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This commit is contained in:
Tadas Baltrusaitis 2017-04-14 17:23:51 -04:00
commit bd0cebbef0
61 changed files with 5794 additions and 316 deletions
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26
.gitignore vendored
View file

@ -6,7 +6,7 @@ lib/local/LandmarkDetector/x64/
exe/FaceLandmarkImg/x64/
exe/FaceLandmarkVid/x64/
exe/FeatureExtraction/x64/
x64/Release/
/x64/Release/
OpenFace.VC.opendb
OpenFace.sdf
matlab_runners/Action Unit Experiments/AU_preds/
@ -21,13 +21,14 @@ matlab_runners/Feature Point Experiments/yt_features_clm/
matlab_runners/Gaze Experiments/mpii_out/
build/
Release/AU_predictors/
Release/
/Debug/
/Release/
exe/Recording/recording/
ipch/
exe/FeatureExtraction/out_bp4d/
matlab_runners/Action Unit Experiments/out_bp4d/
matlab_runners/Action Unit Experiments/out_SEMAINE/
x64/Debug/
/x64/Debug/
matlab_runners/Action Unit Experiments/out_unbc/
matlab_runners/Action Unit Experiments/out_bosph/
matlab_runners/Action Unit Experiments/out_DISFA/
@ -51,5 +52,22 @@ lib/local/LandmarkDetector/Debug/
OpenFaceDemo/bin/
OpenFaceDemo/obj/
Debug/model/
Debug/
*.suo
lib/3rdParty/dlib/Debug/
lib/local/FaceAnalyser/Debug/
lib/local/LandmarkDetector/Debug/
matlab_runners/Head Pose Experiments/experiments/biwi_out/
matlab_runners/Head Pose Experiments/experiments/bu_out/
matlab_runners/Head Pose Experiments/experiments/ict_out/
exe/FaceLandmarkImg/Release/
exe/FaceLandmarkVid/Release/
exe/FaceLandmarkVidMulti/Release/
exe/FeatureExtraction/Release/
exe/Recording/Release/
gui/OpenFaceDemo/obj/
lib/3rdParty/dlib/Release/
lib/local/CamCom/Release/
lib/local/CppInerop/Release/
lib/local/CppInerop/x64/
lib/local/FaceAnalyser/Release/
lib/local/LandmarkDetector/Release/

70
.travis.yml
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@ -14,48 +14,55 @@ os:
- linux
before_install:
# OpenCV dependencies and boost
- if [ ${TRAVIS_OS_NAME} = linux ]; then
sudo apt-get install git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev;
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev checkinstall;
sudo add-apt-repository -y ppa:boost-latest/ppa;
sudo apt-get update;
sudo apt-get install libboost1.55-all-dev;
wget https://github.com/Itseez/opencv/archive/3.1.0.zip;
sudo unzip 3.1.0.zip;
cd opencv-3.1.0;
sudo mkdir build;
cd build;
fi
# g++4.8.1
- if [ "$CXX" == "g++" ]; then
if [[ ${TRAVIS_OS_NAME} = linux ]]; then
- if [ "$CXX" = "g++" ]; then
if [ ${TRAVIS_OS_NAME} = linux ]; then
sudo add-apt-repository -y ppa:ubuntu-toolchain-r/test;
sudo apt-get update -qq;
sudo apt-get install -qq g++-4.8;
export CXX="g++-4.8";
sudo cmake -D CMAKE_BUILD_TYPE=RELEASE -D WITH_V4L=ON -D WITH_OPENCL=OFF -D INSTALL_C_EXAMPLES=OFF -D BUILD_EXAMPLES=OFF -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF -D INSTALL_PYTHON_EXAMPLES=OFF ..;
fi
fi
# clang 3.4
- if [ "$CXX" == "clang++" ]; then
if [[ ${TRAVIS_OS_NAME} = linux ]]; then
sudo add-apt-repository -y ppa:h-rayflood/llvm;
- if [ "$CXX" = "clang++" ]; then
if [ ${TRAVIS_OS_NAME} = linux ]; then
$CXX --version;
sudo sed -i -e 's/^Defaults\tsecure_path.*$//' /etc/sudoers;
sudo cmake -D CMAKE_BUILD_TYPE=RELEASE -D WITH_V4L=ON -D WITH_OPENCL=OFF -D INSTALL_C_EXAMPLES=OFF -D BUILD_EXAMPLES=OFF -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF -D INSTALL_PYTHON_EXAMPLES=OFF ..;
fi
fi
- if [[ ${TRAVIS_OS_NAME} = linux ]]; then sudo apt-get update -qq; fi
install:
- if [ "$CXX" == "g++" ]; then if [[ ${TRAVIS_OS_NAME} = linux ]]; then sudo apt-get install -qq g++-4.8; fi fi
- if [ "$CXX" == "g++" ]; then if [[ ${TRAVIS_OS_NAME} = linux ]]; then export CXX="g++-4.8"; fi fi
- if [ "$CXX" == "clang++" ]; then if [[ ${TRAVIS_OS_NAME} = linux ]]; then sudo apt-get install -qq clang-3.4; fi fi
- if [ "$CXX" == "clang++" ]; then if [[ ${TRAVIS_OS_NAME} = linux ]]; then export CXX="clang++-3.4"; fi fi
- if [[ ${TRAVIS_OS_NAME} = linux ]]; then sudo apt-get install git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev; fi
- if [[ ${TRAVIS_OS_NAME} = linux ]]; then sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev checkinstall; fi
# Getting newest boost
- if [[ ${TRAVIS_OS_NAME} = linux ]]; then sudo add-apt-repository -y ppa:boost-latest/ppa; fi
- if [[ ${TRAVIS_OS_NAME} = linux ]]; then sudo apt-get update; fi
- if [[ ${TRAVIS_OS_NAME} = linux ]]; then sudo apt-get install libboost1.55-all-dev; fi
- if [[ ${TRAVIS_OS_NAME} = osx ]]; then brew update; fi
- if [[ ${TRAVIS_OS_NAME} = osx ]]; then brew tap homebrew/science; fi
- if [[ ${TRAVIS_OS_NAME} = osx ]]; then brew install tbb opencv3; fi
- if [ ${TRAVIS_OS_NAME} = osx ]; then
brew update;
brew install tbb;
wget https://github.com/Itseez/opencv/archive/3.1.0.zip;
sudo unzip 3.1.0.zip;
cd opencv-3.1.0;
sudo mkdir build;
cd build;
sudo cmake -D CMAKE_BUILD_TYPE=RELEASE -D WITH_V4L=ON ..;
fi
before_script:
- git clone https://github.com/Itseez/opencv.git
- cd opencv
- mkdir build
- cd build
- cmake ..
- make -j2
- sudo make -j2 install
- sudo make -j4
- sudo make install
- cd ../..
script:
@ -68,4 +75,5 @@ script:
- ../build/bin/FaceLandmarkImg -inroot ../videos -f Obama.jpg -outroot data -of obama.txt -op obama.3d -oi obama.bmp -multi_view 1 -wild -q
- ../build/bin/FaceLandmarkVidMulti -inroot ../videos -f multi_face.avi -outroot output -ov multi_face.avi -q
- ../build/bin/FeatureExtraction -f "../videos/1815_01_008_tony_blair.avi" -outroot output_features -ov blair.avi -of "1815_01_008_tony_blair.txt" -simalign aligned -ov feat_test.avi -hogalign hog_test.dat -q
- ../build/bin/FeatureExtraction -f "../videos/1815_01_008_tony_blair.avi" -outroot output_features -simsize 200 -simscale 0.5 -ov blair.avi -of "1815_01_008_tony_blair.txt" -simalign aligned -ov feat_test.avi -hogalign hog_test.dat -q
- ../build/bin/FaceLandmarkVid -inroot ../videos -f 1815_01_008_tony_blair.avi -f 0188_03_021_al_pacino.avi -f 0217_03_006_alanis_morissette.avi -outroot output_data -ov 1.avi -ov 2.avi -ov 3.avi -q

23
CMakeLists.txt
View file

@ -5,7 +5,12 @@ set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin/)
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_SOURCE_DIR}/cmake/modules/")
set(CMAKE_CONFIG_DIR etc/OpenFace)
set(CONFIG_DIR "${CMAKE_INSTALL_PREFIX}/${CMAKE_CONFIG_DIR}")
add_definitions(-DCONFIG_DIR="${CONFIG_DIR}")
find_package( OpenCV REQUIRED )
MESSAGE("OpenCV information:")
MESSAGE(" OpenCV_INCLUDE_DIRS: ${OpenCV_INCLUDE_DIRS}")
MESSAGE(" OpenCV_LIBRARIES: ${OpenCV_LIBRARIES}")
@ -33,6 +38,8 @@ foreach(file ${files})
else(MSVC)
file(COPY ${file} DESTINATION ${CMAKE_BINARY_DIR}/bin/model)
endif(MSVC)
install(FILES ${file} DESTINATION ${CMAKE_CONFIG_DIR}/model)
endforeach()
# Move the hierarchical LandmarkDetector models
@ -44,6 +51,8 @@ foreach(file ${files})
else(MSVC)
file(COPY ${file} DESTINATION ${CMAKE_BINARY_DIR}/bin/model)
endif(MSVC)
install(DIRECTORY ${file} DESTINATION ${CMAKE_CONFIG_DIR}/model)
endforeach()
file(GLOB files "lib/local/LandmarkDetector/model/detection_validation/*.txt")
@ -54,6 +63,8 @@ foreach(file ${files})
else(MSVC)
file(COPY ${file} DESTINATION ${CMAKE_BINARY_DIR}/bin/model/detection_validation)
endif(MSVC)
install(FILES ${file} DESTINATION ${CMAKE_CONFIG_DIR}/model/detection_validation)
endforeach()
file(GLOB files "lib/local/LandmarkDetector/model/patch_experts/*.txt")
@ -64,6 +75,8 @@ foreach(file ${files})
else(MSVC)
file(COPY ${file} DESTINATION ${CMAKE_BINARY_DIR}/bin/model/patch_experts)
endif(MSVC)
install(FILES ${file} DESTINATION ${CMAKE_CONFIG_DIR}/model/patch_experts)
endforeach()
file(GLOB files "lib/local/LandmarkDetector/model/pdms/*.txt")
@ -74,6 +87,8 @@ foreach(file ${files})
else(MSVC)
file(COPY ${file} DESTINATION ${CMAKE_BINARY_DIR}/bin/model/pdms)
endif(MSVC)
install(FILES ${file} DESTINATION ${CMAKE_CONFIG_DIR}/model/pdms)
endforeach()
# Move OpenCV classifiers
@ -85,6 +100,8 @@ foreach(file ${files})
else(MSVC)
file(COPY ${file} DESTINATION ${CMAKE_BINARY_DIR}/bin/classifiers)
endif(MSVC)
install(FILES ${file} DESTINATION ${CMAKE_CONFIG_DIR}/classifiers)
endforeach()
# Move AU prediction modules
@ -96,6 +113,8 @@ foreach(file ${files})
else(MSVC)
file(COPY ${file} DESTINATION ${CMAKE_BINARY_DIR}/bin/AU_predictors)
endif(MSVC)
install(FILES ${file} DESTINATION ${CMAKE_CONFIG_DIR}/AU_predictors)
endforeach()
# Move AU prediction modules
@ -107,6 +126,8 @@ foreach(file ${files})
else(MSVC)
file(COPY ${file} DESTINATION ${CMAKE_BINARY_DIR}/bin/AU_predictors)
endif(MSVC)
install(DIRECTORY ${file} DESTINATION ${CMAKE_CONFIG_DIR}/AU_predictors)
endforeach()
# Move AU prediction modules
@ -118,6 +139,8 @@ foreach(file ${files})
else(MSVC)
file(COPY ${file} DESTINATION ${CMAKE_BINARY_DIR}/bin/AU_predictors)
endif(MSVC)
install(DIRECTORY ${file} DESTINATION ${CMAKE_CONFIG_DIR}/AU_predictors)
endforeach()
if (${CMAKE_CXX_COMPILER_ID} STREQUAL "GNU")

3
README.md
View file

@ -9,7 +9,8 @@ The code was written mainly by Tadas Baltrusaitis during his time at the Languag
Special thanks goes to Louis-Philippe Morency and his MultiComp Lab at Institute for Creative Technologies for help in writing and testing the code, and Erroll Wood for the gaze estimation work.
**For instructions of how to install/compile/use the project please see [wiki](https://github.com/TadasBaltrusaitis/OpenFace/wiki)**
## WIKI
**For instructions of how to install/compile/use the project please see [WIKI](https://github.com/TadasBaltrusaitis/OpenFace/wiki)**
More details about the project - http://www.cl.cam.ac.uk/research/rainbow/projects/openface/

1
appveyor.yml
View file

@ -25,4 +25,5 @@ test_script:
- cmd: if exist "../videos" (FaceLandmarkImg.exe -inroot ../videos -f obama.jpg -outroot out_data -of obama.pts -op obama.3d -oi obama.bmp -q) else (FaceLandmarkImg.exe -inroot ../../videos -f obama.jpg -outroot out_data -of obama.pts -op obama.3d -oi obama.bmp -q)
- cmd: if exist "../videos" (FaceLandmarkVidMulti.exe -inroot ../videos -f multi_face.avi -ov multi_face.avi -q) else (FaceLandmarkVidMulti.exe -inroot ../../videos -f multi_face.avi -ov multi_face.avi -q)
- cmd: if exist "../videos" (FeatureExtraction.exe -f "../videos/1815_01_008_tony_blair.avi" -outroot output_features -of "1815_01_008_tony_blair.txt" -simalign aligned -ov feat_track.avi -hogalign hog_test.dat -q) else (FeatureExtraction.exe -f "../../videos/1815_01_008_tony_blair.avi" -outroot output_features -of "1815_01_008_tony_blair.txt" -simalign aligned -ov feat_track.avi -hogalign hog_test.dat -q)
- cmd: if exist "../videos" (FeatureExtraction.exe -f "../videos/1815_01_008_tony_blair.avi" -outroot output_features -of "1815_01_008_tony_blair.txt" -simalign aligned -simsize 200 -simscale 0.5 -ov feat_track.avi -hogalign hog_test.dat -q) else (FeatureExtraction.exe -f "../../videos/1815_01_008_tony_blair.avi" -outroot output_features -of "1815_01_008_tony_blair.txt" -simalign aligned -simsize 200 -simscale 0.5 -ov feat_track.avi -hogalign hog_test.dat -q)
- cmd: if exist "../videos" (FaceLandmarkVid.exe -f "../videos/1815_01_008_tony_blair.avi" -ov track.avi -q) else (FaceLandmarkVid.exe -f "../../videos/1815_01_008_tony_blair.avi" -ov track.avi -q)

44
exe/FaceLandmarkImg/FaceLandmarkImg.cpp
View file

@ -78,6 +78,10 @@
#include <FaceAnalyser.h>
#include <GazeEstimation.h>
#ifndef CONFIG_DIR
#define CONFIG_DIR "~"
#endif
using namespace std;
vector<string> get_arguments(int argc, char **argv)
@ -317,6 +321,10 @@ int main (int argc, char **argv)
//Convert arguments to more convenient vector form
vector<string> arguments = get_arguments(argc, argv);
// Search paths
boost::filesystem::path config_path = boost::filesystem::path(CONFIG_DIR);
boost::filesystem::path parent_path = boost::filesystem::path(arguments[0]).parent_path();
// Some initial parameters that can be overriden from command line
vector<string> files, depth_files, output_images, output_landmark_locations, output_pose_locations;
@ -356,39 +364,45 @@ int main (int argc, char **argv)
// Loading the AU prediction models
string au_loc = "AU_predictors/AU_all_static.txt";
if (!boost::filesystem::exists(boost::filesystem::path(au_loc)))
boost::filesystem::path au_loc_path = boost::filesystem::path(au_loc);
if (boost::filesystem::exists(au_loc_path))
{
boost::filesystem::path loc = boost::filesystem::path(arguments[0]).parent_path() / au_loc;
if (boost::filesystem::exists(loc))
au_loc = au_loc_path.string();
}
else if (boost::filesystem::exists(parent_path/au_loc_path))
{
au_loc = loc.string();
au_loc = (parent_path/au_loc_path).string();
}
else if (boost::filesystem::exists(config_path/au_loc_path))
{
au_loc = (config_path/au_loc_path).string();
}
else
{
cout << "Can't find AU prediction files, exiting" << endl;
return 1;
}
}
// Used for image masking for AUs
string tri_loc;
if (boost::filesystem::exists(boost::filesystem::path("model/tris_68_full.txt")))
boost::filesystem::path tri_loc_path = boost::filesystem::path("model/tris_68_full.txt");
if (boost::filesystem::exists(tri_loc_path))
{
std::ifstream triangulation_file("model/tris_68_full.txt");
tri_loc = "model/tris_68_full.txt";
tri_loc = tri_loc_path.string();
}
else if (boost::filesystem::exists(parent_path/tri_loc_path))
{
tri_loc = (parent_path/tri_loc_path).string();
}
else if (boost::filesystem::exists(config_path/tri_loc_path))
{
tri_loc = (config_path/tri_loc_path).string();
}
else
{
boost::filesystem::path loc = boost::filesystem::path(arguments[0]).parent_path() / "model/tris_68_full.txt";
tri_loc = loc.string();
if (!exists(loc))
{
cout << "Can't find triangulation files, exiting" << endl;
return 1;
}
}
FaceAnalysis::FaceAnalyser face_analyser(vector<cv::Vec3d>(), 0.7, 112, 112, au_loc, tri_loc);

2
exe/FeatureExtraction/CMakeLists.txt
View file

@ -14,3 +14,5 @@ target_link_libraries(FeatureExtraction FaceAnalyser)
target_link_libraries(FeatureExtraction dlib)
target_link_libraries(FeatureExtraction ${OpenCV_LIBS} ${Boost_LIBRARIES} ${TBB_LIBRARIES})
install (TARGETS FeatureExtraction DESTINATION bin)

65
exe/FeatureExtraction/FeatureExtraction.cpp
View file

@ -2,7 +2,7 @@
// Copyright (C) 2016, Carnegie Mellon University and University of Cambridge,
// all rights reserved.
//
// THIS SOFTWARE IS PROVIDED “AS IS” FOR ACADEMIC USE ONLY AND ANY EXPRESS
// THIS SOFTWARE IS PROVIDED “AS IS” FOR ACADEMIC USE ONLY AND ANY EXPRESS
// OR IMPLIED WARRANTIES WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
// THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS
@ -15,13 +15,13 @@
// POSSIBILITY OF SUCH DAMAGE.
//
// Notwithstanding the license granted herein, Licensee acknowledges that certain components
// of the Software may be covered by so-called “open source” software licenses (“Open Source
// Components”), which means any software licenses approved as open source licenses by the
// of the Software may be covered by so-called “open source” software licenses (“Open Source
// Components”), which means any software licenses approved as open source licenses by the
// Open Source Initiative or any substantially similar licenses, including without limitation any
// license that, as a condition of distribution of the software licensed under such license,
// requires that the distributor make the software available in source code format. Licensor shall
// provide a list of Open Source Components for a particular version of the Software upon
// Licensee’s request. Licensee will comply with the applicable terms of such licenses and to
// Licensee’s request. Licensee will comply with the applicable terms of such licenses and to
// the extent required by the licenses covering Open Source Components, the terms of such
// licenses will apply in lieu of the terms of this Agreement. To the extent the terms of the
// licenses applicable to Open Source Components prohibit any of the restrictions in this
@ -38,20 +38,20 @@
// reports and manuals, must cite at least one of the following works:
//
// OpenFace: an open source facial behavior analysis toolkit
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
// in IEEE Winter Conference on Applications of Computer Vision, 2016
//
// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
// in IEEE International. Conference on Computer Vision (ICCV), 2015
//
// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
// in Facial Expression Recognition and Analysis Challenge,
// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
//
// Constrained Local Neural Fields for robust facial landmark detection in the wild.
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
//
///////////////////////////////////////////////////////////////////////////////
@ -81,6 +81,9 @@
#include <FaceAnalyser.h>
#include <GazeEstimation.h>
#ifndef CONFIG_DIR
#define CONFIG_DIR "~"
#endif
#define INFO_STREAM( stream ) \
std::cout << stream << std::endl
@ -239,6 +242,10 @@ int main (int argc, char **argv)
vector<string> arguments = get_arguments(argc, argv);
// Search paths
boost::filesystem::path config_path = boost::filesystem::path(CONFIG_DIR);
boost::filesystem::path parent_path = boost::filesystem::path(arguments[0]).parent_path();
// Some initial parameters that can be overriden from command line
vector<string> input_files, depth_directories, output_files, tracked_videos_output;
@ -317,25 +324,26 @@ int main (int argc, char **argv)
get_output_feature_params(output_similarity_align, output_hog_align_files, sim_scale, sim_size, grayscale, verbose, dynamic,
output_2D_landmarks, output_3D_landmarks, output_model_params, output_pose, output_AUs, output_gaze, arguments);
// Used for image masking
string tri_loc;
if(boost::filesystem::exists(path("model/tris_68_full.txt")))
boost::filesystem::path tri_loc_path = boost::filesystem::path("model/tris_68_full.txt");
if (boost::filesystem::exists(tri_loc_path))
{
tri_loc = "model/tris_68_full.txt";
tri_loc = tri_loc_path.string();
}
else if (boost::filesystem::exists(parent_path/tri_loc_path))
{
tri_loc = (parent_path/tri_loc_path).string();
}
else if (boost::filesystem::exists(config_path/tri_loc_path))
{
tri_loc = (config_path/tri_loc_path).string();
}
else
{
path loc = path(arguments[0]).parent_path() / "model/tris_68_full.txt";
tri_loc = loc.string();
if(!exists(loc))
{
cout << "Can't find triangulation files, exiting" << endl;
return 1;
}
}
// If multiple video files are tracked, use this to indicate if we are done
bool done = false;
@ -354,24 +362,24 @@ int main (int argc, char **argv)
au_loc_local = "AU_predictors/AU_all_static.txt";
}
if(boost::filesystem::exists(path(au_loc_local)))
boost::filesystem::path au_loc_path = boost::filesystem::path(au_loc_local);
if (boost::filesystem::exists(au_loc_path))
{
au_loc = au_loc_local;
au_loc = au_loc_path.string();
}
else
else if (boost::filesystem::exists(parent_path/au_loc_path))
{
path loc = path(arguments[0]).parent_path() / au_loc_local;
if(exists(loc))
au_loc = (parent_path/au_loc_path).string();
}
else if (boost::filesystem::exists(config_path/au_loc_path))
{
au_loc = loc.string();
au_loc = (config_path/au_loc_path).string();
}
else
{
cout << "Can't find AU prediction files, exiting" << endl;
return 1;
}
}
// Creating a face analyser that will be used for AU extraction
@ -662,6 +670,9 @@ int main (int argc, char **argv)
captured_image = cv::Mat();
}
}
if (!det_parameters.quiet_mode)
{
// detect key presses
char character_press = cv::waitKey(1);
@ -675,6 +686,7 @@ int main (int argc, char **argv)
{
return(0);
}
}
// Update the frame count
frame_count++;
@ -1113,6 +1125,7 @@ void get_output_feature_params(vector<string> &output_similarity_aligned, vector
}
// Can process images via directories creating a separate output file per directory
void get_image_input_output_params_feats(vector<vector<string> > &input_image_files, bool& as_video, vector<string> &arguments)
{

