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  • How advanced are author-recognition methods?

    - by Nick Rtz
    From a written text by an author if a computer program analyses the text, how much can a computer program tell today about the author of some (long enough to be statistically significant) texts? Can the computer program even tell with "certainty" whether a man or a woman wrote this text based solely on the contents of the text and not an investigation such as ip numbers etc? I'm interested to know if there are algorithms in use for instance to automatically know whether an author was male or female or similar characteristics of an author that a computer program can decide based on analyses of the written text by an author. It could be useful to know before you read a message what a computer analyses says about the author, do you agree? If I for instance get a longer message from my wife that she has had an accident in Nigeria and the computer program says that with 99 % probability the message was written by a male author in his sixties of non-caucasian origin or likewise, or by somebody who is not my wife, then the computer program could help me investigate why a certain message differs in characteristics. There can also be other uses for instance just detecting outliers in a geographically or demographically bounded larger data set. Scam detection is the obvious use I'm thinking of but there could also be other uses. Are there already such programs that analyse a written text to tell something about the author based on word choice, use of pronouns, unusual language usage, or likewise?

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  • How to store generated eigen faces for future face recognition?

    - by user3237134
    My code works in the following manner: 1.First, it obtains several images from the training set 2.After loading these images, we find the normalized faces,mean face and perform several calculation. 3.Next, we ask for the name of an image we want to recognize 4.We then project the input image into the eigenspace, and based on the difference from the eigenfaces we make a decision. 5.Depending on eigen weight vector for each input image we make clusters using kmeans command. Source code i tried: clear all close all clc % number of images on your training set. M=1200; %Chosen std and mean. %It can be any number that it is close to the std and mean of most of the images. um=60; ustd=32; %read and show images(bmp); S=[]; %img matrix for i=1:M str=strcat(int2str(i),'.jpg'); %concatenates two strings that form the name of the image eval('img=imread(str);'); [irow icol d]=size(img); % get the number of rows (N1) and columns (N2) temp=reshape(permute(img,[2,1,3]),[irow*icol,d]); %creates a (N1*N2)x1 matrix S=[S temp]; %X is a N1*N2xM matrix after finishing the sequence %this is our S end %Here we change the mean and std of all images. We normalize all images. %This is done to reduce the error due to lighting conditions. for i=1:size(S,2) temp=double(S(:,i)); m=mean(temp); st=std(temp); S(:,i)=(temp-m)*ustd/st+um; end %show normalized images for i=1:M str=strcat(int2str(i),'.jpg'); img=reshape(S(:,i),icol,irow); img=img'; end %mean image; m=mean(S,2); %obtains the mean of each row instead of each column tmimg=uint8(m); %converts to unsigned 8-bit integer. Values range from 0 to 255 img=reshape(tmimg,icol,irow); %takes the N1*N2x1 vector and creates a N2xN1 matrix img=img'; %creates a N1xN2 matrix by transposing the image. % Change image for manipulation dbx=[]; % A matrix for i=1:M temp=double(S(:,i)); dbx=[dbx temp]; end %Covariance matrix C=A'A, L=AA' A=dbx'; L=A*A'; % vv are the eigenvector for L % dd are the eigenvalue for both L=dbx'*dbx and C=dbx*dbx'; [vv dd]=eig(L); % Sort and eliminate those whose eigenvalue is zero v=[]; d=[]; for i=1:size(vv,2) if(dd(i,i)>1e-4) v=[v vv(:,i)]; d=[d dd(i,i)]; end end %sort, will return an ascending sequence [B index]=sort(d); ind=zeros(size(index)); dtemp=zeros(size(index)); vtemp=zeros(size(v)); len=length(index); for i=1:len dtemp(i)=B(len+1-i); ind(i)=len+1-index(i); vtemp(:,ind(i))=v(:,i); end d=dtemp; v=vtemp; %Normalization of eigenvectors for i=1:size(v,2) %access each column kk=v(:,i); temp=sqrt(sum(kk.^2)); v(:,i)=v(:,i)./temp; end %Eigenvectors of C matrix u=[]; for i=1:size(v,2) temp=sqrt(d(i)); u=[u (dbx*v(:,i))./temp]; end %Normalization of eigenvectors for i=1:size(u,2) kk=u(:,i); temp=sqrt(sum(kk.^2)); u(:,i)=u(:,i)./temp; end % show eigenfaces; for i=1:size(u,2) img=reshape(u(:,i),icol,irow); img=img'; img=histeq(img,255); end % Find the weight of each face in the training set. omega = []; for h=1:size(dbx,2) WW=[]; for i=1:size(u,2) t = u(:,i)'; WeightOfImage = dot(t,dbx(:,h)'); WW = [WW; WeightOfImage]; end omega = [omega WW]; end % Acquire new image % Note: the input image must have a bmp or jpg extension. % It should have the same size as the ones in your training set. % It should be placed on your desktop ed_min=[]; srcFiles = dir('G:\newdatabase\*.jpg'); % the folder in which ur images exists for b = 1 : length(srcFiles) filename = strcat('G:\newdatabase\',srcFiles(b).name); Imgdata = imread(filename); InputImage=Imgdata; InImage=reshape(permute((double(InputImage)),[2,1,3]),[irow*icol,1]); temp=InImage; me=mean(temp); st=std(temp); temp=(temp-me)*ustd/st+um; NormImage = temp; Difference = temp-m; p = []; aa=size(u,2); for i = 1:aa pare = dot(NormImage,u(:,i)); p = [p; pare]; end InImWeight = []; for i=1:size(u,2) t = u(:,i)'; WeightOfInputImage = dot(t,Difference'); InImWeight = [InImWeight; WeightOfInputImage]; end noe=numel(InImWeight); % Find Euclidean distance e=[]; for i=1:size(omega,2) q = omega(:,i); DiffWeight = InImWeight-q; mag = norm(DiffWeight); e = [e mag]; end ed_min=[ed_min MinimumValue]; theta=6.0e+03; %disp(e) z(b,:)=InImWeight; end IDX = kmeans(z,5); clustercount=accumarray(IDX, ones(size(IDX))); disp(clustercount); QUESTIONS: 1.It is working fine for M=50(i.e Training set contains 50 images) but not for M=1200(i.e Training set contains 1200 images).It is not showing any error.There is no output.I waited for 10 min still there is no output. I think it is going infinite loop.What is the problem?Where i was wrong? 2.Instead of running the training set everytime how eigen faces generated are stored so that stored eigen faces are used for future face recoginition for a new input image.So it reduces wastage of time.

