以前，windows下配置opencv一直不太方便：總是要手動新增lib，新增include，還要配置path使得程式執行時候能找到dll檔案。
每次新建乙個使用opencv的工程都要手動新增，很麻煩；而且，有時候需要不同版本的opencv測試。如果從32位模式切換到64位模式，又需要替換一次配置。。一旦有乙個配錯了，就總是徘徊在各種配置項的檢查上。
後來，看到了freedomshe用屬性表進行配置，其提供的屬性表檔案確實方便，但是還是需要手動配置opencv環境變數、追加opencv中的bin目錄到path上（bin中有dll檔案）。能不能不配置？（免得保不准自己又要重啟機器...）
答案當然是可以！
配置opencv環境變數的目的在於，include路徑、lib路徑都使用這個字首，能減少打字的次數；同時也是要把opencv的幾個dll檔案所在路徑，追加到系統path上。
只要我們在屬性表檔案中自行定義opencv根目錄，新增include路徑、lib路徑，新增dll目錄，以後使用opencv的專案只需要匯入這個屬性表就ok了，太簡單了！
當然，以前的老版本中的各種dll和lib分成好多個檔案，現在的版本如果編譯了opencv_contrib也會有額外的dll和lib，這些需要的時候再新增就好了。
廢話不多說，這是opencv3.0.0的通用屬性表檔案opencv300.props
<?xml version="1.0" encoding="utf-8"?>
f:\chris\lib\opencv-3.1.0\buildextra\install
$(opencvroot)\include;$(includepath)
$(opencvroot)\x86\vc12\lib;$(librarypath)
$(opencvroot)\x64\vc12\lib;$(librarypath)
$(projectdir)
windowslocaldebugger
path=%path%;$(opencvroot)\x86\vc12\bin
path=%path%;$(opencvroot)\x64\vc12\bin
opencv_ts300d.lib;opencv_world310d.lib;%(additionaldependencies)
opencv_ts300.lib;opencv_world310.lib;%(additionaldependencies)
<?xml version="1.0" encoding="utf-8"?>
d:\lib\opencv310\build
$(opencvroot)\include;$(includepath)
$(opencvroot)\x86\vc12\lib;$(librarypath)
$(opencvroot)\x64\vc12\lib;$(librarypath)
$(projectdir)
windowslocaldebugger
path=%path%;$(opencvroot)\x86\vc12\bin
path=%path%;$(opencvroot)\x64\vc12\bin
opencv_world310d.lib;%(additionaldependencies)
opencv_world310.lib;%(additionaldependencies)
<?xml version="1.0" encoding="utf-8"?>
f:\chris\lib\opencv-3.1.0\buildextra\install
$(opencvroot)\include;$(includepath)
$(opencvroot)\x86\vc12\lib;$(librarypath)
$(opencvroot)\x64\vc12\lib;$(librarypath)
$(projectdir)
windowslocaldebugger
path=%path%;$(opencvroot)\x86\vc12\bin
path=%path%;$(opencvroot)\x64\vc12\bin
opencv_aruco310d.lib;opencv_bgsegm310d.lib;opencv_bioinspired310d.lib;opencv_calib3d310d.lib;opencv_ccalib310d.lib;opencv_core310d.lib;opencv_cudaarithm310d.lib;opencv_cudabgsegm310d.lib;opencv_cudacodec310d.lib;opencv_cudastereo310d.lib;opencv_cudawarping310d.lib;opencv_cudev310d.lib;opencv_datasets310d.lib;opencv_dnn310d.lib;opencv_dpm310d.lib;opencv_face310d.lib;opencv_features2d310d.lib;opencv_flann310d.lib;opencv_fuzzy310d.lib;opencv_highgui310d.lib;opencv_imgcodecs310d.lib;opencv_imgproc310d.lib;opencv_line_descriptor310d.lib;opencv_ml310d.lib;opencv_objdetect310d.lib;opencv_optflow310d.lib;opencv_plot310d.lib;opencv_reg310d.lib;opencv_rgbd310d.lib;opencv_saliency310d.lib;opencv_shape310d.lib;opencv_stereo310d.lib;opencv_structured_light310d.lib;opencv_su***ce_matching310d.lib;opencv_text310d.lib;opencv_tracking310d.lib;opencv_ts310d.lib;opencv_video310d.lib;opencv_videoio310d.lib;opencv_world310d.lib;opencv_ximgproc310d.lib;opencv_xobjdetect310d.lib;%(additionaldependencies)
opencv_aruco310.lib;opencv_bgsegm310.lib;opencv_bioinspired310.lib;opencv_calib3d310.lib;opencv_ccalib310.lib;opencv_core310.lib;opencv_cudaarithm310.lib;opencv_cudabgsegm310.lib;opencv_cudacodec310.lib;opencv_cudastereo310.lib;opencv_cudawarping310.lib;opencv_cudev310.lib;opencv_datasets310.lib;opencv_dnn310.lib;opencv_dpm310.lib;opencv_face310.lib;opencv_features2d310.lib;opencv_flann310.lib;opencv_fuzzy310.lib;opencv_highgui310.lib;opencv_imgcodecs310.lib;opencv_imgproc310.lib;opencv_line_descriptor310.lib;opencv_ml310.lib;opencv_objdetect310.lib;opencv_optflow310.lib;opencv_plot310.lib;opencv_reg310.lib;opencv_rgbd310.lib;opencv_saliency310.lib;opencv_shape310.lib;opencv_stereo310.lib;opencv_structured_light310.lib;opencv_su***ce_matching310.lib;opencv_text310.lib;opencv_tracking310.lib;opencv_ts310.lib;opencv_video310.lib;opencv_videoio310.lib;opencv_world310.lib;opencv_ximgproc310.lib;opencv_xobjdetect310.lib;%(additionaldependencies)
p.s. 有人可能會問，上面的屬性表xml檔案裡面的各屬性是如何確定的？屬性值容易設定，屬性名確實不是一眼看出來的。
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