gabor + pca + svm

.gitignore

@@ -27,3 +27,15 @@
 *.exe
 *.out
 *.app
+
+# MAC OS
+.DS_Store
+
+# CMake
+CMakeCache.txt
+CMakeFiles
+CMakeScripts
+Makefile
+cmake_install.cmake
+install_manifest.txt
+CTestTestfile.cmake

README.md

@@ -1,2 +1,106 @@
 # face-master
+
 project for COMP7502
+Group 23, Aug 2016
+
+LIN Zhen    3035238333
+XU Linxiao  3035237896
+ZHU Yilei   3035268948
+
+
+//============
+// dependency
+//============
+
+opencv 2.4.9
+boost 1.60.0
+
+MacOS:
+    brew install opencv boost
+
+ubuntu:
+    apt-get install opencv boost
+
+
+//=======
+// build
+//=======
+
+cd face-master
+cd src
+rm CMakeCache.txt (if any)
+
+cmake .
+make
+
+
+//======
+// run
+//======
+
+// training program
+//-------------------------------
+
+usage: ./train /path/to/test/folder [det]
+# train folder must have 2 subdir: female and male
+
+# e.g.
+    ./train trainSet       # will look for folder: trainSet_output
+                           # if exists，then will not do face-detection again
+    ./train trainSet det   # force re-do face-detection
+
+
+// test program
+//-------------------------------
+
+usage: ./test /path/to/test/file/or/folder [cal]
+
+# e.g.
+    ./test testpic/1.jpg        # output gender result only
+    ./test testSet       cal    # output calssfication precision
+                                # test folder for calulation must have 2 subdir: female and male
+
+
+//===========
+// file list
+//===========
+
+README.md                         # current file
+haarcascade_frontalface_alt.xml   # face detection from opencv 2.4.9
+
+src/                              # all source file
+trainSet/                         # training set, including female and male pics
+testPic/                          # test picutres
+testSet/                          # test set for precision evaluation
+
+ignore/                           # reference file and scripts, can ignore
+
+
+// source files under src/
+//-------------------------
+
+CMakeLists.txt                    # cmake file
+
+trMain.cpp                        # entry point for training
+testMain.cpp                      # entry point for test
+
+myGabor.h                         # OUR own feature extraction algorithm
+myGabor.cpp
+
+pcaImpl.h                         # OUR own PCA algorithm
+pcaImpl.cpp
+
+utils.h                            # shared by trMain and testMain
+utils.cpp
+
+
+//========
+// result
+//========
+
+Demo:
+    https://www.youtube.com/watch?v=aWE7YZFow1o&feature=youtu.be
+
+Result:
+    precesion up to 79%
+