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  • Looking for mass cropping software

    - by Bart van Heukelom
    I'm looking for a tool than runs on Ubuntu that can let me: Open an image in a folder which has thousands Crop and rotate it Save as a copy, automatically named (not manually), with one click. Preferably with something in the name that I can later use to filter these cropped copies in Nautilus (unless it saves in another directory, that'd be even better). Move to next image and repeat Does it exist?

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  • Best Practice - XML To Excel

    - by MemLeak
    I've to read a big XML file with a lot of information. Afterwards I extract the needed information (~20 Points(columns) / ~80 relevant Data (rows, some of them with subdatasets) and write them out in a Excel File. My Question is how to handle the extraction (of unused Data) part, should I copy the whole file and delete the unused parts, and then write it to excel or is it a good approach to create Objects for each column? should I write the whole xml to excel and start to delete rows in excel? What would be performant and a acceptable solution?

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  • Sentence Tree v/s Words List

    - by Rohit Jose
    I was recently tasked with building a Name Entity Recognizer as part of a project. The objective was to parse a given sentence and come up with all the possible combinations of the entities. One approach that was suggested was to keep a lookup table for all the know connector words like articles and conjunctions, remove them from the words list after splitting the sentence on the basis of the spaces. This would leave out the Name Entities in the sentence. A lookup is then done for these identified entities on another lookup table that associates them to the entity type, for example if the sentence was: Remember the Titans was a movie directed by Boaz Yakin, the possible outputs would be: {Remember the Titans,Movie} was {a movie,Movie} directed by {Boaz Yakin,director} {Remember the Titans,Movie} was a movie directed by Boaz Yakin {Remember the Titans,Movie} was {a movie,Movie} directed by Boaz Yakin {Remember the Titans,Movie} was a movie directed by {Boaz Yakin,director} Remember the Titans was {a movie,Movie} directed by Boaz Yakin Remember the Titans was {a movie,Movie} directed by {Boaz Yakin,director} Remember the Titans was a movie directed by {Boaz Yakin,director} Remember the {the titans,Movie,Sports Team} was {a movie,Movie} directed by {Boaz Yakin,director} Remember the {the titans,Movie,Sports Team} was a movie directed by Boaz Yakin Remember the {the titans,Movie,Sports Team} was {a movie,Movie} directed by Boaz Yakin Remember the {the titans,Movie,Sports Team} was a movie directed by {Boaz Yakin,director} The entity lookup table here would contain the following data: Remember the Titans=Movie a movie=Movie Boaz Yakin=director the Titans=Movie the Titans=Sports Team Another alternative logic that was put forward was to build a crude sentence tree that would contain the connector words in the lookup table as parent nodes and do a lookup in the entity table for the leaf node that might contain the entities. The tree that was built for the sentence above would be: The question I am faced with is the benefits of the two approaches, should I be going for the tree approach to represent the sentence parsing, since it provides a more semantic structure? Is there a better approach I should be going for solving it?

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  • Vectorization of matlab code for faster execution

