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  • OpenGL - Frustum not culling polygons beyond far plane

    - by Pladnius Brooks
    I have implemented frustum culling and am checking the bounding box for its intersection with the frustum planes. I added the ability to pause frustum updates which lets me see if the frustum culling has been working correctly. When I turn around after I have paused it, nothing renders behind me and to the left and right side, they taper off as well just as you would expect. Beyond the clip distance (far plane), they still render and I am not sure whether it is a problem with my frustum updating or bounding box checking code or I am using the wrong matrix or what. As I put the distance in the projection matrix at 3000.0f, it still says that bounding boxes well past that are still in the frustum, which isn't the case. Here is where I create my modelview matrix: projectionMatrix = glm::perspective(newFOV, 4.0f / 3.0f, 0.1f, 3000.0f); viewMatrix = glm::mat4(1.0); viewMatrix = glm::scale(viewMatrix, glm::vec3(1.0, 1.0, -1.0)); viewMatrix = glm::rotate(viewMatrix, anglePitch, glm::vec3(1.0, 0.0, 0.0)); viewMatrix = glm::rotate(viewMatrix, angleYaw, glm::vec3(0.0, 1.0, 0.0)); viewMatrix = glm::translate(viewMatrix, glm::vec3(-x, -y, -z)); modelViewProjectiomMatrix = projectionMatrix * viewMatrix; The reason I scale it by -1 in the Z direction is because the levels were designed to be rendered with DirectX so I reverse the Z direction. Here is where I update my frustum: void CFrustum::calculateFrustum() { glm::mat4 mat = camera.getModelViewProjectionMatrix(); // Calculate the LEFT side m_Frustum[LEFT][A] = (mat[0][3]) + (mat[0][0]); m_Frustum[LEFT][B] = (mat[1][3]) + (mat[1][0]); m_Frustum[LEFT][C] = (mat[2][3]) + (mat[2][0]); m_Frustum[LEFT][D] = (mat[3][3]) + (mat[3][0]); // Calculate the RIGHT side m_Frustum[RIGHT][A] = (mat[0][3]) - (mat[0][0]); m_Frustum[RIGHT][B] = (mat[1][3]) - (mat[1][0]); m_Frustum[RIGHT][C] = (mat[2][3]) - (mat[2][0]); m_Frustum[RIGHT][D] = (mat[3][3]) - (mat[3][0]); // Calculate the TOP side m_Frustum[TOP][A] = (mat[0][3]) - (mat[0][1]); m_Frustum[TOP][B] = (mat[1][3]) - (mat[1][1]); m_Frustum[TOP][C] = (mat[2][3]) - (mat[2][1]); m_Frustum[TOP][D] = (mat[3][3]) - (mat[3][1]); // Calculate the BOTTOM side m_Frustum[BOTTOM][A] = (mat[0][3]) + (mat[0][1]); m_Frustum[BOTTOM][B] = (mat[1][3]) + (mat[1][1]); m_Frustum[BOTTOM][C] = (mat[2][3]) + (mat[2][1]); m_Frustum[BOTTOM][D] = (mat[3][3]) + (mat[3][1]); // Calculate the FRONT side m_Frustum[FRONT][A] = (mat[0][3]) + (mat[0][2]); m_Frustum[FRONT][B] = (mat[1][3]) + (mat[1][2]); m_Frustum[FRONT][C] = (mat[2][3]) + (mat[2][2]); m_Frustum[FRONT][D] = (mat[3][3]) + (mat[3][2]); // Calculate the BACK side m_Frustum[BACK][A] = (mat[0][3]) - (mat[0][2]); m_Frustum[BACK][B] = (mat[1][3]) - (mat[1][2]); m_Frustum[BACK][C] = (mat[2][3]) - (mat[2][2]); m_Frustum[BACK][D] = (mat[3][3]) - (mat[3][2]); // Normalize all the sides NormalizePlane(m_Frustum, LEFT); NormalizePlane(m_Frustum, RIGHT); NormalizePlane(m_Frustum, TOP); NormalizePlane(m_Frustum, BOTTOM); NormalizePlane(m_Frustum, FRONT); NormalizePlane(m_Frustum, BACK); } And finally, where I check the bounding box: bool CFrustum::BoxInFrustum( float x, float y, float z, float x2, float y2, float z2) { // Go through all of the corners of the box and check then again each plane // in the frustum. If all of them are behind one of the planes, then it most // like is not in the frustum. for(int i = 0; i < 6; i++ ) { if(m_Frustum[i][A] * x + m_Frustum[i][B] * y + m_Frustum[i][C] * z + m_Frustum[i][D] > 0) continue; if(m_Frustum[i][A] * x2 + m_Frustum[i][B] * y + m_Frustum[i][C] * z + m_Frustum[i][D] > 0) continue; if(m_Frustum[i][A] * x + m_Frustum[i][B] * y2 + m_Frustum[i][C] * z + m_Frustum[i][D] > 0) continue; if(m_Frustum[i][A] * x2 + m_Frustum[i][B] * y2 + m_Frustum[i][C] * z + m_Frustum[i][D] > 0) continue; if(m_Frustum[i][A] * x + m_Frustum[i][B] * y + m_Frustum[i][C] * z2 + m_Frustum[i][D] > 0) continue; if(m_Frustum[i][A] * x2 + m_Frustum[i][B] * y + m_Frustum[i][C] * z2 + m_Frustum[i][D] > 0) continue; if(m_Frustum[i][A] * x + m_Frustum[i][B] * y2 + m_Frustum[i][C] * z2 + m_Frustum[i][D] > 0) continue; if(m_Frustum[i][A] * x2 + m_Frustum[i][B] * y2 + m_Frustum[i][C] * z2 + m_Frustum[i][D] > 0) continue; // If we get here, it isn't in the frustum return false; } // Return a true for the box being inside of the frustum return true; }

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  • How To Harden PHP5 With Suhosin On CentOS 5.4

    <b>Howtoforge:</b> "This tutorial shows how to harden PHP5 with Suhosin on a CentOS 5.4 server. From the Suhosin project page: "Suhosin is an advanced protection system for PHP installations that was designed to protect servers and users from known and unknown flaws in PHP applications and the PHP core."

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  • OpenCV Mat creation memory leak

    - by Royi Freifeld
    My memory is getting full fairly quick once using the next piece of code. Valgrind shows a memory leak, but everything is allocated on stack and (supposed to be) freed once the function ends. void mult_run_time(int rows, int cols) { Mat matrix(rows,cols,CV_32SC1); Mat row_vec(cols,1,CV_32SC1); /* initialize vector and matrix */ for (int col = 0; col < cols; ++col) { for (int row = 0; row < rows; ++row) { matrix.at<unsigned long>(row,col) = rand() % ULONG_MAX; } row_vec.at<unsigned long>(1,col) = rand() % ULONG_MAX; } /* end initialization of vector and matrix*/ matrix*row_vec; } int main() { for (int row = 0; row < 20; ++row) { for (int col = 0; col < 20; ++col) { mult_run_time(row,col); } } return 0; } Valgrind shows that there is a memory leak in line Mat row_vec(cols,1,CV_32CS1): ==9201== 24,320 bytes in 380 blocks are definitely lost in loss record 50 of 50 ==9201== at 0x4026864: malloc (vg_replace_malloc.c:236) ==9201== by 0x40C0A8B: cv::fastMalloc(unsigned int) (in /usr/local/lib/libopencv_core.so.2.3.1) ==9201== by 0x41914E3: cv::Mat::create(int, int const*, int) (in /usr/local/lib/libopencv_core.so.2.3.1) ==9201== by 0x8048BE4: cv::Mat::create(int, int, int) (mat.hpp:368) ==9201== by 0x8048B2A: cv::Mat::Mat(int, int, int) (mat.hpp:68) ==9201== by 0x80488B0: mult_run_time(int, int) (mat_by_vec_mult.cpp:26) ==9201== by 0x80489F5: main (mat_by_vec_mult.cpp:59) Is it a known bug in OpenCV or am I missing something?

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  • How to convert a Mat variable type in an IplImage variable type in OpenCV 2.0 ?

    - by user290613
    Hi all, I am trying to rotate an image in OpenCV. I've used this code that I found here on StackOverflow Mat source(img); Point2f src_center(source.cols/2.0, source.rows/2.0); Mat rot_mat = getRotationMatrix2D(src_center, 40.0, 1.0); Mat dst; warpAffine(source, dst, rot_mat, source.size()); Once I have my dst Mat variable type filled up I would like to put it back to an IplImage variable type, any idea about how to do this ? Thank you,

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  • loading multiple .mat files in MATLAB

    - by smilingbuddha
    I have 110 files named time1.mat, time2.mat ..., time110.mat. I want to load these matrices into the MATLAB workspace. I have always used load -'ASCII' matrix.mat to load an ASCII matrix file in the current folder. So I tried doing for i=1:10 filename=strcat('time',int2str(i),'.mat'); load -'ASCII' filename end But I am getting a MATLAB error as ??? Error using ==> load Unable to read file filename: No such file or directory. ? Of course the string filename seems to be evaluated correctly by MATLAB as time1.mat. in the first iteration where it crashes at the load line. Any suggestions how I should do this?

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  • Write a MAT file without using matlab headers and libraries.

    - by YuppieNetworking
    Hello all, I have some data that I would like to save to a MAT file (version 4 or 5, or any version, for that matter). The catch: I wanted to do this without using matlab libraries, since this code will not necessary run in a machine with matlab. My program uses Java and C++, so any existing library in those languages that achieves this could help me out... I did some research but did not find anything in Java/C++. However, I found that scipy on python achieves this with mio4.py or mio5.py. I thought about implementing this on java or C++, but it seems a bit out of my time schedule. So the question is: is there any libraries in Java or C/C++ that permits saving MAT files without using Matlab libraries? Thanks a lot

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  • Converting cv::Mat to IplImage*

    - by amr
    The documentation on this seems incredibly spotty. I've basically got an empty array of IplImage*s (IplImage** imageArray) and I'm calling a function to import an array of cv::Mats - I want to convert my cv::Mat into an IplImage* so I can copy it into the array. Currently I'm trying this: while(loop over cv::Mat array) { IplImage* xyz = &(IplImage(array[i])); cvCopy(iplimagearray[i], xyz); } Which generates a segfault. Also trying: while(loop over cv::Mat array) { IplImage* xyz; xyz = &array[i]; cvCopy(iplimagearray[i], xyz); } Which gives me a compile time error of: error: cannot convert ‘cv::Mat*’ to ‘IplImage*’ in assignment Stuck as to how I can go further and would appreciate some advice :)

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  • Mat matrix multiplication, openCV?

