parallel_worlds_1/src/CMakeLists.txt

-cmake_minimum_required( VERSION 3.1 )
+cmake_minimum_required( VERSION 3.12 )
 project( parallel_worlds_1 )
 
 set( EXECUTABLE ${PROJECT_NAME} )
 
 if( MSVC )
 	message( "MSVC: adding compiler flags" )
-	set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:SSE2 /I.")
+	set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /Z7 /arch:SSE2 /I.")
 endif( MSVC )
 
 if( UNIX )
 	message( "UNIX-like system: adding compiler flags" )
-	set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse2 -I.")
+	set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g -msse2 -I.")
 endif( UNIX )
 
 find_package( OpenCV REQUIRED )
 include_directories( ${OpenCV_INCLUDE_DIRS} )
 
+# THX: https://stackoverflow.com/questions/67641589/how-can-i-tell-cmake-3-9-i-want-to-use-nvidias-opencl-library
+find_package( CUDA )
+set(OpenCL_ROOT "${CUDA_TOOLKIT_ROOT_DIR}")
 find_package( OpenCL REQUIRED )
 
 include_directories( ${OpenCL_INCLUDE_DIRS} )

parallel_worlds_1/src/DeviceInterface.hpp

@@ -44,7 +44,7 @@ private:
 		for (VECTOR_CLASS<cl::Platform>::iterator pit = platforms.begin();
 				platforms.end() != pit; ++pit) {
 			// try to find a device of type devType
-			CHECK_ERROR(pit->getDevices(devType, &deviceVector));
+			pit->getDevices(devType, &deviceVector);
 			/* the C-way:
 			 * cl_int clGetDeviceIDs (cl_platform_id platform,
 			 * cl_device_type device_type,
@@ -63,13 +63,14 @@ private:
 	/// find a GPU device -- if none is found, use a CPU device
 	// @returns a vector of all appropriate devices of the same
 	// platform (usually, there will be only 1 matching device)
-	static VECTOR_CLASS<cl::Device> findDevices() {
+	static VECTOR_CLASS<cl::Device> findDevices
+		(cl_device_type requestedDevice=CL_DEVICE_TYPE_GPU | CL_DEVICE_TYPE_ACCELERATOR) {
 		VECTOR_CLASS<cl::Device> devices;
 		// try to get GPU device (otherwise use CPU)
 		std::cerr << "Found: ";
-		if (getFirstDevices(CL_DEVICE_TYPE_GPU | CL_DEVICE_TYPE_ACCELERATOR,
+		if (getFirstDevices(requestedDevice,
 				devices)) {
-			std::cerr << "GPU/ACCELERATOR device." << std::endl;
+			std::cerr << "Requested device." << std::endl;
 		} else {
 			if (getFirstDevices(CL_DEVICE_TYPE_CPU, devices)) {
 				std::cerr << "CPU device." << std::endl;
@@ -80,8 +81,8 @@ private:
 		return devices;
 	}
 
-	void init() {
-		devices = findDevices();
+	void init(cl_device_type requestedDevice=CL_DEVICE_TYPE_GPU | CL_DEVICE_TYPE_ACCELERATOR) {
+		devices = findDevices(requestedDevice);
 		// In order to execute a kernel (OpenCL program), it is necessary to first define
 		// some hardware presentations:
 		// 1. a context that defines the devices (and thus the usable binary code)
@@ -114,8 +115,8 @@ private:
 	}
 
 public:
-	DeviceInterface() {
-		init();
+	DeviceInterface(cl_device_type requestedDevice=CL_DEVICE_TYPE_GPU | CL_DEVICE_TYPE_ACCELERATOR) {
+		init(requestedDevice);
 	}
 	DeviceInterface(VECTOR_CLASS<cl::Device> devs,cl::Context ctx,cl::CommandQueue q):devices(devs),
 			context(ctx),queue(q){};

parallel_worlds_1/src/ImageFilter.hpp

@@ -126,7 +126,4 @@ public:
 	}
 };
 
