cobanov

from vispy.visuals.transforms import STTransform
from vispy.scene import visuals
from vispy import scene
import vispy

from math import ceil
import pandas as pd
import numpy as np
import imageio
import os

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