    - by facebook-1593205594
    I initialized two Mat images as: Mat ft=Mat::zeros(src.rows,src.cols,CV_32FC1),h=Mat::zeros(src.rows,src.cols,CV_32FC1); and then i have some calculations: ft has fourier transform stored for an image, and h has matrix for Laplacian filtering in fourier domain.......they both have same dimensions, and then i did multiplication of them using both h*ft and gemm(h,ft,1,NULL,0,temp); function call but while executing it shows some problems..... it reads like this: opencv error assertion failed (some long code and at last says something about gemm in ....matmul.cpp)......termination called after throwing exception of 'cv::exception'

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  • How to harden windows 2003 service account

    - by ITMan
    I remember there was a tech-net or WindowsITpro article about how to harden windows 2003 service accounts a couple of years ago. For backup software purposes (such as BackupExec / AppAsure / Etc.. , please don't bash these) I have to create a domain admin account (usually called something such as "backup") and have the services run from that account. In this article I remember you can create the domain admin user "Backup" however have it not able to login interactively. Do any of you remember such an article or have the knowledge on how to do it?

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  • Looking for a Software to harden Windows machines

    - by MosheH
    I'm a network administrator of a small/medium network. I'm looking for a software (Free or Not) which can harden Windows Computers (XP And Win7) for the propose of hardening standalone desktop computers (not in domain network). Note: The computers are completely isolated (standalone), so i can't use active directory group policy. moreover, there are too many restriction that i need to apply, so it is not particle to set it up manual (one by one). Basically what I’m looking for is a software that can restrict and disable access for specific user accounts on the system. For Example: User john can only open one application and nothing else -- He don’t see no icon on the desktop or start menu, except for one or two applications which i want to allow. He can't Right click on the desktop, the task-bar icons are not shown, there is no folder options, etc... User marry can open a specific application and copy data to one folder on D drive. User Dan, have access to all drives but cannot install software, and so on... So far ,I've found only the following solutions, but they all seems to miss one or more feature: Desktop restriction Software 1. Faronics WINSelect The application seems to answer most of our needs except one feature which is very important to us but seems to be missing from WINSelect, which is "restriction per profile". WINSelect only allow to set up restrictions which are applied system-wide. If I have multiple user accounts on the system and want to apply different restrictions for each user, I cant. Deskman (No Restriction per user)- Same thing, no restriction per profile. Desktop Security Rx - not relevant, No Win7 Support. The only software that I've found which is offering a restriction per profile is " 1st Security Agent ". but its GUI is very complicated and not very intuitive. It's worth to mention that I'm not looking for "Internet Kiosk software" although they share some features with the one I need. All I need is a software (like http://www.faronics.com/standard/winselect/) that is offering a way to restrict Windows user interface. So IF anybody know an Hardening software which allows to set-up user restrictions on Windows systems, It will be a big, big, big help for me! Thanks to you all

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  • Openvpn mat through access server depending on client

    - by Lucas Kauffman
    I have several services which should be accessible through a VPN. Clients who connect through the VPN server should be NATed so that all their traffic passes through the access server. However server residing on the network should not pass their traffic through the access server their VPN facing services should be accessible, but their internet connections should not pas through the access server. So how can I enable NAT on a per client basis using OpenVPN?

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  • backtracking in haskell

    - by dmindreader
    I have to traverse a matrix and say how many "characteristic areas" of each type it has. A characteristic area is defined as a zone where elements of value n or n are adjacent. For example, given the matrix: 0 1 2 2 0 1 1 2 0 3 0 0 There's a single characteristic area of type 1 which is equal to the original matrix: 0 1 2 2 0 1 1 2 0 3 0 0 There are two characteristic areas of type 2: 0 0 2 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 0 And one characteristic area of type 3: 0 0 0 0 0 0 0 0 0 3 0 0 So, for the function call: countAreas [[0,1,2,2],[0,1,1,2],[0,3,0,0]] The result should be [1,2,1] I haven't defined countAreas yet, I'm stuck with my visit function when it has no more possible squares in which to move it gets stuck and doesn't make the proper recursive call. I'm new to functional programming and I'm still scratching my head about how to implement a backtracking algorithm here. Take a look at my code, what can I do to change it? move_right :: (Int,Int) -> [[Int]] -> Int -> Bool move_right (i,j) mat cond | (j + 1) < number_of_columns mat && consult (i,j+1) mat /= cond = True | otherwise = False move_left :: (Int,Int) -> [[Int]] -> Int -> Bool move_left (i,j) mat cond | (j - 1) >= 0 && consult (i,j-1) mat /= cond = True | otherwise = False move_up :: (Int,Int) -> [[Int]] -> Int -> Bool move_up (i,j) mat cond | (i - 1) >= 0 && consult (i-1,j) mat /= cond = True | otherwise = False move_down :: (Int,Int) -> [[Int]] -> Int -> Bool move_down (i,j) mat cond | (i + 1) < number_of_rows mat && consult (i+1,j) mat /= cond = True | otherwise = False imp :: (Int,Int) -> Int imp (i,j) = i number_of_rows :: [[Int]] -> Int number_of_rows i = length i number_of_columns :: [[Int]] -> Int number_of_columns (x:xs) = length x consult :: (Int,Int) -> [[Int]] -> Int consult (i,j) l = (l !! i) !! j visited :: (Int,Int) -> [(Int,Int)] -> Bool visited x y = elem x y add :: (Int,Int) -> [(Int,Int)] -> [(Int,Int)] add x y = x:y visit :: (Int,Int) -> [(Int,Int)] -> [[Int]] -> Int -> [(Int,Int)] visit (i,j) vis mat cond | move_right (i,j) mat cond && not (visited (i,j+1) vis) = visit (i,j+1) (add (i,j+1) vis) mat cond | move_down (i,j) mat cond && not (visited (i+1,j) vis) = visit (i+1,j) (add (i+1,j) vis) mat cond | move_left (i,j) mat cond && not (visited (i,j-1) vis) = visit (i,j-1) (add (i,j-1) vis) mat cond | move_up (i,j) mat cond && not (visited (i-1,j) vis) = visit (i-1,j) (add (i-1,j) vis) mat cond | otherwise = vis

