188 lines
9.0 KiB
Markdown
188 lines
9.0 KiB
Markdown
# audio-reactive-led-strip
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Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi.
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# Demo (click gif for video)
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[](https://www.youtube.com/watch?v=HNtM7jH5GXgD)
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# Overview
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The repository includes everything needed to build an LED strip music visualizer (excluding hardware):
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- Python visualization code, which includes code for:
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- Recording audio with a microphone ([microphone.py](python/microphone.py))
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- Digital signal processing ([dsp.py](python/dsp.py))
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- Constructing 1D visualizations ([visualization.py](python/visualization.py))
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- Sending pixel information to the ESP8266 over WiFi ([led.py](python/led.py))
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- Configuration and settings ([config.py](python/config.py))
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- Arduino firmware for the ESP8266 ([ws2812_controller.ino](arduino/ws2812_controller/ws2812_controller.ino))
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# What do I need to make one?
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## Computer + ESP8266
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To build a visualizer using a computer and ESP8266, you will need:
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- Computer with Python 2.7 or 3.5 ([Anaconda](https://www.continuum.io/downloads) is recommended on Windows)
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- ESP8266 module with RX1 pin exposed. These modules can be purchased for as little as $5 USD. These modules are known to be compatible, but many others will work too:
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- NodeMCU v3
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- Adafruit HUZZAH
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- Adafruit Feather HUZZAH
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- WS2812B LED strip (such as Adafruit Neopixels). These can be purchased for as little as $5-15 USD per meter.
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Limitations when using a computer + ESP8266:
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- The communication protocol between the computer and ESP8266 currently supports a maximum of 256 LEDs.
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## Standalone Raspberry Pi
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You can also build a standalone visualizer using a Raspberry Pi. For this you will need:
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- Raspberry Pi (1, 2, or 3)
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- USB audio input device. This could be a USB microphone or a sound card. You just need to find some way of giving the Raspberry Pi audio input.
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- WS2812B LED strip (such as Adafruit Neopixels)
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Limitations when using the Raspberry Pi:
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- Raspberry Pi is just fast enough the run the visualization, but it is too slow to run the GUI window as well. It is recommended that you disable the GUI when running the code on the Raspberry Pi.
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- The ESP8266 uses a technique called temporal dithering to improve the color depth of the LED strip. Unfortunately the Raspberry Pi lacks this capability.
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# Installation for Computer + ESP8266
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## Python Dependencies
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Visualization code is compatible with Python 2.7 or 3.5. A few Python dependencies must also be installed:
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- Numpy
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- Scipy (for digital signal processing)
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- PyQtGraph (for GUI visualization)
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- PyAudio (for recording audio with microphone)
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On Windows machines, the use of [Anaconda](https://www.continuum.io/downloads) is **highly recommended**. Anaconda simplifies the installation of Python dependencies, which is sometimes difficult on Windows.
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### Installing dependencies with Anaconda
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Create a [conda virtual environment](http://conda.pydata.org/docs/using/envs.html) (this step is optional but recommended)
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```
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conda create --name visualization-env python=3.5
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activate visualization-env
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```
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Install dependencies using pip and the conda package manager
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```
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conda install numpy scipy pyqtgraph
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pip install pyaudio
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```
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### Installing dependencies without Anaconda
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The pip package manager can also be used to install the python dependencies.
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```
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pip install numpy
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pip install scipy
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pip install pyqtgraph
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pip install pyaudio
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```
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If `pip` is not found try using `python -m pip install` instead.
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## Arduino dependencies
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ESP8266 firmare is uploaded using the Arduino IDE. See [this tutorial](https://learn.sparkfun.com/tutorials/esp8266-thing-hookup-guide/installing-the-esp8266-arduino-addon) to setup the Arduino IDE for ESP8266.
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<!-- This [ws2812b i2s library](https://github.com/JoDaNl/esp8266_ws2812_i2s) must be downloaded and installed in the Arduino libraries folder.