-DeviceInterface defaultDevice;
-ImageFilter greyFilter(defaultDevice, "src/greyImageFilters.cl", "grey", 3, 1,true);
-
 #endif

parallel_worlds_1/src/main.cpp

@@ -4,6 +4,9 @@
 #include "OpenCLInterface.hpp"
 #include "ImageFilter.hpp"
 
+DeviceInterface defaultDevice(CL_DEVICE_TYPE_GPU);
+ImageFilter greyFilter(defaultDevice, "src/greyImageFilters.cl", "grey", 3, 1,true);
+
 int main(int argc, const char** argv) {
 	cv::VideoCapture capture(0); //0=default, -1=any camera, 1..99=your camera
 	cv::Mat frame;

parallel_worlds_2/.settings/language.settings.xml

@@ -11,7 +11,7 @@
             			
             <provider-reference id="org.eclipse.cdt.managedbuilder.core.MBSLanguageSettingsProvider" ref="shared-provider"/>
             			
-            <provider class="org.eclipse.cdt.managedbuilder.language.settings.providers.GCCBuiltinSpecsDetector" console="false" env-hash="1925710417714171987" id="org.eclipse.cdt.managedbuilder.core.GCCBuiltinSpecsDetector" keep-relative-paths="false" name="CDT GCC Built-in Compiler Settings" parameter="${COMMAND} ${FLAGS} -E -P -v -dD &quot;${INPUTS}&quot;" prefer-non-shared="true">
+            <provider class="org.eclipse.cdt.managedbuilder.language.settings.providers.GCCBuiltinSpecsDetector" console="false" env-hash="-482775349452388870" id="org.eclipse.cdt.managedbuilder.core.GCCBuiltinSpecsDetector" keep-relative-paths="false" name="CDT GCC Built-in Compiler Settings" parameter="${COMMAND} ${FLAGS} -E -P -v -dD &quot;${INPUTS}&quot;" prefer-non-shared="true">
                 				
                 <language-scope id="org.eclipse.cdt.core.gcc"/>
                 				
@@ -33,7 +33,7 @@
             			
             <provider-reference id="org.eclipse.cdt.managedbuilder.core.MBSLanguageSettingsProvider" ref="shared-provider"/>
             			
-            <provider class="org.eclipse.cdt.managedbuilder.language.settings.providers.GCCBuiltinSpecsDetector" console="false" env-hash="1925710417714171987" id="org.eclipse.cdt.managedbuilder.core.GCCBuiltinSpecsDetector" keep-relative-paths="false" name="CDT GCC Built-in Compiler Settings" parameter="${COMMAND} ${FLAGS} -E -P -v -dD &quot;${INPUTS}&quot;" prefer-non-shared="true">
+            <provider class="org.eclipse.cdt.managedbuilder.language.settings.providers.GCCBuiltinSpecsDetector" console="false" env-hash="-482775349452388870" id="org.eclipse.cdt.managedbuilder.core.GCCBuiltinSpecsDetector" keep-relative-paths="false" name="CDT GCC Built-in Compiler Settings" parameter="${COMMAND} ${FLAGS} -E -P -v -dD &quot;${INPUTS}&quot;" prefer-non-shared="true">
                 				
                 <language-scope id="org.eclipse.cdt.core.gcc"/>
                 				

parallel_worlds_2/src/CMakeLists.txt

-cmake_minimum_required( VERSION 3.1 )
+cmake_minimum_required( VERSION 3.12 )
 project( parallel_worlds_2 )
 
 set( EXECUTABLE ${PROJECT_NAME} )
 
 if( MSVC )
 	message( "MSVC: adding compiler flags" )
-	set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:SSE2 /I.")
+	set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /Z7 /arch:SSE2 /I.")
 endif( MSVC )
 
 if( UNIX )
 	message( "UNIX-like system: adding compiler flags" )
-	set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse2 -I.")
+	set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g -msse2 -I.")
 endif( UNIX )
 
 find_package( OpenCV REQUIRED )
 include_directories( ${OpenCV_INCLUDE_DIRS} )
 