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86
install.sh Executable file
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@ -0,0 +1,86 @@
#!/bin/bash
#==============================================================================
# Title: install.sh
# Description: Install everything necessary for OpenFace to compile.
# Author: Daniyal Shahrokhian <daniyal@kth.se>
# Date: 20170310
# Version : 1.0
# Usage: bash install.sh <directory in which you want the project to be installed>
# NOTES: There are certain steps to be taken in the system before installing
# via this script (refer to README): Run
# `sudo gedit /etc/apt/sources.list` and change the line
# `deb http://us.archive.ubuntu.com/ubuntu/ xenial main restricted` to
# `deb http://us.archive.ubuntu.com/ubuntu/ xenial main universe`
#==============================================================================
# Exit script if any command fails
set -e
set -o pipefail
if [ $# -ne 1 ]
then
echo "Usage: install.sh <directory in which you want the project to be installed>"
exit 1
fi
DIRECTORY="$1"
cd "$DIRECTORY"
echo "Installation under ${DIRECTORY}"
# Essential Dependencies
echo "Installing Essential dependencies..."
sudo apt-get update
sudo apt-get install build-essential
sudo apt-get install llvm
sudo apt-get update
sudo apt-get install clang-3.7 libc++-dev libc++abi-dev
sudo apt-get install cmake
sudo apt-get install libopenblas-dev liblapack-dev
sudo apt-get install git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev checkinstall
echo "Essential dependencies installed."
# OpenCV Dependency
echo "Downloading OpenCV..."
if [ -d "opencv-3.1.0" ]; then
sudo rm -r "opencv-3.1.0"
fi
wget https://github.com/Itseez/opencv/archive/3.1.0.zip
unzip 3.1.0.zip
rm 3.1.0.zip
cd opencv-3.1.0
mkdir build
cd build
echo "Installing OpenCV..."
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D BUILD_SHARED_LIBS=OFF ..
make -j4
sudo make install
cd "../.."
echo "OpenCV installed."
# Boost C++ Dependency
echo "Installing Boost..."
sudo apt-get install libboost-all-dev
echo "Boost installed."
# OpenFace installation
echo "Downloading OpenFace..."
if [ -d "OpenFace" ]; then
sudo rm -r "OpenFace"
fi
git clone https://github.com/TadasBaltrusaitis/OpenFace.git
cd OpenFace
mkdir build
cd build
echo "Installing OpenFace..."
cmake -D CMAKE_BUILD_TYPE=RELEASE ..
make
echo "OpenFace installed."
# Installation test
echo "Testing installation..."
./bin/FaceLandmarkVid -f "../videos/changeLighting.wmv"
echo "Installation tested."

4
lib/local/FaceAnalyser/CMakeLists.txt
View file

@ -29,5 +29,5 @@ include_directories(../LandmarkDetector/include)
add_library( FaceAnalyser ${SOURCE} ${HEADERS})
install (TARGETS FaceAnalyser DESTINATION bin)
install (FILES ${HEADERS} DESTINATION include)
install (TARGETS FaceAnalyser DESTINATION lib)
install (FILES ${HEADERS} DESTINATION include/OpenFace)

24
lib/local/FaceAnalyser/src/Face_utils.cpp
View file

@ -221,19 +221,19 @@ namespace FaceAnalysis
destination_landmarks.col(1) = destination_landmarks.col(1) + warp_matrix(1,2);
// Move the eyebrows up to include more of upper face
destination_landmarks.at<double>(0,1) -= 30;
destination_landmarks.at<double>(16,1) -= 30;
destination_landmarks.at<double>(0,1) -= (30/0.7)*sim_scale;
destination_landmarks.at<double>(16,1) -= (30 / 0.7)*sim_scale;
destination_landmarks.at<double>(17,1) -= 30;
destination_landmarks.at<double>(18,1) -= 30;
destination_landmarks.at<double>(19,1) -= 30;
destination_landmarks.at<double>(20,1) -= 30;
destination_landmarks.at<double>(21,1) -= 30;
destination_landmarks.at<double>(22,1) -= 30;
destination_landmarks.at<double>(23,1) -= 30;
destination_landmarks.at<double>(24,1) -= 30;
destination_landmarks.at<double>(25,1) -= 30;
destination_landmarks.at<double>(26,1) -= 30;
destination_landmarks.at<double>(17,1) -= (30 / 0.7)*sim_scale;
destination_landmarks.at<double>(18,1) -= (30 / 0.7)*sim_scale;
destination_landmarks.at<double>(19,1) -= (30 / 0.7)*sim_scale;
destination_landmarks.at<double>(20,1) -= (30 / 0.7)*sim_scale;
destination_landmarks.at<double>(21,1) -= (30 / 0.7)*sim_scale;
destination_landmarks.at<double>(22,1) -= (30 / 0.7)*sim_scale;
destination_landmarks.at<double>(23,1) -= (30 / 0.7)*sim_scale;
destination_landmarks.at<double>(24,1) -= (30 / 0.7)*sim_scale;
destination_landmarks.at<double>(25,1) -= (30 / 0.7)*sim_scale;
destination_landmarks.at<double>(26,1) -= (30 / 0.7)*sim_scale;
destination_landmarks = cv::Mat(destination_landmarks.t()).reshape(1, 1).t();

4
lib/local/LandmarkDetector/CMakeLists.txt
View file

@ -37,5 +37,5 @@ include_directories(${LandmarkDetector_SOURCE_DIR}/include)
add_library( LandmarkDetector ${SOURCE} ${HEADERS} )
install (TARGETS LandmarkDetector DESTINATION bin)
install (FILES ${HEADERS} DESTINATION include)
install (TARGETS LandmarkDetector DESTINATION lib)
install (FILES ${HEADERS} DESTINATION include/OpenFace)

18
lib/local/LandmarkDetector/include/LandmarkDetectorModel.h
View file

@ -2,7 +2,7 @@
// Copyright (C) 2016, Carnegie Mellon University and University of Cambridge,
// all rights reserved.
//
// THIS SOFTWARE IS PROVIDED “AS IS” FOR ACADEMIC USE ONLY AND ANY EXPRESS
// THIS SOFTWARE IS PROVIDED “AS IS” FOR ACADEMIC USE ONLY AND ANY EXPRESS
// OR IMPLIED WARRANTIES WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
// THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS
@ -15,13 +15,13 @@
// POSSIBILITY OF SUCH DAMAGE.
//
// Notwithstanding the license granted herein, Licensee acknowledges that certain components
// of the Software may be covered by so-called “open source” software licenses (“Open Source
// Components”), which means any software licenses approved as open source licenses by the
// of the Software may be covered by so-called “open source” software licenses (“Open Source
// Components”), which means any software licenses approved as open source licenses by the
// Open Source Initiative or any substantially similar licenses, including without limitation any
// license that, as a condition of distribution of the software licensed under such license,
// requires that the distributor make the software available in source code format. Licensor shall
// provide a list of Open Source Components for a particular version of the Software upon
// Licensee’s request. Licensee will comply with the applicable terms of such licenses and to
// Licensee’s request. Licensee will comply with the applicable terms of such licenses and to
// the extent required by the licenses covering Open Source Components, the terms of such
// licenses will apply in lieu of the terms of this Agreement. To the extent the terms of the
// licenses applicable to Open Source Components prohibit any of the restrictions in this
@ -38,20 +38,20 @@
// reports and manuals, must cite at least one of the following works:
//
// OpenFace: an open source facial behavior analysis toolkit
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
// in IEEE Winter Conference on Applications of Computer Vision, 2016
//
// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
// in IEEE International. Conference on Computer Vision (ICCV), 2015
//
// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
// in Facial Expression Recognition and Analysis Challenge,
// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
//
// Constrained Local Neural Fields for robust facial landmark detection in the wild.
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
//
///////////////////////////////////////////////////////////////////////////////
@ -130,7 +130,7 @@ public:
double detection_certainty;
// Indicator if eye model is there for eye detection
bool eye_model = false;
bool eye_model;
// the triangulation per each view (for drawing purposes only)
vector<cv::Mat_<int> > triangulations;

2
lib/local/LandmarkDetector/src/LandmarkDetectorFunc.cpp
View file

@ -408,7 +408,7 @@ bool LandmarkDetector::DetectLandmarksInVideo(const cv::Mat_<uchar> &grayscale_i
bool LandmarkDetector::DetectLandmarksInVideo(const cv::Mat_<uchar> &grayscale_image, const cv::Rect_<double> bounding_box, CLNF& clnf_model, FaceModelParameters& params)
{
return DetectLandmarksInVideo(grayscale_image, cv::Mat_<float>(), clnf_model, params);
return DetectLandmarksInVideo(grayscale_image, cv::Mat_<float>(), bounding_box, clnf_model, params);
}
//================================================================================================================

20
lib/local/LandmarkDetector/src/LandmarkDetectorModel.cpp
View file

@ -2,7 +2,7 @@
// Copyright (C) 2016, Carnegie Mellon University and University of Cambridge,
// all rights reserved.
//
// THIS SOFTWARE IS PROVIDED “AS IS” FOR ACADEMIC USE ONLY AND ANY EXPRESS
// THIS SOFTWARE IS PROVIDED “AS IS” FOR ACADEMIC USE ONLY AND ANY EXPRESS
// OR IMPLIED WARRANTIES WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
// THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS
@ -15,13 +15,13 @@
// POSSIBILITY OF SUCH DAMAGE.
//
// Notwithstanding the license granted herein, Licensee acknowledges that certain components
// of the Software may be covered by so-called “open source” software licenses (“Open Source
// Components”), which means any software licenses approved as open source licenses by the
// of the Software may be covered by so-called “open source” software licenses (“Open Source
// Components”), which means any software licenses approved as open source licenses by the
// Open Source Initiative or any substantially similar licenses, including without limitation any
// license that, as a condition of distribution of the software licensed under such license,
// requires that the distributor make the software available in source code format. Licensor shall
// provide a list of Open Source Components for a particular version of the Software upon
// Licensee’s request. Licensee will comply with the applicable terms of such licenses and to
// Licensee’s request. Licensee will comply with the applicable terms of such licenses and to
// the extent required by the licenses covering Open Source Components, the terms of such
// licenses will apply in lieu of the terms of this Agreement. To the extent the terms of the
// licenses applicable to Open Source Components prohibit any of the restrictions in this
@ -38,20 +38,20 @@
// reports and manuals, must cite at least one of the following works:
//
// OpenFace: an open source facial behavior analysis toolkit
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
// in IEEE Winter Conference on Applications of Computer Vision, 2016
//
// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
// in IEEE International. Conference on Computer Vision (ICCV), 2015
//
// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
// in Facial Expression Recognition and Analysis Challenge,
// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
//
// Constrained Local Neural Fields for robust facial landmark detection in the wild.
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
//
///////////////////////////////////////////////////////////////////////////////
@ -378,6 +378,9 @@ void CLNF::Read(string main_location)
detect_Z_max = -1;
detect_ROI = cv::Rect_<double>(0, 0, 1, 1);
// Assume no eye model, unless read-in
eye_model = false;
// The main file contains the references to other files
while (!locations.eof())
{
@ -399,6 +402,7 @@ void CLNF::Read(string main_location)
location = location.substr(0, location.size()-1);
}
// append to root
location = (root / location).string();
if (module.compare("LandmarkDetector") == 0)

25
lib/local/LandmarkDetector/src/LandmarkDetectorParameters.cpp
View file

@ -67,6 +67,11 @@
// System includes
#include <sstream>
#include <iostream>
#include <cstdlib>
#ifndef CONFIG_DIR
#define CONFIG_DIR "~"
#endif
using namespace std;
@ -200,17 +205,27 @@ FaceModelParameters::FaceModelParameters(vector<string> &arguments)
}
// Make sure model_location is valid
if (!boost::filesystem::exists(boost::filesystem::path(model_location)))
// First check working directory, then the executable's directory, then the config path set by the build process.
boost::filesystem::path config_path = boost::filesystem::path(CONFIG_DIR);
boost::filesystem::path model_path = boost::filesystem::path(model_location);
if (boost::filesystem::exists(model_path))
{
model_location = (root / model_location).string();
if (!boost::filesystem::exists(boost::filesystem::path(model_location)))
model_location = model_path.string();
}
else if (boost::filesystem::exists(root/model_path))
{
model_location = (root/model_path).string();
}
else if (boost::filesystem::exists(config_path/model_path))
{
model_location = (config_path/model_path).string();
}
else
{
std::cout << "Could not find the landmark detection model to load" << std::endl;
}
}
}
void FaceModelParameters::init()
{

181
matlab_runners/Action Unit Experiments/helpers/ParseSEMAINEAnnotations.m Normal file
View file

@ -0,0 +1,181 @@
% Function ParseSEMAINEAnnotations is intended to demonstrate example usage
% of SEMAINE Action Unit annotations made with ELAN annotation toolbox.
% This function loads the XML structure from an ELAN annotation file with
% ".eaf" extension, parses it and returns a numerical matrix called
% "activations" of size NUMBER OF FRAMES X NUMBER OF ACTION UNITS. The
% matrix holds binary activation status for each frame / AU combination.
% The matrix also has a row header showing which AU corresponds to which
% row as well as a column header displaying original frame indexes.
% The function takes 1 compulsory and 2 optional arguments:
% - "filepath" (compulsory) - complete path to an annotation file to parse.
% For example, "/matlab/annotation.eaf" or "C:\matlab\annotation.eaf" on
% Windows.
% - "startFrame" (optional) - ignore all annotations before "startFrame".
% Default is 1.
% - "endFrame" (optional) - ignore all annotations after "endFrame".
% Default is the last frame of a video.
% The function requires XML IO Toolbox
% (http://www.mathworks.com/matlabcentral/fileexchange/12907-xml-io-tools)
% to run properly (supplied).
function activations = ParseSEMAINEAnnotations (filepath, startFrame, endFrame)
activations = [];
% Framerate value used to convert ELAN millisecond time slots to more
% usual frames. 50 is a valid framerate for all SEMAINE videos.
framerate = 50;
% A fixed set of 6 Action Units selected for the challenge from the
% SEMAINE annotations
aus = [2 12 17 25 28 45];
% Total number of AUs.
naus = length(aus);
% Load XML structure from the file, return in case of a problem.
[success, XML] = OpenXML(filepath);
if ~success
return
end
% Parse annotation time slots
tslots = ParseTimeSlots(XML);
% Init start and end frames with default values
if nargin < 2
startFrame = 1;
end
if nargin < 3
% Get total number of time slots
ntslots = length(tslots);
% Get last slot ID
lastID = strcat('ts', num2str(ntslots));
% Get last time slot value in ms
lastValue = tslots(lastID);
% Convert last time slot value in ms to frames
endFrame = floor((lastValue / 1000) * framerate);
end
% Get total number of tiers. There are 65 of them, 1 for speech, 32 for
% activations (1 per AU) and 32 for intensities. We are going to ignore
% intensity tiers.
ntiers = length(XML.TIER);
% Compose vector of frame indexes to extract annotations from
frames = (startFrame:endFrame);
% Preallocate activations matrix
activations = zeros(length(frames), naus);
indx = 1;
% Go through all tiers skipping the first one (speech) as well as every
% intensity tier. A single activation tier is processed at every
% iteration.
for k = 2:2:ntiers
tier = XML.TIER(k);
% Only extract annotations of selected AUs, skip the rest
au = strcat('AU', num2str(aus(indx)));
if strcmp(au, tier.ATTRIBUTE.TIER_ID)
% Read all activation periods from the current tier
activationTier = ParseActivationTier(tier, tslots);
% Convert of all activation periods into frame level numerical
% representation
activations(:, indx) = ParseOccurrences(activationTier, frames, framerate);
indx = indx + 1;
end
if indx > naus
break
end
end
activations = [frames' activations];
activations = [[0 aus]; activations];
end
function occurrences = ParseOccurrences (activations, frames, framerate)
% Preallocate activations vector
occurrences = zeros(length(frames), 1);
% Go through all activation periods, convert ms into frames and init
% corresponding values of activations vector with 1 leaving the rest be 0
for i = 1:length(activations)
% Convert ms into frames
sframe = floor((activations(i).start / 1000) * framerate);
eframe = floor((activations(i).end / 1000) * framerate);
% Determine indexes of frames vector corresponding to the above
% time frame
sindx = find(frames == sframe);
eindx = find(frames == eframe);
% Mark active set of frames with 1
occurrences(sindx:eindx) = 1;
end
end
function activationTier = ParseActivationTier (tier, tslots)
% Get total number of activation periods
nactivations = length(tier.ANNOTATION);
% Preallocate activation tier structure holding start and end time
% stamps of all activation periods for the given AU
activationTier = repmat(struct('start', 0, 'end', 0), nactivations, 1);
% Go through all activation periods and init activation tier
% structure array
for i = 1:nactivations
% Read start time slot ID of the current activation period
t = tier.ANNOTATION(i).ALIGNABLE_ANNOTATION.ATTRIBUTE.TIME_SLOT_REF1;
% Read time in ms corresponding to the time slot ID
activationTier(i).start = tslots(t);
% Read end time slot ID of the current activation period
t = tier.ANNOTATION(i).ALIGNABLE_ANNOTATION.ATTRIBUTE.TIME_SLOT_REF2;
% Read time in ms corresponding to the time slot ID
activationTier(i).end = tslots(t);
end
end
function tslots = ParseTimeSlots (xmlObject)
% Get total number of time slots
nslots = length(xmlObject.TIME_ORDER.TIME_SLOT);
% Preallocate cell arrays of time slot IDs and values
tids = cell(nslots, 1);
tvalues = zeros(nslots, 1);
% Read all time slot IDs and numerical values (in ms)
for i = 1:nslots
tids{i} = xmlObject.TIME_ORDER.TIME_SLOT(i).ATTRIBUTE.TIME_SLOT_ID;
tvalues(i) = xmlObject.TIME_ORDER.TIME_SLOT(i).ATTRIBUTE.TIME_VALUE;
end
% Map time slot IDs and values together so that values are accessible
% by their IDs
tslots = containers.Map(tids, tvalues);
end
function [success, xmlObject] = OpenXML (xmlPath)
fprintf(' *** Attempting to load \"%s\" ... ', xmlPath);
xmlObject = [];
success = false;
% Check if the specified file exists and return error otherwise
if exist(xmlPath, 'file')
% Load XML structure
xmlObject = xml_read(xmlPath);
% Check if XML object loaded correctly, return error otherwise
if isempty(xmlObject)
fprintf(' ERROR - unable to read xml tree *** \n');
return
else
success = true;
end
else
fprintf(' ERROR - specified path does not exist *** \n');
return
end
fprintf(' Done *** \n');
end

9
matlab_runners/Action Unit Experiments/helpers/extract_SEMAINE_labels.m
View file

