TimSC

#Send image data to v4l2loopback using python
#Remember to do sudo modprobe v4l2loopback first!
#Released under CC0 by Tim Sheerman-Chase, 2013

import fcntl, sys, os
from v4l2 import *
import time
import scipy.misc as misc
import numpy as np

TimSC

import struct

huffmanSegment = '\xFF\xC4\x01\xA2\x00\x00\x01\x05\x01\x01\x01\x01'\
	'\x01\x01\x00\x00\x00\x00\x00\x00\x00\x00\x01\x02'\
	'\x03\x04\x05\x06\x07\x08\x09\x0A\x0B\x01\x00\x03'\
	'\x01\x01\x01\x01\x01\x01\x01\x01\x01\x00\x00\x00'\
	'\x00\x00\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09'\
	'\x0A\x0B\x10\x00\x02\x01\x03\x03\x02\x04\x03\x05'\
	'\x05\x04\x04\x00\x00\x01\x7D\x01\x02\x03\x00\x04'\

TimSC

#Extract a small area from an OSM file
#by Tim Sheerman-Chase, 2013
#You may reuse this file under the terms of CC0
#https://creativecommons.org/publicdomain/zero/1.0/

import xml.parsers.expat as expat
import pickle, bz2
from xml.sax.saxutils import escape, quoteattr

TimSC

#Demonstration of multipart/x-mixed-replace decoding to get MJPEG frames from web server
#by Tim Sheerman-Chase 2014
#This code may be used under the terms of the CC0 license
#https://creativecommons.org/publicdomain/zero/1.0/

import pycurl

class HandleJpegData(object):
	def __init__(self):
		self.count = 0

TimSC

import struct, sys, os

#-----------------------------------------------------------
#--- Block recoverer program for bzip2                    --
#---                                      bzip2recover.py --
#-----------------------------------------------------------

#  This program is bzip2recover, a program to attempt data 
#  salvage from damaged files.

TimSC

//Reading and writing tests
//Release under CC0 by Tim Sheerman-Chase, 2014

#include <stdio.h>
#include <stdlib.h>
#include <vector>
#include <list>
#include <iostream>
#include <string>
using namespace std;

TimSC

#This script does test reads and writes to a file.
#Release under CC0 by Tim Sheerman-Chase, 2014

#This script fails on my computer but not on others. Weird.

import random, time, pickle, sys
import numpy as np

def MultiRead(handle, maxLen):
	buff = []

TimSC

import random, math

def FindPrimes(lowLimit, highLimit):
	cand = list(range(lowLimit, highLimit))
	for i in range(2,lowLimit):
		current = i * int(math.floor(lowLimit / i))
		while current < highLimit:
			if current in cand:
				cand.remove(current)

TimSC

#Recursively compare files in two folders
#by Tim Sheerman-Chase, 2014
#Released under the CC0 license

import sys, os, hashlib

def CheckFolderPair(fo1, fo2, stats):
	fiList1 = os.listdir(fo1)

	for fina in fiList1:

TimSC

void NaiveIir(const vector<float> &b, const vector<float> &a, const vector<float> &in, vector<float> &out)
{
	//IIR filtering, unoptimised
	//Call like scipy's lfilter
	//http://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.lfilter.html

	out.resize(0);
	out.resize(in.size());

	for(int i=0; i < in.size(); i++)