Mercurial Hosting > traffic-intelligence
annotate python/utils.py @ 29:ca8e716cc231
added moving average filter
author | Nicolas Saunier <nico@confins.net> |
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date | Sat, 30 Jan 2010 21:43:07 -0500 |
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1 #! /usr/bin/env python |
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2 ''' Generic utilities.''' |
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3 |
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4 #from numpy import * |
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5 #from pylab import * |
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6 |
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7 from moving import Point,Interval |
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8 |
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9 __metaclass__ = type |
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10 |
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11 commentChar = '#'; |
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12 |
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13 ######################### |
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14 # maths section |
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15 ######################### |
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16 |
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17 def segmentIntersection(p1, p2, p3, p4): |
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18 '''Returns the intersecting point of the segments [p1, p2] and [p3, p4], None otherwise |
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19 |
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20 >>> segmentIntersection(Point(0,0),Point(1,1), Point(0,1), Point(1,2)) |
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21 >>> segmentIntersection(Point(0,1),Point(1,0), Point(0,2), Point(2,1)) |
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22 >>> segmentIntersection(Point(0,0),Point(2,0), Point(1,-1),Point(1,1)) |
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23 (1.000000,0.000000) |
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24 >>> segmentIntersection(Point(0,1),Point(2,0),Point(1,1),Point(1,2)) |
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25 ''' |
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26 from numpy import matrix |
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27 from numpy.linalg import linalg, det |
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28 |
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29 dp1 = p2-p1#[s1[0][1]-s1[0][0], s1[1][1]-s1[1][0]] |
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30 dp2 = p4-p3#[s2[0][1]-s2[0][0], s2[1][1]-s2[1][0]] |
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31 |
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32 A = matrix([[dp1.y, -dp1.x], |
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33 [dp2.y, -dp2.x]]) |
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34 B = matrix([[dp1.y*p1.x-dp1.x*p1.y], |
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35 [dp2.y*p3.x-dp2.x*p3.y]]) |
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36 |
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37 if linalg.det(A) == 0:#crossProduct(ds1, ds2) == 0: |
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38 return None |
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39 else: |
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40 intersection = linalg.solve(A,B) |
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41 if (Interval(p1.x, p2.x, True).contains(intersection[0,0]) |
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42 and Interval(p3.x, p4.x, True).contains(intersection[0,0]) |
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43 and Interval(p1.y, p2.y, True).contains(intersection[1,0]) |
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44 and Interval(p3.y, p4.y, True).contains(intersection[1,0])): |
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45 return Point(intersection[0,0], intersection[1,0]) |
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46 else: |
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47 return None |
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48 |
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49 def crossProduct(l1, l2): |
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50 return l1[0]*l2[1]-l1[1]*l2[0] |
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51 |
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52 def filterMovingWindow(input, halfWidth): |
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53 '''Returns an array obtained after the smoothing of the input by a moving average |
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54 The first and last points are copied from the original.''' |
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55 width = float(halfWidth*2+1) |
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56 win = ones(width,'d') |
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57 result = convolve(win/width,array(inputSignal),'same') |
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58 result[:halfWidth] = inputSignal[:halfWidth] |
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59 result[-halfWidth:] = inputSignal[-halfWidth:] |
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60 return result |
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61 |
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62 ######################### |
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63 # file I/O section |
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64 ######################### |
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65 |
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66 def openCheck(filename, option = 'r', quit = False): |
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67 '''Open file filename in read mode by default |
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68 and checks it is open |
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69 |
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70 >>> f = openCheck('non_existant_file.txt') |
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71 File non_existant_file.txt could not be opened. |
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72 ''' |
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73 try: |
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74 return open(filename, option) |
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75 except IOError: |
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76 print 'File %s could not be opened.' % filename |
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77 if quit: |
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78 from sys import exit |
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79 exit() |
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80 return None |
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81 |
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82 def readline(f): |
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83 '''Modified readline function to skip comments.''' |
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84 s = f.readline() |
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85 while (len(s) > 0) and s.startswith(commentChar): |
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86 s = f.readline() |
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87 return s.strip() |
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88 |
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89 def removeExtension(filename, delimiter = '.'): |
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90 '''Returns the filename minus the extension (all characters after last .) |
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91 >>> removeExtension('test-adfasdf.asdfa.txt') |
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92 'test-adfasdf.asdfa' |
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93 >>> removeExtension('test-adfasdf') |
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94 'test-adfasdf' |
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95 ''' |
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96 i = filename.rfind(delimiter) |
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97 if i>0: |
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98 return filename[:i] |
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99 else: |
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100 return filename |
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101 |
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102 def listfiles(dirname, extension, remove = False): |
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103 '''Returns the list of files with the extension in the directory dirname |
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104 If remove is True, the filenames are stripped from the extension''' |
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105 from os import listdir |
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106 tmp = [f for f in listdir(dirname) if f.endswith(extension)] |
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107 tmp.sort() |
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108 if remove: |
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109 return [removeExtension(f, extension) for f in tmp] |
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110 else: |
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111 return tmp |
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112 |
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113 def removeFile(filename): |
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114 '''Deletes the file while avoiding raising an error |
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115 if the file does not exist''' |
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116 if (os.path.exists(filename)): |
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117 os.remove(filename) |
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118 |
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119 def invertHomography(homography): |
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120 'Returns an inverted homography' |
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121 from numpy.linalg.linalg import inv |
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122 invH = inv(homography) |
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123 invH /= invH[2,2] |
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124 return invH |
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125 |
19 | 126 def plotPolygon(poly, options = ''): |
127 from numpy.core.multiarray import array | |
128 from matplotlib.pyplot import plot | |
129 from shapely.geometry import Polygon | |
130 | |
131 tmp = array(poly.exterior) | |
132 plot(tmp[:,0], tmp[:,1], options) | |
133 | |
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134 if __name__ == "__main__": |
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135 import doctest |
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136 import unittest |
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137 #suite = doctest.DocFileSuite('tests/ubc_utils.txt') |
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138 suite = doctest.DocTestSuite() |
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139 unittest.TextTestRunner().run(suite) |
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140 #doctest.testmod() |
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141 #doctest.testfile("example.txt") |