@ -26,14 +26,9 @@ function [ labels, valid_ids, vid_ids ] = extract_SEMAINE_labels( SEMAINE_dir,
xml_file = [SEMAINE_dir, recs{i}, '\' file.name];
[root_xml, name_xml, ~] = fileparts(xml_file);
m_file = [root_xml, name_xml, '.mat'];
if(~exist(m_file, 'file'))
activations = ParseSEMAINEAnnotations([SEMAINE_dir, recs{i}, '\' file.name]);
save(m_file, 'activations');
else
load(m_file);
end
activations = ParseSEMAINEAnnotations([SEMAINE_dir, recs{i}, '/' file.name]);
if(size(activations,1) < vid_ids(i,2))
vid_ids(i,2) = size(activations,1);
if(vid_ids(i,2) > 2999)

3
matlab_runners/Action Unit Experiments/helpers/find_FERA2011.m
View file

@ -1,6 +1,7 @@
if(exist('D:\Datasets\fera/au_training', 'file'))
FERA2011_dir = 'D:\Datasets\fera/au_training/';
hog_data_dir = 'D:\Datasets\face_datasets\hog_aligned_rigid/';
elseif(exist('/multicomp/datasets/fera2011/', 'file'))
FERA2011_dir = '/multicomp/datasets/fera2011/au_training/';
else
fprintf('FERA2011 location not found (or not defined)\n');
end

4
matlab_runners/Action Unit Experiments/helpers/find_SEMAINE.m
View file

@ -10,8 +10,10 @@ elseif(exist('D:\Datasets\FERA_2015\semaine\SEMAINE-Sessions/', 'file'))
SEMAINE_dir = 'D:\Datasets\FERA_2015\semaine\SEMAINE-Sessions/';
elseif(exist('D:/fera_2015/semaine/SEMAINE-Sessions/', 'file'))
SEMAINE_dir = 'D:/fera_2015/semaine/SEMAINE-Sessions/';
elseif(exist('/multicomp/datasets/face_datasets/FERA_2015/Semaine/SEMAINE-Sessions/', 'file'))
SEMAINE_dir = '/multicomp/datasets/face_datasets/FERA_2015/Semaine/SEMAINE-Sessions/';
else
fprintf('DISFA location not found (or not defined)\n');
fprintf('SEMAINE location not found (or not defined)\n');
end
if(exist('SEMAINE_dir', 'var'))

117
matlab_runners/Action Unit Experiments/helpers/xml_io_tools_2010_11_05/base64decode.m Normal file
View file

@ -0,0 +1,117 @@
function y = base64decode(x, outfname, alg)
%BASE64DECODE Perform base64 decoding on a string.
%
% INPUT:
% x - block of data to be decoded. Can be a string or a numeric
% vector containing integers in the range 0-255. Any character
% not part of the 65-character base64 subset set is silently
% ignored. Characters occuring after a '=' padding character are
% never decoded. If the length of the string to decode (after
% ignoring non-base64 chars) is not a multiple of 4, then a
% warning is generated.
%
% outfname - if provided the binary date from decoded string will be
% saved into a file. Since Base64 coding is often used to embbed
% binary data in xml files, this option can be used to extract and
% save them.
%
% alg - Algorithm to use: can take values 'java' or 'matlab'. Optional
% variable defaulting to 'java' which is a little faster. If
% 'java' is chosen than core of the code is performed by a call to
% a java library. Optionally all operations can be performed using
% matleb code.
%
% OUTPUT:
% y - array of binary data returned as uint8
%
% This function is used to decode strings from the Base64 encoding specified
% in RFC 2045 - MIME (Multipurpose Internet Mail Extensions). The Base64
% encoding is designed to represent arbitrary sequences of octets in a form
% that need not be humanly readable. A 65-character subset ([A-Za-z0-9+/=])
% of US-ASCII is used, enabling 6 bits to be represented per printable
% character.
%
% See also BASE64ENCODE.
%
% Written by Jarek Tuszynski, SAIC, jaroslaw.w.tuszynski_at_saic.com
%
% Matlab version based on 2004 code by Peter J. Acklam
% E-mail: pjacklam@online.no
% URL: http://home.online.no/~pjacklam
% http://home.online.no/~pjacklam/matlab/software/util/datautil/base64encode.m
if nargin<3, alg='java'; end
if nargin<2, outfname=''; end
%% if x happen to be a filename than read the file
if (numel(x)<256)
if (exist(x, 'file')==2)
fid = fopen(x,'rb');
x = fread(fid, 'uint8');
fclose(fid);
end
end
x = uint8(x(:)); % unify format
%% Perform conversion
switch (alg)
case 'java'
base64 = org.apache.commons.codec.binary.Base64;
y = base64.decode(x);
y = mod(int16(y),256); % convert from int8 to uint8
case 'matlab'
%% Perform the mapping
% A-Z -> 0 - 25
% a-z -> 26 - 51
% 0-9 -> 52 - 61
% + - -> 62 '-' is URL_SAFE alternative
% / _ -> 63 '_' is URL_SAFE alternative
map = uint8(zeros(1,256)+65);
map(uint8(['A':'Z', 'a':'z', '0':'9', '+/=']))= 0:64;
map(uint8('-_'))= 62:63; % URL_SAFE alternatives
x = map(x); % mapping
x(x>64)=[]; % remove non-base64 chars
if rem(numel(x), 4)
warning('Length of base64 data not a multiple of 4; padding input.');
end
x(x==64)=[]; % remove padding characters
%% add padding and reshape
nebytes = length(x); % number of encoded bytes
nchunks = ceil(nebytes/4); % number of chunks/groups
if rem(nebytes, 4)>0
x(end+1 : 4*nchunks) = 0; % add padding
end
x = reshape(uint8(x), 4, nchunks);
y = repmat(uint8(0), 3, nchunks); % for the decoded data
%% Rearrange every 4 bytes into 3 bytes
% 00aaaaaa 00bbbbbb 00cccccc 00dddddd
% to form
% aaaaaabb bbbbcccc ccdddddd
y(1,:) = bitshift(x(1,:), 2); % 6 highest bits of y(1,:)
y(1,:) = bitor(y(1,:), bitshift(x(2,:), -4)); % 2 lowest bits of y(1,:)
y(2,:) = bitshift(x(2,:), 4); % 4 highest bits of y(2,:)
y(2,:) = bitor(y(2,:), bitshift(x(3,:), -2)); % 4 lowest bits of y(2,:)
y(3,:) = bitshift(x(3,:), 6); % 2 highest bits of y(3,:)
y(3,:) = bitor(y(3,:), x(4,:)); % 6 lowest bits of y(3,:)
%% remove extra padding
switch rem(nebytes, 4)
case 2
y = y(1:end-2);
case 3
y = y(1:end-1);
end
end
%% reshape to a row vector and make it a character array
y = uint8(reshape(y, 1, numel(y)));
%% save to file if needed
if ~isempty(outfname)
fid = fopen(outfname,'wb');
fwrite(fid, y, 'uint8');
fclose(fid);
end

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function y = base64encode(x, alg, isChunked, url_safe)
%BASE64ENCODE Perform base64 encoding on a string.
% INPUT:
% x - block of data to be encoded. Can be a string or a numeric
% vector containing integers in the range 0-255.
% alg - Algorithm to use: can take values 'java' or 'matlab'. Optional
% variable defaulting to 'java' which is a little faster. If
% 'java' is chosen than core of the code is performed by a call to
% a java library. Optionally all operations can be performed using
% matleb code.
% isChunked - encode output into 76 character blocks. The returned
% encoded string is broken into lines of no more than
% 76 characters each, and each line will end with EOL. Notice that
% if resulting string is saved as part of an xml file, those EOL's
% are often stripped by xmlwrite funtrion prior to saving.
% url_safe - use Modified Base64 for URL applications ('base64url'
% encoding) "Base64 alphabet" ([A-Za-z0-9-_=]).
%
%
% OUTPUT:
% y - character array using only "Base64 alphabet" characters
%
% This function may be used to encode strings into the Base64 encoding
% specified in RFC 2045 - MIME (Multipurpose Internet Mail Extensions).
% The Base64 encoding is designed to represent arbitrary sequences of
% octets in a form that need not be humanly readable. A 65-character
% subset ([A-Za-z0-9+/=]) of US-ASCII is used, enabling 6 bits to be
% represented per printable character.
%
% See also BASE64DECODE.
%
% Written by Jarek Tuszynski, SAIC, jaroslaw.w.tuszynski_at_saic.com
%
% Matlab version based on 2004 code by Peter J. Acklam
% E-mail: pjacklam@online.no
% URL: http://home.online.no/~pjacklam
% http://home.online.no/~pjacklam/matlab/software/util/datautil/base64encode.m
if nargin<2, alg='java'; end
if nargin<3, isChunked=false; end
if ~islogical(isChunked)
if isnumeric(isChunked)
isChunked=(isChunked>0);
else
isChunked=false;
end
end
if nargin<4, url_safe=false; end
if ~islogical(url_safe)
if isnumeric(url_safe)
url_safe=(url_safe>0);
else
url_safe=false;
end
end
%% if x happen to be a filename than read the file
if (numel(x)<256)
if (exist(x, 'file')==2)
fid = fopen(x,'rb');
x = fread(fid, 'uint8'); % read image file as a raw binary
fclose(fid);
end
end
%% Perform conversion
switch (alg)
case 'java'
base64 = org.apache.commons.codec.binary.Base64;
y = base64.encodeBase64(x, isChunked);
if url_safe
y = strrep(y,'=','-');
y = strrep(y,'/','_');
end
case 'matlab'
%% add padding if necessary, to make the length of x a multiple of 3
x = uint8(x(:));
ndbytes = length(x); % number of decoded bytes
nchunks = ceil(ndbytes / 3); % number of chunks/groups
if rem(ndbytes, 3)>0
x(end+1 : 3*nchunks) = 0; % add padding
end
x = reshape(x, [3, nchunks]); % reshape the data
y = repmat(uint8(0), 4, nchunks); % for the encoded data
%% Split up every 3 bytes into 4 pieces
% aaaaaabb bbbbcccc ccdddddd
% to form
% 00aaaaaa 00bbbbbb 00cccccc 00dddddd
y(1,:) = bitshift(x(1,:), -2); % 6 highest bits of x(1,:)
y(2,:) = bitshift(bitand(x(1,:), 3), 4); % 2 lowest bits of x(1,:)
y(2,:) = bitor(y(2,:), bitshift(x(2,:), -4)); % 4 highest bits of x(2,:)
y(3,:) = bitshift(bitand(x(2,:), 15), 2); % 4 lowest bits of x(2,:)
y(3,:) = bitor(y(3,:), bitshift(x(3,:), -6)); % 2 highest bits of x(3,:)
y(4,:) = bitand(x(3,:), 63); % 6 lowest bits of x(3,:)
%% Perform the mapping
% 0 - 25 -> A-Z
% 26 - 51 -> a-z
% 52 - 61 -> 0-9
% 62 -> +
% 63 -> /
map = ['A':'Z', 'a':'z', '0':'9', '+/'];
if (url_safe), map(63:64)='-_'; end
y = map(y(:)+1);
%% Add padding if necessary.
npbytes = 3 * nchunks - ndbytes; % number of padding bytes
if npbytes>0
y(end-npbytes+1 : end) = '='; % '=' is used for padding
end
%% break into lines with length LineLength
if (isChunked)
eol = sprintf('\n');
nebytes = numel(y);
nlines = ceil(nebytes / 76); % number of lines
neolbytes = length(eol); % number of bytes in eol string
% pad data so it becomes a multiple of 76 elements
y(nebytes + 1 : 76 * nlines) = 0;
y = reshape(y, 76, nlines);
% insert eol strings
y(end + 1 : end + neolbytes, :) = eol(:, ones(1, nlines));
% remove padding, but keep the last eol string
m = nebytes + neolbytes * (nlines - 1);
n = (76+neolbytes)*nlines - neolbytes;
y(m+1 : n) = [];
end
end
%% reshape to a row vector and make it a character array
y = char(reshape(y, 1, numel(y)));

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function gen_object_display( obj_struct,indent )
%
% gen_object_display - general function to display an object's content
%
% format: gen_object_display( obj_struct,indent )
%
% input: obj_struct - a copy of the object stored inside a structure
% indent - amount of "indent" when printing to the screen
%
% output: to the screen
%
% example: gen_object_display( struct( my_object_handle) );
% gen_object_display( ny_structure );
%
% Correction History:
% 2006-11-01 - Jarek Tuszynski - added support for struct arrays
%% handle insufficient input
if ( nargin == 0 )
help gen_object_display;
return;
elseif (nargin == 1)
indent = 1;
end
%% check input for errors
% if ~isstruct( obj_struct )
% fprintf( '\n\n\tMake sure that ''obj_struct'' is a struct type\n' );
% return
% end
% if (iscell( obj_struct ))
% for i =1:length(obj_struct)
% gen_object_display( obj_struct{i},indent + 2 );
% end
% return
% end
if ~isstruct( obj_struct )
space = sprintf( sprintf( '%%%ds',indent ),' ' );
fprintf( ' %s', space);
disp(obj_struct);
return
end
% find the longest name
field_list = fieldnames( obj_struct );
max_strlen = 0;
for idx = 1:length( field_list )
max_strlen = max( max_strlen,length(field_list{idx}) );
end
%% setup the display format (spacing)
space = sprintf( sprintf( '%%%ds',indent ),' ' );
name_format = sprintf( ' %s%%%ds: ', space, max_strlen );
name_format2= sprintf( ' %s%%%ds', space, max_strlen );
max_displen = 110 - max_strlen - indent;
%% display each field, if it is not too long
for iItem = 1:length( obj_struct ) % loop added by JT
for idx = 1:length( field_list )
% prepare field name to be displayed
name = sprintf( name_format,field_list{idx} );
%temp = getfield( obj_struct,field_list{idx} ); % original by OG
temp = obj_struct(iItem).(field_list{idx}); % modification by JT
% proceed according the variable's type
switch (1)
case islogical( temp ), % case added by JT
if isscalar(temp)
if (temp)
fprintf( '%strue\n',name );
else
fprintf( '%sfalse\n',name );
end
else
fprintf( '%s[%dx%d logical]\n',name,size(temp,1),size(temp,2) );
end
case ischar( temp ),
if (length(temp)<max_displen )
fprintf( '%s''%s''\n',name,temp' );
else
fprintf( '%s[%dx%d char]\n',name,size(temp,1),size(temp,2) );
end
case isnumeric( temp ),
if (size( temp,1 )==1 )
temp_b = num2str( temp );
if (length(temp_b)<max_displen )
fprintf( '%s[%s]\n',name,temp_b );
else
fprintf( '%s[%dx%d double]\n',name,size(temp,1),size(temp,2) );
end
else
fprintf( '%s[%dx%d double]\n',name,size(temp,1),size(temp,2) );
end
case iscell( temp ),
if (numel(temp)<10 && (isvector(temp) || isscalar(temp)))
fprintf( '%s[%dx%d cell] = \n',name,size(temp,1),size(temp,2) );
%disp(temp)
for r =1:numel(temp)
gen_object_display( temp{r},indent + max_strlen + 2 );
fprintf('\n');
end
elseif (numel(temp)<10)
fprintf( '%s[%dx%d cell] = \n',name,size(temp,1),size(temp,2) );
for r =1:size(temp,1)
gen_object_display( temp(r,:),indent + max_strlen + 2 );
end
else
fprintf( '%s[%dx%d cell]\n',name,size(temp,1),size(temp,2) );
end
case isstruct( temp ),
fprintf( '%s[%dx%d struct]\n',name,size(temp,1),size(temp,2) );
if (indent<80)
if (numel(temp)<10 && (isvector(temp) || isscalar(temp)))
gen_object_display( temp,indent + max_strlen + 2 );
elseif (numel(temp)<10)
name2 = sprintf( name_format2,field_list{idx} );
for r =1:size(temp,1)
for c =1:size(temp,2)
fprintf( '%s(%d,%d) =\n',name2,r,c );
gen_object_display( temp(r,c),indent + max_strlen + 3 );
end
end
end
end
case isobject( temp ), fprintf( '%s[inherent object]\n',name );
if (indent<80)
cmd = sprintf( 'display( obj_struct.%s,%d );',field_list{idx},indent + max_strlen + 2 );
eval( cmd );
end
otherwise,
fprintf( '%s',name );
try
fprintf( temp );
catch %#ok<CTCH>
fprintf( '[No method to display type]' );
end
fprintf( '\n' );
end
end
if (length(obj_struct)>1), fprintf('\n'); end % added by JT
end % added by JT

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<?xml version="1.0" encoding="utf-8"?>
<MyTree>
<table border="1">
<tr>
<td>Apples</td>
<td>44%</td>
</tr>
<tr>
<td>Bannanas</td>
<td>23%</td>
</tr>
<tr>
<td>Oranges</td>
<td>13%</td>
</tr>
<tr>
<td>Other</td>
<td>10%</td>
</tr>
</table>
</MyTree>

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Copyright (c) 2007, Jaroslaw Tuszynski
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the distribution
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.

22
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<?xml version="1.0" encoding="utf-8" ?>
<?xml-stylesheet type="text/css" href="foo.css"?>
<!-- This is a Global Comment -->
<aaa xmlns:xsi="http://www.foo.org">
<?ProcInst type="local processing instruction"?>
<!-- local comment 1 -->
bbb
<!-- local comment 2 -->
ccc
<matrix bad-name='fff'>
5e3+2*i, Inf
NaN, pi
</matrix>
<ee_e> ee_e </ee_e>
<ff-f> ff-f </ff-f>
<ggög> ggög </ggög>
<![CDATA[
Here <ddd>xml</ddd> tags are treated as ...
... text
]]>
</aaa>