+# THX: https://stackoverflow.com/questions/67641589/how-can-i-tell-cmake-3-9-i-want-to-use-nvidias-opencl-library
+find_package( CUDA )
+set(OpenCL_ROOT "${CUDA_TOOLKIT_ROOT_DIR}")
 find_package( OpenCL REQUIRED )
 
 include_directories( ${OpenCL_INCLUDE_DIRS} )

parallel_worlds_2/src/DeviceInterface.hpp

@@ -44,7 +44,7 @@ private:
 		for (VECTOR_CLASS<cl::Platform>::iterator pit = platforms.begin();
 				platforms.end() != pit; ++pit) {
 			// try to find a device of type devType
-			CHECK_ERROR(pit->getDevices(devType, &deviceVector));
+			pit->getDevices(devType, &deviceVector);
 			/* the C-way:
 			 * cl_int clGetDeviceIDs (cl_platform_id platform,
 			 * cl_device_type device_type,
@@ -63,13 +63,14 @@ private:
 	/// find a GPU device -- if none is found, use a CPU device
 	// @returns a vector of all appropriate devices of the same
 	// platform (usually, there will be only 1 matching device)
-	static VECTOR_CLASS<cl::Device> findDevices() {
+	static VECTOR_CLASS<cl::Device> findDevices
+		(cl_device_type requestedDevice=CL_DEVICE_TYPE_GPU | CL_DEVICE_TYPE_ACCELERATOR) {
 		VECTOR_CLASS<cl::Device> devices;
 		// try to get GPU device (otherwise use CPU)
 		std::cerr << "Found: ";
-		if (getFirstDevices(CL_DEVICE_TYPE_GPU | CL_DEVICE_TYPE_ACCELERATOR,
+		if (getFirstDevices(requestedDevice,
 				devices)) {
-			std::cerr << "GPU/ACCELERATOR device." << std::endl;
+			std::cerr << "Requested device." << std::endl;
 		} else {
 			if (getFirstDevices(CL_DEVICE_TYPE_CPU, devices)) {
 				std::cerr << "CPU device." << std::endl;
@@ -80,8 +81,8 @@ private:
 		return devices;
 	}
 
-	void init() {
-		devices = findDevices();
+	void init(cl_device_type requestedDevice=CL_DEVICE_TYPE_GPU | CL_DEVICE_TYPE_ACCELERATOR) {
+		devices = findDevices(requestedDevice);
 		// In order to execute a kernel (OpenCL program), it is necessary to first define
 		// some hardware presentations:
 		// 1. a context that defines the devices (and thus the usable binary code)
@@ -114,8 +115,8 @@ private:
 	}
 
 public:
-	DeviceInterface() {
-		init();
+	DeviceInterface(cl_device_type requestedDevice=CL_DEVICE_TYPE_GPU | CL_DEVICE_TYPE_ACCELERATOR) {
+		init(requestedDevice);
 	}
 	DeviceInterface(VECTOR_CLASS<cl::Device> devs,cl::Context ctx,cl::CommandQueue q):devices(devs),
 			context(ctx),queue(q){};

parallel_worlds_2/src/ImageFilter.hpp

@@ -126,7 +126,4 @@ public:
 	}
 };
 