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  • Flip rotation matrix

    - by azer89
    right now i'm doing character control with kinect. Basically i need to mirror the joint orientation because the character faces the player. Somehow by googling through internet i've done it and everything works very well. But i have little idea about how the math works, here's my code: //------------------------------------------------------------------------------------- Ogre::Quaternion JointOrientationCalculator::buildQuaternion(Ogre::Vector3 xAxis, Ogre::Vector3 yAxis, Ogre::Vector3 zAxis) { Ogre::Matrix3 mat; if(isMirror) { mat = Ogre::Matrix3(xAxis.x, yAxis.x, zAxis.x, xAxis.y, yAxis.y, zAxis.y, xAxis.z, yAxis.z, zAxis.z); Ogre::Matrix3 flipMat(1, 0, 0, 0, 1, 0, 0, 0, -1); mat = flipMat * mat * flipMat; } else { mat = Ogre::Matrix3(xAxis.x, -yAxis.x, zAxis.x, -xAxis.y, yAxis.y, -zAxis.y, xAxis.z, -yAxis.z, zAxis.z); } Ogre::Quaternion q; q.FromRotationMatrix(mat); return q; } when i need to mirror/flip it by axes z i calculate mat = flipMat * mat * flipMat; but i don't understand how this equation works.

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  • compiling opencv 2.4 on a 64 bit mac in Xcode

    - by Walt
    I have an opencv project that I've been developing under ubuntu 12.04, on a parellels VM on a mac which has an x86_64 architecture. There have been many screen switching performance issues that I believe are due to the VM, where linux video modes flip around for a couple seconds while camera access is made by the opencv application. I decided to moved the project into Xcode on the mac side of the computer to continue the opencv development. However, I'm not that familiar with xcode and am having trouble getting the project to build correctly there. I have xcode installed. I downloaded and decompressed the latest version of opencv on the mac, and ran: ~/src/opencv/build/cmake-gui -G Xcode .. per the instructions from willowgarage and various other locations. This appeared to work fine (however I'm wondering now if I'm missing an architecture setting in here, although it is 64-bit intel in Xcode). I then setup an xcode project with the source files from the linux project and changed the include directories to use /opt/local/include/... rather than the /usr/local/include/... I switched xcode to use the LLVM GCC compiler in the build settings for the project then set the Apple LLVM Dialog for C++ to Language Dialect to GNU++11 (which seems possibly inconsistant with the line above) I'm not using a makefile in xcode, (that I'm aware of - it has its own project file...) I was also running into a linker issue that looked like they may be resolved with the addition of this linker flag: -lopencv_video based on a similar posting here: other thread however in that case the person was using a Makefile in their project. I've tried adding this linker flag under "Other Linker Flags" in xcode build settings but still get build errors. I think I may have two issues here, one with the architecture settings when building the opencv libraries with Cmake, and one with the linker flag settings in my project. Currently the build error list looks like this: Undefined symbols for architecture x86_64: "cv::_InputArray::_InputArray(cv::Mat const&)", referenced from: _main in main.o "cv::_OutputArray::_OutputArray(cv::Mat&)", referenced from: _main in main.o "cv::Mat::deallocate()", referenced from: cv::Mat::release() in main.o "cv::Mat::copySize(cv::Mat const&)", referenced from: cv::Mat::Mat(cv::Mat const&)in main.o cv::Mat::operator=(cv::Mat const&)in main.o "cv::Mat::Mat(_IplImage const*, bool)", referenced from: _main in main.o "cv::imread(std::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int)", referenced from: _main in main.o ---SNIP--- ld: symbol(s) not found for architecture x86_64 collect2: ld returned 1 exit status Can anyone provide some guidance on what to try next? Thanks, Walt

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  • Searching For a Desktop Security Software to harden Windows machines, anybody?