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function [tree, RootName, DOMnode] = xml_read(xmlfile, Pref)
%XML_READ reads xml files and converts them into Matlab's struct tree.
%
% DESCRIPTION
% tree = xml_read(xmlfile) reads 'xmlfile' into data structure 'tree'
%
% tree = xml_read(xmlfile, Pref) reads 'xmlfile' into data structure 'tree'
% according to your preferences
%
% [tree, RootName, DOMnode] = xml_read(xmlfile) get additional information
% about XML file
%
% INPUT:
% xmlfile URL or filename of xml file to read
% Pref Preferences:
% Pref.ItemName - default 'item' - name of a special tag used to itemize
% cell arrays
% Pref.ReadAttr - default true - allow reading attributes
% Pref.ReadSpec - default true - allow reading special nodes
% Pref.Str2Num - default 'smart' - convert strings that look like numbers
% to numbers. Options: "always", "never", and "smart"
% Pref.KeepNS - default true - keep or strip namespace info
% Pref.NoCells - default true - force output to have no cell arrays
% Pref.Debug - default false - show mode specific error messages
% Pref.NumLevels- default infinity - how many recursive levels are
% allowed. Can be used to speed up the function by prunning the tree.
% Pref.RootOnly - default true - output variable 'tree' corresponds to
% xml file root element, otherwise it correspond to the whole file.
% Pref.CellItem - default 'true' - leave 'item' nodes in cell notation.
% OUTPUT:
% tree tree of structs and/or cell arrays corresponding to xml file
% RootName XML tag name used for root (top level) node.
% Optionally it can be a string cell array storing: Name of
% root node, document "Processing Instructions" data and
% document "comment" string
% DOMnode output of xmlread
%
% DETAILS:
% Function xml_read first calls MATLAB's xmlread function and than
% converts its output ('Document Object Model' tree of Java objects)
% to tree of MATLAB struct's. The output is in format of nested structs
% and cells. In the output data structure field names are based on
% XML tags, except in cases when tags produce illegal variable names.
%
% Several special xml node types result in special tags for fields of
% 'tree' nodes:
% - node.CONTENT - stores data section of the node if other fields are
% present. Usually data section is stored directly in 'node'.
% - node.ATTRIBUTE.name - stores node's attribute called 'name'.
% - node.COMMENT - stores node's comment section (string). For global
% comments see "RootName" output variable.
% - node.CDATA_SECTION - stores node's CDATA section (string).
% - node.PROCESSING_INSTRUCTIONS - stores "processing instruction" child
% node. For global "processing instructions" see "RootName" output variable.
% - other special node types like: document fragment nodes, document type
% nodes, entity nodes, notation nodes and processing instruction nodes
% will be treated like regular nodes
%
% EXAMPLES:
% MyTree=[];
% MyTree.MyNumber = 13;
% MyTree.MyString = 'Hello World';
% xml_write('test.xml', MyTree);
% [tree treeName] = xml_read ('test.xml');
% disp(treeName)
% gen_object_display()
% % See also xml_examples.m
%
% See also:
% xml_write, xmlread, xmlwrite
%
% Written by Jarek Tuszynski, SAIC, jaroslaw.w.tuszynski_at_saic.com
% References:
% - Function inspired by Example 3 found in xmlread function.
% - Output data structures inspired by xml_toolbox structures.
%% default preferences
DPref.TableName = {'tr','td'}; % name of a special tags used to itemize 2D cell arrays
DPref.ItemName = 'item'; % name of a special tag used to itemize 1D cell arrays
DPref.CellItem = false; % leave 'item' nodes in cell notation
DPref.ReadAttr = true; % allow reading attributes
DPref.ReadSpec = true; % allow reading special nodes: comments, CData, etc.
DPref.KeepNS = true; % Keep or strip namespace info
DPref.Str2Num = 'smart';% convert strings that look like numbers to numbers
DPref.NoCells = true; % force output to have no cell arrays
DPref.NumLevels = 1e10; % number of recurence levels
DPref.PreserveSpace = false; % Preserve or delete spaces at the beggining and the end of stings?
RootOnly = true; % return root node with no top level special nodes
Debug = false; % show specific errors (true) or general (false)?
tree = [];
RootName = [];
%% Check Matlab Version
v = ver('MATLAB');
version = str2double(regexp(v.Version, '\d.\d','match','once'));
if (version<7.1)
error('Your MATLAB version is too old. You need version 7.1 or newer.');
end
%% read user preferences
if (nargin>1)
if (isfield(Pref, 'TableName')), DPref.TableName = Pref.TableName; end
if (isfield(Pref, 'ItemName' )), DPref.ItemName = Pref.ItemName; end
if (isfield(Pref, 'CellItem' )), DPref.CellItem = Pref.CellItem; end
if (isfield(Pref, 'Str2Num' )), DPref.Str2Num = Pref.Str2Num ; end
if (isfield(Pref, 'NoCells' )), DPref.NoCells = Pref.NoCells ; end
if (isfield(Pref, 'NumLevels')), DPref.NumLevels = Pref.NumLevels; end
if (isfield(Pref, 'ReadAttr' )), DPref.ReadAttr = Pref.ReadAttr; end
if (isfield(Pref, 'ReadSpec' )), DPref.ReadSpec = Pref.ReadSpec; end
if (isfield(Pref, 'KeepNS' )), DPref.KeepNS = Pref.KeepNS; end
if (isfield(Pref, 'RootOnly' )), RootOnly = Pref.RootOnly; end
if (isfield(Pref, 'Debug' )), Debug = Pref.Debug ; end
if (isfield(Pref, 'PreserveSpace')), DPref.PreserveSpace = Pref.PreserveSpace; end
end
if ischar(DPref.Str2Num), % convert from character description to numbers
DPref.Str2Num = find(strcmpi(DPref.Str2Num, {'never', 'smart', 'always'}))-1;
if isempty(DPref.Str2Num), DPref.Str2Num=1; end % 1-smart by default
end
%% read xml file using Matlab function
if isa(xmlfile, 'org.apache.xerces.dom.DeferredDocumentImpl');
% if xmlfile is a DOMnode than skip the call to xmlread
try
try
DOMnode = xmlfile;
catch ME
error('Invalid DOM node: \n%s.', getReport(ME));
end
catch %#ok<CTCH> catch for mablab versions prior to 7.5
error('Invalid DOM node. \n');
end
else % we assume xmlfile is a filename
if (Debug) % in debuging mode crashes are allowed
DOMnode = xmlread(xmlfile);
else % in normal mode crashes are not allowed
try
try
DOMnode = xmlread(xmlfile);
catch ME
error('Failed to read XML file %s: \n%s',xmlfile, getReport(ME));
end
catch %#ok<CTCH> catch for mablab versions prior to 7.5
error('Failed to read XML file %s\n',xmlfile);
end
end
end
Node = DOMnode.getFirstChild;
%% Find the Root node. Also store data from Global Comment and Processing
% Instruction nodes, if any.
GlobalTextNodes = cell(1,3);
GlobalProcInst = [];
GlobalComment = [];
GlobalDocType = [];
while (~isempty(Node))
if (Node.getNodeType==Node.ELEMENT_NODE)
RootNode=Node;
elseif (Node.getNodeType==Node.PROCESSING_INSTRUCTION_NODE)
data = strtrim(char(Node.getData));
target = strtrim(char(Node.getTarget));
GlobalProcInst = [target, ' ', data];
GlobalTextNodes{2} = GlobalProcInst;
elseif (Node.getNodeType==Node.COMMENT_NODE)
GlobalComment = strtrim(char(Node.getData));
GlobalTextNodes{3} = GlobalComment;
% elseif (Node.getNodeType==Node.DOCUMENT_TYPE_NODE)
% GlobalTextNodes{4} = GlobalDocType;
end
Node = Node.getNextSibling;
end
%% parse xml file through calls to recursive DOMnode2struct function
if (Debug) % in debuging mode crashes are allowed
[tree RootName] = DOMnode2struct(RootNode, DPref, 1);
else % in normal mode crashes are not allowed
try
try
[tree RootName] = DOMnode2struct(RootNode, DPref, 1);
catch ME
error('Unable to parse XML file %s: \n %s.',xmlfile, getReport(ME));
end
catch %#ok<CTCH> catch for mablab versions prior to 7.5
error('Unable to parse XML file %s.',xmlfile);
end
end
%% If there were any Global Text nodes than return them
if (~RootOnly)
if (~isempty(GlobalProcInst) && DPref.ReadSpec)
t.PROCESSING_INSTRUCTION = GlobalProcInst;
end
if (~isempty(GlobalComment) && DPref.ReadSpec)
t.COMMENT = GlobalComment;
end
if (~isempty(GlobalDocType) && DPref.ReadSpec)
t.DOCUMENT_TYPE = GlobalDocType;
end
t.(RootName) = tree;
tree=t;
end
if (~isempty(GlobalTextNodes))
GlobalTextNodes{1} = RootName;
RootName = GlobalTextNodes;
end
%% =======================================================================
% === DOMnode2struct Function ===========================================
% =======================================================================
function [s TagName LeafNode] = DOMnode2struct(node, Pref, level)
%% === Step 1: Get node name and check if it is a leaf node ==============
[TagName LeafNode] = NodeName(node, Pref.KeepNS);
s = []; % initialize output structure
%% === Step 2: Process Leaf Nodes (nodes with no children) ===============
if (LeafNode)
if (LeafNode>1 && ~Pref.ReadSpec), LeafNode=-1; end % tags only so ignore special nodes
if (LeafNode>0) % supported leaf node types
try
try % use try-catch: errors here are often due to VERY large fields (like images) that overflow java memory
s = char(node.getData);
if (isempty(s)), s = ' '; end % make it a string
% for some reason current xmlread 'creates' a lot of empty text
% fields with first chatacter=10 - those will be deleted.
if (~Pref.PreserveSpace || s(1)==10)
if (isspace(s(1)) || isspace(s(end))), s = strtrim(s); end % trim speces is any
end
if (LeafNode==1), s=str2var(s, Pref.Str2Num, 0); end % convert to number(s) if needed
catch ME % catch for mablab versions 7.5 and higher
warning('xml_io_tools:read:LeafRead', ...
'This leaf node could not be read and was ignored. ');
getReport(ME)
end
catch %#ok<CTCH> catch for mablab versions prior to 7.5
warning('xml_io_tools:read:LeafRead', ...
'This leaf node could not be read and was ignored. ');
end
end
if (LeafNode==3) % ProcessingInstructions need special treatment
target = strtrim(char(node.getTarget));
s = [target, ' ', s];
end
return % We are done the rest of the function deals with nodes with children
end
if (level>Pref.NumLevels+1), return; end % if Pref.NumLevels is reached than we are done
%% === Step 3: Process nodes with children ===============================
if (node.hasChildNodes) % children present
Child = node.getChildNodes; % create array of children nodes
nChild = Child.getLength; % number of children
% --- pass 1: how many children with each name -----------------------
f = [];
for iChild = 1:nChild % read in each child
[cname cLeaf] = NodeName(Child.item(iChild-1), Pref.KeepNS);
if (cLeaf<0), continue; end % unsupported leaf node types
if (~isfield(f,cname)),
f.(cname)=0; % initialize first time I see this name
end
f.(cname) = f.(cname)+1; % add to the counter
end % end for iChild
% text_nodes become CONTENT & for some reason current xmlread 'creates' a
% lot of empty text fields so f.CONTENT value should not be trusted
if (isfield(f,'CONTENT') && f.CONTENT>2), f.CONTENT=2; end
% --- pass 2: store all the children as struct of cell arrays ----------
for iChild = 1:nChild % read in each child
[c cname cLeaf] = DOMnode2struct(Child.item(iChild-1), Pref, level+1);
if (cLeaf && isempty(c)) % if empty leaf node than skip
continue; % usually empty text node or one of unhandled node types
elseif (nChild==1 && cLeaf==1)
s=c; % shortcut for a common case
else % if normal node
if (level>Pref.NumLevels), continue; end
n = f.(cname); % how many of them in the array so far?
if (~isfield(s,cname)) % encountered this name for the first time
if (n==1) % if there will be only one of them ...
s.(cname) = c; % than save it in format it came in
else % if there will be many of them ...
s.(cname) = cell(1,n);
s.(cname){1} = c; % than save as cell array
end
f.(cname) = 1; % initialize the counter
else % already have seen this name
s.(cname){n+1} = c; % add to the array
f.(cname) = n+1; % add to the array counter
end
end
end % for iChild
end % end if (node.hasChildNodes)
%% === Step 4: Post-process struct's created for nodes with children =====
if (isstruct(s))
fields = fieldnames(s);
nField = length(fields);
% Detect structure that looks like Html table and store it in cell Matrix
if (nField==1 && strcmpi(fields{1},Pref.TableName{1}))
tr = s.(Pref.TableName{1});
fields2 = fieldnames(tr{1});
if (length(fields2)==1 && strcmpi(fields2{1},Pref.TableName{2}))
% This seems to be a special structure such that for
% Pref.TableName = {'tr','td'} 's' corresponds to
% <tr> <td>M11</td> <td>M12</td> </tr>
% <tr> <td>M12</td> <td>M22</td> </tr>
% Recognize it as encoding for 2D struct
nr = length(tr);
for r = 1:nr
row = tr{r}.(Pref.TableName{2});
Table(r,1:length(row)) = row; %#ok<AGROW>
end
s = Table;
end
end
% --- Post-processing: convert 'struct of cell-arrays' to 'array of structs'
% Example: let say s has 3 fields s.a, s.b & s.c and each field is an
% cell-array with more than one cell-element and all 3 have the same length.
% Then change it to array of structs, each with single cell.
% This way element s.a{1} will be now accessed through s(1).a
vec = zeros(size(fields));
for i=1:nField, vec(i) = f.(fields{i}); end
if (numel(vec)>1 && vec(1)>1 && var(vec)==0) % convert from struct of
s = cell2struct(struct2cell(s), fields, 1); % arrays to array of struct
end % if anyone knows better way to do above conversion please let me know.
end
%% === Step 5: Process nodes with attributes =============================
if (node.hasAttributes && Pref.ReadAttr)
if (~isstruct(s)), % make into struct if is not already
ss.CONTENT=s;
s=ss;
end
Attr = node.getAttributes; % list of all attributes
for iAttr = 1:Attr.getLength % for each attribute
name = char(Attr.item(iAttr-1).getName); % attribute name
name = str2varName(name, Pref.KeepNS); % fix name if needed
value = char(Attr.item(iAttr-1).getValue); % attribute value
value = str2var(value, Pref.Str2Num, 1); % convert to number if possible
s.ATTRIBUTE.(name) = value; % save again
end % end iAttr loop
end % done with attributes
if (~isstruct(s)), return; end %The rest of the code deals with struct's
%% === Post-processing: fields of "s"
% convert 'cell-array of structs' to 'arrays of structs'
fields = fieldnames(s); % get field names
nField = length(fields);
for iItem=1:length(s) % for each struct in the array - usually one
for iField=1:length(fields)
field = fields{iField}; % get field name
% if this is an 'item' field and user want to leave those as cells
% than skip this one
if (strcmpi(field, Pref.ItemName) && Pref.CellItem), continue; end
x = s(iItem).(field);
if (iscell(x) && all(cellfun(@isstruct,x(:))) && numel(x)>1) % it's cell-array of structs
% numel(x)>1 check is to keep 1 cell-arrays created when Pref.CellItem=1
try % this operation fails sometimes
% example: change s(1).a{1}.b='jack'; s(1).a{2}.b='john'; to
% more convinient s(1).a(1).b='jack'; s(1).a(2).b='john';
s(iItem).(field) = [x{:}]'; %#ok<AGROW> % converted to arrays of structs
catch %#ok<CTCH>
% above operation will fail if s(1).a{1} and s(1).a{2} have
% different fields. If desired, function forceCell2Struct can force
% them to the same field structure by adding empty fields.
if (Pref.NoCells)
s(iItem).(field) = forceCell2Struct(x); %#ok<AGROW>
end
end % end catch
end
end
end
%% === Step 4: Post-process struct's created for nodes with children =====
% --- Post-processing: remove special 'item' tags ---------------------
% many xml writes (including xml_write) use a special keyword to mark
% arrays of nodes (see xml_write for examples). The code below converts
% s.item to s.CONTENT
ItemContent = false;
if (isfield(s,Pref.ItemName))
s.CONTENT = s.(Pref.ItemName);
s = rmfield(s,Pref.ItemName);
ItemContent = Pref.CellItem; % if CellItem than keep s.CONTENT as cells
end
% --- Post-processing: clean up CONTENT tags ---------------------
% if s.CONTENT is a cell-array with empty elements at the end than trim
% the length of this cell-array. Also if s.CONTENT is the only field than
% remove .CONTENT part and store it as s.
if (isfield(s,'CONTENT'))
if (iscell(s.CONTENT) && isvector(s.CONTENT))
x = s.CONTENT;
for i=numel(x):-1:1, if ~isempty(x{i}), break; end; end
if (i==1 && ~ItemContent)
s.CONTENT = x{1}; % delete cell structure
else
s.CONTENT = x(1:i); % delete empty cells
end
end
if (nField==1)
if (ItemContent)
ss = s.CONTENT; % only child: remove a level but ensure output is a cell-array
s=[]; s{1}=ss;
else
s = s.CONTENT; % only child: remove a level
end
end
end
%% =======================================================================
% === forceCell2Struct Function =========================================
% =======================================================================
function s = forceCell2Struct(x)
% Convert cell-array of structs, where not all of structs have the same
% fields, to a single array of structs
%% Convert 1D cell array of structs to 2D cell array, where each row
% represents item in original array and each column corresponds to a unique
% field name. Array "AllFields" store fieldnames for each column
AllFields = fieldnames(x{1}); % get field names of the first struct
CellMat = cell(length(x), length(AllFields));
for iItem=1:length(x)
fields = fieldnames(x{iItem}); % get field names of the next struct
for iField=1:length(fields) % inspect all fieldnames and find those
field = fields{iField}; % get field name
col = find(strcmp(field,AllFields),1);
if isempty(col) % no column for such fieldname yet
AllFields = [AllFields; field]; %#ok<AGROW>
col = length(AllFields); % create a new column for it
end
CellMat{iItem,col} = x{iItem}.(field); % store rearanged data
end
end
%% Convert 2D cell array to array of structs
s = cell2struct(CellMat, AllFields, 2);
%% =======================================================================
% === str2var Function ==================================================
% =======================================================================
function val=str2var(str, option, attribute)
% Can this string 'str' be converted to a number? if so than do it.
val = str;
len = numel(str);
if (len==0 || option==0), return; end % Str2Num="never" of empty string -> do not do enything
if (len>10000 && option==1), return; end % Str2Num="smart" and string is very long -> probably base64 encoded binary
digits = '(Inf)|(NaN)|(pi)|[\t\n\d\+\-\*\.ei EI\[\]\;\,]';
s = regexprep(str, digits, ''); % remove all the digits and other allowed characters
if (~all(~isempty(s))) % if nothing left than this is probably a number
if (~isempty(strfind(str, ' '))), option=2; end %if str has white-spaces assume by default that it is not a date string
if (~isempty(strfind(str, '['))), option=2; end % same with brackets
str(strfind(str, '\n')) = ';';% parse data tables into 2D arrays, if any
if (option==1) % the 'smart' option
try % try to convert to a date, like 2007-12-05
datenum(str); % if successful than leave it as string
catch %#ok<CTCH> % if this is not a date than ...
option=2; % ... try converting to a number
end
end
if (option==2)
if (attribute)
num = str2double(str); % try converting to a single number using sscanf function
if isnan(num), return; end % So, it wasn't really a number after all
else
num = str2num(str); %#ok<ST2NM> % try converting to a single number or array using eval function
end
if(isnumeric(num) && numel(num)>0), val=num; end % if convertion to a single was succesful than save
end
elseif ((str(1)=='[' && str(end)==']') || (str(1)=='{' && str(end)=='}')) % this looks like a (cell) array encoded as a string
try
val = eval(str);
catch %#ok<CTCH>
val = str;
end
elseif (~attribute) % see if it is a boolean array with no [] brackets
str1 = lower(str);
str1 = strrep(str1, 'false', '0');
str1 = strrep(str1, 'true' , '1');
s = regexprep(str1, '[01 \;\,]', ''); % remove all 0/1, spaces, commas and semicolons
if (~all(~isempty(s))) % if nothing left than this is probably a boolean array
num = str2num(str1); %#ok<ST2NM>
if(isnumeric(num) && numel(num)>0), val = (num>0); end % if convertion was succesful than save as logical
end
end
%% =======================================================================
% === str2varName Function ==============================================
% =======================================================================
function str = str2varName(str, KeepNS)
% convert a sting to a valid matlab variable name
if(KeepNS)
str = regexprep(str,':','_COLON_', 'once', 'ignorecase');
else
k = strfind(str,':');
if (~isempty(k))
str = str(k+1:end);
end
end
str = regexprep(str,'-','_DASH_' ,'once', 'ignorecase');
if (~isvarname(str)) && (~iskeyword(str))
str = genvarname(str);
end
%% =======================================================================
% === NodeName Function =================================================
% =======================================================================
function [Name LeafNode] = NodeName(node, KeepNS)
% get node name and make sure it is a valid variable name in Matlab.
% also get node type:
% LeafNode=0 - normal element node,
% LeafNode=1 - text node
% LeafNode=2 - supported non-text leaf node,
% LeafNode=3 - supported processing instructions leaf node,
% LeafNode=-1 - unsupported non-text leaf node
switch (node.getNodeType)
case node.ELEMENT_NODE
Name = char(node.getNodeName);% capture name of the node
Name = str2varName(Name, KeepNS); % if Name is not a good variable name - fix it
LeafNode = 0;
case node.TEXT_NODE
Name = 'CONTENT';
LeafNode = 1;
case node.COMMENT_NODE
Name = 'COMMENT';
LeafNode = 2;
case node.CDATA_SECTION_NODE
Name = 'CDATA_SECTION';
LeafNode = 2;
case node.DOCUMENT_TYPE_NODE
Name = 'DOCUMENT_TYPE';
LeafNode = 2;
case node.PROCESSING_INSTRUCTION_NODE
Name = 'PROCESSING_INSTRUCTION';
LeafNode = 3;
otherwise
NodeType = {'ELEMENT','ATTRIBUTE','TEXT','CDATA_SECTION', ...
'ENTITY_REFERENCE', 'ENTITY', 'PROCESSING_INSTRUCTION', 'COMMENT',...
'DOCUMENT', 'DOCUMENT_TYPE', 'DOCUMENT_FRAGMENT', 'NOTATION'};
Name = char(node.getNodeName);% capture name of the node
warning('xml_io_tools:read:unkNode', ...
'Unknown node type encountered: %s_NODE (%s)', NodeType{node.getNodeType}, Name);
LeafNode = -1;
end

