70 lines
2.9 KiB
Markdown
70 lines
2.9 KiB
Markdown
# audio-reactive-led-strip
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Real-time LED strip music visualization using the ESP8266 and Python
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![block diagram](images/block-diagram.png)
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![overview](images/description-cropped.gif)
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# Demo (click gif for video)
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[![visualizer demo](images/scroll-effect-demo.gif)](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 real-time 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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- 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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The following hardware is needed to build an LED strip music visualizer:
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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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- Any ESP8266 module with RX1 pin exposed. These modules are known to be compatible (but many others 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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- Any ws2812b LED strip (such as Adafruit Neopixels)
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# Installation
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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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cThis [ws2812b i2s library](https://github.com/JoDaNl/esp8266_ws2812_i2s) must be downloaded and installed in the Arduino libraries folder.
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# Setup / Getting Started
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Information coming soon. README is currently under active development.
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