    - by user3237134
    My code works in the following manner: 1.First, it obtains several images from the training set 2.After loading these images, we find the normalized faces,mean face and perform several calculation. 3.Next, we ask for the name of an image we want to recognize 4.We then project the input image into the eigenspace, and based on the difference from the eigenfaces we make a decision. 5.Depending on eigen weight vector for each input image we make clusters using kmeans command. Source code i tried: clear all close all clc % number of images on your training set. M=1200; %Chosen std and mean. %It can be any number that it is close to the std and mean of most of the images. um=60; ustd=32; %read and show images(bmp); S=[]; %img matrix for i=1:M str=strcat(int2str(i),'.jpg'); %concatenates two strings that form the name of the image eval('img=imread(str);'); [irow icol d]=size(img); % get the number of rows (N1) and columns (N2) temp=reshape(permute(img,[2,1,3]),[irow*icol,d]); %creates a (N1*N2)x1 matrix S=[S temp]; %X is a N1*N2xM matrix after finishing the sequence %this is our S end %Here we change the mean and std of all images. We normalize all images. %This is done to reduce the error due to lighting conditions. for i=1:size(S,2) temp=double(S(:,i)); m=mean(temp); st=std(temp); S(:,i)=(temp-m)*ustd/st+um; end %show normalized images for i=1:M str=strcat(int2str(i),'.jpg'); img=reshape(S(:,i),icol,irow); img=img'; end %mean image; m=mean(S,2); %obtains the mean of each row instead of each column tmimg=uint8(m); %converts to unsigned 8-bit integer. Values range from 0 to 255 img=reshape(tmimg,icol,irow); %takes the N1*N2x1 vector and creates a N2xN1 matrix img=img'; %creates a N1xN2 matrix by transposing the image. % Change image for manipulation dbx=[]; % A matrix for i=1:M temp=double(S(:,i)); dbx=[dbx temp]; end %Covariance matrix C=A'A, L=AA' A=dbx'; L=A*A'; % vv are the eigenvector for L % dd are the eigenvalue for both L=dbx'*dbx and C=dbx*dbx'; [vv dd]=eig(L); % Sort and eliminate those whose eigenvalue is zero v=[]; d=[]; for i=1:size(vv,2) if(dd(i,i)>1e-4) v=[v vv(:,i)]; d=[d dd(i,i)]; end end %sort, will return an ascending sequence [B index]=sort(d); ind=zeros(size(index)); dtemp=zeros(size(index)); vtemp=zeros(size(v)); len=length(index); for i=1:len dtemp(i)=B(len+1-i); ind(i)=len+1-index(i); vtemp(:,ind(i))=v(:,i); end d=dtemp; v=vtemp; %Normalization of eigenvectors for i=1:size(v,2) %access each column kk=v(:,i); temp=sqrt(sum(kk.^2)); v(:,i)=v(:,i)./temp; end %Eigenvectors of C matrix u=[]; for i=1:size(v,2) temp=sqrt(d(i)); u=[u (dbx*v(:,i))./temp]; end %Normalization of eigenvectors for i=1:size(u,2) kk=u(:,i); temp=sqrt(sum(kk.^2)); u(:,i)=u(:,i)./temp; end % show eigenfaces; for i=1:size(u,2) img=reshape(u(:,i),icol,irow); img=img'; img=histeq(img,255); end % Find the weight of each face in the training set. omega = []; for h=1:size(dbx,2) WW=[]; for i=1:size(u,2) t = u(:,i)'; WeightOfImage = dot(t,dbx(:,h)'); WW = [WW; WeightOfImage]; end omega = [omega WW]; end % Acquire new image % Note: the input image must have a bmp or jpg extension. % It should have the same size as the ones in your training set. % It should be placed on your desktop ed_min=[]; srcFiles = dir('G:\newdatabase\*.jpg'); % the folder in which ur images exists for b = 1 : length(srcFiles) filename = strcat('G:\newdatabase\',srcFiles(b).name); Imgdata = imread(filename); InputImage=Imgdata; InImage=reshape(permute((double(InputImage)),[2,1,3]),[irow*icol,1]); temp=InImage; me=mean(temp); st=std(temp); temp=(temp-me)*ustd/st+um; NormImage = temp; Difference = temp-m; p = []; aa=size(u,2); for i = 1:aa pare = dot(NormImage,u(:,i)); p = [p; pare]; end InImWeight = []; for i=1:size(u,2) t = u(:,i)'; WeightOfInputImage = dot(t,Difference'); InImWeight = [InImWeight; WeightOfInputImage]; end noe=numel(InImWeight); % Find Euclidean distance e=[]; for i=1:size(omega,2) q = omega(:,i); DiffWeight = InImWeight-q; mag = norm(DiffWeight); e = [e mag]; end ed_min=[ed_min MinimumValue]; theta=6.0e+03; %disp(e) z(b,:)=InImWeight; end IDX = kmeans(z,5); clustercount=accumarray(IDX, ones(size(IDX))); disp(clustercount); Running time for 50 images:Elapsed time is 103.947573 seconds. QUESTIONS: 1.It is working fine for M=50(i.e Training set contains 50 images) but not for M=1200(i.e Training set contains 1200 images).It is not showing any error.There is no output.I waited for 10 min still there is no output. I think it is going infinite loop.What is the problem?Where i was wrong?

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  • Stitch scanned images using CLI

    - by Adam Matan
    I have scanned a newspaper article which was larger than the scanner glass. Each page was scanned twice: the top and the bottom parts, where the middle part appeared in both images. Is there a way to quickly match and stitch these scanned images, preferably using CLI? The panorama stitching tools I know require lengthy configuration, which is mostly irrelevant: lens size, focus, angle etc. Hugin has a solution for this issue, but it isn't practical for batch jobs.

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  • Multiple volumetric lights

    - by notabene
    I recently read this GPU GEMS 3 article Volumetric Light Scattering as a Post-Process. I like the idea to add volumetric light property to realtime render i'm working on. Question is will it work for multiple lights? Our renderer uses one render pass per light and uses additive blending to sum incoming light. I'm mostly convinced that it have to work nice. Do you agree? Maybe there can be problem where light rays crosses each other.

