Merge branch 'master' of http://khuhub.khu.ac.kr/2020-1-capstone-design2/2014104094

@@ -57,6 +57,7 @@ while True:
         
         stack = np.hstack(frames)
         librosa.display.specshow(stack, fmax=4000)
+        # LOADED AT 'DB FOLDER' WHERE SPECTROGRAM IMAGE IS
         plt.savefig('your save path' + '.jpg', dpi=300)
         prediction = model.predict([prepare('path where your image is')])
         print(CATEGORES[int(prediction[0][0])])

-'''
-https://m.blog.naver.com/PostView.nhn?blogId=jiwon6928&logNo=221185628702&proxyReferer=https:%2F%2Fwww.google.com%2F
-'''
-
 from PIL import Image, ImageDraw
 import hcluster
 import numpy as np

-'''
-https://m.blog.naver.com/PostView.nhn?blogId=jiwon6928&logNo=221185628702&proxyReferer=https:%2F%2Fwww.google.com%2F
-'''
-
-
 from itertools import combinations
 import numpy as np
 import math