steveway

import time
import os
dirdl = '/home/Anon/Downloads/'
dirp = '/home/Anon/Pictures/'
dirv = '/home/Anon/Videos/'
dird = '/home/Anon/Documents/'
dirm = '/home/Anon/Music/'
dirs = [dirp, dirv, dird, dirdl, dirm]
while True:
	time.sleep(10)

steveway

# To simulate netcat: https://gist.github.com/leonjza/f35a7252babdf77c8421
# Test Cython for dithering: http://docs.cython.org/en/latest/src/tutorial/numpy.html
import numpy as np
from time import localtime, strftime, time, sleep
import cv2
import sys

use_cython = True

if use_cython:

steveway

# //====================================================
# // raw2gmv 1.0a - raw to geekmaster video transcoder
# // Copyright (C) 2012 by geekmaster, with MIT license:
# // http://www.opensource.org/licenses/mit-license.php
# //----------------------------------------------------
##include <stdio.h>  // stdin,stdout
# typedef unsigned char u8; typedef unsigned int u32;
# int main(void) {
    # u8 o,to,tb,wb0[800*600]; u32 x,y,xi,yi,c=250,b=120; // c=contrast, b=brightness
    # while (fread(wb0,800*600,1,stdin)) for (y=0;y<800;y++) { xi=y; tb=0;

steveway

import numpy as np
import cv2
import gzip
import sys, os
from time import sleep, time


def main():
    width = 600
    height = 800

steveway

import numpy as np

def apply_ordered_dither(inputarray, bayer_map, bayer_size):
    width, height = inputarray.shape
    for y in range(height):
        for x in range(width):
            inputarray[x, y] = 0 if inputarray[x, y] < bayer_map[x % bayer_size, y % bayer_size] else 255
    return inputarray

steveway

import numpy as np
cimport numpy as np
cimport cython

DTYPE = np.double
ctypedef np.double_t DTYPE_t
DTYPE2 = np.uint8
ctypedef np.uint8_t DTYPE2_t

@cython.boundscheck(False) # turn off bounds-checking for entire function

steveway

//==================================================== 
// gmplay 2.1 - geekmaster's kindle video player 
// Copyright (C) 2012 by geekmaster, with MIT license: 
// http://www.opensource.org/licenses/mit-license.php 
// Modified by Stefan Murawski ([email protected])
//---------------------------------------------------- 
// Tested on DX,DXG,K3,K4main,K4diags,K5main,K5diags. 
//---------------------------------------------------- 
#include <sys/ioctl.h>     // ioctl 
#include <sys/mman.h>     // mmap, munmap 

steveway

# -*- coding: utf-8 -*-
from PIL import Image, ImageDraw, ImageFont, ImageOps
import numpy as np
import os

width = 600
halfwidth = width/2
avatarsize = 48
height = 800
background_color = (255, 255, 255, 0)

steveway

from pybrain.structure import FeedForwardNetwork
from pybrain.structure import LinearLayer, SigmoidLayer
from pybrain.structure import FullConnection
from pybrain.rl.agents import LearningAgent
from PIL import Image, ImageDraw, ImageFont, ImageOps
import numpy as np
import copy

def mse(imageA, imageB):
    # the 'Mean Squared Error' between the two images is the

steveway

from PIL import Image, ImageDraw, ImageFont, ImageOps
import numpy as np
import random
try:
    unichr
except NameError:
    unichr = chr

def render(input_arr):
    output = input_arr