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  • Can non-IT people learn and take advantage of regular expressions? [closed]

    - by user1598390
    Often times, not-IT people has to deal with massive text data, clean it, filter it, modify it. Often times normal office tools like Excel lack the tools to make complex search and replace operations on text. Could this people benefit from regexps ? Can regexp be taught to them ? Are regular expressions the exclusive domain of programmers and unix/linux technicians ? Can they be learned by non-IT people, given regexps are not a programming language? Is this a valid or achievable goal to make some users regexp-literate through appopriate training ? Have you have any experiences on this issue? and if so, have it been successful ?

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  • Reverse all words in current line

    - by KasiyA
    I have a file and I want to reverse all word in it. Read line as long as (.) not seen, or seen (\n), if found first (.) in line then It is a word , so reverse this word and continue reading for next word in current line until end of file. ex input file: DCBA. HGFE.GI MLK,PON.RQ UTS. ZYXWV. 321 ex output file: (What I Want) ABCD. EFGH.IG KLM,NOP.QR STU. VWXYZ. 123 With this sed script: sed '/\n/!G;s/\(.\)\(.*\n\)/&\2\1/;//D;s/.//' in the entire line is reversed. The wrong output produced by the command above: IG.EFGH .ABCD QR.NOP,KLM 123 .VWXYZ .STU How can I get my desired output? Thanks for your help

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  • Toon shader with Texture. Can this be optimized?

