能進行人臉識別。圖片中有人臉，將自動視為人臉區(qū)域為重要區(qū)域，將不會被裁剪掉。
自動識別其它重要區(qū)域。如果圖片中未識別出人臉，則會根據(jù)特征分布計算出重區(qū)域。
總而言之，自動識別圖片中的重要區(qū)域，并且在圖片裁剪時保留重要區(qū)域。
源碼地址：https://github.com/exinnet/tclip

安裝opencv

根據(jù)github上的說明，在CentOS上安裝沒有問題，但在我的MacOS上就掛了。

首先遇到的問題就是，opencv安裝不過去。還好，上github下載最新的opencv-2.4.11 安裝成功。

下載地址：https://github.com/Itseez/opencv/releases

使用當前最新版本 OpenCV 2.4.11

安裝依賴

在安裝opencv之前，先安裝一些依賴包：

復制代碼代碼如下:

brew install gtk+ pkgconfig libpng zlib libjpeg libtiff cmake

提示： brew的安裝使用請參考 http://brew.sh/

安裝opencv

開始安裝 opencv：

復制代碼代碼如下:

tar zxf opencv-2.4.11.tar.gz

cd opencv-2.4.11

cmake CMakeLists.txt 

make && make install

安裝php tclip

先下載：https://github.com/exinnet/tclip/archive/master.zip

然后繼續(xù)：

復制代碼代碼如下:

unzip tclip-master.zip 

cd tclip-master/php_ext

phpize

./configure

如果不出意外，到這一步，應該就掛掉了，提示：

復制代碼代碼如下:

checking for opencv.pc file in default path... found in /usr/lib/pkgconfig

found in /usr/local/lib/pkgconfig

configure: error: no result from pkg-config opencv --libs --cflags opencv

在 Tclip 作者的頁面上 http://www.bo56.com/tclip%E4%BA%BA%E8%84%B8%E8%AF%86%E5%88%AB%E5%9B%BE%E7%89%87%E8%A3%81%E5%89%AA/#download

評論中，也有網(wǎng)友遇到了類似的問題，提出修改辦法為：

將 config.m4 中的判斷語句test ${i:${#i}-3} = “.so”，改為 test ${i:${#i}-6} = ".dylib”，并嘗試將46行的.so 也改稱 .dylib
依然提示no result的錯誤～

再翻翻config.m4的代碼和執(zhí)行 pkg-config opencv --libs --cflags opencv的輸出結(jié)果：

復制代碼代碼如下:

-I/usr/local/include/opencv -I/usr/local/include -L/usr/local/lib -lopencv_calib3d -lopencv_contrib -lopencv_core -lopencv_features2d -lopencv_flann -lopencv_gpu -lopencv_highgui -lopencv_imgproc -lopencv_legacy -lopencv_ml -lopencv_nonfree -lopencv_objdetect -lopencv_ocl -lopencv_photo -lopencv_stitching -lopencv_superres -lopencv_ts -lopencv_video -lopencv_videostab

感覺怎么對不上，于是跑到Linux安裝成功的服務(wù)器執(zhí)行了一下，輸出結(jié)果如下：

復制代碼代碼如下:

-I/usr/local/include/opencv -I/usr/local/include /usr/local/lib/libopencv_calib3d.so /usr/local/lib/libopencv_contrib.so /usr/local/lib/libopencv_core.so /usr/local/lib/libopencv_features2d.so /usr/local/lib/libopencv_flann.so /usr/local/lib/libopencv_gpu.so /usr/local/lib/libopencv_highgui.so /usr/local/lib/libopencv_imgproc.so /usr/local/lib/libopencv_legacy.so /usr/local/lib/libopencv_ml.so /usr/local/lib/libopencv_nonfree.so /usr/local/lib/libopencv_objdetect.so /usr/local/lib/libopencv_photo.so /usr/local/lib/libopencv_stitching.so /usr/local/lib/libopencv_ts.so /usr/local/lib/libopencv_video.so /usr/local/lib/libopencv_videostab.so

再看他的判斷代碼：

復制代碼代碼如下:

OPENCV_FLAGS="`pkg-config opencv --libs --cflags opencv`"

for i in $OPENCV_FLAGS;do

if test ${i:0:2} = "-I" ;then

PHP_ADD_INCLUDE(${i:2})

elif test ${i:${#i}-3} = ".so" ;then

dir_name=`dirname $i`

file_name=${i/$dir_name/}

file_name=${file_name/\/lib/}

file_name=${file_name/.so/}

PHP_ADD_LIBRARY_WITH_PATH($file_name,$dir_name,TCLIP_SHARED_LIBADD)

else

AC_MSG_ERROR([no result from pkg-config opencv --libs --cflags opencv])

fi

done

我立刻就明白了，Linux上輸出的都是具體的.so路徑，MacOS上都是相對的路徑，而config.m4中是根據(jù)具體路徑和擴展名判斷的，明白了問題，解決就簡單了。

將 pkg-config opencv --libs --cflags opencv 的執(zhí)行結(jié)果修改為具體的路徑，并替換到config.m4中：

復制代碼代碼如下:

OPENCV_FLAGS="-I/usr/local/include/opencv -I/usr/local/include /usr/local/lib/libopencv_calib3d.dylib /usr/local/lib/libopencv_contrib.dylib /usr/local/lib/libopencv_core.dylib /usr/local/lib/libopencv_features2d.dylib /usr/local/lib/libopencv_flann.dylib /usr/local/lib/libopencv_gpu.dylib /usr/local/lib/libopencv_highgui.dylib /usr/local/lib/libopencv_imgproc.dylib /usr/local/lib/libopencv_legacy.dylib /usr/local/lib/libopencv_ml.dylib /usr/local/lib/libopencv_nonfree.dylib /usr/local/lib/libopencv_objdetect.dylib /usr/local/lib/libopencv_photo.dylib /usr/local/lib/libopencv_stitching.dylib /usr/local/lib/libopencv_ts.dylib /usr/local/lib/libopencv_video.dylib /usr/local/lib/libopencv_videostab.dylib"

再繼續(xù)執(zhí)行：

復制代碼代碼如下: