crackwitz

#!/usr/bin/env python3

import os
import sys
import numpy as np
import cv2

if __name__ == '__main__':
	def predicate(pixel):
		B, G, R = pixel

crackwitz

#!/usr/bin/env python3

'''
based on the MOSSE tracking example from OpenCV

[1] David S. Bolme et al. "Visual Object Tracking using Adaptive Correlation Filters"
    http://www.cs.colostate.edu/~bolme/publications/Bolme2010Tracking.pdf
'''

import numpy as np

crackwitz

#!/usr/bin/env python3

import cv2
cv = cv2
assert cv2.__version__[0] >= '3', 'The fisheye module requires opencv version >= 3.0.0'
import numpy as np
np.set_printoptions(precision=4, linewidth=120)
import os
import glob
CHECKERBOARD = (6,9)

crackwitz

{
 "bL9QycV.jpg": [
  [
   [
    1547.485107421875,
    485.5238342285156
   ]
  ],
  [
   [

crackwitz

// ==UserScript==
// @name         Qt docs unsucked
// @match        http://doc.qt.io/qt-5/*
// @grant        none
// ==/UserScript==

(function() {
    'use strict';

    $("head").append('<style type="text/css"></style>');

crackwitz

crackwitz

crackwitz

#!/usr/bin/env python3
import os
import sys
import time
from itertools import *
import pprint; pp = pprint.pprint

def inclusive_range(smallest, largest, step):
	N = 1 + int(round((largest - smallest) / step))
	return [smallest + k*step for k in range(N)]

crackwitz

#!/usr/bin/env python3

'''
always getting the most recent frame of a camera
================================================

Usage:
------
    freshest_camera_frame.py

crackwitz

#!/usr/bin/env python3
import os
import sys
import time
import numpy as np
import cv2 as cv
import threading

# also acts (partly) like a cv.VideoCapture
class FreshestFrame(threading.Thread):