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  • Query Tuning Mastery at PASS Summit 2012: The Demos

    - by Adam Machanic
    For the second year in a row, I was asked to deliver a 500-level "Query Tuning Mastery" talk in room 6E of the Washington State Convention Center, for the PASS Summit. ( Here's some information about last year's talk, on workspace memory. ) And for the second year in a row, I had to deliver said talk at 10:15 in the morning, in a room used as overflow for the keynote, following a keynote speaker that didn't stop speaking on time. Frustrating! Last Thursday, after very, very quickly setting up and...(read more)

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  • What word processor can manage left and right pages separately?

    - by chtfn
    I was after a word processor that can manage left and right pages separately so I can have my text on the right pages and my illustrations on the left pages. I know LibeOffice can set "left page" and "right page" formats, but there is no simple way to make the text jump from right page to right page when writing. I don't know what would be the best way to do that, but I guess I need an app that is designed for writing books and do that kind of thing, or an app that can associate a page format with an object format (so the "illustration" format can be exclusively associated with "left page" format, and "text body" exclusively associated with "right page", for example). Or is there an extension for LO or OOo out there that I didn't hear about? Cheers!

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  • Stereo images rectification and disparity: which algorithms?

    - by alessandro.francesconi
    I'm trying to figure out what are currently the two most efficent algorithms that permit, starting from a L/R pair of stereo images created using a traditional camera (so affected by some epipolar lines misalignment), to produce a pair of adjusted images plus their depth information by looking at their disparity. Actually I've found lots of papers about these two methods, like: "Computing Rectifying Homographies for Stereo Vision" (Zhang - seems one of the best for rectification only) "Three-step image recti?cation" (Monasse) "Rectification and Disparity" (slideshow by Navab) "A fast area-based stereo matching algorithm" (Di Stefano - seems a bit inaccurate) "Computing Visual Correspondence with Occlusions via Graph Cuts" (Kolmogorov - this one produces a very good disparity map, with also occlusion informations, but is it efficient?) "Dense Disparity Map Estimation Respecting Image Discontinuities" (Alvarez - toooo long for a first review) Anyone could please give me some advices for orienting into this wide topic? What kind of algorithm/method should I treat first, considering that I'll work on a very simple input: a pair of left and right images and nothing else, no more information (some papers are based on additional, pre-taken, calibration infos)? Speaking about working implementations, the only interesting results I've seen so far belongs to this piece of software, but only for automatic rectification, not disparity: http://stereo.jpn.org/eng/stphmkr/index.html I tried the "auto-adjustment" feature and seems really effective. Too bad there is no source code...

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  • Serial plans: Threshold / Parallel_degree_limit = 1

    - by jean-pierre.dijcks
    As a very short follow up on the previous post. So here is some more on getting a serial plan and why that happens Another reason - compared to the auto DOP is not on as we looked at in the earlier post - and often more prevalent to get a serial plan is if the plan simply does not take long enough to consider a parallel path. The resulting plan and note looks like this (note that this is a serial plan!): explain plan for select count(1) from sales; SELECT PLAN_TABLE_OUTPUT FROM TABLE(DBMS_XPLAN.DISPLAY()); PLAN_TABLE_OUTPUT -------------------------------------------------------------------------------- Plan hash value: 672559287 -------------------------------------------------------------------------------------- | Id  | Operation            | Name  | Rows  | Cost (%CPU)| Time     | Pstart| Pstop | -------------------------------------------------------------------------------------- PLAN_TABLE_OUTPUT -------------------------------------------------------------------------------- |   0 | SELECT STATEMENT     |       |     1 |     5   (0)| 00:00:01 |       |     | |   1 |  SORT AGGREGATE      |       |     1 |            |          |       |     | |   2 |   PARTITION RANGE ALL|       |   960 |     5   (0)| 00:00:01 |     1 |  16 | |   3 |    TABLE ACCESS FULL | SALES |   960 |     5   (0)| 00:00:01 |     1 |  16 | Note -----    - automatic DOP: Computed Degree of Parallelism is 1 because of parallel threshold 14 rows selected. The parallel threshold is referring to parallel_min_time_threshold and since I did not change the default (10s) the plan is not being considered for a parallel degree computation and is therefore staying with the serial execution. Now we go into the land of crazy: Assume I do want this DOP=1 to happen, I could set the parameter in the init.ora, but to highlight it in this case I changed it on the session: alter session set parallel_degree_limit = 1; The result I get is: ERROR: ORA-02097: parameter cannot be modified because specified value is invalid ORA-00096: invalid value 1 for parameter parallel_degree_limit, must be from among CPU IO AUTO INTEGER>=2 Which of course makes perfect sense...

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  • SQL University: Parallelism Week - Introduction

    - by Adam Machanic
    Welcome to Parallelism Week at SQL University . My name is Adam Machanic, and I'm your professor. Imagine having 8 brains, or 16, or 32. Imagine being able to break up complex thoughts and distribute them across your many brains, so that you could solve problems faster. Now quit imagining that, because you're human and you're stuck with only one brain, and you only get access to the entire thing if you're lucky enough to have avoided abusing too many recreational drugs. For your database server,...(read more)

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  • How to properly render a Frame Buffer to the BackBuffer in Stage3D / AGAL

    - by bigp
    After doing a render pass with RenderToTarget (RTT), how do you properly render that texture buffer to the screen while maintaining original scale / proportions so it doesn't stretch or lose quality? Can an AGAL VertexShader & FragmentShader be written so it's adaptable to any Texture size and Viewport dimensions? I find I'm getting some "blocky" effects in some of my first attempts at "ping-ponging" between two Texture buffers (to create trailing effects). Perhaps I'm not using the UVs correctly between the rendering-to-target and/or the backbuffer? Is there a simpler way just to "splash" the texture on the backbuffer, or is a Quad absolutely necessary (4 vertices, 2 triangles)? If it needs the Quad, should the Texture buffer be fully drawn (0.0 to 1.0 for vertical and horizontal UVs), or only a percentage of it should, like the example below? Texture Buffer U: 0.0 to viewport.width/texturebuffer.width; Texture Buffer V: 0.0 to viewport.height/texturebuffer.height; Thanks!

