi Computer with latest Raspbian. This is a whiptail menu system that allows install of opencv3 if required

curl -L https://raw.github.com/pageauc/sonic-track/master/setup.sh | bash

From a computer logged into the RPI via ssh (Putty) session use mouse to highlight command above, right click, copy.
Then select ssh(Putty) window, mouse right click, paste. The command should download and execute the sonic-track github setup.sh script and install sonic-track files and set permissions.
This install can also be done directly on an Internet connected Raspberry Pi via a console or desktop terminal session and web browser.
Note - A raspbian apt-get update and upgrade will be performed as part of install so it may take some time if these are not up-to-date.

Manual Install

From logged in RPI SSH session or console terminal perform the following.

wget https://raw.github.com/pageauc/sonic-track/master/setup.sh
chmod +x setup.sh
./setup.sh

Opencv3 Install (if required)

sonic-track.py requires opencv3 to be installed on the latest RPI disto. I have written a menu driven install script on my GitHub repo here https://github.com/pageauc/opencv3-setup. Use this if you do not have opencv3 already installed. cv3-setup.sh is a whiptail menu that can walk you through installing opencv from source. The menu system can select opencv version, installs dependencies, downloads source, perform cmake, run compile perform make install of selected opencv version.
For more details See github Readme.md

How to Run

Default is SSH or Terminal console only display. Make sure pixel desktop is enabled and logged in. This can be done from raspi-config setting. This is required for the sonic-track.sh to start sonic-pi on the desktop from an ssh only session.

Use Nano to Edit config.py variable settings. Select PiCamera or USB web camera depending on what you have installed or want to use. If images are oriented wrong then set camera hflip, vflip as appropriate.

Customize the synthPicks by entering comma delimited number entries from the synthList above. The synth numbers can be arranged in any order. This list is used to to switch synth when motion is detected in the hotspot area (usually top/left corner) The noteOctavePicks can also be customized from the list of octaveList above. You may also want to look at notesSleepOnList Entries, notesSleepVarOn, Etc. See other variables and comments for additional variable customization settings.

To Run sonic-track from SSH session, console or GUI desktop terminal session execute the following commands. Make sure a speaker is connected to the pi before starting.

cd ~/sonic-track
./sonic-track.sh

GUI RPI Desktop Display Video

With a display, keyboard and mouse attached to the RPI, Login to the Pixel Desktop

Use desktop menu to open a terminal session. Use nano to set the following config.py variable then ctrl-x y to save change(s)

cd ~/sonic-track
nano config.py

edit the following setting the ctrl-x y to save

windowOn = True

You can either start sonic-pi from the desktop then in the terminal window start sonic-track.py

or from the desktop terminal session run

./sonic-track.sh

Change Settings

Edit the config.py file and set variables as per comments

cd ~./sonic-track
nano config.py

The notePlayOn=True will turn on notes and drumPlayOn=True will turn on drum session or you can select both if you are daring. I recommend just one at a time to begin with. sonic-track.py uses motion contour center and width and height eg x, y, h, w motion data. These values are used to generate notes and or drums and can also change sleep value if enambled. Sound values are send to sonic-pi interface to create sounds. Sounds can be modified using synth settings per config.py synthPicks. The reference numbers are from the synthList and the synthPicks list can contain any number of values separated by commas and arranged in any order. These can be changed when sonic-track.sh is running my creating movement in the hotspot area (default is top left corner 1/5 of the screen height and width. There are several template config.py files to assist in setting up multiple configurations. These can be copied over the original config.py. You can also save custom configurations to any filename then copy over the config.py file to use it. You may want to keep a backup copy of any config.py files that will be overwritten

For more information about psonic see https://github.com/gkvoelkl/python-sonic
and midi values see http://www.electronics.dit.ie/staff/tscarff/Music_technology/midi/midi_note_numbers_for_octaves.htm

