One Millisecond Face Alignment with an Ensemble of Regression Trees by Vahid Kazemi and Josephine SullivanThe implementation of facial landmark extraction is fast enough, and it has 68 landmarks. Therefore, I spent a while to implement this feature to Android platform.
$ sudo apt-get install apache2
$ git clone https://github.com/tzutalin/tzutalin.github.io.git
$ cd tzutalin.github.io; sudo cp -rf . /var/www/html/
private $class$() { } private static class $class$LazyHolder { private static final $class$ INSTANCE = new $class$(); } public static $class$ getInstance() { return $class$LazyHolder.INSTANCE; }
$ lsusb–v
$ sudo apt-get install ros-fuerte-openni-kinect
if it is 0601 not 0600(old verison)
$ sudo apt-get install --reinstall libopenni-sensor-primesense0
$ sudo gedit /etc/openni/GlobalDefaults.ini
Set `UsbInterface=2`
$ sudo reboot$ roscore
$ roslaunch openni_launch openni.launch$ rosrun image_view image_view image:=/camera/rgb/image_color
$ rosrun image_view image_view image:=/camera/depth/image
$ git clone https://github.com/jefftee/dvo_slam.git$ rosmake dvo_core dvo_ros dvo_slam dvo_benchmark$ git clone -b fuerte https://github.com/tum-vision/dvo_slam.git$ git clone -b fuerte git@bitbucket.org:TzuTaLin/dvo_slam.git
$ export ROS_PACKAGE_PATH=$ROS_PACKAGE_PATH:~/dvo_slam
$ sudo apt-get install ros-fuerte-libg2o liblapack-dev libblas-dev freeglut3-dev libqglviewer-qt4-dev libsuitesparse-dev libx11-dev
$ rosmake dvo_core dvo_ros dvo_slam dvo_benchmark
$ roscd your_package_name && make clean
$ roslaunch dvo_slam qucikstart.lauch$ associate.py rgb.txt depth.txt > assoc.txt$ roslaunch dvo_benchmark benchmark.launch keep_alive
or
$ roslaunch dvo_benchmark benchmark.launch$ rosrun rqt rq-DWITH_CUDA=OFF to your cmake command line.
$ sudo apt-get install ros-indigo-rgbd-launch ros-indigo-openni2-camera ros-indigo-openni2-launch$ roscore$ roslaunch openni2_launch openni2.launch$ rosrun rviz rviz
#include <boost/filesystem.hpp>
namespace fs = boost::filesystem;
std::string dirPath = "/home/darrenl/Pictures/person";
fs::path someDir(dirPath);
fs::directory_iterator end_iter;
typedef std::multimap<std::time_t, fs::path> result_set_t;
result_set_t result_set;
if (fs::exists(someDir) && fs::is_directory(someDir)) {
for (fs::directory_iterator dir_iter(someDir); dir_iter != end_iter;
++dir_iter) {
if (fs::is_regular_file(dir_iter->status())) {
result_set.insert(
result_set_t::value_type(
fs::last_write_time(dir_iter->path()),
*dir_iter));
LOG(INFO)<< dir_iter->path().string();
}
}
}