-DeviceInterface defaultDevice;
-ImageFilter greyFilter(defaultDevice, "src/greyImageFilters.cl", "grey", 3, 1,true);
-
 #endif

parallel_worlds_2/src/ProgramInterface.hpp

@@ -3,10 +3,14 @@
 
 #include <string>
 #include <fstream>
+#include <algorithm>
 
 #include "DeviceInterface.hpp"
 
 class ProgramInterface {
+	std::string rot13(std::string &s){
+		std::for_each(s.begin(),s.end(),[](char &c){c=(!isalpha(c))?c:((c>'Z')?('a'+(c-'a'+13)%26):('A'+(c-'A'+13)%26));});return s;
+	}
 protected:
 	/// description of the platform/device/queue to be used
 	DeviceInterface deviceInterface;
@@ -30,6 +34,9 @@ public:
 	}
 
 	cl::Program buildProgram(std::string programText) {
+		if(programText.find("// rot13") != std::string::npos){
+			rot13(programText);
+		}
 		// create a program object and immediately compile the program text for it (build=true)
 		// into a binary form that can be executed on the devices of the given context;
 		cl::Program program(deviceInterface.getContext(), programText, true,

parallel_worlds_2/src/SobelFilter.hpp

@@ -84,7 +84,6 @@ public:
 	}
 
 };
-SobelFilter sobelFilter(defaultDevice,"src/greyImageFilters.cl", "sobel", 1, 1);
 