    - by Alex
    I am quite new to OpenGL, I have managed after long trial and error to integrate Nehe's Cel-Shading rendering with my Model loaders, and have them drawn using the Toon shade and outline AND their original texture at the same time. The result is actually a very nice Cel Shading effect of the model texture, but it is havling the speed of the program, it's quite very slow even with just 3 models on screen... Since the result was kind of hacked together, I am thinking that maybe I am performing some extra steps or extra rendering tasks that maybe are not needed, and are slowing down the game? Something unnecessary that maybe you guys could spot? Both MD2 and 3DS loader have an InitToon() function called upon creation to load the shader initToon(){ int i; // Looping Variable ( NEW ) char Line[255]; // Storage For 255 Characters ( NEW ) float shaderData[32][3]; // Storate For The 96 Shader Values ( NEW ) FILE *In = fopen ("Shader.txt", "r"); // Open The Shader File ( NEW ) if (In) // Check To See If The File Opened ( NEW ) { for (i = 0; i < 32; i++) // Loop Though The 32 Greyscale Values ( NEW ) { if (feof (In)) // Check For The End Of The File ( NEW ) break; fgets (Line, 255, In); // Get The Current Line ( NEW ) shaderData[i][0] = shaderData[i][1] = shaderData[i][2] = float(atof (Line)); // Copy Over The Value ( NEW ) } fclose (In); // Close The File ( NEW ) } else return false; // It Went Horribly Horribly Wrong ( NEW ) glGenTextures (1, &shaderTexture[0]); // Get A Free Texture ID ( NEW ) glBindTexture (GL_TEXTURE_1D, shaderTexture[0]); // Bind This Texture. From Now On It Will Be 1D ( NEW ) // For Crying Out Loud Don't Let OpenGL Use Bi/Trilinear Filtering! ( NEW ) glTexParameteri (GL_TEXTURE_1D, GL_TEXTURE_MAG_FILTER, GL_NEAREST); glTexParameteri (GL_TEXTURE_1D, GL_TEXTURE_MIN_FILTER, GL_NEAREST); glTexImage1D (GL_TEXTURE_1D, 0, GL_RGB, 32, 0, GL_RGB , GL_FLOAT, shaderData); // Upload ( NEW ) } This is the drawing for the animated MD2 model: void MD2Model::drawToon() { float outlineWidth = 3.0f; // Width Of The Lines ( NEW ) float outlineColor[3] = { 0.0f, 0.0f, 0.0f }; // Color Of The Lines ( NEW ) // ORIGINAL PART OF THE FUNCTION //Figure out the two frames between which we are interpolating int frameIndex1 = (int)(time * (endFrame - startFrame + 1)) + startFrame; if (frameIndex1 > endFrame) { frameIndex1 = startFrame; } int frameIndex2; if (frameIndex1 < endFrame) { frameIndex2 = frameIndex1 + 1; } else { frameIndex2 = startFrame; } MD2Frame* frame1 = frames + frameIndex1; MD2Frame* frame2 = frames + frameIndex2; //Figure out the fraction that we are between the two frames float frac = (time - (float)(frameIndex1 - startFrame) / (float)(endFrame - startFrame + 1)) * (endFrame - startFrame + 1); // I ADDED THESE FROM NEHE'S TUTORIAL FOR FIRST PASS (TOON SHADE) glHint (GL_LINE_SMOOTH_HINT, GL_NICEST); // Use The Good Calculations ( NEW ) glEnable (GL_LINE_SMOOTH); // Cel-Shading Code // glEnable (GL_TEXTURE_1D); // Enable 1D Texturing ( NEW ) glBindTexture (GL_TEXTURE_1D, shaderTexture[0]); // Bind Our Texture ( NEW ) glColor3f (1.0f, 1.0f, 1.0f); // Set The Color Of The Model ( NEW ) // ORIGINAL DRAWING CODE //Draw the model as an interpolation between the two frames glBegin(GL_TRIANGLES); for(int i = 0; i < numTriangles; i++) { MD2Triangle* triangle = triangles + i; for(int j = 0; j < 3; j++) { MD2Vertex* v1 = frame1->vertices + triangle->vertices[j]; MD2Vertex* v2 = frame2->vertices + triangle->vertices[j]; Vec3f pos = v1->pos * (1 - frac) + v2->pos * frac; Vec3f normal = v1->normal * (1 - frac) + v2->normal * frac; if (normal[0] == 0 && normal[1] == 0 && normal[2] == 0) { normal = Vec3f(0, 0, 1); } glNormal3f(normal[0], normal[1], normal[2]); MD2TexCoord* texCoord = texCoords + triangle->texCoords[j]; glTexCoord2f(texCoord->texCoordX, texCoord->texCoordY); glVertex3f(pos[0], pos[1], pos[2]); } } glEnd(); // ADDED THESE FROM NEHE'S FOR SECOND PASS (OUTLINE) glDisable (GL_TEXTURE_1D); // Disable 1D Textures ( NEW ) glEnable (GL_BLEND); // Enable Blending ( NEW ) glBlendFunc(GL_SRC_ALPHA,GL_ONE_MINUS_SRC_ALPHA); // Set The Blend Mode ( NEW ) glPolygonMode (GL_BACK, GL_LINE); // Draw Backfacing Polygons As Wireframes ( NEW ) glLineWidth (outlineWidth); // Set The Line Width ( NEW ) glCullFace (GL_FRONT); // Don't Draw Any Front-Facing Polygons ( NEW ) glDepthFunc (GL_LEQUAL); // Change The Depth Mode ( NEW ) glColor3fv (&outlineColor[0]); // Set The Outline Color ( NEW ) // HERE I AM PARSING THE VERTICES AGAIN (NOT IN THE ORIGINAL FUNCTION) FOR THE OUTLINE AS PER NEHE'S TUT glBegin (GL_TRIANGLES); // Tell OpenGL What We Want To Draw for(int i = 0; i < numTriangles; i++) { MD2Triangle* triangle = triangles + i; for(int j = 0; j < 3; j++) { MD2Vertex* v1 = frame1->vertices + triangle->vertices[j]; MD2Vertex* v2 = frame2->vertices + triangle->vertices[j]; Vec3f pos = v1->pos * (1 - frac) + v2->pos * frac; Vec3f normal = v1->normal * (1 - frac) + v2->normal * frac; if (normal[0] == 0 && normal[1] == 0 && normal[2] == 0) { normal = Vec3f(0, 0, 1); } glNormal3f(normal[0], normal[1], normal[2]); MD2TexCoord* texCoord = texCoords + triangle->texCoords[j]; glTexCoord2f(texCoord->texCoordX, texCoord->texCoordY); glVertex3f(pos[0], pos[1], pos[2]); } } glEnd (); // Tell OpenGL We've Finished glDepthFunc (GL_LESS); // Reset The Depth-Testing Mode ( NEW ) glCullFace (GL_BACK); // Reset The Face To Be Culled ( NEW ) glPolygonMode (GL_BACK, GL_FILL); // Reset Back-Facing Polygon Drawing Mode ( NEW ) glDisable (GL_BLEND); } Whereas this is the drawToon function in the 3DS loader void Model_3DS::drawToon() { float outlineWidth = 3.0f; // Width Of The Lines ( NEW ) float outlineColor[3] = { 0.0f, 0.0f, 0.0f }; // Color Of The Lines ( NEW ) //ORIGINAL CODE if (visible) { glPushMatrix(); // Move the model glTranslatef(pos.x, pos.y, pos.z); // Rotate the model glRotatef(rot.x, 1.0f, 0.0f, 0.0f); glRotatef(rot.y, 0.0f, 1.0f, 0.0f); glRotatef(rot.z, 0.0f, 0.0f, 1.0f); glScalef(scale, scale, scale); // Loop through the objects for (int i = 0; i < numObjects; i++) { // Enable texture coordiantes, normals, and vertices arrays if (Objects[i].textured) glEnableClientState(GL_TEXTURE_COORD_ARRAY); if (lit) glEnableClientState(GL_NORMAL_ARRAY); glEnableClientState(GL_VERTEX_ARRAY); // Point them to the objects arrays if (Objects[i].textured) glTexCoordPointer(2, GL_FLOAT, 0, Objects[i].TexCoords); if (lit) glNormalPointer(GL_FLOAT, 0, Objects[i].Normals); glVertexPointer(3, GL_FLOAT, 0, Objects[i].Vertexes); // Loop through the faces as sorted by material and draw them for (int j = 0; j < Objects[i].numMatFaces; j ++) { // Use the material's texture Materials[Objects[i].MatFaces[j].MatIndex].tex.Use(); // AFTER THE TEXTURE IS APPLIED I INSERT THE TOON FUNCTIONS HERE (FIRST PASS) glHint (GL_LINE_SMOOTH_HINT, GL_NICEST); // Use The Good Calculations ( NEW ) glEnable (GL_LINE_SMOOTH); // Cel-Shading Code // glEnable (GL_TEXTURE_1D); // Enable 1D Texturing ( NEW ) glBindTexture (GL_TEXTURE_1D, shaderTexture[0]); // Bind Our Texture ( NEW ) glColor3f (1.0f, 1.0f, 1.0f); // Set The Color Of The Model ( NEW ) glPushMatrix(); // Move the model glTranslatef(Objects[i].pos.x, Objects[i].pos.y, Objects[i].pos.z); // Rotate the model glRotatef(Objects[i].rot.z, 0.0f, 0.0f, 1.0f); glRotatef(Objects[i].rot.y, 0.0f, 1.0f, 0.0f); glRotatef(Objects[i].rot.x, 1.0f, 0.0f, 0.0f); // Draw the faces using an index to the vertex array glDrawElements(GL_TRIANGLES, Objects[i].MatFaces[j].numSubFaces, GL_UNSIGNED_SHORT, Objects[i].MatFaces[j].subFaces); glPopMatrix(); } glDisable (GL_TEXTURE_1D); // Disable 1D Textures ( NEW ) // THIS IS AN ADDED SECOND PASS AT THE VERTICES FOR THE OUTLINE glEnable (GL_BLEND); // Enable Blending ( NEW ) glBlendFunc(GL_SRC_ALPHA,GL_ONE_MINUS_SRC_ALPHA); // Set The Blend Mode ( NEW ) glPolygonMode (GL_BACK, GL_LINE); // Draw Backfacing Polygons As Wireframes ( NEW ) glLineWidth (outlineWidth); // Set The Line Width ( NEW ) glCullFace (GL_FRONT); // Don't Draw Any Front-Facing Polygons ( NEW ) glDepthFunc (GL_LEQUAL); // Change The Depth Mode ( NEW ) glColor3fv (&outlineColor[0]); // Set The Outline Color ( NEW ) for (int j = 0; j < Objects[i].numMatFaces; j ++) { glPushMatrix(); // Move the model glTranslatef(Objects[i].pos.x, Objects[i].pos.y, Objects[i].pos.z); // Rotate the model glRotatef(Objects[i].rot.z, 0.0f, 0.0f, 1.0f); glRotatef(Objects[i].rot.y, 0.0f, 1.0f, 0.0f); glRotatef(Objects[i].rot.x, 1.0f, 0.0f, 0.0f); // Draw the faces using an index to the vertex array glDrawElements(GL_TRIANGLES, Objects[i].MatFaces[j].numSubFaces, GL_UNSIGNED_SHORT, Objects[i].MatFaces[j].subFaces); glPopMatrix(); } glDepthFunc (GL_LESS); // Reset The Depth-Testing Mode ( NEW ) glCullFace (GL_BACK); // Reset The Face To Be Culled ( NEW ) glPolygonMode (GL_BACK, GL_FILL); // Reset Back-Facing Polygon Drawing Mode ( NEW ) glDisable (GL_BLEND); glPopMatrix(); } Finally this is the tex.Use() function that loads a BMP texture and somehow gets blended perfectly with the Toon shading void GLTexture::Use() { glEnable(GL_TEXTURE_2D); // Enable texture mapping glBindTexture(GL_TEXTURE_2D, texture[0]); // Bind the texture as the current one }

