ambient lighting on your desktop using neopixels!
Wanted to⭐spice up your setup?⭐ Jellyfish reacts to what's on your monitor and controls Neopixels to copy what's on it. In other words, it's ambient lighting.
It does this via Neobridge. It lets your PC to communicate to a circuitpython board. Sends RGB data and tells the board to control the Neopixels connected to the board.
Jellyfish is a DIY project. All you need is a circuitpython board, few wires, and a neopixel LED strip (i don't know if other LEDs can work, this is just from experience).
If you really wanna get things right, it is essential to have the right size LED for your desk setup. Here was my setup.
Other boards should work with serial, but they must be circuitpython.
Before you can run the jellyfish program, you'll need a circuitpython board to run Neobridge.
If you have a RPI Pico/RPI Pico W board, you can use the automated installer on windows.
If you have another board or want to do manual installation, here are the instructions:
- Download a Circuitpython 8.x/9.x .UF2 file, the library bundle and code.py.
- Flash the Circuitpython 8.x/9.x .UF2 file onto your board.
- Move
neopixel.mpy
from the bundle to\lib
. - Modify
code.py
by changing the pinout, number of pixels, and order. - Make sure it is running and will run each bootup.
- Windows 10 and up
Download jellyfish-rs.exe
into a suitable location.
./jellyfish-rs.exe [OPTIONS] --monitor <MONITOR> <N_OF_LEDS>
arguments:
-m, --monitor <MONITOR>
- Which monitor to capture from<N_OF_LEDS>
- Number of LEDS on the strip
options:
-d, --depth <DEPTH>
- How many colors to capture (less is more accurate, higher is more ambient)-r, --refresh-rate <REFRESH_RATE>
- FPS of capture-p, --port <PORT>
- Port of board
example: (30 LEDs, depth of 16, FPS set to 165)
./jellyfish-rs.exe --monitor 0 30 --depth 16 --refresh-rate 165
- Automated installation script for circuitpython.
- Contribution section.
- Detailed step-by-step tutorial with pictures.
- @porplax - Creator of the project.
See also the list of contributors who participated in this project.
screenshots
@nashaofu | Screen captureclap
@clap-rs, @Rust CLI WG, @kbknapp | Command Line- and of course rust🦀🦀🦀!!!