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%% Tutorial for xml_io_tools Package
% *By Jarek Tuszynski*
%
% Package xml_io_tools can read XML files into MATLAB struct and writes
% MATLAB data types to XML files with help of simple interface to
% MATLAB's xmlwrite and xmlread functions.
%
% Two function to simplify reading and writing XML files from MATLAB:
%
% * Function xml_read first calls MATLAB's xmlread function and than
% converts its output ('Document Object Model' tree of Java objects)
% to tree of MATLAB struct's. The output is in the format of nested
% structs and cells. In the output data structure field names are based on
% XML tags.
%
% * Function xml_write first convert input tree of MATLAB structs and cells
% and other types to tree of 'Document Object Model' nodes, and then writes
% resulting object to XML file using MATLAB's xmlwrite function. .
%
%% This package can:
% * Read most XML files, created inside and outside of MATLAB environment,
% and convert them to MATLAB data structures.
% * Write any MATLAB's struct tree to XML file
% * Handle XML attributes and special XML nodes like comments, processing
% instructions and CDATA sections
% * Supports base64 encoding and decoding to allow handling embeded binary
% data
% * Be studied, modified, customized, rewritten and used in other packages
% without any limitations. All code is included and documented. Software
% is distributed under BSD Licence (included).
%
%% This package does not:
% * Guarantee to recover the same Matlab objects that were saved. If you
% need to be able to recover carbon copy of the structure that was saved
% than you will have to use one of the packages that uses special set of
% tags saved as xml attributes that help to guide the parsing of XML code.
% This package does not use those tags.
% * Guarantee to work with older versions of MATLAB. Functions do not work
% with versions of MATLAB prior to 7.1 (26-Jul-2005).
%
%% Change History
% * 2006-11-06 - original version
% * 2006-11-26 - corrected xml_write to handle writing Matlab's column
% arrays to xml files. Bug discovered and diagnosed by Kalyan Dutta.
% * 2006-11-28 - made changes to handle special node types like:
% COMMENTS and CDATA sections
% * 2007-03-12 - Writing CDATA sections still did not worked. The problem
% was diagnosed and fixed by Alberto Amaro. The fix involved rewriting
% xmlwrite to use Apache Xerces java files directly instead of MATLAB's
% XMLUtils java class.
% * 2007-06-21 - Fixed problem reported by Anna Kelbert in Reviews about
% not writing attributes of ROOT node. Also: added support for Processing
% Instructions, added support for global text nodes: Processing
% Instructions and comments, allowed writing tag names with special
% characters
% * 2007-07-20 - Added tutorial script file. Extended support for global
% text nodes. Added more Preference fields.
% * 2008-01-23 - Fixed problem reported by Anna Krewet of converting dates
% in format '2007-01-01' to numbers. Improved and added warning messages.
% Added detection of old Matlab versions incompatible with the library.
% Expanded documentation.
% * 2008-06-23 - Fixed problem with writing 1D array reported by Mark Neil.
% Extended xml_read's Pref.Num2Str to 3 settings (never, smart and always)
% for better control. Added parameter Pref.KeepNS for keeping or ignoring
% namespace data when reading. Fixed a bug related to writing 2D cell
% arrays brought up by Andrej's Mosat review.
% * 2008-09-11 - Resubmitting last upload - zip file is still old
% * 2009-02-26 - Small changes. More error handling. More robust in case of
% large binary objects. Added support for Base64 encoding/decoding of
% binary objects (using functions by Peter J. Acklam).
% * 2009-06-26 - changes to xml_read: added CellItem parameter to allow
% better control of reading files with 'item' notation (see comment by
% Shlomi); changed try-catch statements so xml_read would work for mablab
% versions prior to 7.5 (see Thomas Pilutti comment)
% * 2009-12-03 - added PreserveSpace parameter for contolling empty string
% handling as suggested by Sebastiaan. Fix suggested by Michael Murphy.
% Fixed number recognition code as suggested by Yuan Ren.
% * 2010-05-04 - implemented fixes suggested by Dylan Reynolds from Airbus.
% * 2010-07-28 - implemented support for 2D arrays of cells and structs
% suggested by Rodney Behn from MIT Lincoln Laboratory. Also attempted
% large scale cleanup of xml_write function
% * 2010-08-18 - minor extension to allow better handling of logical
% scalars and arrays and function handles suggested by Andreas Richter
% and others
% * 2010-09-20 - allow reading and writing of sparse matrices. Improve
% reading of 1D boolean arrays.
% * 2010-11-05 - Fix problem with empty cells reported by Richard Cotton;
% fixed issues with reading boolean arrays reported by Zohar Bar-Yehuda;
% Improved speed of base64 coding and decoding by switching to java based
% code.
%% Licence
% The package is distributed under BSD License
format compact; % viewing preference
clear variables;
type('license.txt')
%% Write XML file based on a Struct using "xml_write"
% Any MATLAB data struct can be saved to XML file.
MyTree=[];
MyTree.MyNumber = 13;
MyTree.MyString = 'Hello World';
xml_write('test.xml', MyTree);
type('test.xml')
%% Read XML file producing a Struct using "xml_read"
[tree treeName] = xml_read ('test.xml');
disp([treeName{1} ' ='])
gen_object_display(tree)
%% "Pref.XmlEngine" flag in "xml_write"
% Occasionaly some operations are performed better by Apache Xerces XML
% engine than default xmlread function. That is why xml_write provide an
% option for choosing the underlaying xml engine. Code below performs the
% same operation as the previous section but using Apache Xerces XML engine.
% Notice that in this case name of root element
% was passed as variable and not extracted from the variable name.
Pref=[]; Pref.XmlEngine = 'Xerces'; % use Xerces xml generator directly
xml_write('test.xml', MyTree, 'TreeOfMine', Pref);
type('test.xml')
%% Writing Struct with different type MATLAB arrays
MyTree=[];
MyTree.Empty = []; % Empty variable
MyTree.Num_1x1 = 13; % simple scalar
MyTree.Vec_1x3 = [1 2 3]; % horizontal vector
MyTree.Vec_4x1 = [1; 2; 3; 4]; % vertical vector
MyTree.Mat_2x2 = [1, 2; 3, 4]; % 2D matrix
MyTree.Cube_3D = reshape(1:8,[2 2 2]); % 3D array
MyTree.String1 = '[2003 10 30]'; % number string with [] brackets
MyTree.String2 = ' 2003 10 30 '; % number string without [] brackets
MyTree.Logical_1x1 = false; % single logical
MyTree.Logical_2x2 = [false, true; true, false]; % 2D matrix of logicals
MyTree.Logical_Str = 'False False True True';
MyTree.Int_2x2 = uint8([1 2;3 4]); % 2D matrix of uint8 integers
MyTree.Complex_1x1 = complex(1, 7); % complex scalar
MyTree.Complex_2x2 = complex([1 2;3 4],[2 2;7 7]); % 2D matrix of complex numbers
MyTree.Sparse_9x9 = sparse(1:9,1:9,1); % sparse 9x9 matrix
MyTree.Function = @sum; % function handle
xml_write('test.xml', MyTree);
type('test.xml')
%% Read Struct with MATLAB arrays
% Notice that 'Cube_3D' did not preserve original dimentions
[tree treeName] = xml_read ('test.xml');
disp([treeName{1} ' ='])
gen_object_display(tree)
%% "Pref.StructItem" flag in "xml_write" (controls 1D arrays of structs)
% *Create a simple structure with 1D array of struct's*
MyTree = [];
MyTree.a(1).b = 'jack';
MyTree.a(2).b = 'john';
gen_object_display(MyTree)
%%
% *Write XML with "StructItem = true" (default). Notice single 'a'
% section and multiple 'item' sub-sections. Those subsections are used
% to store array elements*
wPref.StructItem = true;
xml_write('test.xml', MyTree, 'MyTree',wPref);
type('test.xml')
fprintf('\nxml_read output:\n')
gen_object_display(xml_read ('test.xml'))
%%
% *Write XML with "StructItem = false". Notice multiple 'a' sections*
wPref.StructItem = false;
xml_write('test.xml', MyTree, 'MyTree',wPref);
type('test.xml')
fprintf('\nxml_read output:\n')
gen_object_display(xml_read ('test.xml'))
%%
% *Notice that xml_read function produced the same struct when reading both files*
%%
% *Potential problems with "StructItem = true":*
wPref.StructItem = true;
MyTree1 = []; MyTree1.a.b = 'jack';
MyTree2 = []; MyTree2.a(1).b = 'jack';
MyTree3 = []; MyTree3.a(2).b = 'jack';
xml_write('test.xml', MyTree1, [], wPref); type('test.xml');
xml_write('test.xml', MyTree2, [], wPref); type('test.xml');
xml_write('test.xml', MyTree3, [], wPref); type('test.xml');
%%
% *Notice that MyTree1 and MyTree2 produce identical files with no 'items',
% while MyTree2 and MyTree3 produce very different file structures. It was
% pointed out to me that files produced from MyTree2 and MyTree3 can not
% belong to the same schema, which can be a problem. The solution is to use
% cells.*
wPref.CellItem = true;
wPref.NoCells = true;
MyTree2 = []; MyTree2.a{1}.b = 'jack';
MyTree3 = []; MyTree3.a{2}.b = 'jack';
xml_write('test.xml', MyTree2, [], wPref); type('test.xml');
xml_write('test.xml', MyTree3, [], wPref); type('test.xml');
%% "Pref.CellItem" flag in "xml_write" (controls 1D arrays of cells)
% *Create a simple structure with cell arrays*
MyTree = [];
MyTree.a = {'jack', 'john'};
disp(MyTree)
%%
% *Write XML with "CellItem = true" (default). Notice single 'a'
% section and multiple 'item' sections*
Pref=[]; Pref.CellItem = true;
xml_write('test.xml', MyTree, 'MyTree',Pref);
type('test.xml')
fprintf('\nxml_read output:\n');
disp(xml_read ('test.xml'))
%%
% *Write XML with "CellItem = false". Notice multiple 'a' sections*
Pref=[]; Pref.CellItem = false;
xml_write('test.xml', MyTree, 'MyTree',Pref);
type('test.xml')
fprintf('\nxml_read output:\n');
disp(xml_read ('test.xml'))
%%
% *Notice that xml_read function produced the same struct when reading both files*
%% "Pref.NoCells" flag in "xml_read"
% *Create a cell/struct mixture object*
MyTree = [];
MyTree.a{1}.b = 'jack';
MyTree.a{2}.b = [];
MyTree.a{2}.c = 'john';
gen_object_display(MyTree);
%%
% *Save it to xml file*
Pref=[]; Pref.CellItem = false;
xml_write('test.xml', MyTree, 'MyTree',Pref);
type('test.xml')
%%
% *Read above file with "Pref.NoCells=true" (default) - output is quite different then input*
% By default program is trying to convert everything to struct's and arrays
% of structs. In case arrays of structs all the structs in array need to have the
% same fields, and if they are not than MATLAB creates empty fields.
Pref=[]; Pref.NoCells=true;
gen_object_display(xml_read('test.xml', Pref))
%%
% *Read above file with "Pref.NoCells=false" - now input and output are the same*
% Cell arrays of structs allow structs in array to have different fields.
Pref=[]; Pref.NoCells=false;
gen_object_display(xml_read('test.xml', Pref))
%% "Pref.ItemName" flag in "xml_write" (customize 1D arrays of structs and cells)
% *Create a cell/struct mixture object*
MyTree = [];
MyTree.a{1}.b = 'jack';
MyTree.a{2}.c = 'john';
gen_object_display(MyTree);
%%
% *Save it to xml file, using 'item' notation but with different name*
Pref=[];
Pref.CellItem = true;
Pref.ItemName = 'MyItem';
xml_write('test.xml', MyTree, 'MyTree',Pref);
type('test.xml')
%% "Pref.ItemName" flag in "xml_read"
% *Read above file with default settings ("Pref.ItemName = 'item'")*
% The results do not match the original structure
Pref=[]; Pref.NoCells = false;
gen_object_display(xml_read('test.xml', Pref))
%%
% *Read above file with "Pref.ItemName = 'MyItem'" - now saved and read
% MATLAB structures are the same*
Pref=[];
Pref.ItemName = 'MyItem';
Pref.NoCells = false;
gen_object_display(xml_read('test.xml', Pref))
%% "Pref.CellItem" flag in "xml_read"
% "Pref.ItemName" is used to create xml files with clearly marked arrays
% "Pref.CellItem" flag in "xml_read" ensures that they are always read as
% arrays by forcing output to stay in cell format. In cell format s{1} is
% different than s, while s(1) is indistinguishable from s.
%%
% *Create a test file*
MyTree = [];
MyTree.a1{1}.b = 'jack'; % a1 - single struct
MyTree.a2{1}.b = 'jack'; % a2 - cell array of structs with the same fields
MyTree.a2{2}.b = 'john';
MyTree.a3{1}.b = 'jack'; % a3 - cell array of structs with the different fields
MyTree.a3{2}.c = 'john';
Pref=[];
Pref.CellItem = true;
Pref.Debug = true;
xml_write('test.xml', MyTree, 'MyTree',Pref);
type('test.xml')
%%
% *Read above file with "Pref.CellItem = true" (default)*
% All outputs are in cell format
Pref=[];
Pref.NoCells = false; % allow cell output
Pref.CellItem = true; % keep 'item' arrays as cells
gen_object_display(xml_read('test.xml', Pref))
%%
% *Read above file with "Pref.CellItem = false"*
% Outputs format is determined by content
Pref=[];
Pref.NoCells = false; % allow cell output
Pref.CellItem = false; % allow 'item' arrays to beheave like other fields
gen_object_display(xml_read('test.xml', Pref))
%%
% *Read above file with "Pref.CellItem = false" and "Pref.NoCells = true"*
% All outputs are in struct format
Pref=[];
Pref.NoCells = true; % don't allow cell output
Pref.CellItem = false; % allow 'item' arrays to beheave like other fields
gen_object_display(xml_read('test.xml', Pref))
%% "Pref.CellTable" flag in "xml_write" (controls 2D arrays of cells)
% *Create a structure with 2D arrays of cells*
MyTree = [];
MyTree.M = {[1,2;3,4], 'M12'; struct('a','jack'), {11, 'N12'; 21, 'N22'}};
gen_object_display(MyTree)
%%
% *Write XML with "CellTable = 'Html" (default). This option mimics use of
% HTML "tr" and "td" tags to encode 2D tables. Tag names can
% be changed using TableName parameter (see below)*
wPref = [];
wPref.CellTable = 'Html';
xml_write('test.xml', MyTree, 'MyTree',wPref);
type('test.xml')
fprintf('\nxml_read output:\n')
rPref=[]; rPref.NoCells=false;
gen_object_display(xml_read('test.xml', rPref))
%%
% *Write XML with "CellTable = 'Vector'".*
% Converts 2D arrays to 1D array and item or regular notation. This option
% is mostly provided for backward compatibility since this was the
% behavior in prior verions of the code
wPref = [];
wPref.CellTable = 'Vector';
xml_write('test.xml', MyTree, 'MyTree',wPref);
type('test.xml')
fprintf('\nxml_read output:\n')
rPref=[]; rPref.NoCells=false;
gen_object_display(xml_read('test.xml', rPref))
%%
% *Create a simpler structure without struct's*
MyTree = [];
MyTree.M = {[1,2;3,4], 'M12'; 'M21', {11, 'N12'; 21, 'N22'}};
gen_object_display(MyTree)
%%
% *Write XML with "CellTable = 'Matlab". This option encodes tables
% consisting of numbers, strings and other cell arrays as MATLAB command
% string. Unlike 'Html' option it does not work if one of the cells is
% a struct*
wPref = [];
wPref.CellTable = 'Matlab';
xml_write('test.xml', MyTree, 'MyTree',wPref);
type('test.xml')
fprintf('\nxml_read output:\n')
rPref=[]; rPref.NoCells=false;
gen_object_display(xml_read('test.xml', rPref))
%% Write 2D cell array in HTML format
MyTree = [];
MyTree.table.ATTRIBUTE.border=1;
MyTree.table.CONTENT = {'Apples', '44%'; 'Bannanas', '23%'; 'Oranges', '13%'; 'Other', '10%'};
xml_write('html/test.html', MyTree);
type('html/test.html')
%%
% Click on <test.html> to opened this file with a web brouwser
%% "Pref.StructTable" flag in "xml_write" (controls 2D arrays of structs)
% *Create a simple structure with arrays of struct's*
MyTree = [];
MyTree.a(1,1).b = 'jack';
MyTree.a(1,2).b = 'john';
MyTree.a(2,1).b = 'jim';
MyTree.a(2,2).b = 'jill';
gen_object_display(MyTree)
%%
% *Write XML with "StructTable = 'Html" (default). This option mimics use of
% HTML "tr" and "td" tags to encode 2D tables. Tag names can
% be changed using TableName parameter (see below)*
wPref = [];
wPref.StructTable = 'Html';
xml_write('test.xml', MyTree, 'MyTree',wPref);
type('test.xml')
fprintf('\nxml_read output:\n')
gen_object_display(xml_read ('test.xml'))
%%
% *Write XML with "CellTable = 'Vector'".*
% Converts 2D arrays to 1D array and item or regular notation. This option
% is mostly provided for backward compatibility since this was the
% behavior in prior verions of the code
wPref = [];
wPref.StructTable = 'Vector';
xml_write('test.xml', MyTree, 'MyTree',wPref);
type('test.xml')
fprintf('\nxml_read output:\n')
gen_object_display(xml_read ('test.xml'))
%% "Pref.TableName" flag in "xml_write" (controls encoding tags used for 2D arrays)
% *Create a cell object*
MyTree = [];
MyTree.M = {[1,2;3,4], 'M12'; 21, {11, 'N12'; 21, 'N22'}};
gen_object_display(MyTree);
%%
% *Save it to xml file, using 'Html' notation but with different names for
% rows and cells*
Pref=[]; Pref.TableName = {'row','cell'};
xml_write('test.xml', MyTree, 'MyTree',Pref);
type('test.xml')
%% "Pref.TableName" flag in "xml_read"
% *Read above file with default settings ("Pref.TableName = {'tr','td'}")*
% The results do not match the original structure
Pref=[]; Pref.NoCells = false;
gen_object_display(xml_read('test.xml', Pref))
%%
% *Read above file with "Pref.TableName = {'row','cell'}" - now saved and read
% MATLAB structures are the same*
Pref=[];
Pref.TableName = {'row','cell'};
Pref.NoCells = false;
gen_object_display(xml_read('test.xml', Pref))
%% "Pref.Str2Num" flag in xml_read (control conversion to numbers while reading)
% *Create a cell/struct mixture object*
MyTree = [];
MyTree.str = 'sphere';
MyTree.num1 = 123;
MyTree.num2 = '123';
MyTree.num3 = '[Inf,NaN]';
MyTree.calc = '1+2+3+4';
MyTree.func = 'sin(pi)/2';
MyTree.String1 = '[2003 10 30]';
MyTree.String2 = '2003 10 30'; % array resembling date
MyTree.ISO8601 = '2003-10-30'; % date in ISO 8601 format
MyTree.US_date = '2003/10/30'; % US style date format
MyTree.complex = '2003i-10e-30'; % complex number resembling a date
gen_object_display(MyTree);
%%
% *Save it to xml file*
xml_write('test.xml', MyTree);
type('test.xml')
%%
% *Read above file with default settings*
% ("Pref.Str2Num = true" or "Pref.Str2Num = 'smart'"). Under this setting all
% strings that look like numbers are converted to numbers, except for
% strings that are recognized by MATLAB 'datenum' function as dates
gen_object_display(xml_read('test.xml'))
%%
% *Note that all the fields of 'MyTree' can be converted to numbers (even
% 'sphere') but by default the function is trying to 'judge' if a string
% should be converted to a number or not*
MyCell = {'sphere','1+2+3+4','sin(pi)/2','2003 10 30','2003-10-30','2003/10/30','2003i-10e-30'};
cellfun(@str2num, MyCell, 'UniformOutput', false)
%%
% *Read above file with "Pref.Str2Num = false" or "Pref.Str2Num = 'never'"
% to keep all the fields in string format*
Pref=[]; Pref.Str2Num = false;
gen_object_display(xml_read('test.xml', Pref))
%%
% *Read above file with "Pref.Str2Num = always"
% to convert all strings that look like numbers to numbers* note the likelly
% unintendet conversion of 'ISO8601'
Pref=[]; Pref.Str2Num = 'always';
gen_object_display(xml_read('test.xml', Pref))
%%
% *Notice that all three settings will produce the same output for "num1" and
% "num2" and there is no way to reproduce the original "MyTree" structure.*
%% "Pref.PreserveSpace" flag in xml_write (control handling of strings with leading/trailing spaces)
% *Create a struct with strings*
MyTree=[];
MyTree.Empty = '';
MyTree.OneSpace = ' ';
MyTree.TwoSpaces = ' ';
MyTree.String1 = ' Hello World ';
%%
% *Write XML with "PreserveSpace = false" (default).*
Pref=[]; Pref.PreserveSpace = false; % (default setting)
xml_write('test.xml', MyTree, [], Pref);
type('test.xml')
%%
% *Write XML with "PreserveSpace = true".*
Pref=[]; Pref.PreserveSpace = true;
xml_write('test.xml', MyTree, [], Pref);
type('test.xml')
%% "Pref.PreserveSpace" flag in xml_read
% *Read file while using "PreserveSpace = false" (default).*
Pref=[]; Pref.PreserveSpace = false; % (default setting)
gen_object_display(xml_read('test.xml',Pref))
%%
% *Read file while using "PreserveSpace = true".*
Pref=[]; Pref.PreserveSpace = true;
gen_object_display(xml_read('test.xml',Pref))
%% Write XML files with ATTRIBUTEs
% In order to add node attributes a special ATTRIBUTE field is used.
% ATTRIBUTEs have to be of simple types like numbers or strings (not
% struct or cells). Attributes are easy to attach to structs nodes like
% MyTree below.
MyTree=[];
MyTree.MyNumber = 13;
MyTree.MyString = 'Hello World'; % simple case
MyTree.ATTRIBUTE.Num = 2;
xml_write('test.xml', MyTree);
type('test.xml')
%%
% In case when one needs to attach attributes to nodes which are not
% structs (for example strings, numbers or calls) then special CONTENT
% field needs to be used to make the node a struct node.
MyTree=[];
MyTree.MyNumber = 13;
MyTree.MyString.CONTENT = 'Hello World'; % simple case
MyTree.MyString.ATTRIBUTE.Num = 2;
xml_write('test.xml', MyTree);
type('test.xml')
%% "Pref.Str2Num" flag in file with ATTRIBUTEs
% *Create a cell/struct mixture object*
MyTree = [];
MyTree.X.ATTRIBUTE.str = 'sphere';
MyTree.X.ATTRIBUTE.num1 = 123;
MyTree.X.ATTRIBUTE.num2 = '123';
MyTree.X.ATTRIBUTE.num3 = '[Inf,NaN]';
MyTree.X.ATTRIBUTE.calc = '1+2+3+4';
MyTree.X.ATTRIBUTE.func = 'sin(pi)/2';
MyTree.X.ATTRIBUTE.String1 = '[2003 10 30]';
MyTree.X.ATTRIBUTE.String2 = '2003 10 30'; % array resembling date
MyTree.X.ATTRIBUTE.ISO8601 = '2003-10-30'; % date in ISO 8601 format
MyTree.X.ATTRIBUTE.US_date = '2003/10/30'; % US style date format
MyTree.X.ATTRIBUTE.complex = '2003i-10e-30'; % complex number resembling a date
gen_object_display(MyTree);
%%
% *Save it to xml file*
xml_write('test.xml', MyTree);
type('test.xml')
%%
% *Read above file with default settings*
% ("Pref.Str2Num = true" or "Pref.Str2Num = 'smart'"). Under this setting all
% strings that look like numbers are converted to numbers, except for
% strings that are recognized by MATLAB 'datenum' function as dates
gen_object_display(xml_read('test.xml'))
%%
% *Read above file with "Pref.Str2Num = false" or "Pref.Str2Num = 'never'"
% to keep all the fields in string format*
Pref=[]; Pref.Str2Num = false;
gen_object_display(xml_read('test.xml', Pref))
%%
% *Read above file with "Pref.Str2Num = always"
% to convert all strings that look like numbers to numbers*
Pref=[]; Pref.Str2Num = 'always';
gen_object_display(xml_read('test.xml', Pref))
%%
% *Notice that all three settings will produce the same output for "num1" and
% "num2" and there is no way to reproduce the original "MyTree" structure.*
%% Write XML files with COMMENTs
% Insertion of Comments is done with help of special COMMENT field.
% Note that MATLAB's xmlwrite is less readable due to lack of end-of-line
% characters around comment section.
MyTree=[];
MyTree.COMMENT = 'This is a comment';
MyTree.MyNumber = 13;
MyTree.MyString.CONTENT = 'Hello World';
xml_write('test.xml', MyTree);
type('test.xml')
%%
% *Same operation using Apache Xerces XML engine*
% gives the same result
Pref=[]; Pref.XmlEngine = 'Xerces'; % use Xerces xml generator directly
xml_write('test.xml', MyTree, 'MyTree', Pref);
type('test.xml')
%%
% *Comments in XML top level (method #1)*
% This method uses cell array
MyTree=[];
MyTree.MyNumber = 13;
MyTree.MyString = 'Hello World';
xml_write('test.xml', MyTree, {'MyTree', [], 'This is a global comment'});
type('test.xml')
%%
% *Same operation using Apache Xerces XML engine*
% gives even nicer results.
Pref=[]; Pref.XmlEngine = 'Xerces'; % use Xerces xml generator directly
xml_write('test.xml', MyTree, {'MyTree', [], 'This is a global comment'}, Pref);
type('test.xml')
%%
% *Comments in XML top level (method #2)*
% This method adds an extra top layer to the struct 'tree' and sets
% "Pref.RootOnly = false", which informs the function about the extra
% layer. Notice that RootName is also saved as a part of
% the 'tree', and does not have to be passed in separately.
MyTree=[];
MyTree.COMMENT = 'This is a global comment';
MyTree.MyTest.MyNumber = 13;
MyTree.MyTest.MyString = 'Hello World';
Pref=[]; Pref.RootOnly = false;
xml_write('test.xml', MyTree, [], Pref);
type('test.xml')
%%
% *Same operation using Apache Xerces XML engine*
Pref=[]; Pref.XmlEngine = 'Xerces'; % use Xerces xml generator directly
Pref.RootOnly = false;
xml_write('test.xml', MyTree, [], Pref);
type('test.xml')
%% Write XML files with PROCESSING_INSTRUCTIONs
% Insertion of Processing Instructions is done through use of special
% PROCESSING_INSTRUCTION field, which stores the instruction string. The
% string has to be in 'target data' format separated by space.
MyTree=[];
MyTree.PROCESSING_INSTRUCTION = 'xml-stylesheet type="a" href="foo"';
MyTree.MyNumber = 13;
MyTree.MyString = 'Hello World';
xml_write('test.xml', MyTree);
type('test.xml')
%%
% *Same operation using Apache Xerces XML engine*
Pref=[]; Pref.XmlEngine = 'Xerces'; % use Xerces xml generator directly
xml_write('test.xml', MyTree, 'MyTree', Pref);
type('test.xml')
%%
% *PROCESSING_INSTRUCTIONs in XML top level (method #1)*
% This method uses cell array
MyTree=[];
MyTree.MyNumber = 13;
MyTree.MyString = 'Hello World';
xml_write('test.xml', MyTree, {'MyTree', 'xml-stylesheet type="a" href="foo"'});
type('test.xml')
%%
% *Same operation using Apache Xerces XML engine*
Pref=[]; Pref.XmlEngine = 'Xerces'; % use Xerces xml generator directly
xml_write('test.xml', MyTree, {'MyTree', 'xml-stylesheet type="a" href="foo"'}, Pref);
type('test.xml')
%%
% *PROCESSING_INSTRUCTIONs in XML top level (method #2)*
% This method adds an extra top layer to the struct 'tree' and sets
% pref.RootOnly=false, which informs the function about the extra
% layer. Notice that RootName is also saved as a part of
% the 'tree', and does not have to be passed in separately.
MyTree=[];
MyTree.PROCESSING_INSTRUCTION = 'xml-stylesheet type="a" href="foo"';
MyTree.MyTest.MyNumber = 13;
MyTree.MyTest.MyString = 'Hello World';
Pref=[]; Pref.RootOnly = false;
xml_write('test.xml', MyTree, [], Pref);
type('test.xml')
%%
% *Same operation using Apache Xerces XML engine*
Pref=[]; Pref.XmlEngine = 'Xerces'; % use Xerces xml generator directly
Pref.RootOnly = false;
xml_write('test.xml', MyTree, 'MyTree', Pref);
type('test.xml')
%% Write XML files with CDATA Sections
% "In an XML document a CDATA (Character DATA) section is a section of
% element content that is marked for the parser to interpret as only
% character data, not markup." (from Wikipedia)
% To insert CDATA Sections one use special CDATA_SECTION field,
% which stores the instruction string. Note that MATLAB's xmlwrite created
% wrong xml code for CDATA section
MyTree=[];
MyTree.CDATA_SECTION = '<A>txt</A>';
MyTree.MyNumber = 13;
MyTree.MyString = 'Hello World';
xml_write('test.xml', MyTree);
type('test.xml')
%%
% *Same operation using Apache Xerces XML engine produces correct results*
Pref=[]; Pref.XmlEngine = 'Xerces'; % use Xerces xml generator directly
xml_write('test.xml', MyTree, 'MyTree', Pref);
type('test.xml')
%% Write XML files with special characters in TAG names
% The input to xml_write requires that all tags one wants in XML document
% have to be encoded as field names of MATLAB's struct's. Matlab has a lot
% of restrictions on variable names. This section is about XML tags with
% names not allowed as MATLAB variables, or more specifically with
% characters allowed as xml tag names but not allowed as MATLAB variable
% names. Characters like that can be replaced by their hexadecimal
% representation just as it is done by genvarname function. Alternative way
% of writing the first example is:
MyTree=[];
MyTree.('MyNumber') = 13; % same as MyTree.MyNumber = 13;
MyTree.MyString.CONTENT = 'Hello World';
MyTree.MyString.ATTRIBUTE.('Num') = 2; % same as MyTree.MyString.ATTRIBUTE.Num = 2;
xml_write('test.xml', MyTree);
type('test.xml')
%%
% *This approach fails for some characters like dash '-', colon ':', and
% international characters.*
MyTree=[];
try
MyTree.('My-Number') = 13;
MyTree.MyString.CONTENT = 'Hello World';
MyTree.MyString.ATTRIBUTE.('Num_ö') = 2;
catch %#ok<CTCH>
err = lasterror; %#ok<LERR>
disp(err.message);
end
%%
% It can be overcome by replacing offending characters with their
% hexadecimal representation. That can be done manually or with use of
% genvarname function. Note that MATLAB 'type' function does not show
% correctly 'ö' letter in xml file, but opening the file in editor shows
% that it is correct.
MyTree=[];
MyTree.(genvarname('My-Number')) = 13;
MyTree.MyString.CONTENT = 'Hello World';
MyTree.MyString.ATTRIBUTE.Num_0xF6 = 2;
gen_object_display(MyTree);
xml_write('test.xml', MyTree);
type('test.xml')
%%
% *Also two of the characters '-' and ':' can be encoded by a special strings:
% '_DASH_' and '_COLON_' respectively*
MyTree=[];
MyTree.My_DASH_Number = 13;
MyTree.MyString.CONTENT = 'Hello World';
MyTree.MyString.ATTRIBUTE.Num0xF6 = 2;
xml_write('test.xml', MyTree);
type('test.xml')
%% Write XML files with Namespaces
% No extra special fields are needed to define XML namespaces, only colon
% character written using '0x3A' or '_COLON_'. Below is an
% example of a namespace definition
MyTree=[];
MyTree.f_COLON_child.ATTRIBUTE.xmlns_COLON_f = 'http://www.foo.com';
MyTree.f_COLON_child.f_COLON_MyNumber = 13;
MyTree.f_COLON_child.f_COLON_MyString = 'Hello World';
xml_write('test.xml', MyTree, 'MyTree');
type('test.xml')
%%
% *Same operation using Apache Xerces XML engine*
Pref=[]; Pref.XmlEngine = 'Xerces'; % use Xerces xml generator directly
xml_write('test.xml', MyTree, 'f_COLON_MyTree', Pref);
type('test.xml')
%% "Pref.KeepNS" flag in "xml_read"
% Thise option allow keeping or exclusion of namespaces in tag names.
% By default the namespace data is kept but it produces much longer field
% names in the output structure. Ignoring namespace will produce more
% readible output.
% Perform default read of file with namespace
tree = xml_read('test.xml');
gen_object_display(tree);
%%
% Now the same operation with KeepNS = false.
Pref=[]; Pref.KeepNS = false; % do not read attributes
tree = xml_read('test.xml', Pref);
gen_object_display(tree);
%% Read XML files with special node types
% Display and read the file, then show the data structure. Note that
% MATLAB 'type' function shows 'ö' letter incorrectly as 'A' in xml file,
% but opening the file in editor shows that it is correct.
fprintf('Test xml file:\n');
type('test_file.xml')
%%
% Read only the Root Element (default)
[tree GlobalTextNodes] = xml_read('test_file.xml');
fprintf('Global Data (Root name, Global Processing Instructions and Global Comments):\n');
disp(GlobalTextNodes')
fprintf('\nStructure read from the file (uncludes COMMENT and CDATA sections):\n');
gen_object_display(tree);
%%
% Read the whole tree including global Comments and Processing Instructions
Pref=[]; Pref.RootOnly = false;
[tree GlobalTextNodes] = xml_read('test_file.xml', Pref);
fprintf('Global Data (Root name, Global Processing Instructions and Global Comments):\n');
disp(GlobalTextNodes')
fprintf('\nStructure read from the file (uncludes COMMENT and CDATA sections):\n');
gen_object_display(tree);
%% "Pref.ReadAttr" flag in "xml_read" (control handling of nodes with attributes)
% Those option allow exclusion of attributes
Pref=[]; Pref.ReadAttr = false; % do not read attributes
tree = xml_read('test_file.xml', Pref);
gen_object_display(tree);
%% "Pref.ReadSpec" flag in "xml_read"
% Those option allow exclusion of special nodes, like
% comments, processing instructions, CData sections, etc.
Pref=[]; Pref.ReadSpec = false; % do not read special node types
tree = xml_read('test_file.xml', Pref);
gen_object_display(tree);
%% "Pref.RootOnly" flag in "xml_read"
% As it was shown in previous examples RootOnly parameter can be used to
% capture global (top level) special nodes (like COMMENTs and
% PROCESSING_INSTRUCTIONs) which are ignored by default
Pref=[]; Pref.RootOnly = false; % do not read special node types
tree = xml_read('test_file.xml', Pref);
gen_object_display(tree);
%% "Pref.RootOnly" flag in "xml_write"
% Writing previously read tree with default "Pref.RootOnly = true" gives
% wrong output file
Pref=[]; Pref.RootOnly = true; % do not read special node types
xml_write('test.xml', tree, [], Pref);
fprintf('Test xml file:\n');
type('test.xml')
%%
% Writing the same tree with "Pref.RootOnly = false" gives correct output
Pref=[]; Pref.RootOnly = false; % do not read special node types
xml_write('test.xml', tree, [], Pref);
fprintf('Test xml file:\n');
type('test.xml')
%% "Pref.NumLevels" flag in "xml_read"
% This parameter allows user to skip parts of the tree in order to save
% time and memory. Usefull only in a rare case when a small portion of
% large XML file is needed.
%
% Create test tile
MyTree = [];
MyTree.Level1 = 1;
MyTree.Level1_.Level2 = 2;
MyTree.Level1_.Level2_.Level3 = 3;
MyTree.Level1_.Level2_.Level3_.Level4 = 4;
xml_write('test.xml', MyTree);
fprintf('Test xml file:\n');
type('test.xml')
%%
% *Use Default ("Pref.NumLevels = infinity") setting*
tree = xml_read('test.xml');
gen_object_display(tree);
%%
% *Limit the read to only 2 levels*
Pref=[]; Pref.NumLevels = 2;
tree = xml_read('test.xml', Pref);
gen_object_display(tree);
%% Create DOM object based on a Struct using "xml_write"
% *Create Struct tree*
MyTree=[];
MyTree.MyNumber = 13;
MyTree.MyString = 'Hello World';
%%
% *Convert Struct to DOM object using xml_write*
DOM = xml_write([], MyTree);
xmlwrite('test.xml', DOM); % Save DOM object using MATLAB function
type('test.xml')
%% Convert DOM object to Struct using "xml_read"
DOM = xmlread('test.xml'); % Read DOM object using MATLAB function
[tree treeName] = xml_read(DOM); % Convert DOM object to Struct
disp([treeName{1} ' ='])
gen_object_display(tree)
%% Write XML file based on a DOM using "xml_write_xerces"
xmlwrite_xerces('test.xml', DOM); % Save DOM object using Xerces library
type('test.xml')
%% Write XML to string instead of a file
DOM = xml_write([], MyTree);
str = xmlwrite(DOM);
disp(str)
%% Write XML file with embedded binary data encoded as Base64 (using java version)
fid = fopen('football.jpg', 'rb');
raw1 = uint8(fread(fid, 'uint8')); % read image file as a raw binary
fclose(fid);
MyTree=[];
MyTree.Size = 13;
MyTree.MyString = 'Hello World'; % simple case
MyTree.MyImage.ATTRIBUTE.EncodingMIMEType = 'base64';
MyTree.MyImage.CONTENT = base64encode(raw1,'java');% perform base64 encoding of the binary data
xml_write('test.xml', MyTree); % write xml file
%% Read XML file with embedded binary data encoded as Base64 (using java version)
tree = xml_read('test.xml', Pref); % read xml file
raw = base64decode(tree.MyImage.CONTENT, '', 'java'); % convert xml image to raw binary
fid = fopen('MyFootball.jpg', 'wb');
fwrite(fid, raw, 'uint8'); % dumb the raw binary to the hard disk
fclose(fid);
I = imread('MyFootball.jpg'); % read it as an image
imshow(I);
%% Write XML file with embedded binary data encoded as Base64 (simpler version using only matlab code
% Notice that process of writing to xml stripped all end-of-lie characters
% from base64 code.
isChunked = true; % break into chunks 76 characters long
url_safe = true; % 'base64url' encoding
code = base64encode('license.txt', 'matlab', isChunked, url_safe);
disp(code)
MyTree=[];
MyTree.Size = 13;
MyTree.MyString = 'Hello World';
MyTree.MyImage.ATTRIBUTE.EncodingMIMEType = 'base64';
MyTree.MyImage.CONTENT = code; % perform base64 encoding of the binary data
xml_write('test.xml', MyTree); % write xml file
type('test.xml')
%% Read XML file with embedded binary data encoded as Base64 (simpler version using only matlab code
tree = xml_read('test.xml', Pref); % read xml file
base64decode(tree.MyImage.CONTENT, 'license2.txt', 'matlab'); % save xml image as raw binary
type('license2.txt')