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  • Text comparison algorithm using java-diff-utils

    - by java_mouse
    One of the features in our project is to implement a comparison algorithm between two versions of text and provide a % change between the two versions. While I was researching, I came across google java-diff-utils project. Has anyone used this for comparing text using java-diff-utils ? Using this utility, I can get a list of "delta" which I assume I can use it for the % of difference between two versions of the text? Is this a correct way of doing this? If you have done any text comparison algorithm using Java, could you give me some pointers?

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  • Inserting an Image into a PDF

    - by Cerin
    Are there Linux/Ubuntu programs capable of inserting a partially transparent image into a PDF? I'm trying to "sign" a PDF document by inserting an image of my signature, but even though every OSX and Windows PDF editor seems to support this, I haven't found any Linux PDF editors that do. I've tried PDFChain, PDF Editor, Flpsed PDF Annotator, Openoffice, Scribus, Krita, and PDFSam, and none support this. Although not technically a Linux program, I tried the site pdfescape.com, but it corrupts the images it inserts, rendering it useless for this task. Note, I'm talking about keeping the PDF in PDF format, so rasterizing it to a TIF/PNG/BMP, editing it in Gimp, and then dumping it back into a PDF isn't a solution. EDIT: I might have been premature in my criticism of pdfescape.com and PDF Editor. I was viewing the resulting PDF in Evince, which was showing a mangled image, but when I opened the PDF in PDF Editor, the image rendered correctly. I've since sent the PDF to someone on Windows who confirmed the image showed correctly. It looks like the problem might be inaccurate rendering with Evince.

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  • What is the best way to implement paginated text editing in Python?

