一个用Python 3编写的小程序，可将LED灯条的颜色设置为Spotify在Chromecast上播放时设置的背景色。 它分析

# Colorfy A small program written in Python 3 that sets the color of your LED-strip to the background color that Spotify sets when playing on a Chromecast. It analyzes the album artwork and computes the correct background color (same as Spotify sets) in about 80 % of the cases. The program uses k-means clustering to find distinct colors in the artwork and then computes a colorfulness index as defined by [Hasler and Süsstrunk (2003)](https://infoscience.epfl.ch/record/33994/files/HaslerS03.pdf) for each of the colors. The color with the highest index is then set to the LED-strip if it is greater than or equal to a given colorfulness tolerance. ## Images ### Spotify background color <img src="images/rhcp.jpg"> <p float="center"> <img src="images/color_gradient.gif" width="481" height="271"/> <img src="images/5sos.jpg" width="409" height="271"/> </p> <img src="images/khalid.jpg"> <img src="images/falco.jpg"> ### Web app Simple web app built with Flask to easily switch between setting your LED-strip to the color based on your current Spotify playback, set manually using a color picker or if it should be turned off. <p float="center"> <img src="images/web_app_home.png" width="445" height="890"/> <img src="images/web_app_manual.png" width="445" height="890"/> </p> ## Running locally ### Connect LED-strip to Raspberry Pi Many different LED-strips can be used with this program. The only requirement is that it needs to connect with three data pins to the Raspberry Pi, i.e. one data pin for each of the color channels R, G and B. I used the [IKEA Dioder](https://www.ikea.com/us/en/catalog/categories/series/25230/) LED-strip which I connected to my Raspberry Pi 3 model B+ by following [this](https://dordnung.de/raspberrypi-ledstrip/) guide. For information about how to wire and set up WS281X leds you can refer to [this](https://tutorials-raspberrypi.com/connect-control-raspberry-pi-ws2812-rgb-led-strips/) guide but don't run the setup commands there as the required library is now installed by using `pip` rather than the manual way in the guide. You can also find the library used [here](https://github.com/jgarff/rpi_ws281x). ### Clone/download repository When the hardware is set up, you will need to [download](https://github.com/davidkrantz/Colorfy/archive/master.zip) or clone the repository, the latter can be done by typing ``` git clone https://github.com/davidkrantz/Colorfy.git ``` in your terminal. ### Create a Spotify application 1. Go to your [Spotify dashboard](https://developer.spotify.com/dashboard/applications). 2. Create a new application. 3. Press *EDIT SETTINGS* and set the redirect URI to for example `http://localhost/` and save it. ### Set environment variables These are found inside your Spotify application and are preferably added to `~/.profile` (or something similar like `~/.bash_login` or `~/.bashrc`) on your Raspberry Pi. ``` export SPOTIPY_CLIENT_ID='' export SPOTIPY_CLIENT_SECRET='' export SPOTIPY_REDIRECT_URI='' ``` ### Get refresh token 1. Run the included `spotify_setup.py` script with a string as argument. This can be any string, but preferably something your will remember (for example your Spotify username to which you wish to connect the Spotify application to) since this will make it easy to find the generated refresh token if you lose it. So for example: ``` python spotify_setup.py spotify_username ``` 2. A page will open. Accept the terms and then copy the URL you are redirected to into the terminal and hit enter. 3. Your refresh token will then be printed in the terminal. It will also be saved in a file called `.cache-{spotify_username}` inside the active directory. 4. Set the refresh token as an environment variable just as the ones before with `export SPOTIPY_REFRESH_TOKEN=''`. ### Set up config file 1. Copy and rename `config.ini.default` to `config.ini`. 2. Edit `config.ini` such that the used GPIO pins and Chromecast name matches yours, for example: ``` [GPIO PINS] red_pin = 17 green_pin = 22 blue_pin = 24 [CHROMECAST] name = Chromecast Krantz ``` To use a WS281X led strip (Neopixels) you need to set the `is_active` value in `config.ini` to `True`, the `led_count` value to the number of leds in your strip and the `led_pin` to the GPIO pin you connected the data input of your led strip to. The other values under `[WS281X]` are optional and set as default. ### Run it 1. First you will have to install the needed packages. These are listed in the `requirements.txt` file and *should* be easily installed using `pip` with ``` pip3 install -r /path/to/requirements.txt ``` **NOTE:** The Spotipy package needs to be installed directly from GitHub, otherwise an old version will be installed ``` pip3 install git+https://github.com/plamere/spotipy.git --upgrade ``` 2. Initialize `pigpiod` on your Raspberry Pi with `sudo pigpiod` 3. Run `main.py` together with some suitable arguments, for example ``` python3 main.py -k 8 -t 10 -s 100 100 ``` which will resize the album artworks to `100x100`, find `8` distinct colors and return the most colorful color if it is greater than or equal to the colorfulness tolerance `10`. If no arguments are inputted `python3 main.py`, the default values will be used. The default values are the arguments which gave me the best result with regards to accuracy and computational time, which is why I recommend using them. But feel free to experiment with these to try to improve the accuracy! ## Starting and updating on reboot The two previous steps can be automated by doing the following: 1. Run `sudo systemctl enable pigpiod` once on your Raspberry Pi. 2. Copy and rename `start.sh.default` to `start.sh`. 3. Edit `start.sh` to your liking and such that it works on your Raspberry Pi. 4. Add `@reboot . $HOME/path/to/env/var; sh /path/to/project/start.sh > /path/to/project/logs/log.txt 2>&1` to `crontab -e`. For the logging to work you will have create a directory with `mkdir logs` inside the project folder. A file called `log.txt` in `/path/to/project/logs` will then contain the logs which can be used for debugging. If you choose to run the web server, it can later be found on the address `IPTOYOURRPI:5000`.