    - by MosheH
    I'm a network administrator of a small/medium network. I'm looking for a software (Free or Not) which can harden Windows Computers (XP And Win7) for the propose of hardening standalone desktop computers (not in domain network). Note: The computers are completely isolated (standalone), so i can't use active directory group policy. moreover, there are too many restriction that i need to apply, so it is not particle to set it up manual (one by one). Basically what I’m looking for is a software that can restrict and disable access for specific user accounts on the system. For Example: User john can only open one application and nothing else -- He don’t see no icon on the desktop or start menu, except for one or two applications which i want to allow. He can't Right click on the desktop, the task-bar icons are not shown, there is no folder options, etc... User marry can open a specific application and copy data to one folder on D drive. User Dan, have access to all drives but cannot install software, and so on... So far ,I've found only the following solutions, but they all seems to miss one or more feature: Desktop restriction Software 1. Faronics WINSelect The application seems to answer most of our needs except one feature which is very important to us but seems to be missing from WINSelect, which is "restriction per profile". WINSelect only allow to set up restrictions which are applied system-wide. If I have multiple user accounts on the system and want to apply different restrictions for each user, I cant. Deskman (No Restriction per user)- Same thing, no restriction per profile. Desktop Security Rx - not relevant, No Win7 Support. The only software that I've found which is offering a restriction per profile is " 1st Security Agent ". but its GUI is very complicated and not very intuitive. It's worth to mention that I'm not looking for "Internet Kiosk software" although they share some features with the one I need. All I need is a software (like http://www.faronics.com/standard/winselect/) that is offering a way to restrict Windows user interface. So if anybody know an Hardening software which allows to set-up user restrictions on Windows systems, It will be a big, big, big help for me! Thanks to you all

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  • Updating physics for animated models

    - by Mathias Hölzl
    For a new game we have do set up a scene with a minimum of 30 bone animated models.(shooter) The problem is that the update process for the animated models takes too long. Thats what I do: Each character has ~30 bones and for every update tick the animation gets calculated and every bone fires a event with the new matrix. The physics receives the event with the new matrix and updates the collision shape for that bone. The time that it takes to build the animation isn't that bad (0.2ms for 30 Bones - 6ms for 30 models). But the main problem is that the physic engine (Bullet) uses a diffrent matrix for transformation and so its necessary to convert it. Code for matrix conversion: (~0.005ms) btTransform CLEAR_PHYSICS_API Mat_to_btTransform( Mat mat ) { btMatrix3x3 bulletRotation; btVector3 bulletPosition; XMFLOAT4X4 matData = mat.GetStorage(); // copy rotation matrix for ( int row=0; row<3; ++row ) for ( int column=0; column<3; ++column ) bulletRotation[row][column] = matData.m[column][row]; for ( int column=0; column<3; ++column ) bulletPosition[column] = matData.m[3][column]; return btTransform( bulletRotation, bulletPosition ); } The function for updating the transform(Physic): void CLEAR_PHYSICS_API BulletPhysics::VKinematicMove(Mat mat, ActorId aid) { if ( btRigidBody * const body = FindActorBody( aid ) ) { btTransform tmp = Mat_to_btTransform( mat ); body->setWorldTransform( tmp ); } } The real problem is the function FindActorBody(id): ActorIDToBulletActorMap::const_iterator found = m_actorBodies.find( id ); if ( found != m_actorBodies.end() ) return found->second; All physic actors are stored in m_actorBodies and thats why the updating process takes to long. But I have no idea how I could avoid this. Friendly greedings, Mathias

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  • Java code optimization on matrix windowing computes in more time