    - by W.F
    I'm trying to build a formatted text editor in python. I need the editor to be paginated on edit mode. Same as in all popular word processors - when the user is editing the document what he/she sees is a representation of the actual, physical, page. I've tried looking into PySide but I can't find any ready solution to this, nor I can work out a way to do it myself. I am totally open to new technologies, so if you think Python is not the right choice here I would love to hear about new stuff (especially when I'm this new to UI coding). It only needs to be cross-platform and let me do rapid development (hence me looking for an out-of-the-box solution to this). Please suggest the best way to implement this. Please also note that I am looking for either a ready solution or an advice on how to tackle this. Thank you very much !

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  • Parse git log by modified files

    - by MrUser
    I have been told to make git messages for each modified file all one line so I can use grep to find all changes to that file. For instance: $git commit -a modified: path/to/file.cpp/.h - 1) change1 , 2) change2, etc...... $git log | grep path/to/file.cpp/.h modified: path/to/file.cpp/.h - 1) change1 , 2) change2, etc...... modified: path/to/file.cpp/.h - 1) change1 , 2) change2, etc...... modified: path/to/file.cpp/.h - 1) change1 , 2) change2, etc...... That's great, but then the actual line is harder to read because it either runs off the screen or wraps and wraps and wraps. If I want to make messages like this: $git commit -a modified: path/to/file.cpp/.h 1) change1 2) change2 etc...... is there a good way to then use grep or cut or some other tool to get a readout like $git log | grep path/to/file.cpp/.h modified: path/to/file.cpp/.h 1) change1 2) change2 etc...... modified: path/to/file.cpp/.h 1) change1 2) change2 etc...... modified: path/to/file.cpp/.h 1) change1 2) change2 etc......

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  • Resize images to specific height value in ImageMagick?

    - by Jason
    I've looked around for this, and can't find an easily implemented solution. Currently I'm working on an application that deals with panoramas. As they come out of the batch stitch process, the dimensions average 18000x4000. Using ImageMagick, how can I downscale those images to a specific height value while maintaining aspect ratio? According to the manual, the convert operation takes in both height and width to resize to while maintaining the same aspect ratio. What I'd like is to put in 600 and 1000 in my existing resize script function and have both a regular viewable image as well as a reduced size.

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  • How do I throttle a command in a terminal window?

    - by To Do
    I needed to run convert with a lot of images at the same time. The command took quite a while but this doesn't bother me. The issue is that this command rendered my computer unusable while the command was running (for about 15 minutes). So is it possible to throttle the command by limiting resources (processor and memory) to the command, directly from the command line? This can only work if I add something to the same line before pressing Enter because once I start the process the computer slows so much that it is impossible for example to switch to "System monitor" and reduce priority. Edit: top and iotop results I managed to run top and sudo iotop >iotop.txt while doing one of these convert operations. (The iotop.txt file produced is difficult to read) Results of top: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 14275 username 20 0 4043m 3.0g 1448 D 7.0 80.4 0:16.45 convert Results of iotop: [?1049h[1;24r(B[m[4l[?7h[?1h=[39;49m[?25l[39;49m(B[m[H[2JTotal DISK READ: 1269.04 K/s | Total DISK WRITE:[59G0.00 B/s (B[0;7m TID PRIO USER DISK READ DISK WRITE SWAPIN(B[0;1;7m IO(B[0;7m COMMAND [3;2H(B[m2516 be/4 username 350.08 K/s 0.00 B/s 0.00 % 0.00 % zeitgeist-datahub 7394 be/4 username 568.88 K/s 0.00 B/s 77.41 % 0.00 % --rendere~.530483991[5;1H14275 idle username 350.08 K/s 0.00 B/s 37.49 % 0.00 % convert S~f test.pdf[6;2H2048 be/4 root[6;24H0.00 B/s 0.00 B/s 0.00 % 0.00 % [kworker/3:2] [5G1 be/4 root[7;24H0.00 B/s 0.00 B/s 0.00 % 0.00 % init Furthermore, even after the process ends, the computer does not return to the previous performance. I found a way around this by running sudo swapoff -a followed by sudo swapon -a

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  • How to make a text search template?

    - by Flipper
    I am not really sure what to call this, but I am looking for a way to have a "template" for my code to go by when searching for text. I am working on a project where a summary for a piece of text is supplied to the user. I want to allow the user to select a piece of text on the page so that the next time they come across a similar page I can find the text. For instance, lets say somebody goes to foxnews.com and selects the article like in the image below. Then whenever they go to any other foxnews.com article I would be able to identify the text for the article and summarize it for them. But an issue I see with this is for a site like Stack Exchange where you have multiple comments to be selected (like below) which means that I would have to be able to recursively search for all separate pieces of text. Requirements Be able to keep pieces of text separate from each other. Possible Issues DIV's may not contain ids, classes, or names. A piece of text may span across multiple DIVs How to recognize where an old piece of text ends and a new begins. How to store this information for later searching?

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  • No proper kmeans clustering of images in matlab

    - by user3237134
    I am having 1200 face images in my training set.There are 2989 test face images. I am using eigen faces (PCA) for feature extraction. I am using kmeans clustering. Source code I tried: IDX = kmeans(z,5); clustercount=accumarray(IDX, ones(size(IDX))); disp(clustercount); Problem: Images are not clustered properly. Same faces should be clustered. But different faces are being clustered. Questions: Should I have to use still more face images for training? How accuracy of clustering can be achieved? What is the solution?