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-->
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## Hardware Connections
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The ESP8266 has hardware support for [I²S](https://en.wikipedia.org/wiki/I%C2%B2S) and this peripheral is used <!-- by the [ws2812b i2s library](https://github.com/JoDaNl/esp8266_ws2812_i2s) -->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).
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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).
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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.
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# Setup and Configuration
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1. Install Python and Python dependencies
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2. [Install Arduino IDE and ESP8266 addon](https://learn.sparkfun.com/tutorials/esp8266-thing-hookup-guide/installing-the-esp8266-arduino-addon)
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3. Download and extract all of the files in this repository onto your computer
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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.
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5. In [ws2812_controller.ino](arduino/ws2812_controller/ws2812_controller.ino):
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- Set `const char* ssid` to your router's SSID
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- Set `const char* password` to your router's password
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- Set `IPAddress gateway` to match your router's gateway
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- Set `IPAddress ip` to the IP address that you would like your ESP8266 to use (your choice)
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- Set `#define NUM_LEDS` to the number of LEDs in your LED strip
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6. Upload the [ws2812_controller.ino](arduino/ws2812_controller/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.
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7. In [config.py](python/config.py):
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- Set `N_PIXELS` to the number of LEDs in your LED strip (must match `NUM_LEDS` in [ws2812_controller.ino](arduino/ws2812_controller/ws2812_controller.ino))
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- Set `UDP_IP` to the IP address of your ESP8266 (must match `ip` in [ws2812_controller.ino](arduino/ws2812_controller/ws2812_controller.ino))
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- If needed, set `MIC_RATE` to your microphone sampling rate in Hz. Most of the time you will not need to change this.
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# Installation for Raspberry Pi
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If you encounter any problems running the visualization on a Raspberry Pi, please [open a new issue](https://github.com/scottlawsonbc/audio-reactive-led-strip/issues).
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## Installing the Python dependencies
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Install python dependencies using apt-get
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```
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sudo apt-get update
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sudo apt-get install python-numpy python-scipy python-pyaudio
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```
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## Install ws281x library
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To install the ws281x library I recommend following this [Adafruit tutorial](https://learn.adafruit.com/neopixels-on-raspberry-pi/software).
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```
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sudo apt-get install build-essential python-dev git scons swig
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git clone https://github.com/jgarff/rpi_ws281x.git
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cd rpi_ws281x
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scons
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cd python
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sudo python setup.py install
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```
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## Audio device configuration
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For the Raspberry Pi, a USB audio device needs to be configured as the default audio device.
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Create/edit `/etc/asound.conf`
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```
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sudo nano /etc/asound.conf
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```
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Set the file to the following text
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```
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pcm.!default {
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type hw
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card 1
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}
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ctl.!default {
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type hw
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card 1
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}
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```
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Next, set the USB device to as the default device by editing `/usr/share/alsa/alsa.conf`
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```
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sudo nano /usr/share/alsa/alsa.conf:
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```
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Change
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```
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defaults.ctl.card 0
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defaults.pcm.card 0
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```
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To
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```
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defaults.ctl.card 1
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defaults.pcm.card 1
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```
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## Test the LED strip
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1. cd rpi_ws281x/python/examples
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2. sudo nano strandtest.py
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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.
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4. Run example with 'sudo python strandtest.py'
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## Configure the visualization code
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In `config.py`, set the device to `'pi'` and configure the GPIO, LED and other hardware settings.
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# Running the Visualization
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Once everything has been configured, run [visualization.py](python/visualization.py) to start the visualization. The visualization will automatically use your default recording device (microphone) as the audio input.
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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](python/config.py)
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If you encounter any issues or have questions about this project, feel free to [open a new issue](https://github.com/scottlawsonbc/audio-reactive-led-strip/issues).
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# Limitations
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The visualization code currently supports up to 256 LEDs. Support for additional LEDs will be added in the near future.
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# License
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All code in this project is released under the MIT License.
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