CV之FR：DIY脚本通过人脸图像得到人脸特征向量并输出多张人脸图片之两两图片之间的距离
【摘要】 CV之FR：DIY脚本通过人脸图像得到人脸特征向量并输出多张人脸图片之两两图片之间的距离
目录
输出结果
设计思路
实现代码
计算过程
输出结果
设计思路
实现代码
from scipy import miscimport tensorflow as tfimport nu...
CV之FR：DIY脚本通过人脸图像得到人脸特征向量并输出多张人脸图片之两两图片之间的距离
目录
输出结果
设计思路
实现代码
from scipy import misc
import tensorflow as tf
import numpy as np
import sys
import os
import argparse
……
计算过程
prewhitened参数是 [[[ 0.12834621 0.69292342 0.78113861]
[ 0.12834621 0.69292342 0.78113861]
[ 0.12834621 0.67528038 0.78113861]
...
[-1.77710188 -1.77710188 -1.61831454]
[-1.63595757 -1.65360061 -1.44188416]
[-1.33602593 -1.35366897 -1.12430948]]
[[ 0.25184747 0.74585253 0.93992595]
[ 0.25184747 0.74585253 0.93992595]
[ 0.28713355 0.74585253 0.93992595]
...
[-1.77710188 -1.79474492 -1.65360061]
[-1.75945884 -1.79474492 -1.56538542]
[-1.63595757 -1.67124365 -1.40659808]]
[[ 0.28713355 0.78113861 0.97521202]
[ 0.32241962 0.79878165 0.99285506]
[ 0.3577057 0.81642468 1.0104981 ]
...
[-1.77710188 -1.79474492 -1.65360061]
[-1.77710188 -1.81238795 -1.6006715 ]
[-1.79474492 -1.81238795 -1.6006715 ]]
...
[[-0.66559049 -0.41858796 0.07541709]
[-0.55973227 -0.31272974 0.16363228]
[-0.5773753 -0.33037278 0.18127532]
...
[-0.10101328 0.16363228 0.76349557]
[-0.13629936 0.14598925 0.74585253]
[-0.25980062 0.05777406 0.65763734]]
[[-0.82437783 -0.5773753 -0.10101328]
[-0.66559049 -0.41858796 0.05777406]
[-0.59501834 -0.34801581 0.16363228]
...
[-0.13629936 0.09306013 0.71056646]
[-0.1539424 0.11070317 0.72820949]
[-0.1539424 0.18127532 0.76349557]]
[[-0.96552214 -0.71851961 -0.24215759]
[-0.77144872 -0.52444619 -0.04808417]
[-0.64794746 -0.40094493 0.11070317]
...
[-0.18922847 0.05777406 0.67528038]
[-0.22451455 0.04013102 0.65763734]
[-0.1539424 0.18127532 0.76349557]]]
prewhitened参数是 [[[-0.41843267 0.01911131 0.37196935]
[-0.41843267 0.00499698 0.35785503]
[-0.39020402 0.01911131 0.35785503]
...
[-0.39020402 0.04733995 0.32962638]
[-0.43254699 0.00499698 0.30139774]
[-0.44666131 -0.00911734 0.28728342]]
[[-0.40431834 0.00499698 0.3437407 ]
[-0.39020402 0.01911131 0.35785503]
[-0.36197538 0.01911131 0.3437407 ]
...
[-0.41843267 0.01911131 0.30139774]
[-0.44666131 -0.00911734 0.28728342]
[-0.44666131 -0.00911734 0.28728342]]
[[-0.40431834 0.00499698 0.32962638]
[-0.41843267 -0.02323166 0.30139774]
[-0.33374674 0.04733995 0.37196935]
...
[-0.41843267 0.01911131 0.30139774]
[-0.44666131 -0.00911734 0.28728342]
[-0.46077563 -0.02323166 0.2731691 ]]
...
[[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
...
[-1.60403568 -1.44877815 -1.19472036]
[-1.64637865 -1.47700679 -1.25117764]
[-1.67460729 -1.50523543 -1.27940629]]
[[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
...
