cobanov

# !/usr/bin/python

import os
import shutil


folder_path = "/Users/cobanov/Downloads/audio_files/"
dst_folder = "destionat_path"
extension = (".mp3", ".mp4")  # has to be tuple
for root, dirs, files in os.walk(folder_path, topdown=False):

cobanov

{
  "0": "\ud83d\udc69\u200d\ud83d\udc69\u200d\ud83d\udc67\u200d\ud83d\udc67",
  "1": "\ud83d\udc69\u200d\ud83d\udc69\u200d\ud83d\udc67\u200d\ud83d\udc66",
  "2": "\ud83d\udc69\u200d\ud83d\udc69\u200d\ud83d\udc66\u200d\ud83d\udc66",
  "3": "\ud83d\udc68\u200d\ud83d\udc69\u200d\ud83d\udc67\u200d\ud83d\udc67",
  "4": "\ud83d\udc68\u200d\ud83d\udc69\u200d\ud83d\udc67\u200d\ud83d\udc66",
  "5": "\ud83d\udc68\u200d\ud83d\udc69\u200d\ud83d\udc66\u200d\ud83d\udc66",
  "6": "\ud83d\udc68\u200d\ud83d\udc68\u200d\ud83d\udc67\u200d\ud83d\udc67",
  "7": "\ud83d\udc68\u200d\ud83d\udc68\u200d\ud83d\udc67\u200d\ud83d\udc66",
  "8": "\ud83d\udc68\u200d\ud83d\udc68\u200d\ud83d\udc66\u200d\ud83d\udc66",

cobanov

import librosa
import numpy as np
from PIL import Image
import soundfile as sf


def image_to_audio(image, sr=22050, n_fft=2048, hop_length=512, top_db=80):
    """Converts spectrogram to audio.

    Args:

cobanov

import numpy as np
import cv2
import pickle
from shapely.geometry import Polygon
import matplotlib.pyplot as plt

def angle_cos(p0, p1, p2):
    d1, d2 = (p0-p1).astype('float'), (p2-p1).astype('float')
    return abs( np.dot(d1, d2) / np.sqrt( np.dot(d1, d1)*np.dot(d2, d2) ) )

cobanov

import numpy as np
import os

path = ''
files = os.listdir(path)
data = np.zeros((1, 128))
identifiers = np.full((data.shape[0]), 0)

for file in files:
    temp = np.load(path+file)

cobanov

import pandas as pd
import umap
import sys
import numpy as np
import os


def load_data(file_path, dimension=3):
    # If file path extension is numpy extension, load it as numpy array
    if file_path.endswith('.npy'):

cobanov

import numpy as np
import sys

filename = sys.argv[1]


def npy2csv(filename):
    data = np.load(filename)
    np.savetxt(filename[:-4] + ".csv", data, delimiter=",")

cobanov

import os
import pandas as pd

all_files = os.listdir()
csv_files = [i for i in all_files if i.endswith(".csv")]
print(f'Found {len(csv_files)} files.')


def merge_csv_files(csv_files):
    df = pd.DataFrame()

cobanov

import pandas as pd
import numpy as np
import sys

filename = sys.argv[1]


def csv2npz(filename):
    df = pd.read_csv(filename)
    data = df.values

cobanov

import pandas as pd
import numpy as np
import sys

# for f in rumi*.csv; do python csv2npy.py $f; done

filename = sys.argv[1]


def csv2npy(filename):