#1 Add docker support

DenseFace3D.cpp

@@ -23,8 +23,7 @@ along with DenseFace3D.  If not, see <http://www.gnu.org/licenses/>.
 #include <iostream>
 #include <fstream>
 
-#include "cv.h"
-#include "highgui.h"
+#include "opencv2/opencv.hpp"
 
 #include <dlib/opencv.h>
 #include <opencv2/highgui/highgui.hpp>

Dockerfile

@@ -0,0 +1,51 @@
+FROM ubuntu:18.04
+
+RUN apt-get update
+
+RUN apt-get install -y wget nano
+
+RUN apt-get install -y build-essential cmake pkg-config
+
+# OpenBLAS and X11
+RUN apt-get install -y libopenblas-dev liblapack-dev libx11-dev 
+
+RUN apt-get install -y unzip
+
+# OpenGL
+RUN apt-get install -y libgl1-mesa-dev
+
+# GLUT
+RUN apt-get install -y freeglut3-dev
+
+# Boost
+RUN apt-get install -y libboost-all-dev
+
+# Load OpenCV 4.x
+RUN wget -O opencv.zip https://github.com/opencv/opencv/archive/4.x.zip; \
+unzip opencv.zip; \
+cd opencv-4.x/; \
+mkdir build; \
+cd build/; \
+cmake ..; \
+cmake --build .; \
+make install; \
+ldconfig; \
+cd ../../;
+
+RUN rm opencv.zip
+
+# Load dlib 19.22
+RUN wget http://dlib.net/files/dlib-19.22.tar.bz2; \
+	tar xvf dlib-19.22.tar.bz2; \
+	cd dlib-19.22/; \
+	mkdir build; \
+	cd build; \
+	cmake ..; \
+	cmake --build . --config Release; \
+	make install; \
+    ldconfig; \
+	cd ../../;
+
+RUN rm dlib-19.22.tar.bz2
+
+RUN apt-get install -y bzip2

OGL_OCV_common.cpp

@@ -101,7 +101,7 @@ void copyImgToTex(const Mat& _tex_img, GLuint* texID, double* _twr, double* _thr
 	if (tex_img.type() == region.type()) {
 		tex_img.copyTo(region);
 	} else if (tex_img.type() == CV_8UC1) {
-		cvtColor(tex_img, region, CV_GRAY2BGR);
+		cvtColor(tex_img, region, COLOR_GRAY2BGR);
 	} else {
 		tex_img.convertTo(region, CV_8UC3, 255.0);
 	}

README.md

@@ -22,6 +22,28 @@ Note: Please make sure `conn.txt` and `landmark.txt`
 and dlib's default face landmarking model file shape_predictor_68_face_landmarks.dat (download [here](http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2))
 are in the same directory as the executable.
 
+##### Installation with Docker  
+Install [Docker](https://www.docker.com/), clone project from git and build docker image:  
+```bash  
+docker build -t dense-face-3d:latest .
+```  
+
+Then disable access to X server:  
+```bash  
+xhost +
+```  
+
+Launch container with the following params to use GUI (do not forget to specify absolute path to project):  
+```bash  
+docker run -it --rm --privileged \
+--network host --tmpfs=/tmp \
+ -v /tmp/.X11-unix:/tmp/.X11-unix:ro \
+ -e DISPLAY=:0 -e QT_X11_NO_MITSHM=1 \
+ -v <ABSOLUTE PATH TO PROJECT>:/DenseFace3D \
+ --name=dense_container dense-face-3d:latest
+```  
+Then in container follow the installation instructions.  
+
 ##### Installation:
 
 `mkdir build`

ThinPlateSpline.h

@@ -65,7 +65,7 @@ class ThinPlateSpline {
     double bending_energy = 0.0;
     int p;
     boost::numeric::ublas::matrix<double> mtx_l,mtx_v,mtx_orig_k,valid;
-    bool READY = FALSE;
+    bool READY = false;
     ThinPlateSpline(int p);
     void insert(const std::vector<long>& x_coor, const std::vector<long>& y_coor, const std::vector<long>& z_coor);
     void calc_tps();