[-1.60403568 -1.44877815 -1.19472036]
[-1.61815001 -1.44877815 -1.222949 ]
[-1.66049297 -1.49112111 -1.26529196]]
[[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
...
[-1.60403568 -1.44877815 -1.19472036]
[-1.58992136 -1.4205495 -1.19472036]
[-1.64637865 -1.47700679 -1.25117764]]]
prewhitened参数是 [[[-0.68576058 -0.65851282 -0.6721367 ]
[-1.21709198 -1.18984422 -1.2034681 ]
[-0.94461434 -0.91736658 -0.93099046]
...
[-1.5849368 -1.5031935 -1.5849368 ]
[-1.14897257 -1.06722928 -1.18984422]
[-1.0536054 -0.95823822 -1.09447704]]
[[-1.08085316 -1.06722928 -1.08085316]
[-1.36695468 -1.3533308 -1.36695468]
[-1.5031935 -1.48956962 -1.5031935 ]
...
[-1.39420245 -1.33970692 -1.39420245]
[-1.42145021 -1.3533308 -1.44869798]
[-1.38057857 -1.28521139 -1.40782633]]
[[-0.98548599 -0.98548599 -1.01273375]
[-1.06722928 -1.06722928 -1.09447704]
[-1.25796363 -1.25796363 -1.28521139]
...
[-1.18984422 -1.18984422 -1.21709198]
[-1.02635763 -1.02635763 -1.06722928]
[-1.31245916 -1.29883527 -1.36695468]]
...
[[ 1.2215829 1.24883066 1.23520678]
[ 1.23520678 1.26245454 1.24883066]
[ 1.23520678 1.26245454 1.24883066]
...
[ 0.43139774 0.44502162 0.49951715]
[ 0.41777386 0.43139774 0.48589327]
[ 0.43139774 0.44502162 0.49951715]]
[[ 1.23520678 1.26245454 1.24883066]
[ 1.2215829 1.24883066 1.23520678]
[ 1.20795901 1.23520678 1.2215829 ]
...
[ 0.48589327 0.49951715 0.55401268]
[ 0.47226939 0.48589327 0.5403888 ]
[ 0.47226939 0.48589327 0.5403888 ]]
[[ 1.19433513 1.2215829 1.20795901]
[ 1.16708737 1.19433513 1.18071125]
[ 1.15346349 1.18071125 1.16708737]
...
[ 0.67662762 0.6902515 0.74474703]
[ 0.70387538 0.71749926 0.77199479]
[ 0.73112314 0.74474703 0.79924255]]]
prewhitened参数是 [[[-1.35183598 -1.45036667 -1.43805033]
[-1.32720331 -1.38878499 -1.38878499]
[-1.35183598 -1.425734 -1.425734 ]
...
[ 1.43165578 1.41933944 1.46860478]
[ 1.44397211 1.41933944 1.46860478]
[ 1.45628845 1.40702311 1.45628845]]
[[-1.52426468 -1.56121368 -1.54889735]
[-1.56121368 -1.59816269 -1.58584635]
[-1.51194834 -1.54889735 -1.53658101]
...
[ 1.40702311 1.38239044 1.43165578]
[ 1.41933944 1.39470677 1.44397211]
[ 1.43165578 1.39470677 1.45628845]]
[[-1.57353002 -1.59816269 -1.58584635]
[-1.57353002 -1.59816269 -1.58584635]
[-1.52426468 -1.54889735 -1.53658101]
...
[ 1.41933944 1.39470677 1.45628845]
[ 1.40702311 1.3700741 1.44397211]
[ 1.44397211 1.41933944 1.46860478]]
...
[[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
...
[-0.71138655 -0.77296823 -0.69907022]
[-0.77296823 -0.8345499 -0.76065189]
[-0.8345499 -0.89613158 -0.82223357]]
[[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
...
[-0.88381524 -0.94539692 -0.87149891]
[-0.95771326 -1.01929493 -0.94539692]
[-0.36652917 -0.42811084 -0.35421283]]
[[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
...
