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naztronaut / dancyPi-audio-reactive-led

Real-time WS2812b LED strip music visualization using Python and the ESP8266 or Raspberry Pi.
https://www.easyprogramming.net/raspberrypi/audio_reactive_holiday_leds.php
MIT License
247 stars 86 forks source link
audio-reactive-lights audio-visualization dancy-pi led-controller led-strips neopixel python python3 raspberry-pi ws2812b

readme

Dancy Pi: Audio Reactive LEDs

This repo is my implementation of Scott Lawson's work. I did my best to simplify the installation process. The original Readme text can be found below my updated Readme.

This repo is designed to work with Python 3+. Python 2 is no longer supported but it may still work without (m)any changes. I haven't done an integration with ESP8266 yet but still plan to in the future.

The steps in this repo can be applied globally on your Pi or inside virtual environments like venv or conda. My tutorial does everything globally!

Demo

See the new demo at: https://www.youtube.com/watch?v=7YLF-N0596I

Join the Conversation on EasyProgramming at: https://www.easyprogramming.net/raspberrypi/audio_reactive_led.php

You can also watch the old demo at the following URL. You can see just how much time the new implementation saves: https://www.youtube.com/watch?v=vY4P0MU62X8

Tutorial

A full video tutorial can be found on YouTube at https://www.youtube.com/watch?v=7YLF-N0596I Audio Reactive LED Strip Tutorial

More information on the tutorial can be found at https://www.easyprogramming.net/raspberrypi/audio_reactive_led.php

See the old tutorial on Branch v1.0.0.

Nazberry Pi Modifications

The following assumes that you have Raspberry Pi OS installed and your Pi is up to date with sudo apt update && sudo apt upgrade.

Install Git & Clone repo

I normally start the lite version of Raspberry Pi OS without desktop and recommended software so it usually doesn't come with Git installed. So let's install it:

sudo apt install git -y

After we install git, clone this repo:

git clone https://github.com/naztronaut/dancyPi-audio-reactive-led.git

Then let's head into our install directory and continue to the next step:

cd dancyPi-audio-reactive-led/python/install

Install dependencies with install.py

In the previous version, there were MANY steps before the lights would work. I tried my best to simply this into one simple command which modifies the audio config files as needed and installs all dependencies globally. Once you are in the install directory, run this command:

sudo python3 install.py

The installation should take a few minutes (depends on your internet speed and how many of the packages need a full install). The script is very simple. It runs a bunch of sudo apt install and pip3 install commands followed by placing the asound.conf file in its proper location and modifying the alsa.conf as necessary by commenting out hardware that is not needed/used and making sure the correct audio device is used.

The script also installs the rpi_ws281x library which is used to actually turn the lights on and off. In the previous version, this install required about 8 steps on its own. Now it's done through the install script. Since it's done this way, there's no more "demo" script that you can run. I will maybe work on one later (may or may not be in another repo).

You'll still need to make some edits to fit your needs.

config.py has been edited as follows:

DEVICE = 'pi'
USE_GUI = False
DISPLAY_FPS = False
N_PIXELS = 144
MIC_RATE = 48000
FPS = 50

I'm using the standalone Raspberry Pi with a 144 LED strip. The USB Microphone that I'm using has a rate of 48000 hz. And I turned the FPS down to 50 but I was easily getting 90 FPS without issues.

I'm also using this headless so the GUI and FPS have been turned off for better performance.

visualization.py has been edited as follows:

Added the following after line 9 to allow reading command line arguments:

import sys

visualization_type = sys.argv[1]

Also added if/elif statements starting on line 256 to assign the above visualization_type variable to visualization_effect variable on line 265. This now accepts an extra command line argument which tells the script which visualization to run. The options are spectrum, energy, or scroll. To run this, simply run:

sudo python3 visualization.py scroll

You can substitute scroll for either energy or spectrumfor the other two effects.

off.py was added to the package

Contains python code to turn off all the LEDs after the off command was sent. Change the LED_COUNT if your LED count is different from 144.