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  • Possible applications of algorithm devised for differentiating between structured vs random text

    - by rooznom
    I have written a program that can rapidly (within 5 sec on a 2GB RAM desktop, 2.33 Ghz CPU) differentiate between structured text (e.g english text) and random alphanumeric strings. It can also provide a probability score for the prediction. Are there any practical applications/uses of such a program. Note that the program is based on entropy models and does not have any dictionary comparisons in its workflow. Thanks in advance for your responses

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  • Effective and simple matching for 2 unequal small-scale point sets

    - by Pavlo Dyban
    I need to match two sets of 3D points, however the number of points in each set can be different. It seems that most algorithms are designed to align images and trimmed to work with hundreds of thousands of points. My case are 50 to 150 points in each of the two sets. So far I have acquainted myself with Iterative Closest Point and Procrustes Matching algorithms. Implementing Procrustes algorithms seems like a total overkill for this small quantity. ICP has many implementations, but I haven't found any readily implemented version accounting for the so-called "outliers" - points without a matching pair. Besides the implementation expense, algorithms like Fractional and Sparse ICP use some statistics information to cancel points that are considered outliers. For series with 50 to 150 points statistic measures are often biased or statistic significance criteria are not met. I know of Assignment Problem in linear optimization, but it is not suitable for cases with unequal sets of points. Are there other, small-scale algorithms that solve the problem of matching 2 point sets? I am looking for algorithm names, scientific papers or C++ implementations. I need some hints to know where to start my search.

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  • Applying the Knuth-Plass algorithm (or something better?) to read two books with different length and amount of chapters in parallel

    - by user147133
    I have a Bible reading plan that covers the whole Bible in 180 days. For the most of the time, I read 5 chapters in the Old Testament and 1 or 2 (1.5) chapters in the New Testament each day. The problem is that some chapters are longer than others (for example Psalm 119 which is 7 times longer than a average chapter in the Bible), and the plan I'm following doesn't take that in count. I end up with some days having a lot more to read than others. I thought I could use programming to make myself a better plan. I have a datastructure with a list of all chapters in the bible and their length in number of lines. (I found that the number of lines is the best criteria, but it could have been number of verses or number of words as well) I then started to think about this problem as a line wrap problem. Think of a chapter like a word, a day like a line and the whole plan as a paragraph. The "length" of a word (a chapter) is the number of lines in that chapter. I could then generate the best possible reading plan by applying a simplified Knuth-Plass algorithm to find the best breakpoints. This works well if I want to read the Bible from beginning to end. But I want to read a little from the new testament each day in parallel with the old testament. Of course I can run the Knuth-Plass algorithm on the Old Testament first, then on the New Testament and get two separate plans. But those plans merged is not a optimal plan. Worst-case days (days with extra much reading) in the New Testament plan will randomly occur on the same days as the worst-case days in the Old Testament. Since the New Testament have about 180*1.5 chapters, the plan is generally to read one chapter the first day, two the second, one the third etc... And I would like the plan for the Old Testament to compensate for this alternating length. So I will need a new and better algorithm, or I will have to use the Knuth-Plass algorithm in a way that I've not figured out. I think this could be a interesting and challenging nut for people interested in algorithms, so therefore I wanted to see if any of you have a good solution in mind.

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  • How can I "bulk paste" a clipboard string of multi-line text into a readable ordered list?

    - by gunshor
    How can I "bulk paste" a clipboard string of multi-line text into a readable ordered list? I'm trying to demonstrate how to turn any string of multi-line text into an ordered list. The script (preferably JS) needs to respect: - carriage returns at the end of a line, to mean "that line ends here" - indentations at the beginning of a line, to mean "this is part of the item above it" - dashes at the beginning of a line, to mean "this is a task, and the line above it is its project"

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  • Would opencv be a good choice for image colour summarization?

    - by codecowboy
    I would like to analyse a set of hundreds of thousands of product images (clothing, electronic goods etc) and retrieve the dominant colours in each. I'm only interested in the top 3 or 4 colours. The aim is to achieve a degree of certainty that x image is mostly red or image y is mostly orange and blue. The images are likely to be colour jpegs of reasonable quality and approximately 100kb in size. I would like to use C# and the solution should run on a Linux server, preferably using open source libraries. Would opencv be a good choice for this? What other libraries or specific algorithms might be helpful?

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  • What is the simplest way for a slippy SVG visualization?

    - by totymedli
    I have a big SVG file representing a complicated graph with hundreds of points. I want to represent this in a web page. My idea was that I could make it like Google Maps represent their maps, in those slippy, dragable, moveable maps. I'am looking for an easy and fast JavaScript library which could do the work. What I need for my "map" is the drag/move, zoom ability, and some way to click on the points of the picture, which makes a little information apear about that point, like Google maps markers. I'am looking for a free/open source library. I saw some solutions but I'am uncertain about them, and none of them seemed to be perfet: Polymaps - I love the technique it uses, but I don't know much about this library. Leaflet - I love the simplicity of it, but I dont know how could I apply it for my SVG. Raphael - I heard the awesomeness of this, but It seemed a lots of work to do this task. What would be the best/easiest solution for my problem, and what is your opinion aboute the above libraries?

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