[-0.8345499 -0.92076425 -0.8345499 ]
[-0.48969252 -0.57590686 -0.48969252]
[-0.00935544 -0.09556979 -0.00935544]]]
images参数 [[[[ 0.12834621 0.69292342 0.78113861]
[ 0.12834621 0.69292342 0.78113861]
[ 0.12834621 0.67528038 0.78113861]
...
[-1.77710188 -1.77710188 -1.61831454]
[-1.63595757 -1.65360061 -1.44188416]
[-1.33602593 -1.35366897 -1.12430948]]
[[ 0.25184747 0.74585253 0.93992595]
[ 0.25184747 0.74585253 0.93992595]
[ 0.28713355 0.74585253 0.93992595]
...
[-1.77710188 -1.79474492 -1.65360061]
[-1.75945884 -1.79474492 -1.56538542]
[-1.63595757 -1.67124365 -1.40659808]]
[[ 0.28713355 0.78113861 0.97521202]
[ 0.32241962 0.79878165 0.99285506]
[ 0.3577057 0.81642468 1.0104981 ]
...
[-1.77710188 -1.79474492 -1.65360061]
[-1.77710188 -1.81238795 -1.6006715 ]
[-1.79474492 -1.81238795 -1.6006715 ]]
...
[[-0.66559049 -0.41858796 0.07541709]
[-0.55973227 -0.31272974 0.16363228]
[-0.5773753 -0.33037278 0.18127532]
...
[-0.10101328 0.16363228 0.76349557]
[-0.13629936 0.14598925 0.74585253]
[-0.25980062 0.05777406 0.65763734]]
[[-0.82437783 -0.5773753 -0.10101328]
[-0.66559049 -0.41858796 0.05777406]
[-0.59501834 -0.34801581 0.16363228]
...
[-0.13629936 0.09306013 0.71056646]
[-0.1539424 0.11070317 0.72820949]
[-0.1539424 0.18127532 0.76349557]]
[[-0.96552214 -0.71851961 -0.24215759]
[-0.77144872 -0.52444619 -0.04808417]
[-0.64794746 -0.40094493 0.11070317]
...
[-0.18922847 0.05777406 0.67528038]
[-0.22451455 0.04013102 0.65763734]
[-0.1539424 0.18127532 0.76349557]]]
[[[-0.41843267 0.01911131 0.37196935]
[-0.41843267 0.00499698 0.35785503]
[-0.39020402 0.01911131 0.35785503]
...
[-0.39020402 0.04733995 0.32962638]
[-0.43254699 0.00499698 0.30139774]
[-0.44666131 -0.00911734 0.28728342]]
[[-0.40431834 0.00499698 0.3437407 ]
[-0.39020402 0.01911131 0.35785503]
[-0.36197538 0.01911131 0.3437407 ]
...
[-0.41843267 0.01911131 0.30139774]
[-0.44666131 -0.00911734 0.28728342]
[-0.44666131 -0.00911734 0.28728342]]
[[-0.40431834 0.00499698 0.32962638]
[-0.41843267 -0.02323166 0.30139774]
[-0.33374674 0.04733995 0.37196935]
...
[-0.41843267 0.01911131 0.30139774]
[-0.44666131 -0.00911734 0.28728342]
[-0.46077563 -0.02323166 0.2731691 ]]
...
[[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
...
[-1.60403568 -1.44877815 -1.19472036]
[-1.64637865 -1.47700679 -1.25117764]
[-1.67460729 -1.50523543 -1.27940629]]
[[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
...
[-1.60403568 -1.44877815 -1.19472036]
[-1.61815001 -1.44877815 -1.222949 ]
[-1.66049297 -1.49112111 -1.26529196]]
[[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
[-1.67460729 -1.67460729 -1.67460729]
...
[-1.60403568 -1.44877815 -1.19472036]
[-1.58992136 -1.4205495 -1.19472036]
[-1.64637865 -1.47700679 -1.25117764]]]
[[[-0.68576058 -0.65851282 -0.6721367 ]
[-1.21709198 -1.18984422 -1.2034681 ]
[-0.94461434 -0.91736658 -0.93099046]
...