Troubleshooting

Audio Device not recognized

Turn off your pi, plug your USB Mic in, then turn your Pi back on. I've noticed that sometimes, the Pi won't easily recognize a new usb device.

#2 PHP URL commands not activating visualizations

Most users should not have to do this but if you are experiencing the following error when trying to run the script via a browser:

sudo: no tty present and no askpass program specified

Add the following to your /etc/sudoers file:

www-data ALL = NOPASSWD: /usr/bin/python

Authors

License

This project is licensed under the MIT License - see the LICENSE.txt file for details

Questions ?

Have questions? You can reach me through several different channels. You can ask a question in the issues forum, on EasyProgramming.net, or on the video comments on YouTube.

Contribute

I will accept Pull requests fixing bugs or adding new features after I've vetted them. Feel free to create pull requests!

The items below were untouched from the original project by Scott Lawson

Audio Reactive LED Strip

Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi.

block diagram

overview

Demo (click gif for video)

visualizer demo

Overview

The repository includes everything needed to build an LED strip music visualizer (excluding hardware):

What do I need to make one?

Computer + ESP8266

To build a visualizer using a computer and ESP8266, you will need:

Limitations when using a computer + ESP8266:

Standalone Raspberry Pi

You can also build a standalone visualizer using a Raspberry Pi. For this you will need:

Limitations when using the Raspberry Pi:

Installation for Computer + ESP8266

Python Dependencies

Visualization code is compatible with Python 2.7 or 3.5. A few Python dependencies must also be installed:

On Windows machines, the use of Anaconda is highly recommended. Anaconda simplifies the installation of Python dependencies, which is sometimes difficult on Windows.

Installing dependencies with Anaconda

Create a conda virtual environment (this step is optional but recommended)

conda create --name visualization-env python=3.5
activate visualization-env

Install dependencies using pip and the conda package manager

conda install numpy scipy pyqtgraph
pip install pyaudio

Installing dependencies without Anaconda

The pip package manager can also be used to install the python dependencies.

pip install numpy
pip install scipy
pip install pyqtgraph
pip install pyaudio

If pip is not found try using python -m pip install instead.

Arduino dependencies

ESP8266 firmare is uploaded using the Arduino IDE. See this tutorial to setup the Arduino IDE for ESP8266.

Install NeoPixelBus library

Download Here or using library manager, search for "NeoPixelBus".

Hardware Connections

ESP8266

The ESP8266 has hardware support for I²S and this peripheral is used to control the ws2812b LED strip. This signficantly improves performance compared to bit-banging the IO pin. Unfortunately, this means that the LED strip must be connected to the RX1 pin, which is not accessible in some ESP8266 modules (such as the ESP-01).

The RX1 pin on the ESP8266 module should be connected to the data input pin of the ws2812b LED strip (often labelled DIN or D0).

For the NodeMCU v3 and Adafruit Feather HUZZAH, the location of the RX1 pin is shown in the images below. Many other modules also expose the RX1 pin.

nodemcu-pinout feather-huzzah-pinout

Raspberry Pi

Since the Raspberry Pi is a 3.3V device, the best practice is to use a logic level converter to shift the 3.3V logic to 5V logic (WS2812 LEDs use 5V logic). There is a good overview on the best practices here.

Although a logic level converter is the best practice, sometimes it will still work if you simply connect the LED strip directly to the Raspberry Pi.

You cannot power the LED strip using the Raspberry Pi GPIO pins, you need to have an external 5V power supply.