    - by rano
    I have a matrix which represents an image and I need to cycle over each pixel and for each one of those I have to compute the sum of all its neighbors, ie the pixels that belong to a window of radius rad centered on the pixel. I came up with three alternatives: The simplest way, the one that recomputes the window for each pixel The more optimized way that uses a queue to store the sums of the window columns and cycling through the columns of the matrix updates this queue by adding a new element and removing the oldes The even more optimized way that does not need to recompute the queue for each row but incrementally adjusts a previously saved one I implemented them in c++ using a queue for the second method and a combination of deques for the third (I need to iterate through their elements without destructing them) and scored their times to see if there was an actual improvement. it appears that the third method is indeed faster. Then I tried to port the code to Java (and I must admit that I'm not very comfortable with it). I used ArrayDeque for the second method and LinkedLists for the third resulting in the third being inefficient in time. Here is the simplest method in C++ (I'm not posting the java version since it is almost identical): void normalWindowing(int mat[][MAX], int cols, int rows, int rad){ int i, j; int h = 0; for (i = 0; i < rows; ++i) { for (j = 0; j < cols; j++) { h = 0; for (int ry =- rad; ry <= rad; ry++) { int y = i + ry; if (y >= 0 && y < rows) { for (int rx =- rad; rx <= rad; rx++) { int x = j + rx; if (x >= 0 && x < cols) { h += mat[y][x]; } } } } } } } Here is the second method (the one optimized through columns) in C++: void opt1Windowing(int mat[][MAX], int cols, int rows, int rad){ int i, j, h, y, col; queue<int>* q = NULL; for (i = 0; i < rows; ++i) { if (q != NULL) delete(q); q = new queue<int>(); h = 0; for (int rx = 0; rx <= rad; rx++) { if (rx < cols) { int mem = 0; for (int ry =- rad; ry <= rad; ry++) { y = i + ry; if (y >= 0 && y < rows) { mem += mat[y][rx]; } } q->push(mem); h += mem; } } for (j = 1; j < cols; j++) { col = j + rad; if (j - rad > 0) { h -= q->front(); q->pop(); } if (j + rad < cols) { int mem = 0; for (int ry =- rad; ry <= rad; ry++) { y = i + ry; if (y >= 0 && y < rows) { mem += mat[y][col]; } } q->push(mem); h += mem; } } } } And here is the Java version: public static void opt1Windowing(int [][] mat, int rad){ int i, j = 0, h, y, col; int cols = mat[0].length; int rows = mat.length; ArrayDeque<Integer> q = null; for (i = 0; i < rows; ++i) { q = new ArrayDeque<Integer>(); h = 0; for (int rx = 0; rx <= rad; rx++) { if (rx < cols) { int mem = 0; for (int ry =- rad; ry <= rad; ry++) { y = i + ry; if (y >= 0 && y < rows) { mem += mat[y][rx]; } } q.addLast(mem); h += mem; } } j = 0; for (j = 1; j < cols; j++) { col = j + rad; if (j - rad > 0) { h -= q.peekFirst(); q.pop(); } if (j + rad < cols) { int mem = 0; for (int ry =- rad; ry <= rad; ry++) { y = i + ry; if (y >= 0 && y < rows) { mem += mat[y][col]; } } q.addLast(mem); h += mem; } } } } I recognize this post will be a wall of text. Here is the third method in C++: void opt2Windowing(int mat[][MAX], int cols, int rows, int rad){ int i = 0; int j = 0; int h = 0; int hh = 0; deque< deque<int> *> * M = new deque< deque<int> *>(); for (int ry = 0; ry <= rad; ry++) { if (ry < rows) { deque<int> * q = new deque<int>(); M->push_back(q); for (int rx = 0; rx <= rad; rx++) { if (rx < cols) { int val = mat[ry][rx]; q->push_back(val); h += val; } } } } deque<int> * C = new deque<int>(M->front()->size()); deque<int> * Q = new deque<int>(M->front()->size()); deque<int> * R = new deque<int>(M->size()); deque< deque<int> *>::iterator mit; deque< deque<int> *>::iterator mstart = M->begin(); deque< deque<int> *>::iterator mend = M->end(); deque<int>::iterator rit; deque<int>::iterator rstart = R->begin(); deque<int>::iterator rend = R->end(); deque<int>::iterator cit; deque<int>::iterator cstart = C->begin(); deque<int>::iterator cend = C->end(); for (mit = mstart, rit = rstart; mit != mend, rit != rend; ++mit, ++rit) { deque<int>::iterator pit; deque<int>::iterator pstart = (* mit)->begin(); deque<int>::iterator pend = (* mit)->end(); for(cit = cstart, pit = pstart; cit != cend && pit != pend; ++cit, ++pit) { (* cit) += (* pit); (* rit) += (* pit); } } for (i = 0; i < rows; ++i) { j = 0; if (i - rad > 0) { deque<int>::iterator cit; deque<int>::iterator cstart = C->begin(); deque<int>::iterator cend = C->end(); deque<int>::iterator pit; deque<int>::iterator pstart = (M->front())->begin(); deque<int>::iterator pend = (M->front())->end(); for(cit = cstart, pit = pstart; cit != cend; ++cit, ++pit) { (* cit) -= (* pit); } deque<int> * k = M->front(); M->pop_front(); delete k; h -= R->front(); R->pop_front(); } int row = i + rad; if (row < rows && i > 0) { deque<int> * newQ = new deque<int>(); M->push_back(newQ); deque<int>::iterator cit; deque<int>::iterator cstart = C->begin(); deque<int>::iterator cend = C->end(); int rx; int tot = 0; for (rx = 0, cit = cstart; rx <= rad; rx++, ++cit) { if (rx < cols) { int val = mat[row][rx]; newQ->push_back(val); (* cit) += val; tot += val; } } R->push_back(tot); h += tot; } hh = h; copy(C->begin(), C->end(), Q->begin()); for (j = 1; j < cols; j++) { int col = j + rad; if (j - rad > 0) { hh -= Q->front(); Q->pop_front(); } if (j + rad < cols) { int val = 0; for (int ry =- rad; ry <= rad; ry++) { int y = i + ry; if (y >= 0 && y < rows) { val += mat[y][col]; } } hh += val; Q->push_back(val); } } } } And finally its Java version: public static void opt2Windowing(int [][] mat, int rad){ int cols = mat[0].length; int rows = mat.length; int i = 0; int j = 0; int h = 0; int hh = 0; LinkedList<LinkedList<Integer>> M = new LinkedList<LinkedList<Integer>>(); for (int ry = 0; ry <= rad; ry++) { if (ry < rows) { LinkedList<Integer> q = new LinkedList<Integer>(); M.addLast(q); for (int rx = 0; rx <= rad; rx++) { if (rx < cols) { int val = mat[ry][rx]; q.addLast(val); h += val; } } } } int firstSize = M.getFirst().size(); int mSize = M.size(); LinkedList<Integer> C = new LinkedList<Integer>(); LinkedList<Integer> Q = null; LinkedList<Integer> R = new LinkedList<Integer>(); for (int k = 0; k < firstSize; k++) { C.add(0); } for (int k = 0; k < mSize; k++) { R.add(0); } ListIterator<LinkedList<Integer>> mit; ListIterator<Integer> rit; ListIterator<Integer> cit; ListIterator<Integer> pit; for (mit = M.listIterator(), rit = R.listIterator(); mit.hasNext();) { Integer r = rit.next(); int rsum = 0; for (cit = C.listIterator(), pit = (mit.next()).listIterator(); cit.hasNext();) { Integer c = cit.next(); Integer p = pit.next(); rsum += p; cit.set(c + p); } rit.set(r + rsum); } for (i = 0; i < rows; ++i) { j = 0; if (i - rad > 0) { for(cit = C.listIterator(), pit = M.getFirst().listIterator(); cit.hasNext();) { Integer c = cit.next(); Integer p = pit.next(); cit.set(c - p); } M.removeFirst(); h -= R.getFirst(); R.removeFirst(); } int row = i + rad; if (row < rows && i > 0) { LinkedList<Integer> newQ = new LinkedList<Integer>(); M.addLast(newQ); int rx; int tot = 0; for (rx = 0, cit = C.listIterator(); rx <= rad; rx++) { if (rx < cols) { Integer c = cit.next(); int val = mat[row][rx]; newQ.addLast(val); cit.set(c + val); tot += val; } } R.addLast(tot); h += tot; } hh = h; Q = new LinkedList<Integer>(); Q.addAll(C); for (j = 1; j < cols; j++) { int col = j + rad; if (j - rad > 0) { hh -= Q.getFirst(); Q.pop(); } if (j + rad < cols) { int val = 0; for (int ry =- rad; ry <= rad; ry++) { int y = i + ry; if (y >= 0 && y < rows) { val += mat[y][col]; } } hh += val; Q.addLast(val); } } } } I guess that most is due to the poor choice of the LinkedList in Java and to the lack of an efficient (not shallow) copy method between two LinkedList. How can I improve the third Java method? Am I doing some conceptual error? As always, any criticisms is welcome. UPDATE Even if it does not solve the issue, using ArrayLists, as being suggested, instead of LinkedList improves the third method. The second one performs still better (but when the number of rows and columns of the matrix is lower than 300 and the window radius is small the first unoptimized method is the fastest in Java)