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function DOMnode = xml_write(filename, tree, RootName, Pref)
%XML_WRITE Writes Matlab data structures to XML file
%
% DESCRIPTION
% xml_write( filename, tree) Converts Matlab data structure 'tree' containing
% cells, structs, numbers and strings to Document Object Model (DOM) node
% tree, then saves it to XML file 'filename' using Matlab's xmlwrite
% function. Optionally one can also use alternative version of xmlwrite
% function which directly calls JAVA functions for XML writing without
% MATLAB middleware. This function is provided as a patch to existing
% bugs in xmlwrite (in R2006b).
%
% xml_write(filename, tree, RootName, Pref) allows you to specify
% additional preferences about file format
%
% DOMnode = xml_write([], tree) same as above except that DOM node is
% not saved to the file but returned.
%
% INPUT
% filename file name
% tree Matlab structure tree to store in xml file.
% RootName String with XML tag name used for root (top level) node
% Optionally it can be a string cell array storing: Name of
% root node, document "Processing Instructions" data and
% document "comment" string
% Pref Other preferences:
% Pref.ItemName - default 'item' - name of a special tag used to
% itemize cell or struct arrays
% Pref.XmlEngine - let you choose the XML engine. Currently default is
% 'Xerces', which is using directly the apache xerces java file.
% Other option is 'Matlab' which uses MATLAB's xmlwrite and its
% XMLUtils java file. Both options create identical results except in
% case of CDATA sections where xmlwrite fails.
% Pref.CellItem - default 'true' - allow cell arrays to use 'item'
% notation. See below.
% Pref.RootOnly - default true - output variable 'tree' corresponds to
% xml file root element, otherwise it correspond to the whole file.
% Pref.StructItem - default 'true' - allow arrays of structs to use
% 'item' notation. For example "Pref.StructItem = true" gives:
% <a>
% <b>
% <item> ... <\item>
% <item> ... <\item>
% <\b>
% <\a>
% while "Pref.StructItem = false" gives:
% <a>
% <b> ... <\b>
% <b> ... <\b>
% <\a>
%
%
% Several special xml node types can be created if special tags are used
% for field names of 'tree' nodes:
% - node.CONTENT - stores data section of the node if other fields
% (usually ATTRIBUTE are present. Usually data section is stored
% directly in 'node'.
% - node.ATTRIBUTE.name - stores node's attribute called 'name'.
% - node.COMMENT - create comment child node from the string. For global
% comments see "RootName" input variable.
% - node.PROCESSING_INSTRUCTIONS - create "processing instruction" child
% node from the string. For global "processing instructions" see
% "RootName" input variable.
% - node.CDATA_SECTION - stores node's CDATA section (string). Only works
% if Pref.XmlEngine='Xerces'. For more info, see comments of F_xmlwrite.
% - other special node types like: document fragment nodes, document type
% nodes, entity nodes and notation nodes are not being handled by
% 'xml_write' at the moment.
%
% OUTPUT
% DOMnode Document Object Model (DOM) node tree in the format
% required as input to xmlwrite. (optional)
%
% EXAMPLES:
% MyTree=[];
% MyTree.MyNumber = 13;
% MyTree.MyString = 'Hello World';
% xml_write('test.xml', MyTree);
% type('test.xml')
% %See also xml_tutorial.m
%
% See also
% xml_read, xmlread, xmlwrite
%
% Written by Jarek Tuszynski, SAIC, jaroslaw.w.tuszynski_at_saic.com
%% Check Matlab Version
v = ver('MATLAB');
v = str2double(regexp(v.Version, '\d.\d','match','once'));
if (v<7)
error('Your MATLAB version is too old. You need version 7.0 or newer.');
end
%% default preferences
DPref.TableName = {'tr','td'}; % name of a special tags used to itemize 2D cell arrays
DPref.ItemName = 'item'; % name of a special tag used to itemize 1D cell arrays
DPref.StructItem = true; % allow arrays of structs to use 'item' notation
DPref.CellItem = true; % allow cell arrays to use 'item' notation
DPref.StructTable= 'Html';
DPref.CellTable = 'Html';
DPref.XmlEngine = 'Matlab'; % use matlab provided XMLUtils
%DPref.XmlEngine = 'Xerces'; % use Xerces xml generator directly
DPref.PreserveSpace = false; % Preserve or delete spaces at the beggining and the end of stings?
RootOnly = true; % Input is root node only
GlobalProcInst = [];
GlobalComment = [];
GlobalDocType = [];
%% read user preferences
if (nargin>3)
if (isfield(Pref, 'TableName' )), DPref.TableName = Pref.TableName; end
if (isfield(Pref, 'ItemName' )), DPref.ItemName = Pref.ItemName; end
if (isfield(Pref, 'StructItem')), DPref.StructItem = Pref.StructItem; end
if (isfield(Pref, 'CellItem' )), DPref.CellItem = Pref.CellItem; end
if (isfield(Pref, 'CellTable')), DPref.CellTable = Pref.CellTable; end
if (isfield(Pref, 'StructTable')), DPref.StructTable= Pref.StructTable; end
if (isfield(Pref, 'XmlEngine' )), DPref.XmlEngine = Pref.XmlEngine; end
if (isfield(Pref, 'RootOnly' )), RootOnly = Pref.RootOnly; end
if (isfield(Pref, 'PreserveSpace')), DPref.PreserveSpace = Pref.PreserveSpace; end
end
if (nargin<3 || isempty(RootName)), RootName=inputname(2); end
if (isempty(RootName)), RootName='ROOT'; end
if (iscell(RootName)) % RootName also stores global text node data
rName = RootName;
RootName = char(rName{1});
if (length(rName)>1), GlobalProcInst = char(rName{2}); end
if (length(rName)>2), GlobalComment = char(rName{3}); end
if (length(rName)>3), GlobalDocType = char(rName{4}); end
end
if(~RootOnly && isstruct(tree)) % if struct than deal with each field separatly
fields = fieldnames(tree);
for i=1:length(fields)
field = fields{i};
x = tree(1).(field);
if (strcmp(field, 'COMMENT'))
GlobalComment = x;
elseif (strcmp(field, 'PROCESSING_INSTRUCTION'))
GlobalProcInst = x;
elseif (strcmp(field, 'DOCUMENT_TYPE'))
GlobalDocType = x;
else
RootName = field;
t = x;
end
end
tree = t;
end
%% Initialize jave object that will store xml data structure
RootName = varName2str(RootName);
if (~isempty(GlobalDocType))
% n = strfind(GlobalDocType, ' ');
% if (~isempty(n))
% dtype = com.mathworks.xml.XMLUtils.createDocumentType(GlobalDocType);
% end
% DOMnode = com.mathworks.xml.XMLUtils.createDocument(RootName, dtype);
warning('xml_io_tools:write:docType', ...
'DOCUMENT_TYPE node was encountered which is not supported yet. Ignoring.');
end
DOMnode = com.mathworks.xml.XMLUtils.createDocument(RootName);
%% Use recursive function to convert matlab data structure to XML
root = DOMnode.getDocumentElement;
struct2DOMnode(DOMnode, root, tree, DPref.ItemName, DPref);
%% Remove the only child of the root node
root = DOMnode.getDocumentElement;
Child = root.getChildNodes; % create array of children nodes
nChild = Child.getLength; % number of children
if (nChild==1)
node = root.removeChild(root.getFirstChild);
while(node.hasChildNodes)
root.appendChild(node.removeChild(node.getFirstChild));
end
while(node.hasAttributes) % copy all attributes
root.setAttributeNode(node.removeAttributeNode(node.getAttributes.item(0)));
end
end
%% Save exotic Global nodes
if (~isempty(GlobalComment))
DOMnode.insertBefore(DOMnode.createComment(GlobalComment), DOMnode.getFirstChild());
end
if (~isempty(GlobalProcInst))
n = strfind(GlobalProcInst, ' ');
if (~isempty(n))
proc = DOMnode.createProcessingInstruction(GlobalProcInst(1:(n(1)-1)),...
GlobalProcInst((n(1)+1):end));
DOMnode.insertBefore(proc, DOMnode.getFirstChild());
end
end
% Not supported yet as the code below does not work
% if (~isempty(GlobalDocType))
% n = strfind(GlobalDocType, ' ');
% if (~isempty(n))
% dtype = DOMnode.createDocumentType(GlobalDocType);
% DOMnode.insertBefore(dtype, DOMnode.getFirstChild());
% end
% end
%% save java DOM tree to XML file
if (~isempty(filename))
if (strcmpi(DPref.XmlEngine, 'Xerces'))
xmlwrite_xerces(filename, DOMnode);
else
xmlwrite(filename, DOMnode);
end
end
%% =======================================================================
% === struct2DOMnode Function ===========================================
% =======================================================================
function [] = struct2DOMnode(xml, parent, s, TagName, Pref)
% struct2DOMnode is a recursive function that converts matlab's structs to
% DOM nodes.
% INPUTS:
% xml - jave object that will store xml data structure
% parent - parent DOM Element
% s - Matlab data structure to save
% TagName - name to be used in xml tags describing 's'
% Pref - preferenced
% OUTPUT:
% parent - modified 'parent'
% perform some conversions
if (ischar(s) && min(size(s))>1) % if 2D array of characters
s=cellstr(s); % than convert to cell array
end
% if (strcmp(TagName, 'CONTENT'))
% while (iscell(s) && length(s)==1), s = s{1}; end % unwrap cell arrays of length 1
% end
TagName = varName2str(TagName);
%% == node is a 2D cell array ==
% convert to some other format prior to further processing
nDim = nnz(size(s)>1); % is it a scalar, vector, 2D array, 3D cube, etc?
if (iscell(s) && nDim==2 && strcmpi(Pref.CellTable, 'Matlab'))
s = var2str(s, Pref.PreserveSpace);
end
if (nDim==2 && (iscell (s) && strcmpi(Pref.CellTable, 'Vector')) || ...
(isstruct(s) && strcmpi(Pref.StructTable, 'Vector')))
s = s(:);
end
if (nDim>2), s = s(:); end % can not handle this case well
nItem = numel(s);
nDim = nnz(size(s)>1); % is it a scalar, vector, 2D array, 3D cube, etc?
%% == node is a cell ==
if (iscell(s)) % if this is a cell or cell array
if ((nDim==2 && strcmpi(Pref.CellTable,'Html')) || (nDim< 2 && Pref.CellItem))
% if 2D array of cells than can use HTML-like notation or if 1D array
% than can use item notation
if (strcmp(TagName, 'CONTENT')) % CONTENT nodes already have <TagName> ... </TagName>
array2DOMnode(xml, parent, s, Pref.ItemName, Pref ); % recursive call
else
node = xml.createElement(TagName); % <TagName> ... </TagName>
array2DOMnode(xml, node, s, Pref.ItemName, Pref ); % recursive call
parent.appendChild(node);
end
else % use <TagName>...<\TagName> <TagName>...<\TagName> notation
array2DOMnode(xml, parent, s, TagName, Pref ); % recursive call
end
%% == node is a struct ==
elseif (isstruct(s)) % if struct than deal with each field separatly
if ((nDim==2 && strcmpi(Pref.StructTable,'Html')) || (nItem>1 && Pref.StructItem))
% if 2D array of structs than can use HTML-like notation or
% if 1D array of structs than can use 'items' notation
node = xml.createElement(TagName);
array2DOMnode(xml, node, s, Pref.ItemName, Pref ); % recursive call
parent.appendChild(node);
elseif (nItem>1) % use <TagName>...<\TagName> <TagName>...<\TagName> notation
array2DOMnode(xml, parent, s, TagName, Pref ); % recursive call
else % otherwise save each struct separatelly
fields = fieldnames(s);
node = xml.createElement(TagName);
for i=1:length(fields) % add field by field to the node
field = fields{i};
x = s.(field);
switch field
case {'COMMENT', 'CDATA_SECTION', 'PROCESSING_INSTRUCTION'}
if iscellstr(x) % cell array of strings -> add them one by one
array2DOMnode(xml, node, x(:), field, Pref ); % recursive call will modify 'node'
elseif ischar(x) % single string -> add it
struct2DOMnode(xml, node, x, field, Pref ); % recursive call will modify 'node'
else % not a string - Ignore
warning('xml_io_tools:write:badSpecialNode', ...
['Struct field named ',field,' encountered which was not a string. Ignoring.']);
end
case 'ATTRIBUTE' % set attributes of the node
if (isempty(x)), continue; end
if (isstruct(x))
attName = fieldnames(x); % get names of all the attributes
for k=1:length(attName) % attach them to the node
att = xml.createAttribute(varName2str(attName(k)));
att.setValue(var2str(x.(attName{k}),Pref.PreserveSpace));
node.setAttributeNode(att);
end
else
warning('xml_io_tools:write:badAttribute', ...
'Struct field named ATTRIBUTE encountered which was not a struct. Ignoring.');
end
otherwise % set children of the node
struct2DOMnode(xml, node, x, field, Pref ); % recursive call will modify 'node'
end
end % end for i=1:nFields
parent.appendChild(node);
end
%% == node is a leaf node ==
else % if not a struct and not a cell than it is a leaf node
switch TagName % different processing depending on desired type of the node
case 'COMMENT' % create comment node
com = xml.createComment(s);
parent.appendChild(com);
case 'CDATA_SECTION' % create CDATA Section
cdt = xml.createCDATASection(s);
parent.appendChild(cdt);
case 'PROCESSING_INSTRUCTION' % set attributes of the node
OK = false;
if (ischar(s))
n = strfind(s, ' ');
if (~isempty(n))
proc = xml.createProcessingInstruction(s(1:(n(1)-1)),s((n(1)+1):end));
parent.insertBefore(proc, parent.getFirstChild());
OK = true;
end
end
if (~OK)
warning('xml_io_tools:write:badProcInst', ...
['Struct field named PROCESSING_INSTRUCTION need to be',...
' a string, for example: xml-stylesheet type="text/css" ', ...
'href="myStyleSheet.css". Ignoring.']);
end
case 'CONTENT' % this is text part of already existing node
txt = xml.createTextNode(var2str(s, Pref.PreserveSpace)); % convert to text
parent.appendChild(txt);
otherwise % I guess it is a regular text leaf node
txt = xml.createTextNode(var2str(s, Pref.PreserveSpace));
node = xml.createElement(TagName);
node.appendChild(txt);
parent.appendChild(node);
end
end % of struct2DOMnode function
%% =======================================================================
% === array2DOMnode Function ============================================
% =======================================================================
function [] = array2DOMnode(xml, parent, s, TagName, Pref)
% Deal with 1D and 2D arrays of cell or struct. Will modify 'parent'.
nDim = nnz(size(s)>1); % is it a scalar, vector, 2D array, 3D cube, etc?
switch nDim
case 2 % 2D array
for r=1:size(s,1)
subnode = xml.createElement(Pref.TableName{1});
for c=1:size(s,2)
v = s(r,c);
if iscell(v), v = v{1}; end
struct2DOMnode(xml, subnode, v, Pref.TableName{2}, Pref ); % recursive call
end
parent.appendChild(subnode);
end
case 1 %1D array
for iItem=1:numel(s)
v = s(iItem);
if iscell(v), v = v{1}; end
struct2DOMnode(xml, parent, v, TagName, Pref ); % recursive call
end
case 0 % scalar -> this case should never be called
if ~isempty(s)
if iscell(s), s = s{1}; end
struct2DOMnode(xml, parent, s, TagName, Pref );
end
end
%% =======================================================================
% === var2str Function ==================================================
% =======================================================================
function str = var2str(object, PreserveSpace)
% convert matlab variables to a string
switch (1)
case isempty(object)
str = '';
case (isnumeric(object) || islogical(object))
if ndims(object)>2, object=object(:); end % can't handle arrays with dimention > 2
str=mat2str(object); % convert matrix to a string
% mark logical scalars with [] (logical arrays already have them) so the xml_read
% recognizes them as MATLAB objects instead of strings. Same with sparse
% matrices
if ((islogical(object) && isscalar(object)) || issparse(object)),
str = ['[' str ']'];
end
if (isinteger(object)),
str = ['[', class(object), '(', str ')]'];
end
case iscell(object)
if ndims(object)>2, object=object(:); end % can't handle cell arrays with dimention > 2
[nr nc] = size(object);
obj2 = object;
for i=1:length(object(:))
str = var2str(object{i}, PreserveSpace);
if (ischar(object{i})), object{i} = ['''' object{i} '''']; else object{i}=str; end
obj2{i} = [object{i} ','];
end
for r = 1:nr, obj2{r,nc} = [object{r,nc} ';']; end
obj2 = obj2.';
str = ['{' obj2{:} '}'];
case isstruct(object)
str='';
warning('xml_io_tools:write:var2str', ...
'Struct was encountered where string was expected. Ignoring.');
case isa(object, 'function_handle')
str = ['[@' char(object) ']'];
case ischar(object)
str = object;
otherwise
str = char(object);
end
%% string clean-up
str=str(:); str=str.'; % make sure this is a row vector of char's
if (~isempty(str))
str(str<32|str==127)=' '; % convert no-printable characters to spaces
if (~PreserveSpace)
str = strtrim(str); % remove spaces from begining and the end
str = regexprep(str,'\s+',' '); % remove multiple spaces
end
end
%% =======================================================================
% === var2Namestr Function ==============================================
% =======================================================================
function str = varName2str(str)
% convert matlab variable names to a sting
str = char(str);
p = strfind(str,'0x');
if (~isempty(p))
for i=1:length(p)
before = str( p(i)+(0:3) ); % string to replace
after = char(hex2dec(before(3:4))); % string to replace with
str = regexprep(str,before,after, 'once', 'ignorecase');
p=p-3; % since 4 characters were replaced with one - compensate
end
end
str = regexprep(str,'_COLON_',':', 'once', 'ignorecase');
str = regexprep(str,'_DASH_' ,'-', 'once', 'ignorecase');

