Add a requirements.txt file for new comers

.gitignore

@@ -40,3 +40,5 @@ build/Release
 .node_repl_history
 
 static/build/
+
+.idea/

requirements.txt

@@ -0,0 +1,3 @@
+numpy
+librosa
+pydub

scripts/analysis.py

@@ -34,10 +34,11 @@ def analyse(file):
     return numpy.asarray([centroid, bandwidth])
 
 
-kick_values = analyse("./ref_sounds/Kick.mp3")
-snare_values = analyse("./ref_sounds/Snare.mp3")
-hihat_values = analyse("./ref_sounds/Hihat.mp3")
-open_values = analyse("./ref_sounds/Open.mp3")
+kick_values = analyse("./ref_sounds/kick.wav")
+snare_values = analyse("./ref_sounds/snare.wav")
+hihat_values = analyse("./ref_sounds/hihat.wav")
+open_values = analyse("./ref_sounds/open.wav")
+
 
 def get_distance(test_values):
     test_values = numpy.asarray(test_values)
@@ -49,9 +50,11 @@ def get_distance(test_values):
 
 # print get_distance(snare_values)
 
+
 def process(file_name):
     return get_distance(analyse(file_name))
 
+
 if __name__ == "__main__":
     with open("./data/filenames.txt") as file_names:
         files = file_names.read().splitlines() 

scripts/split.py

@@ -12,24 +12,20 @@
 
 from pydub import AudioSegment
 import json
-import os
 import numpy
 import math
-import re
-from AudioNotebooks import config
+
 
 sounds = AudioSegment.from_wav("data/spritesheet.wav")
 
 with open('data/filenames.txt') as file_name_file:    
     file_names = file_name_file.read().split("\n")[:-1]
 
-seg_time = config.chunk_ms
 
+seg_time = 250
 num_samples = len(file_names)
 num_of_top_tags = 50
-
-
-num_chunks = config.chunks
+num_chunks = 4
 min_split_size = 150
 
 print(num_samples)
@@ -109,7 +105,7 @@ def combine_json(data_file_names, data_tags, data_coords, data_colors, data_anal
 seg_start = 0
 
 for s in range(0, len(distribution)):
-# for s in range(0, 2):
+
     print('\nchunk : ', s)
 
     file_name = file_names[seg_start : (seg_start + distribution[s])]