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  • Best way to 'harden' embedded ext4 file server against unexpected loss of power?

    - by Jeremy Friesner
    Hi all, First, a little background: my company makes an audio streaming device that is a headless, rack-mounted Linux box with a couple of SSDs attached. Each SSD is formatted with ext4. The users can connect to the system using Samba/CIFS to upload new audio files or access existing ones. There is also custom software for streaming out audio over the network. This is all fine. The only problem is that the users are audio people, not computer people, and see the system as a 'black box', not as a computer. Which means that at the end of the day, they aren't going to ssh in to the box and enter "/sbin/shutdown -h"; they are just going to cut power to the rack and leave, and expect things to still work properly the next day. Since ext4 has journalling, journal checksumming, etc, this mostly works. The only time it doesn't work is when someone uploads a new file via Samba and then cuts power to the system before the uploaded data has been fully flushed to the disk. In that case, they come in the next day and find that their new file has been truncated or is missing entirely, and are unhappy. My question is, what is the best way to avoid this problem? Is there a way to get smbd to call "sync" at the end of every upload? (Performance on uploads isn't so important, since they only happen occasionally). Or is there a way to tell ext4 to automatically flush within a few seconds of any change to a file? (Again, performance can be sacrificed for safety here) Should I set a particular write-ordering mode, activate barriers, etc?

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  • Loops on a Matlab program

    - by lebland-matlab
    I have 3 sets of 10 vectors each, and I want to take 2 vectors from the first set , 2 vectors from the second set and 3 vectors from the third set . My goal is to make a loop to implement the following program, knowing that after each calculation, the result shall be saved in a new file. My problem is that I can not handle the indices included in the strings. I try to use multiple loops to scan the 3 sets in the order of indices. loops should contain the following program clc; clear all; load('C:\Users\Documents\MATLAB\myFile\matrice_F.mat'); load('C:\Users\Documents\MATLAB\myFile\matrice_G.mat'); F = m_F; G = m_G; load('C:\Users\Documents\MATLAB\myFile\matrice_J.mat'); load('C:\Users\Documents\MATLAB\myFile\matrice_K.mat'); J = m_J; K = m_K; load('C:\Users\Documents\MATLAB\myFile\matrice_N.mat'); load('C:\Users\Documents\MATLAB\myFile\matrice_O.mat'); load('C:\Users\Documents\MATLAB\myFile\matrice_P.mat'); N = m_N ; O = m_O; P = m_P; [A,B,C,D,E] = myFun(F,G,J,K,N,O,P); file_name = 'matrice_final.mat'; save(file_name,'A','B','C','D','E');

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  • How can I make this Matlab program possible?

    - by lebland-matlab
    I do not know how to combine the indices with the characters, Could you help me to make this program possible: clc; clear all; set1={F,G,FF,GG,X,Y,XX,L,BH,JK}; %set of name vectors set2={J,K,HG,UY,TR,BC,XW,IOP,ES,QA}; %set of name vectors set3={AJ,RK,DS,TU,WS,ZZE,ZXW,TYP,ZAA,QWW}; %set of name vectors for i=1:1:9 load('C:\Users\Documents\MATLAB\myFile\matrice_'set1(i)'.mat'); load('C:\Users\Documents\MATLAB\myFile\matrice_'set1(i+1)'.mat'); 'set1(i)' = m_'set1(i)'; 'set1(i+1)' = m_'set1(i+1)'; for j=1:1:9 load('C:\Users\Documents\MATLAB\myFile\matrice_'set2(j)'.mat'); load('C:\Users\Documents\MATLAB\myFile\matrice_'set2(j+1)'.mat'); 'set2(j)' = m_'set2(j)'; 'set2(j+1)' = m_'set2(j+1)'; for k=1:1:8 load('C:\Users\Documents\MATLAB\myFile\matrice_'set3(k)'.mat'); load('C:\Users\Documents\MATLAB\myFile\matrice_'set3(k+1)'.mat'); load('C:\Users\Documents\MATLAB\myFile\matrice_'set3(k+2)'.mat'); 'set3(k)' = m_'set3(k)' ; 'set3(k+1)' = m_'set3(k+1)'; 'set3(k+2)' = m_'set3(k+2)'; [Result1'index',Result2'index',Result3'index',Result4'index',Result5'index'] = myFun('set1(i)','set1(i+1)','set2(j)','set2(j+1)','set3(k)','set3(k+1)','set3(k+2)'); %% 9x9x8=648 index=1,2,...,648 file_name = 'matrice_final'index'.mat'; save(file_name,'Result1'index'','Result2'index'','Result3'index'','Result4'index'','Result5'index''); clear 'set3(k)' 'set3(k+1)' 'set3(k+2)' end clear 'set2(j)' 'set2(j+1)' end clear 'set1(i)' 'set1(i+1)' end