109
matlab_runners/Action Unit Experiments/helpers/xml_io_tools_2010_11_05/xmlwrite_xerces.m Normal file
View file

@ -0,0 +1,109 @@
function varargout=xmlwrite_xerces(varargin)
%XMLWRITE_XERCES Serialize an XML Document Object Model node using Xerces parser.
% xmlwrite_xerces(FILENAME,DOMNODE) serializes the DOMNODE to file FILENAME.
%
% The function xmlwrite_xerces is very similar the Matlab function xmlwrite
% but works directly with the XERCES java classes (written by Apache XML
% Project) instead of the XMLUtils class created by Mathworks. Xerces files
% are provided in standard MATLAB instalation and live in root\java\jarext
% directory.
%
% Written by A.Amaro (02-22-2007) and generously donated to xml_io_tools.
% This function is needed as a work-around for a bug in XMLUtils library
% which can not write CDATA SECTION nodes correctly. Also Xerces and
% XMLUtils libraries handle namespaces differently.
%
% Examples:
% % See xmlwrite examples this function have almost identical behavior.
%
% Advanced use:
% FILENAME can also be a URN, java.io.OutputStream or java.io.Writer object
% SOURCE can also be a SAX InputSource, JAXP Source, InputStream, or
% Reader object
returnString = false;
if length(varargin)==1
returnString = true;
result = java.io.StringWriter;
source = varargin{1};
else
result = varargin{1};
if ischar(result)
% Using the XERCES classes directly, is not needed to modify the
% filename string. So I have commented this next line
% result = F_xmlstringinput(result,false);
end
source = varargin{2};
if ischar(source)
source = F_xmlstringinput(source,true);
end
end
% SERIALIZATION OF THE DOM DOCUMENT USING XERCES CLASSES DIRECTLY
% 1) create the output format according to the document definitions
% and type
objOutputFormat = org.apache.xml.serialize.OutputFormat(source);
set(objOutputFormat,'Indenting','on');
% 2) create the output stream. In this case: an XML file
objFile = java.io.File(result);
objOutputStream = java.io.FileOutputStream(objFile);
% 3) Create the Xerces Serializer object
objSerializer= org.apache.xml.serialize.XMLSerializer(objOutputStream,objOutputFormat);
% 4) Serialize to the XML files
javaMethod('serialize',objSerializer,source);
% 5) IMPORTANT! Delete the objects to liberate the XML file created
objOutputStream.close;
if returnString
varargout{1}=char(result.toString);
end
%% ========================================================================
function out = F_xmlstringinput(xString,isFullSearch,varargin)
% The function F_xmlstringinput is a copy of the private function:
% 'xmlstringinput' that the original xmlwrite function uses.
if isempty(xString)
error('Filename is empty');
elseif ~isempty(findstr(xString,'://'))
%xString is already a URL, most likely prefaced by file:// or http://
out = xString;
return;
end
xPath=fileparts(xString);
if isempty(xPath)
if nargin<2 || isFullSearch
out = which(xString);
if isempty(out)
error('xml:FileNotFound','File %s not found',xString);
end
else
out = fullfile(pwd,xString);
end
else
out = xString;
if (nargin<2 || isFullSearch) && ~exist(xString,'file')
%search to see if xString exists when isFullSearch
error('xml:FileNotFound','File %s not found',xString);
end
end
%Return as a URN
if strncmp(out,'\\',2)
% SAXON UNC filepaths need to look like file:///\\\server-name\
out = ['file:///\',out];
elseif strncmp(out,'/',1)
% SAXON UNIX filepaths need to look like file:///root/dir/dir
out = ['file://',out];
else
% DOS filepaths need to look like file:///d:/foo/bar
out = ['file:///',strrep(out,'\','/')];
end

20
matlab_runners/Action Unit Experiments/run_AU_prediction_DISFA.m
View file

@ -1,6 +1,17 @@
clear
DISFA_dir = 'D:/Datasets/DISFA/Videos_LeftCamera/';
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
end
if(exist('D:/Datasets/DISFA/Videos_LeftCamera/', 'file'))
DISFA_dir = 'D:/Datasets/DISFA/Videos_LeftCamera/';
else
DISFA_dir = '/multicomp/datasets/face_datasets/DISFA/Videos_LeftCamera/';
end
videos = dir([DISFA_dir, '*.avi']);
@ -22,7 +33,11 @@ parfor v = 1:numel(videos)
output_file = [output name '_au.txt'];
command = [executable ' -f "' vid_file '" -of "' output_file '" -q -no2Dfp -no3Dfp -noMparams -noPose -noGaze'];
if(isunix)
unix(command, '-echo');
else
dos(command);
end
end
@ -31,8 +46,7 @@ end
% Note that DISFA was used in training, this is not meant for experimental
% results but rather to show how to do AU prediction and how to interpret
% the results
Label_dir = 'D:/Datasets/DISFA/ActionUnit_Labels/';
Label_dir = [DISFA_dir, '/../ActionUnit_Labels/'];
prediction_dir = 'out_DISFA/';
label_folders = dir([Label_dir, 'SN*']);

28
matlab_runners/Action Unit Experiments/run_AU_prediction_FERA2011.m
View file

@ -1,6 +1,7 @@
clear
fera_loc = 'D:\Datasets\fera\';
addpath(genpath('helpers/'));
find_FERA2011;
out_loc = './out_fera/';
@ -9,41 +10,38 @@ if(~exist(out_loc, 'dir'))
end
%%
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
end
fera_dirs = dir([fera_loc, 'au_train*']);
fera_dirs = dir([FERA2011_dir, 'train*']);
for f1=1:numel(fera_dirs)
parfor f1=1:numel(fera_dirs)
fera_dirs_level_2 = dir([fera_loc, fera_dirs(f1).name]);
fera_dirs_level_2 = fera_dirs_level_2(3:end);
parfor f2=1:numel(fera_dirs_level_2)
vid_files = dir([fera_loc, fera_dirs(f1).name, '/', fera_dirs_level_2(f2).name, '/*.avi']);
vid_files = dir([FERA2011_dir, fera_dirs(f1).name, '/*.avi']);
for v=1:numel(vid_files)
command = [executable ' -asvid -q -no2Dfp -no3Dfp -noMparams -noPose -noGaze -au_static '];
curr_vid = [fera_loc, fera_dirs(f1).name, '/', fera_dirs_level_2(f2).name, '/', vid_files(v).name];
curr_vid = [FERA2011_dir, fera_dirs(f1).name, '/', vid_files(v).name];
[~,name,~] = fileparts(curr_vid);
output_file = [out_loc name '.au.txt'];
command = cat(2, command, [' -f "' curr_vid '" -of "' output_file '"']);
if(isunix)
unix(command, '-echo');
else
dos(command);
end
end
end
%%
addpath('./helpers/');
find_FERA2011;
[ labels_gt, valid_ids, filenames] = extract_FERA2011_labels(FERA2011_dir, all_recs, all_aus);
labels_gt = cat(1, labels_gt{:});

11
matlab_runners/Action Unit Experiments/run_AU_prediction_SEMAINE.m
View file

@ -9,7 +9,11 @@ if(~exist(out_loc, 'dir'))
mkdir(out_loc);
end
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
end
%%
parfor f1=1:numel(devel_recs)
@ -27,8 +31,13 @@ parfor f1=1:numel(devel_recs)
name = f1_dir;
output_aus = [out_loc name '.au.txt'];
command = cat(2, command, [' -f "' curr_vid '" -of "' output_aus]);
command = cat(2, command, [' -f "' curr_vid '" -of "' output_aus, '"']);
if(isunix)
unix(command, '-echo');
else
dos(command);
end
end
end

12
matlab_runners/Demos/feature_extraction_demo_img_seq.m
View file

@ -1,4 +1,10 @@
clear
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
end
output = './output_features_seq/';
@ -29,11 +35,15 @@ for i=1:numel(in_dirs)
command = cat(2, command, ['-asvid -fdir "' in_dirs{i} '" -of "' outputFile '" ']);
command = cat(2, command, [' -simalign "' outputDir_aligned '" -hogalign "' outputHOG_aligned '"']);
command = cat(2, command, [' -simalign "' outputDir_aligned '" -simsize 200 -hogalign "' outputHOG_aligned '"']);
end
if(isunix)
unix(command);
else
dos(command);
end
%% Demonstrating reading the output files

9
matlab_runners/Demos/feature_extraction_demo_vid.m
View file

@ -1,5 +1,10 @@
clear
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
end
output = './output_features_vid/';
@ -40,7 +45,11 @@ for i=1:numel(in_files)
end
if(isunix)
unix(command);
else
dos(command);
end
%% Demonstrating reading the output files

14
matlab_runners/Demos/gaze_extraction_demo_vid.m
View file

@ -1,4 +1,10 @@
exe = '"../../x64/Release/FeatureExtraction.exe"';
clear
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
end
output = './output_features_vid/';
@ -10,7 +16,7 @@ in_files = dir('../../videos/2015-10-15-15-14.avi');
% some parameters
verbose = true;
command = exe;
command = executable;
command = cat(2, command, ' -verbose -no2Dfp -no3Dfp -noMparams -noPose -noAUs ');
% add all videos to single argument list (so as not to load the model anew
@ -31,7 +37,11 @@ for i=1:numel(in_files)
end
if(isunix)
unix(command);
else
dos(command);
end
%% Demonstrating reading the output files
filename = [output name];