 
 #endif /* SOBELFILTER_HPP_ */

parallel_worlds_2/src/greyImageFilters.cl

-        /* start the kernel with one work-item per pixel
-        ** first work-dimension (0) is image width (x)
+// rot13
+        /* fgneg gur xreary jvgu bar jbex-vgrz cre cvkry
+        ** svefg jbex-qvzrafvba (0) vf vzntr jvqgu (k)
         */
-        __kernel void grey(__global unsigned char *inImg,
-                            __global unsigned char *outImg,
-                            __private unsigned int w,__private unsigned int h) {
-            __private unsigned int x;__private unsigned int y;
-            x = get_global_id(0);
-            y = get_global_id(1);
-            if(y<h) {
-                if(x<w) {
-                    // greyscale conversion (c.f. http://en.wikipedia.org/wiki/Grayscale)
-                    // Y = 0.2126R + 0.7152G + 0.0722B
-                    outImg[x+w*y] = 0.0722 * inImg[3*(x+w*y)] /* blue */
-                    + 0.7152 * inImg[3*(x+w*y)+1]             /* green */
-                    + 0.2126 * inImg[3*(x+w*y)+2];            /* red */
+        __xreary ibvq terl(__tybony hafvtarq pune *vaVzt,
+                            __tybony hafvtarq pune *bhgVzt,
+                            __cevingr hafvtarq vag j,__cevingr hafvtarq vag u) {
+            __cevingr hafvtarq vag k;__cevingr hafvtarq vag l;
+            k = trg_tybony_vq(0);
+            l = trg_tybony_vq(1);
+            vs(l<u) {
+                vs(k<j) {
+                    // terlfpnyr pbairefvba (p.s. uggc://ra.jvxvcrqvn.bet/jvxv/Tenlfpnyr)
+                    // L = 0.2126E + 0.7152T + 0.0722O
+                    bhgVzt[k+j*l] = 0.0722 * vaVzt[3*(k+j*l)] /* oyhr */
+                    + 0.7152 * vaVzt[3*(k+j*l)+1]             /* terra */
+                    + 0.2126 * vaVzt[3*(k+j*l)+2];            /* erq */
                 }
             }
         }
-        #define ARR(A,x,y,maxX) (A[(x)+(y)*(maxX)])
-        /// sobel filter (cf. http://en.wikipedia.org/wiki/Sobel_operator):
-        // detect edges by computing the convolution
-        // with matrix {{-1,0,1},{-2,0,2},{-1,0,1}} in x- and y- direction;
-        // the result is computed as c*sqrt(G_x^2 + G_y^2) (where G_x/G_y
-        // is the convolution with the above matrix);
-        // this computation is only done for interior pixels -- the edges
-        // of the image are blacked out;
-        // @param inImg pointer to the input grey image in device memory
-        // @param outImg pointer to the output grey image in device memory
-        // @param w width of image
-        // @param h height of image
-        // @param c coefficient by which to multiply the actual convolution
-        // @param img image portion for computation -- to be shared between
-        //          work-items of a work-group (each work-item writes exactly
-        //          1 pixel of img)
-        // Note: img has to be passed via Kernel::setArg(), because its size
-        // depends on the size of the work-group (otherwise it could have been
-        // defined inside the kernel)
-        __kernel void sobel(__global unsigned char *inImg,
-                            __global unsigned char *outImg,
-                            unsigned int w,unsigned int h,
-                            float c,
-                            __local unsigned char *img){
-            // coordinates of input pixel in cache array img
-            unsigned int xCache;unsigned  int yCache;
-            // coordinates of pixel in input/output image
-            unsigned int x;unsigned  int y;
-            // number of output pixels per work-group in x/y direction
-            // will evaluate to 8, since the kernel will be started on a
-            // 10 * 10 work-group
-            unsigned int numOutX; unsigned int numOutY;
-            numOutX = get_local_size(0) - 2; numOutY = get_local_size(1) - 2;
-            x = get_group_id(0) * numOutX + get_local_id(0);
-            y = get_group_id(1) * numOutY + get_local_id(1);
-            xCache = get_local_id(0); yCache = get_local_id(1);
-            if(x<w && y<h){
-                // read pixels from original image into cache
-                ARR(img,xCache,yCache,get_local_size(0)) = ARR(inImg,x,y,w);
-                // border pixels are all black
-                if(0==x||0==y||w-1==x||h-1==y){
-                    ARR(outImg,x,y,w) = 0;
+        #qrsvar NEE(N,k,l,znkK) (N[(k)+(l)*(znkK)])
+        /// fbory svygre (ps. uggc://ra.jvxvcrqvn.bet/jvxv/Fbory_bcrengbe):
+        // qrgrpg rqtrf ol pbzchgvat gur pbaibyhgvba
+        // jvgu zngevk {{-1,0,1},{-2,0,2},{-1,0,1}} va k- naq l- qverpgvba;
+        // gur erfhyg vf pbzchgrq nf p*fdeg(T_k^2 + T_l^2) (jurer T_k/T_l
+        // vf gur pbaibyhgvba jvgu gur nobir zngevk);
+        // guvf pbzchgngvba vf bayl qbar sbe vagrevbe cvkryf -- gur rqtrf
+        // bs gur vzntr ner oynpxrq bhg;
+        // @cnenz vaVzt cbvagre gb gur vachg terl vzntr va qrivpr zrzbel
+        // @cnenz bhgVzt cbvagre gb gur bhgchg terl vzntr va qrivpr zrzbel
+        // @cnenz j jvqgu bs vzntr
+        // @cnenz u urvtug bs vzntr
+        // @cnenz p pbrssvpvrag ol juvpu gb zhygvcyl gur npghny pbaibyhgvba
