Gurkengewuerz/audio-reactive-led-strip
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Added more setup information to README

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Scott Lawson 2016-12-27 21:34:09 -07:00
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README.md
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@ -83,15 +83,15 @@ For the NodeMCU v3 and Adafruit Feather HUZZAH, the location of the RX1 pin is s
- Set `IPAddress gateway` to match your router's gateway - 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 `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 - Set `#define NUM_LEDS` to the number of LEDs in your LED strip
5. In [config.py](python/config.py): 5. 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.
6. In [config.py](python/config.py):
- 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)) - 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))
- Set `UDP_IP` to the IP address of your ESP8266 (must match `ip` in [ws2812_controller.ino](arduino/ws2812_controller/ws2812_controller.ino)) - Set `UDP_IP` to the IP address of your ESP8266 (must match `ip` in [ws2812_controller.ino](arduino/ws2812_controller/ws2812_controller.ino))
- If needed, set `MIC_RATE` to your microphone sampling rate in Hz - If needed, set `MIC_RATE` to your microphone sampling rate in Hz. Most of the time you will not need to change this.
# Running the Visualization # Running the Visualization
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. 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.
A PyQtGraph GUI will open to display the output of the visualization on the computer. A PyQtGraph GUI will open to display the output of the visualization on the computer.
If you encounter any issues or have questions about this project, feel free to open a new issue. If you encounter any issues or have questions about this project, feel free to open a new issue.