9
matlab_runners/Demos/run_demo_images.m
View file

@ -1,6 +1,9 @@
clear
if(isunix)
executable = '"../../build/bin/FaceLandmarkImg"';
else
executable = '"../../x64/Release/FaceLandmarkImg.exe"';
end
in_dir = '../../videos/';
out_dir = './demo_img/';
@ -38,4 +41,8 @@ command = cat(2, command, [' -mloc "', model, '"']);
% Comment to skip this functionality
command = cat(2, command, ' -wild ');
if(isunix)
unix(command);
else
dos(command);
end

10
matlab_runners/Demos/run_demo_video_multi.m
View file

@ -1,4 +1,10 @@
clear;
if(isunix)
executable = '"../../build/bin/FaceLandmarkVidMulti"';
else
executable = '"../../x64/Release/FaceLandmarkVidMulti.exe"';
end
output = './demo_vid/';
@ -38,4 +44,8 @@ for i=1:numel(in_files)
end
if(isunix)
unix(command);
else
dos(command);
end

10
matlab_runners/Demos/run_demo_videos.m
View file

@ -1,4 +1,10 @@
clear
if(isunix)
executable = '"../../build/bin/FaceLandmarkVid"';
else
executable = '"../../x64/Release/FaceLandmarkVid.exe"';
end
output = './demo_vid/';
@ -39,4 +45,8 @@ for i=1:numel(in_files)
end
if(isunix)
unix(command);
else
dos(command);
end

12
matlab_runners/Feature Point Experiments/Run_CLM_fitting_on_images.m → matlab_runners/Feature Point Experiments/Run_OF_on_images.m
View file

@ -1,6 +1,4 @@
function [ err_outline, err_no_outline ] = Run_CLM_fitting_on_images(output_loc, database_root, varargin)
%RUN_CLM_FITTING_ON_IMAGES Summary of this function goes here
% Detailed explanation goes here
function [ err_outline, err_no_outline ] = Run_OF_on_images(output_loc, database_root, varargin)
dataset_dirs = {};
@ -27,7 +25,11 @@ else
verbose = false;
end
if(isunix)
command = '"../../build/bin/FaceLandmarkImg"';
else
command = '"../../x64/Release/FaceLandmarkImg.exe"';
end
if(any(strcmp(varargin, 'model')))
model = varargin{find(strcmp(varargin, 'model')) + 1};
@ -61,7 +63,11 @@ parfor i=1:numel(dataset_dirs)
command_c = cat(2, command_c, ' -wild ');
if(isunix)
unix(command_c, '-echo');
else
dos(command_c);
end
end
toc

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matlab_runners/Feature Point Experiments/results/fps_yt.mat
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matlab_runners/Feature Point Experiments/results/in-the-wild-res-no-outline.pdf
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BIN
matlab_runners/Feature Point Experiments/results/landmark_detections.mat
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12
matlab_runners/Feature Point Experiments/run_clm_feature_point_tests_wild.m → matlab_runners/Feature Point Experiments/run_OpenFace_feature_point_tests_300W.m
View file

@ -5,8 +5,10 @@ curr_dir = cd('.');
% Replace this with your downloaded 300-W train data
if(exist([getenv('USERPROFILE') '/Dropbox/AAM/test data/'], 'file'))
database_root = [getenv('USERPROFILE') '/Dropbox/AAM/test data/'];
else
elseif(exist('D:/Dropbox/Dropbox/AAM/test data/', 'file'))
database_root = 'D:/Dropbox/Dropbox/AAM/test data/';
else
database_root = '/multicomp/datasets/300-W/';
end
%% Run using CLNF in the wild model
@ -15,7 +17,7 @@ if(~exist(out_clnf, 'file'))
mkdir(out_clnf);
end
[err_clnf_wild, err_no_out_clnf_wild] = Run_CLM_fitting_on_images(out_clnf, database_root, 'use_afw', 'use_lfpw', 'use_ibug', 'use_helen', 'verbose', 'model', 'model/main_clnf_wild.txt', 'multi_view', 1);
[err_clnf_wild, err_no_out_clnf_wild] = Run_OF_on_images(out_clnf, database_root, 'use_afw', 'use_lfpw', 'use_ibug', 'use_helen', 'verbose', 'model', 'model/main_clnf_wild.txt', 'multi_view', 1);
%% Run using SVR model
out_svr = [curr_dir '/out_wild_svr_wild/'];
@ -23,7 +25,7 @@ if(~exist(out_svr, 'file'))
mkdir(out_svr);
end
[err_svr_wild, err_no_out_svr_wild] = Run_CLM_fitting_on_images(out_svr, database_root, 'use_afw', 'use_lfpw', 'use_ibug', 'use_helen', 'verbose', 'model', 'model/main_clm_wild.txt', 'multi_view', 1);
[err_svr_wild, err_no_out_svr_wild] = Run_OF_on_images(out_svr, database_root, 'use_afw', 'use_lfpw', 'use_ibug', 'use_helen', 'verbose', 'model', 'model/main_clm_wild.txt', 'multi_view', 1);
%% Run using general CLNF model
out_clnf = [curr_dir '/out_wild_clnf/'];
@ -31,7 +33,7 @@ if(~exist(out_clnf, 'file'))
mkdir(out_clnf);
end
[err_clnf, err_no_out_clnf] = Run_CLM_fitting_on_images(out_clnf, database_root, 'use_afw', 'use_lfpw', 'use_ibug', 'use_helen', 'verbose', 'model', 'model/main_clnf_general.txt', 'multi_view', 1);
[err_clnf, err_no_out_clnf] = Run_OF_on_images(out_clnf, database_root, 'use_afw', 'use_lfpw', 'use_ibug', 'use_helen', 'verbose', 'model', 'model/main_clnf_general.txt', 'multi_view', 1);
%% Run using SVR model
out_svr = [curr_dir '/out_wild_svr/'];
@ -39,7 +41,7 @@ if(~exist(out_svr, 'file'))
mkdir(out_svr);
end
[err_svr, err_no_out_svr] = Run_CLM_fitting_on_images(out_svr, database_root, 'use_afw', 'use_lfpw', 'use_ibug', 'use_helen', 'verbose', 'model', 'model/main_clm_general.txt', 'multi_view', 1);
[err_svr, err_no_out_svr] = Run_OF_on_images(out_svr, database_root, 'use_afw', 'use_lfpw', 'use_ibug', 'use_helen', 'verbose', 'model', 'model/main_clm_general.txt', 'multi_view', 1);
%%
save('results/landmark_detections.mat');

16
matlab_runners/Feature Point Experiments/run_yt_dataset.m
View file

@ -1,6 +1,10 @@
clear
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
end
output = 'yt_features/';
@ -10,8 +14,10 @@ end
if(exist([getenv('USERPROFILE') '/Dropbox/AAM/test data/'], 'file'))
database_root = [getenv('USERPROFILE') '/Dropbox/AAM/test data/'];
else
elseif(exist('D:/Dropbox/Dropbox/AAM/test data/', 'file'))
database_root = 'D:/Dropbox/Dropbox/AAM/test data/';
else
database_root = '/multicomp/datasets/';
end
database_root = [database_root, '/ytceleb/'];
@ -33,7 +39,11 @@ for i=1:numel(in_vids)
command = cat(2, command, [' -f "' in_file_name '" -of "' outputFile_fp '"']);
end
if(isunix)
unix(command, '-echo')
else
dos(command);
end
%%
output = 'yt_features_clm/';
@ -59,7 +69,11 @@ for i=1:numel(in_vids)
command = cat(2, command, [' -f "' in_file_name '" -of "' outputFile_fp '"']);
end
if(isunix)
unix(command, '-echo')
else
dos(command);
end
%% evaluating yt datasets
d_loc = 'yt_features/';
d_loc_clm = 'yt_features_clm/';

6
matlab_runners/Full_test_suite.m
View file

@ -1,6 +1,6 @@
% This is sort of the unit test for the whole module (needs datasets)
% Will take over an hour to run all
% Will take several hours to run all
clear
tic
%% Head pose
cd('Head Pose Experiments');
@ -12,7 +12,7 @@ cd('../');
%% Features
cd('Feature Point Experiments');
run_clm_feature_point_tests_wild;
run_OpenFace_feature_point_tests_300W;
assert(median(err_clnf) < 0.041);
assert(median(err_clnf_wild) < 0.041);
run_yt_dataset;

15
matlab_runners/Gaze Experiments/extract_mpii_gaze_test.m
View file

@ -7,9 +7,12 @@ if(exist([getenv('USERPROFILE') '/Dropbox/AAM/eye_clm/mpii_data/'], 'file'))
database_root = [getenv('USERPROFILE') '/Dropbox/AAM/eye_clm/mpii_data/'];
elseif(exist('D:\Dropbox/Dropbox/AAM/eye_clm/mpii_data/', 'file'))
database_root = 'D:\Dropbox/Dropbox/AAM/eye_clm/mpii_data/';
elseif(exist('/multicomp/datasets/mpii_gaze/mpii_data/', 'file'))
database_root = '/multicomp/datasets/mpii_gaze/mpii_data/';
else
fprintf('MPII gaze dataset not found\n');
end
output_loc = './gaze_estimates_MPII/';
if(~exist(output_loc, 'dir'))
mkdir(output_loc);
@ -18,7 +21,13 @@ end
output = './mpii_out/';
%% Perform actual gaze predictions
command = sprintf('"../../x64/Release/FaceLandmarkImg.exe" -fx 1028 -fy 1028 -gaze ');
if(isunix)
executable = '"../../build/bin/FaceLandmarkImg"';
else
executable = '"../../x64/Release/FaceLandmarkImg.exe"';
end
command = sprintf('%s -fx 1028 -fy 1028 -gaze ', executable);
p_dirs = dir([database_root, 'p*']);
parfor p=1:numel(p_dirs)
@ -30,7 +39,11 @@ parfor p=1:numel(p_dirs)
command_c = cat(2, command, input_loc, out_img_loc, out_p_loc);
command_c = cat(2, command_c, ' -wild');
if(isunix)
unix(command_c, '-echo');
else
dos(command_c);
end;
end
%%

BIN
matlab_runners/Gaze Experiments/mpii_1500_errs.mat
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BIN
matlab_runners/Head Pose Experiments/results/Pose_OF.mat
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6
matlab_runners/Head Pose Experiments/results/Pose_OF.txt
View file

@ -1,4 +1,4 @@
Dataset and model, pitch, yaw, roll, mean, median
biwi error: 7.955, 5.583, 4.403, 5.980, 2.624
bu error: 2.734, 3.350, 2.459, 2.848, 1.974
ict error: 3.610, 3.959, 3.369, 3.646, 1.967
biwi error: 7.955, 5.583, 4.402, 5.980, 2.624
bu error: 2.762, 4.103, 2.568, 3.145, 2.118
ict error: 3.620, 3.608, 3.626, 3.618, 2.028

35
matlab_runners/Head Pose Experiments/run_biwi_experiment.m
View file

@ -1,31 +1,26 @@
function [fps, resDir] = run_biwi_experiment(rootDir, biwiDir, outputDir, verbose, depth, version, varargin)
function [output_dir] = run_biwi_experiment(rootDir, biwiDir, verbose, depth, varargin)
% Biwi dataset experiment
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
end
output = 'Tracker_';
output_dir = 'experiments/biwi_out';
dbSeqDir = dir([rootDir biwiDir]);
% listing the output based on the current revision
output = [output 'r' num2str(version)];
if(depth)
output = cat(2, output, '_depth');
output_dir = cat(2, output_dir, '_depth');
end
outputDir = cat(2, outputDir, ['/' output '/']);
if(~exist([outputDir], 'dir'))
mkdir([outputDir]);
end
output_dir = cat(2, output_dir, '/');
offset = 0;
r = 1 + offset;
tic;
numTogether = 25;
@ -34,7 +29,7 @@ for i=3 + offset:numTogether:numel(dbSeqDir)
command = executable;
command = cat(2, command, [' -root ' '"' rootDir '"']);
command = cat(2, command, [' -inroot ' '"' rootDir '"']);
% deal with edge cases
if(numTogether + i > numel(dbSeqDir))
@ -44,7 +39,7 @@ for i=3 + offset:numTogether:numel(dbSeqDir)
for n=0:numTogether-1
inputFile = [biwiDir dbSeqDir(i+n).name '/colour.avi'];
outputFile = [outputDir dbSeqDir(i+n).name '.txt'];
outputFile = [output_dir dbSeqDir(i+n).name '.txt'];
command = cat(2, command, [' -f "' inputFile '" -of "' outputFile '"']);
@ -54,7 +49,7 @@ for i=3 + offset:numTogether:numel(dbSeqDir)
end
if(verbose)
outputVideo = [outputDir dbSeqDir(i).name '.avi'];
outputVideo = [output_dir dbSeqDir(i).name '.avi'];
command = cat(2, command, [' -ov "' outputVideo '"']);
end
end
@ -65,9 +60,9 @@ for i=3 + offset:numTogether:numel(dbSeqDir)
end
r = r+1;
if(isunix)
unix(command, '-echo')
else
dos(command);
end
timeTaken = toc;
fps = 15678 / timeTaken;
resDir = outputDir;
end

34
matlab_runners/Head Pose Experiments/run_bu_experiment.m
View file

@ -1,27 +1,21 @@
function [fps, resDir] = run_bu_experiment(bu_dir, verbose, version, varargin)
function [output_dir] = run_bu_experiment(bu_dir, verbose, varargin)
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
output = 'Tracker_';
% listing the output based on the current revision
output = [output 'r' num2str(version)];
output = cat(2, output, '/');
if(~exist([bu_dir output], 'dir'))
mkdir([bu_dir output]);
end
output_dir = 'experiments/bu_out/';
buFiles = dir([bu_dir '*.avi']);
numTogether = 25;
tic;
for i=1:numTogether:numel(buFiles)
command = executable;
command = cat(2, command, [' -root ' '"' bu_dir '/"']);
command = cat(2, command, [' -inroot ' '"' bu_dir '/"']);
% BU dataset orientation is in terms of camera plane, instruct the
% tracker to output it in that format
@ -37,12 +31,12 @@ function [fps, resDir] = run_bu_experiment(bu_dir, verbose, version, varargin)
[~, name, ~] = fileparts(inputFile);
% where to output results
outputFile = [output name '.txt'];
outputFile = [output_dir name '.txt'];
command = cat(2, command, [' -f "' inputFile '" -of "' outputFile '"']);
if(verbose)
outputVideo = ['"' output name '.avi' '"'];
outputVideo = ['"' output_dir name '.avi' '"'];
command = cat(2, command, [' -ov ' outputVideo]);
end
end
@ -53,13 +47,11 @@ function [fps, resDir] = run_bu_experiment(bu_dir, verbose, version, varargin)
command = cat(2, command, [' -mloc "', varargin{find(strcmp('model', varargin))+1}, '"']);
end
if(isunix)
unix(command, '-echo')
else
dos(command);
end
timeTaken = toc;
fps = 9000 / timeTaken;
% tell the caller where the output was written
resDir = [bu_dir output];
end
end

22
matlab_runners/Head Pose Experiments/run_head_pose_tests_OpenFace.m
View file

@ -8,38 +8,34 @@ if exist('D:/Datasets/HeadPose', 'file')
database_root = 'D:/Datasets/HeadPose/';
elseif(exist([getenv('USERPROFILE') '/Dropbox/AAM/test data/'], 'file'))
database_root = [getenv('USERPROFILE') '/Dropbox/AAM/test data/'];
else
elseif(exist([getenv('USERPROFILE') 'F:/Dropbox/Dropbox/AAM/test data/'], 'file'))
database_root = 'F:/Dropbox/Dropbox/AAM/test data/';
else
database_root = '/multicomp/datasets/head_pose_dbs/';
end
buDir = [database_root, '/bu/uniform-light/'];
% The fast and accurate clnf
%%
v = 3;
[fps_bu_OF, resFolderBU_OF] = run_bu_experiment(buDir, false, v, 'model', 'model/main_clnf_general.txt');
[resFolderBU_OF] = run_bu_experiment(buDir, false, 'model', 'model/main_clnf_general.txt');
[bu_error_OF, pred_hp_bu, gt_hp_bu, all_errors_bu_OF, rels_bu] = calcBUerror(resFolderBU_OF, buDir);
%%
% Run the Biwi test
biwi_dir = '/biwi pose/';
biwi_results_root = '/biwi pose results/';
% Intensity
v = 4;
[fps_biwi_OF, res_folder_OF] = run_biwi_experiment(database_root, biwi_dir, biwi_results_root, false, false, v, 'model', 'model/main_clnf_general.txt');
[res_folder_biwi_OF] = run_biwi_experiment(database_root, biwi_dir, false, false, 'model', 'model/main_clnf_general.txt');
% Calculate the resulting errors
[biwi_error_OF, pred_hp_biwi, gt_hp_biwi, ~, all_errors_biwi_OF, rels_biwi] = calcBiwiError([database_root res_folder_OF], [database_root biwi_dir]);
[biwi_error_OF, pred_hp_biwi, gt_hp_biwi, ~, all_errors_biwi_OF, rels_biwi] = calcBiwiError(res_folder_biwi_OF, [database_root biwi_dir]);
%% Run the ICT test
ict_dir = ['ict/'];
ict_results_root = ['ict results/'];
ict_dir = ['/ict/'];
v = 4;
% Intensity
[fps_ict_OF, res_folder_ict_OF] = run_ict_experiment(database_root, ict_dir, ict_results_root, false, false, v, 'model', 'model/main_clnf_general.txt');
[res_folder_ict_OF] = run_ict_experiment(database_root, ict_dir, false, false, 'model', 'model/main_clnf_general.txt');
% Calculate the resulting errors
[ict_error_OF, pred_hp_ict, gt_hp_ict, ~, all_errors_ict_OF, rel_ict] = calcIctError([database_root res_folder_ict_OF], [database_root ict_dir]);
[ict_error_OF, pred_hp_ict, gt_hp_ict, ~, all_errors_ict_OF, rel_ict] = calcIctError(res_folder_ict_OF, [database_root ict_dir]);
%% Save the results
filename = 'results/Pose_OF';

34
matlab_runners/Head Pose Experiments/run_ict_experiment.m
View file

@ -1,27 +1,22 @@
function [fps, resDir] = run_ict_experiment(rootDir, ictDir, outputRoot, verbose, depth, version, varargin)
function [output_dir] = run_ict_experiment(rootDir, ictDir, verbose, depth, varargin)
%EVALUATEICTDATABASE Summary of this function goes here
% Detailed explanation goes here
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
end
output = 'Tracker_';
output_dir = 'experiments/ict_out';
dbSeqDir = dir([rootDir ictDir]);
% listing the output based on the current revision
output = [output 'r' num2str(version)];
if(depth)
output = cat(2, output, '_depth');
output_dir = cat(2, output_dir, '_depth');
end
outputDir = cat(2, outputRoot, ['/' output '/']);
if(~exist([rootDir outputDir], 'dir'))
mkdir([rootDir outputDir]);
end
tic;
output_dir = cat(2, output_dir, '/');
numTogether = 10;
@ -29,7 +24,7 @@ for i=3:numTogether:numel(dbSeqDir)
command = [executable ' -fx 535 -fy 536 -cx 327 -cy 241 -no2Dfp -no3Dfp -noMparams -noAUs -noGaze '];
command = cat(2, command, [' -root ' '"' rootDir '/"']);
command = cat(2, command, [' -inroot ' '"' rootDir '/"']);
% deal with edge cases
if(numTogether + i > numel(dbSeqDir))
@ -39,7 +34,7 @@ for i=3:numTogether:numel(dbSeqDir)
for n=0:numTogether-1
inputFile = [ictDir dbSeqDir(i+n).name '/colour undist.avi'];
outputFile = [outputDir dbSeqDir(i+n).name '.txt'];
outputFile = [output_dir dbSeqDir(i+n).name '.txt'];
command = cat(2, command, [' -f "' inputFile '" -of "' outputFile '" ']);
@ -49,7 +44,7 @@ for i=3:numTogether:numel(dbSeqDir)
end
if(verbose)
outputVideo = [outputDir dbSeqDir(i+n).name '.avi'];
outputVideo = [output_dir dbSeqDir(i+n).name '.avi'];
command = cat(2, command, [' -ov "' outputVideo '"']);
end
end
@ -58,12 +53,13 @@ for i=3:numTogether:numel(dbSeqDir)
command = cat(2, command, [' -mloc "', varargin{find(strcmp('model', varargin))+1}, '"']);
end
if(isunix)
unix(command, '-echo')
else
dos(command);
end
end
timeTaken = toc;
fps = 10661 / timeTaken;
resDir = outputDir;
end

2
matlab_runners/Readme.txt
View file

@ -1,6 +1,6 @@
--------------------------------------- OpenFace Matlab runners -----------------------------------------------------------------------------
These are provided for recreation of some of the experiments described in the publications and to demonstrate the command line interface by calling the C++ executables from matlab. This is intended to test the Windows version of the code.
These are provided for recreation of some of the experiments described in the publications and to demonstrate the command line interface by calling the C++ executables from Matlab.
======================== Demos ==================================