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  • asp.net mvc insert doesnt seem to work for me....

    - by Pandiya Chendur
    My controller's call to repository insert method all the values are passed but it doesn't get inserted in my table.. My controller method, [AcceptVerbs(HttpVerbs.Post)] public ActionResult Create([Bind(Exclude = "Id")]FormCollection collection) { try { MaterialsObj materialsObj = new MaterialsObj(); materialsObj.Mat_Name = collection["Mat_Name"]; materialsObj.Mes_Id = Convert.ToInt64(collection["MeasurementType"]); materialsObj.Mes_Name = collection["Mat_Type"]; materialsObj.CreatedDate = System.DateTime.Now; materialsObj.CreatedBy = Convert.ToInt64(1); materialsObj.IsDeleted = Convert.ToInt64(1); consRepository.createMaterials(materialsObj); return RedirectToAction("Index"); } catch { return View(); } } and my repository, public MaterialsObj createMaterials(MaterialsObj materialsObj) { Material mat = new Material(); mat.Mat_Name = materialsObj.Mat_Name; mat.Mat_Type = materialsObj.Mes_Name; mat.MeasurementTypeId = materialsObj.Mes_Id; mat.Created_Date = materialsObj.CreatedDate; mat.Created_By = materialsObj.CreatedBy; mat.Is_Deleted = materialsObj.IsDeleted; db.Materials.InsertOnSubmit(mat); return materialsObj; } What am i missing here any suggestion....

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  • How to change by using CVGrayscaleMat

    - by Babul
    With the following code the image showed as above is converted as below image... Their it's showing black background with gray lines.....i want white background with gray lines .. Please guide me .. i am new to iPhone Thanks alot in Advance - (void)viewDidLoad { [super viewDidLoad]; // Initialise video capture - only supported on iOS device NOT simulator #if TARGET_IPHONE_SIMULATOR NSLog(@"Video capture is not supported in the simulator"); #else _videoCapture = new cv::VideoCapture; if (!_videoCapture->open(CV_CAP_AVFOUNDATION)) { NSLog(@"Failed to open video camera"); } #endif // Load a test image and demonstrate conversion between UIImage and cv::Mat UIImage *testImage = [UIImage imageNamed:@"testimage.jpg"]; double t; int times = 10; //-------------------------------- // Convert from UIImage to cv::Mat NSAutoreleasePool *pool = [[NSAutoreleasePool alloc] init]; t = (double)cv::getTickCount(); for (int i = 0; i < times; i++) { cv::Mat tempMat = [testImage CVMat]; } t = 1000 * ((double)cv::getTickCount() - t) / cv::getTickFrequency() / times; [pool release]; NSLog(@"UIImage to cv::Mat: %gms", t); //------------------------------------------ // Convert from UIImage to grayscale cv::Mat pool = [[NSAutoreleasePool alloc] init]; t = (double)cv::getTickCount(); for (int i = 0; i < times; i++) { cv::Mat tempMat = [testImage CVGrayscaleMat]; } t = 1000 * ((double)cv::getTickCount() - t) / cv::getTickFrequency() / times; [pool release]; NSLog(@"UIImage to grayscale cv::Mat: %gms", t); //-------------------------------- // Convert from cv::Mat to UIImage cv::Mat testMat = [testImage CVMat]; t = (double)cv::getTickCount(); for (int i = 0; i < times; i++) { UIImage *tempImage = [[UIImage alloc] initWithCVMat:testMat]; [tempImage release]; } t = 1000 * ((double)cv::getTickCount() - t) / cv::getTickFrequency() / times; NSLog(@"cv::Mat to UIImage: %gms", t); // Process test image and force update of UI _lastFrame = testMat; [self sliderChanged:nil]; } - (IBAction)capture:(id)sender { if (_videoCapture && _videoCapture->grab()) { (*_videoCapture) >> _lastFrame; [self processFrame]; } else { NSLog(@"Failed to grab frame"); } } - (void)processFrame { double t = (double)cv::getTickCount(); cv::Mat grayFrame, output; // Convert captured frame to grayscale cv::cvtColor(_lastFrame, grayFrame, cv::COLOR_RGB2GRAY); // Perform Canny edge detection using slide values for thresholds cv::Canny(grayFrame, output, _lowSlider.value * kCannyAperture * kCannyAperture, _highSlider.value * kCannyAperture * kCannyAperture, kCannyAperture); t = 1000 * ((double)cv::getTickCount() - t) / cv::getTickFrequency(); // Display result self.imageView.image = [UIImage imageWithCVMat:output]; self.elapsedTimeLabel.text = [NSString stringWithFormat:@"%.1fms", t]; }

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