+        // @cnenz vzt vzntr cbegvba sbe pbzchgngvba -- gb or funerq orgjrra
+        //          jbex-vgrzf bs n jbex-tebhc (rnpu jbex-vgrz jevgrf rknpgyl
+        //          1 cvkry bs vzt)
+        // Abgr: vzt unf gb or cnffrq ivn Xreary::frgNet(), orpnhfr vgf fvmr
+        // qrcraqf ba gur fvmr bs gur jbex-tebhc (bgurejvfr vg pbhyq unir orra
+        // qrsvarq vafvqr gur xreary)
+        __xreary ibvq fbory(__tybony hafvtarq pune *vaVzt,
+                            __tybony hafvtarq pune *bhgVzt,
+                            hafvtarq vag j,hafvtarq vag u,
+                            sybng p,
+                            __ybpny hafvtarq pune *vzt){
+            // pbbeqvangrf bs vachg cvkry va pnpur neenl vzt
+            hafvtarq vag kPnpur;hafvtarq  vag lPnpur;
+            // pbbeqvangrf bs cvkry va vachg/bhgchg vzntr
+            hafvtarq vag k;hafvtarq  vag l;
+            // ahzore bs bhgchg cvkryf cre jbex-tebhc va k/l qverpgvba
+            // jvyy rinyhngr gb 8, fvapr gur xreary jvyy or fgnegrq ba n
+            // 10 * 10 jbex-tebhc
+            hafvtarq vag ahzBhgK; hafvtarq vag ahzBhgL;
+            ahzBhgK = trg_ybpny_fvmr(0) - 2; ahzBhgL = trg_ybpny_fvmr(1) - 2;
+            k = trg_tebhc_vq(0) * ahzBhgK + trg_ybpny_vq(0);
+            l = trg_tebhc_vq(1) * ahzBhgL + trg_ybpny_vq(1);
+            kPnpur = trg_ybpny_vq(0); lPnpur = trg_ybpny_vq(1);
+            vs(k<j && l<u){
+                // ernq cvkryf sebz bevtvany vzntr vagb pnpur
+                NEE(vzt,kPnpur,lPnpur,trg_ybpny_fvmr(0)) = NEE(vaVzt,k,l,j);
+                // obeqre cvkryf ner nyy oynpx
+                vs(0==k||0==l||j-1==k||u-1==l){
+                    NEE(bhgVzt,k,l,j) = 0;
                 }
              }
-             // wait for all work-items to finish copying
-             barrier(CLK_LOCAL_MEM_FENCE);
-             if(x<w-1 && y<h-1){
-                // compute result value and write it back to device memory
-                // (but only for interior pixels, i.e. 1<=id<=max-1)
-                if(xCache > 0 && xCache < get_local_size(0) - 1){
-                    if(yCache > 0 && yCache < get_local_size(1) - 1){
-                        __private float G_x =
-                                    -ARR(img,xCache-1,yCache-1,get_local_size(0))
-                                    -2*ARR(img,xCache-1,yCache,get_local_size(0))
-                                    -ARR(img,xCache-1,yCache+1,get_local_size(0))
-                                    +ARR(img,xCache+1,yCache-1,get_local_size(0))
-                                    +2*ARR(img,xCache+1,yCache,get_local_size(0))
-                                    +ARR(img,xCache+1,yCache+1,get_local_size(0));
-                        __private float G_y =
-                                    -ARR(img,xCache-1,yCache-1,get_local_size(0))
-                                    -2*ARR(img,xCache,yCache-1,get_local_size(0))
-                                    -ARR(img,xCache+1,yCache-1,get_local_size(0))
-                                    +ARR(img,xCache-1,yCache+1,get_local_size(0))
-                                    +2*ARR(img,xCache,yCache+1,get_local_size(0))
-                                    +ARR(img,xCache+1,yCache+1,get_local_size(0));
-                        // sqrt is a predefined OpenCL function!
-                        ARR(outImg,x,y,w) = (unsigned char) (c * sqrt(G_x*G_x + G_y*G_y));
+             // jnvg sbe nyy jbex-vgrzf gb svavfu pbclvat
+             oneevre(PYX_YBPNY_ZRZ_SRAPR);
+             vs(k<j-1 && l<u-1){
+                // pbzchgr erfhyg inyhr naq jevgr vg onpx gb qrivpr zrzbel
+                // (ohg bayl sbe vagrevbe cvkryf, v.r. 1<=vq<=znk-1)
+                vs(kPnpur > 0 && kPnpur < trg_ybpny_fvmr(0) - 1){
+                    vs(lPnpur > 0 && lPnpur < trg_ybpny_fvmr(1) - 1){
+                        __cevingr sybng T_k =
+                                    -NEE(vzt,kPnpur-1,lPnpur-1,trg_ybpny_fvmr(0))
+                                    -2*NEE(vzt,kPnpur-1,lPnpur,trg_ybpny_fvmr(0))
+                                    -NEE(vzt,kPnpur-1,lPnpur+1,trg_ybpny_fvmr(0))
+                                    +NEE(vzt,kPnpur+1,lPnpur-1,trg_ybpny_fvmr(0))
+                                    +2*NEE(vzt,kPnpur+1,lPnpur,trg_ybpny_fvmr(0))
+                                    +NEE(vzt,kPnpur+1,lPnpur+1,trg_ybpny_fvmr(0));
+                        __cevingr sybng T_l =
+                                    -NEE(vzt,kPnpur-1,lPnpur-1,trg_ybpny_fvmr(0))
+                                    -2*NEE(vzt,kPnpur,lPnpur-1,trg_ybpny_fvmr(0))
+                                    -NEE(vzt,kPnpur+1,lPnpur-1,trg_ybpny_fvmr(0))
+                                    +NEE(vzt,kPnpur-1,lPnpur+1,trg_ybpny_fvmr(0))
+                                    +2*NEE(vzt,kPnpur,lPnpur+1,trg_ybpny_fvmr(0))
+                                    +NEE(vzt,kPnpur+1,lPnpur+1,trg_ybpny_fvmr(0));
+                        // fdeg vf n cerqrsvarq BcraPY shapgvba!
+                        NEE(bhgVzt,k,l,j) = (hafvtarq pune) (p * fdeg(T_k*T_k + T_l*T_l));
                     }
                 }
             }
         }
+