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  • XNA - Error while rendering a texture to a 2D render target via SpriteBatch

    - by Jared B
    I've got this simple code that uses SpriteBatch to draw a texture onto a RenderTarget2D: private void drawScene(GameTime g) { GraphicsDevice.Clear(skyColor); GraphicsDevice.SetRenderTarget(targetScene); drawSunAndMoon(); effect.Fog = true; GraphicsDevice.SetVertexBuffer(line); effect.MainEffect.CurrentTechnique.Passes[0].Apply(); GraphicsDevice.DrawPrimitives(PrimitiveType.TriangleStrip, 0, 2); GraphicsDevice.SetRenderTarget(null); SceneTexture = targetScene; } private void drawPostProcessing(GameTime g) { effect.SceneTexture = SceneTexture; GraphicsDevice.SetRenderTarget(targetBloom); spriteBatch.Begin(SpriteSortMode.Immediate, BlendState.Opaque, null, null, null); { if (Bloom) effect.BlurEffect.CurrentTechnique.Passes[0].Apply(); spriteBatch.Draw( targetScene, new Rectangle(0, 0, Window.ClientBounds.Width, Window.ClientBounds.Height), Color.White); } spriteBatch.End(); BloomTexture = targetBloom; GraphicsDevice.SetRenderTarget(null); } Both methods are called from my Draw(GameTime gameTime) function. First drawScene is called, then drawPostProcessing is called. The thing is, when I run this code I get an error on the spriteBatch.Draw call: The render target must not be set on the device when it is used as a texture. I already found the solution, which is to draw the actual render target (targetScene) to the texture so it doesn't create a reference to the loaded render target. However, to my knowledge, the only way of doing this is to write: GraphicsDevice.SetRenderTarget(outputTarget) SpriteBatch.Draw(inputTarget, ...) GraphicsDevice.SetRenderTarget(null) Which encounters the same exact problem I'm having right now. So, the question I'm asking is: how would I render inputTarget to outputTarget without reference issues?

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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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  • 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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  • 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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  • ZeroBin Is an Encrypted PasteBin Alternative

    - by Jason Fitzpatrick
    ZeroBin is like the heavily armored sibling of PasteBin; You can still paste large chunks of text but that text is encrypted with client-side encryption. PasteBin is great when you need to share snippets of code or log files, the only problem is the service is essentially wide open. Not such a big deal if you’re sharing your XBMC logs on the support forum to get a little help figuring out why your movie list won’t update, but less than idea if you’re sharing more sensitive information. ZeroBin steps in to fill that gap by offering client-side encryption where ZeroBin has no knowledge of the content of your shared text snippets. In addition you can set up the ZeroBin content to self destruct after a set amount of time. Hit up the link below to take ZeroBin for a spin. ZeroBin [via One Thing Well] How to Stress Test the Hard Drives in Your PC or Server How To Customize Your Android Lock Screen with WidgetLocker The Best Free Portable Apps for Your Flash Drive Toolkit

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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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  • 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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  • 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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  • 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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  • Generating grammatically correct MUD-style attack descriptions

    - by Extrakun
    I am currently working on a text based game, where the outcome of a combat round goes something like this %attacker% inflicts a serious wound (12 points damage) on %defender% Right now, I just swap %attacker% with the name of the attacker, and %defender% for the name of the defender. However, the description works, but don't read correctly. Since the game is just all text, I don't want to resort to generic descriptions (Such as "You use Attack on Goblin for 5 damage", which arguably solve the problem) How do I generate correct descriptions for cases where %attacker% refers to "You", the player? "You inflicts..." is wrong "Bees", or other plural? I need somehow to know I should prefix the name with a "The " If %attacker% is a generic noun, such as "Goblin", it will read weird as opposed to %attacker% being a name. Compare "Goblin inflicts..." vs. "Aldraic Swordbringer inflicts...." How does text-based games usually resolve such issues?

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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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  • What's the best language to use for a simple windows 7 dynamic gui desktop app [closed]

    - by Gregor Samsa
    [Note: I hope I am not breaking etiquette, but I originally posted a variant on this question here, but am re-asking here because I am making this now solely a question about programming.] I would like to program of the following simple form: The user can produce X number of resizable frames (analogous to HTML frames). Each frame serves as a simple text editor, which you can type into and save the whole configuration including resized windows and text. The user should be able alternately "freeze" and present the information, and "unfreeze" and edit frames. Thus it will be a cross between a calendar and a text editor. I don't particularly care if it is a web application or not. What languages are ideal for such a setup? I know some C and Python and Html, and am willing to learn others if need be. It seems to me this should be a relatively easy program to make, but I need a little direction before starting. EDIT: My OS is Windows 7.

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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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  • 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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  • 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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