To change how the notes algorithm works you would need to change sonic-track.py programing. This will require reprogramming how notes are generated via x,y,w,h values.

cd ~./sonic-track
nano sonic-track.py

Prerequisites

  • Recommend a quad core Raspberry Pi computer running with an up-to-date Raspbian Jessie distro
  • RPI camera module or USB Web Cam installed/connected configured and tested to work.
  • Dependencies will be installed via setup.sh depending on your previous installs.
  • opencv3 is required and can be installed via cv3-setup.sh on menubox.sh menu pick (if required)
  • sonic-pi is installed as part of the Jessie full install distro (not Lite)
  • An HDMI TV connected to HDMI port on RPI or a Powered speaker including cable between RPI 3.5 mm audio/video plug and speaker

Speaker 3.5mm audio/video jack similar to these cables https://www.adafruit.com/product/2881 or https://www.amazon.com/Parts-Express-3-5mm-Plug-Cable/dp/B0007V6JCK
these are also available from other vendors. Just google 3.5mm audio/video jack

sonic-track.py - Basic concept of tracking moving objects

This Demo program detects motion in the field of view using opencv3 commands and returns movement contours above a minimum size and returns the x,y,h,w of the movement contours. These values are then sent to sonic-pi via psonic.py and pythonosc. sonic-track.sh can run in a SSH terminal session only. The sonic-pi gui will be launched via xauth display commands. Make sure the Raspberry Pi Jessie OS pixel GUI desktop is running. This demo needs to run on a quad core raspberry pi with the latest Jessie build installed.

Some ideas I would like to work on

  • Air drum eg bongo drum feature activated by body movement (release 0.90 Added air drums)
  • Simon type sound motion game to try to repeat a series of notes using body movement ( see hotspot game https://github.com/pageauc/hotspot-game )
  • Implement bird call type game to use motion tracking to pick the bird associated with a sound from an on screen image of different birds. I have a poke-pi demo that allows displaying images on screen (not published) it allows for interactively taking an image of a toy or object then you can use the small icon in the motion tracking environment to do something. I was visualizing something like pokemon
  • Same as birds idea above but for any animals Eg farmyard or wild animals.
  • Control a device and give audio feed back. Eg higher sound for higher settings.
  • Save motion notes to a csv file or other data format
  • Read from a video file and generate notes based on motion tracking
  • Read csv file and replay previous notes or read from another data file and convert to note ranges required for input
  • Create alternate configuration settings via separate config.py files. This would allow changing how notes are generated. (partly done for drums and notes)
  • Setup a method to easily change synth settings (implemented pickList)

Credits

Some of this code is based on a YouTube tutorial by Kyle Hounslow using C here https://www.youtube.com/watch?v=X6rPdRZzgjg

Thanks to Adrian Rosebrock jrosebr1 at http://www.pyimagesearch.com for the PiVideoStream Class code available on github at https://github.com/jrosebr1/imutils/blob/master/imutils/video/pivideostream.py

---------- Other Raspberry Pi Projects Based on Motion Tracking ------------

speed-camera.py - Object (vehicle) speed camera based on motion tracking

Tracks vehicle speeds or other moving objects in real time and records image and logs data. Now improved using threading for video stream and clipping of area of interest for greater performance.

cam-track.py - Tracks camera x y movements

Uses a clipped search image rectangle to search subsequent video stream images and returns the location. Can be used for tracking camera x y movements for stabilization, robotics, Etc.

hotspot-game.py - A simple motion tracking game

The game play involves using streaming video of body motion to get as many hits as possible inside shrinking boxes that randomly move around the screen. Position the camera so you can see body motions either close or standing. Pretty simple but I think kids would have fun with it and they just might take a look at the code to see how it works, change variables or game logic.

----------------------------------------------------------------------------

Have Fun
Claude Pageau
YouTube Channel https://www.youtube.com/user/pageaucp
GitHub Repo https://github.com/pageauc

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