The connections are:

Setup and Configuration

  1. Install Python and Python dependencies
  2. Install Arduino IDE and ESP8266 addon
  3. Download and extract all of the files in this repository onto your computer
  4. Connect the RX1 pin of your ESP8266 module to the data input pin of the ws2812b LED strip. Ensure that your LED strip is properly connected to a 5V power supply and that the ESP8266 and LED strip share a common electrical ground connection.
  5. In ws2812_controller.ino:
    • Set const char* ssid to your router's SSID
    • Set const char* password to your router's password
    • Set IPAddress gateway to match your router's gateway
    • Set IPAddress ip to the IP address that you would like your ESP8266 to use (your choice)
    • Set #define NUM_LEDS to the number of LEDs in your LED strip
  6. Upload the ws2812_controller.ino firmware to the ESP8266. Ensure that you have selected the correct ESP8266 board from the boards menu. In the dropdown menu, set CPU Frequency to 160 MHz for optimal performance.
  7. In config.py:
    • Set N_PIXELS to the number of LEDs in your LED strip (must match NUM_LEDS in ws2812_controller.ino)
    • Set UDP_IP to the IP address of your ESP8266 (must match ip in ws2812_controller.ino)
    • If needed, set MIC_RATE to your microphone sampling rate in Hz. Most of the time you will not need to change this.

Installation for Raspberry Pi

If you encounter any problems running the visualization on a Raspberry Pi, please open a new issue. Also, please consider opening an issue if you have any questions or suggestions for improving the installation process.

Download and extract all of the files in this repository onto your pi to begin.

Installing the Python dependencies

Install python dependencies using apt-get

sudo apt-get update
sudo apt-get install python-numpy python-scipy python-pyaudio

Audio device configuration

For the Raspberry Pi, a USB audio device needs to be configured as the default audio device.

Create/edit /etc/asound.conf

sudo nano /etc/asound.conf

Set the file to the following text

pcm.!default {
    type hw
    card 1
}
ctl.!default {
    type hw
    card 1
}

Next, set the USB device to as the default device by editing /usr/share/alsa/alsa.conf

sudo nano /usr/share/alsa/alsa.conf

Change

defaults.ctl.card 0
defaults.pcm.card 0

To

defaults.ctl.card 1
defaults.pcm.card 1

Test the LED strip

  1. cd rpi_ws281x/python/examples
  2. sudo nano strandtest.py
  3. Configure the options at the top of the file. Enable logic inverting if you are using an inverting logic-level converter. Set the correct GPIO pin and number of pixels for the LED strip. You will likely need a logic-level converter to convert the Raspberry Pi's 3.3V logic to the 5V logic used by the ws2812b LED strip.
  4. Run example with 'sudo python strandtest.py'

Configure the visualization code

In config.py, set the device to 'pi' and configure the GPIO, LED and other hardware settings. If you are using an inverting logic level converter, set LED_INVERT = True in config.py. Set LED_INVERT = False if you are not using an inverting logic level converter (i.e. connecting LED strip directly to GPIO pin).

Audio Input

The visualization program streams audio from the default audio input device (set by the operating system). Windows users can change the audio input device by following these instructions.

Examples of typical audio sources:

Virtual Audio Source

You can use a "virtual audio device" to transfer audio playback from one application to another. This means that you can play music on your computer and connect the playback directly into the visualization program.

audio-input-sources

Windows

On Windows, you can use "Stereo Mix" to copy the audio output stream into the audio input. Stereo Mix is only support on certain audio chipsets. If your chipset does not support Stereo Mix, you can use a third-party application such as Voicemeeter.

show-stereomix

Go to recording devices under Windows Sound settings (Control Panel -> Sound). In the right-click menu, select "Show Disabled Devices".

enable-stereomix

Enable Stereo Mix and set it as the default device. Your audio playback should now be used as the audio input source for the visualization program. If your audio chipset does not support Stereo Mix then it will not appear in the list.

Linux

Linux users can use Jack Audio to create a virtual audio device.

OSX

On OSX, Loopback can be use to create a virtual audio device.

Running the Visualization

Once everything has been configured, run visualization.py to start the visualization. The visualization will automatically use your default recording device (microphone) as the audio input.

A PyQtGraph GUI will open to display the output of the visualization on the computer. There is a setting to enable/disable the GUI display in config.py

visualization-gui

If you encounter any issues or have questions about this project, feel free to open a new issue.

Limitations

License

This project was developed by Scott Lawson and is released under the MIT License.