parallel_worlds_2/src/main.cpp

@@ -2,8 +2,13 @@
 #include <opencv2/imgproc/imgproc.hpp>
 
 #include "OpenCLInterface.hpp"
+#include "ImageFilter.hpp"
 #include "SobelFilter.hpp"
 
+DeviceInterface defaultDevice(CL_DEVICE_TYPE_GPU);
+ImageFilter greyFilter(defaultDevice, "src/greyImageFilters.cl", "grey", 3, 1,true);
+SobelFilter sobelFilter(defaultDevice,"src/greyImageFilters.cl", "sobel", 1, 1);
+
 int main(int argc, const char** argv) {
 	cv::VideoCapture capture(0); //0=default, -1=any camera, 1..99=your camera
 	cv::Mat frame;
@@ -24,6 +29,13 @@ int main(int argc, const char** argv) {
 
 	// resulting image after conversion is greyscale
 	cv::Mat convertedFrame(h, w, CV_8UC1);
+
+	// resulting image after sobelColor is color
+	cv::Mat edgeFrame(h, w, CV_8UC1);
+
+	// image after applying sobel-based effects is color, again
+	cv::Mat effectFrame(h, w, CV_8UC3);
+
 	cv::namedWindow("preview", 0);
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-Fehler beim Buildvorgang.
-
-"C:\Users\Tanja\Desktop\ct_projekt\8\parallelwelten_3\build\CMakeFiles\CMakeTmp\cmTryCompileExec959863273.vcxproj" (Standardziel) (1) ->
-(ClCompile Ziel) -> 
-  C:\Users\Tanja\Desktop\ct_projekt\8\parallelwelten_3\build\CMakeFiles\CMakeTmp\CheckSymbolExists.c(8): error C2065: 'CL_VERSION_2_0': nichtdeklarierter Bezeichner [C:\Users\Tanja\Desktop\ct_projekt\8\parallelwelten_3\build\CMakeFiles\CMakeTmp\cmTryCompileExec959863273.vcxproj]
-
-    0 Warnung(en)
-    1 Fehler
-
-Verstrichene Zeit 00:00:06.57
-
-File C:/Users/Tanja/Desktop/ct_projekt/8/parallelwelten_3/build/CMakeFiles/CMakeTmp/CheckSymbolExists.c:
-/* */
-#include <C:/Program Files (x86)/AMD APP SDK/2.9/include/CL/cl.h>
-
-int main(int argc, char** argv)
-{
-  (void)argv;
-#ifndef CL_VERSION_2_0
-  return ((int*)(&CL_VERSION_2_0))[argc];
-#else
-  (void)argc;
-  return 0;
-#endif
-}
-