1. Crawling data set

clone crawler repository

install scrapy

name of spider && domain

Run Crawler

Before running crawler check your path if you want save in some specific folder you should run command inside folder like '/drumData'

2. Clone repository

cloning main python repository

3. Normalize data set

run jupyter. we use anaconda to launch jupyter easily if you do not use anaconda just run jupyter

enter to path that you clone Musicanlyzer repo and you can see '.ipynb' file in jupter folder

run compressionMp3.ipynb it will compress data set of kick wich you crawled and generate average.wav. you will use average.wav to compare at next stage.
running result like this

4. Compare your mp3

you can set audio_path which you want to compare

you can also change threshold if it is bigger program compare more generoulsy

on jupyer run cmpAverage.ipynb and result like this. it show expected point(second)s array

1. Install sbt

command depends on your OS in my case Mac

2. Run sbt

at the first running it takes time around 30~60min depends on your environment

3. Run python server

your python version should more than 3. we suggest 3.5 or you can run python with anaconda virtual env
in progress you may need some python package you can install with command 'pip install {pkagename}

4. Test localhost

you can test comparing mp3 on localhost enter url like this.

choose mp3 what you want to compare and send request to python server. and after getting result it shows graph with y means time of drum(kick)