[-1.5849368 -1.5031935 -1.5849368 ]
[-1.14897257 -1.06722928 -1.18984422]
[-1.0536054 -0.95823822 -1.09447704]]
[[-1.08085316 -1.06722928 -1.08085316]
[-1.36695468 -1.3533308 -1.36695468]
[-1.5031935 -1.48956962 -1.5031935 ]
...
[-1.39420245 -1.33970692 -1.39420245]
[-1.42145021 -1.3533308 -1.44869798]
[-1.38057857 -1.28521139 -1.40782633]]
[[-0.98548599 -0.98548599 -1.01273375]
[-1.06722928 -1.06722928 -1.09447704]
[-1.25796363 -1.25796363 -1.28521139]
...
[-1.18984422 -1.18984422 -1.21709198]
[-1.02635763 -1.02635763 -1.06722928]
[-1.31245916 -1.29883527 -1.36695468]]
...
[[ 1.2215829 1.24883066 1.23520678]
[ 1.23520678 1.26245454 1.24883066]
[ 1.23520678 1.26245454 1.24883066]
...
[ 0.43139774 0.44502162 0.49951715]
[ 0.41777386 0.43139774 0.48589327]
[ 0.43139774 0.44502162 0.49951715]]
[[ 1.23520678 1.26245454 1.24883066]
[ 1.2215829 1.24883066 1.23520678]
[ 1.20795901 1.23520678 1.2215829 ]
...
[ 0.48589327 0.49951715 0.55401268]
[ 0.47226939 0.48589327 0.5403888 ]
[ 0.47226939 0.48589327 0.5403888 ]]
[[ 1.19433513 1.2215829 1.20795901]
[ 1.16708737 1.19433513 1.18071125]
[ 1.15346349 1.18071125 1.16708737]
...
[ 0.67662762 0.6902515 0.74474703]
[ 0.70387538 0.71749926 0.77199479]
[ 0.73112314 0.74474703 0.79924255]]]
[[[-1.35183598 -1.45036667 -1.43805033]
[-1.32720331 -1.38878499 -1.38878499]
[-1.35183598 -1.425734 -1.425734 ]
...
[ 1.43165578 1.41933944 1.46860478]
[ 1.44397211 1.41933944 1.46860478]
[ 1.45628845 1.40702311 1.45628845]]
[[-1.52426468 -1.56121368 -1.54889735]
[-1.56121368 -1.59816269 -1.58584635]
[-1.51194834 -1.54889735 -1.53658101]
...
[ 1.40702311 1.38239044 1.43165578]
[ 1.41933944 1.39470677 1.44397211]
[ 1.43165578 1.39470677 1.45628845]]
[[-1.57353002 -1.59816269 -1.58584635]
[-1.57353002 -1.59816269 -1.58584635]
[-1.52426468 -1.54889735 -1.53658101]
...
[ 1.41933944 1.39470677 1.45628845]
[ 1.40702311 1.3700741 1.44397211]
[ 1.44397211 1.41933944 1.46860478]]
...
[[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
...
[-0.71138655 -0.77296823 -0.69907022]
[-0.77296823 -0.8345499 -0.76065189]
[-0.8345499 -0.89613158 -0.82223357]]
[[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
...
[-0.88381524 -0.94539692 -0.87149891]
[-0.95771326 -1.01929493 -0.94539692]
[-0.36652917 -0.42811084 -0.35421283]]
[[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
[ 1.48092112 1.48092112 1.48092112]
...
[-0.8345499 -0.92076425 -0.8345499 ]
[-0.48969252 -0.57590686 -0.48969252]
[-0.00935544 -0.09556979 -0.00935544]]]]
(4, 160, 160, 3)
文章来源: yunyaniu.blog.csdn.net，作者：一个处女座的程序猿，版权归原作者所有，如需转载，请联系作者。
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