Tsarpf

UI script making most parameters of the Granulator algorithm accessible directly via the pots, encoders, and buttons - or combinations thereof.

Before running the script, make sure the granulator algorithm has already been added, and is named "Granulator"!

Pots and Encoders

• Pot1: Grain delay (=position) mean/spread
• Pot2: Grain size mean/spread
• Pot3: Pitch mean/spread
• Encoder1: Click to record, turn to change buffer size
• Encoder2: LFO speed/depth

Tsarpf

#!/bin/bash
# This script retrieves the full list of custom Slack emoji and downloads them locally.
# Prerequisites: curl and jq

# --- Configuration: update these variables ---
WORKSPACE="something.slack.com"

# Replace with your token, look at the request headers from your browser
TOKEN="xoxc-something-something-etc"
# Replace YOUR_SLACK_COOKIE_HERE with your actual cookie string from your browser session.

Tsarpf

# Based on https://www.youtube.com/watch?v=oVi9WfoA0QI and the code https://github.com/mtytel/vital/blob/c0694a193777fc97853a598f86378bea625a6d81/src/synthesis/producers/spectral_morph.h#L132-L178

#%%
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
from scipy.fft import rfft, irfft
from IPython.display import display, Audio
import sounddevice as sd

Tsarpf

perl -e 'print "file gif_or.mp4\n" x 10000' > animgif.txt
ffmpeg -f concat -i animgif.txt -i song_name.mp3 -map 0 -map 1 -c copy -shortest tikka_hommat_industrial.mp4

Tsarpf

TensorFlow Object Detection Model Training

This is a summary of this nice tutorial.

1. Install TensorFlow.
2. Download the TensorFlow models repository.

Tsarpf

import gifAnimation.*;

GifMaker gifExport;
int frames = 0;
int totalFrames = 120;

public void setup() {
  smooth();
  size(400, 400);

Tsarpf

void FrequencyFinder::Start()
{
	m_listenerThread = std::thread(&AudioListener::RecordAudioStream, m_listener, &m_sink, std::ref(m_finished));
}

Tsarpf

Shader "Tri-Planar World" {
  Properties {
		_Side("Side", 2D) = "white" {}
		_Top("Top", 2D) = "white" {}
		_Bottom("Bottom", 2D) = "white" {}
		_SideScale("Side Scale", Float) = 2
		_TopScale("Top Scale", Float) = 2
		_BottomScale ("Bottom Scale", Float) = 2
	}
	

Tsarpf

import urllib2
import threading
from Queue import Queue
import sys, os, re

class ThreadedDownload(object):
	
	REGEX = {
		'hostname_strip':re.compile('.*\..*?/', re.I)
	}