nomelif

# Vaatii pip-asennukset

# sudo pip install PyAudio
# sudo pip install SpeechRecognition

import speech_recognition as sr

r = sr.Recognizer()
with sr.Microphone() as source:
    r.adjust_for_ambient_noise(source) # Kuuntelee sekunnin ja yrittää päätellä taustamelun tason

nomelif

# Blender addon sorcery

bl_info = {"name": "Audionodes", "description":"Create complex soundscapes in real time using nodes.", "author":"Roope Salmi, Théo Friberg", "version":(0,1), "blender":(2,77,0), "location":"Node Editor > Sound Icon > Add new", "warning":"Very much alpha, may blow up in your face.", "category": "Node", "tracker_url":"https://github.com/nomelif/Audionodes/issues", "wiki_url":"https://github.com/nomelif/Audionodes"}


import bpy
import numpy as np
import time
from bpy.types import NodeTree, Node, NodeSocket, NodeSocketFloat

nomelif

# Setup parameters to work in userspace

import sys
import os
import tempfile

import urllib.request
get_pip = urllib.request.urlopen("https://bootstrap.pypa.io/get-pip.py").read()

sys.argv.append("--user")

nomelif

import pygame
import numpy as np
import time


class audioServer():

    channel = None

    def __init__(self):

nomelif

from PIL import Image
import numpy as np
import random
w = h = 1024
data = np.zeros((h, w, 3), dtype=np.uint8)

parallellism = 2048

point = np.random.rand(parallellism).reshape((parallellism//2,2))

nomelif

from PIL import Image
import numpy as np
import random

from multiprocessing import Pool

def f(taajuus):
    w = (512 * np.sqrt(3))*2
    h = (512 + np.sqrt(3)*128)*2
    data = np.zeros((h, w, 3)).astype(np.float32)

nomelif

import pygame
import numpy as np



def eventGenerator(eventcode, bufferSize): # Event loop; wait while PyGame is OK, yield to the signal generator when pygame asks for signal

    # Buffer

    for chunk in range(bufferSize):

nomelif

import pyaudio
import alsaseq
import numpy as np

CHUNKSIZE = 1024*2 # fixed chunk size

# initialize portaudio

p = pyaudio.PyAudio()
stream = p.open(format=pyaudio.paInt16, channels=1, rate=44100, input=True, frames_per_buffer=CHUNKSIZE)

nomelif

# WSGI:n perus kirjasto

from wsgiref.simple_server import make_server

# Tätä funktiota kutsutaan aina, kun selain haluaa sivun
# environ: yleistä tietoutta: mitä sivua kysyttiin, millainen vempain jne jne jne
# start_response: funktio, jolla kerrotaan WSGIlle palautetun kaman tyyppi ja mahdolliset virheet

ilmoittautuneet = []

nomelif

import pyaudio
import numpy as np

FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 44100
CHUNK = 1024

audio = pyaudio.PyAudio()