Automatic pagination of music for visually impaired musicians
As it stands, the program requires to install three types of software:
- python (and related packages)
- node.js (and related packages)
- ancillary software (for pdf conversion etc.)
We've had success using the anaconda distribution. In MacOSX, go to the anaconda download page, choose 3.6 version and install.
Once anaconda is installed, you can install the packages through the terminal. To open a terminal, type terminal in spotlight, or go to Utilities and click on Terminal.
In the terminal, type:
conda install -c conda-forge pypdf2
conda install -c conda-forge opencv
the first line install a pdf manager for python. The second, the computer vision library.
As done for python, go to the node.js donwload page and choose the macOS Installer (.pkg) in the 64 bit version. Install the package. Once node.js is installed, open the terminal and install a few extra packages that are needed by our program:
npm install express
npm install csv
npm install ejs
npm install multer
npm install uuid
Turns out, the program needs imagemagick and ghostscript. Both can be installed directly in the terminal, using HomeBrew.
First, install homebrew:
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
Then install the required software:
brew install imagemagick
brew install ghostscript
The code can be stored in any directory (e.g., /Users/jbergelson/music_auto). I am going to build a zip file with the essential code (right now it takes a long time to download)
Open a terminal and navigate to the right directory (e.g., cd music_auto/html). Then type:
node index.js testjoy/
where testjoy is the directory where you want to store your output. You should get the message:
app is listening on port 3000
Open any browser, and in the address bar put:
http://127.0.0.1:3000/
You should see the program running.
- final pdf is way too large
- parsing etc. is a bit slow
- Add Da Capo is not working