haar wavelet - Page 2 - Developer IT

CodePlex Daily Summary for Thursday, May 13, 2010

CodePlex Daily Summary for Thursday, May 13, 2010New ProjectsC# 4.0: VS 2010Collaborative Rich Text Edit Prototype Silverlight on Windows Azure: Working like Google Doc but based on Silverlight/Windows Azure. Multiple users can edit one rich text document simultaneously. This is a POC and my...Consulting Assigment: Proyecto de consultoría para el curso Gestión de proyectos de la UCRCS 105 MP Splitter: Simple program to help with splitting up MPs for grading.DipEngine - graphic engine written on Xen for XNA: DIPEngine makes it easier for developers to use it in your game. It's developed in C# and using Xen for XNADotNetAgent: Agent FrameworkExtending C# editor - Outlining, classification: Extensions to VS C# editor current feautereset. Outlining for switch, for(each), if etc. statements. Classification types for method parameters and...Floe IRC Client: Floe is an IRC client written entirely in C#, using the .NET 4.0 framework with WPF technology. It is inspired largely by both XChat and mIRC, and ...Gestalt.Net: Gestalt.Net is a simple to use library for application configuration. It allows for more flexibility, easier to use, and more powerful than the app...GIM.OnlineChess: An implementation of online long-term chessGoogleTrail: Create and Export using the google map to develop the Trek Trails and Export Those Trails as Garmin Custom Map Compatible MapsGrassidi: What could Grassidi be?HodsAudio: Personal web based music library.Hospital Manage System: Free Hospital Manage SystemHtml Reader: Html Reader makes it easier for WPF WebBrowser users to access the Document property, and retrieve information from HTML pages. You'll no longer ha...Intellitouch.BackOffice: This project is a control for a menu.Jank: JankKooBoo Image Galery: It's a Module for kooboo that implements an image galery admin and view Developed for kooboo 2.1.1.0MoonyDesk (windows desktop widgets): Windows desktop plugin based widgets system written on WPFMSNSharp Application with Video Conferencing Feature: In MSN World, users don’t communicate directly each other.I examined P2P open source video/audio conference systems . After researching, I found Vi...mysample: study sample siteNoteFlyBot: An Intelligent Note Program is: - a 'Post-it' note that accept sNatural Language command to Upload content to EMC Repositories - Start Workflow...OpenGraphNET: A OpenGraphNET is a simple parser for the Open Graph protocol created by Facebook. More information on this can be found at opengraphprotocol.org.POCO - ADO.NET Entity Framework 4.0: The sample shows how to retrieve the data using POCO using EDM 4.0. Database used: Northwind (http://www.microsoft.com/downloads/details.aspx?Fa...sqlmx: sqlmxUpgrade Log Parser for SharePoint 2010: This is a simple Upgrade Log Parser for SharePoint 2010. It will add a node in the upgrade section of the central administration and deploy a pag...New ReleasesAMP (Adamo Media Player): AMP (Adamo Media Player): First Release version 0.1.0 Installation Instructions Unzip the package Run Setup.exe Follow Setup instructions File includes .NET Framework ...BeanProxy: BeanProxy 2.8: BeanProxy is a C# (.NET 3.5) library housing classes that facilitates unit testing. Any non-static, public interface/class/or abstract class can be...Begtostudy-Test: Test V1: Download to testCBM-Command: 2010-05-13: Release Notes - 2010-05-13New Features Configuration Manager is complete Changes Had to put CBM-Command on a big-time diet. Ran out of room on the...CS 105 MP Splitter: CS 105 MP Splitter: Uses SharpZipLib for unzipping (http://www.icsharpcode.net/OpenSource/SharpZipLib/) Uses ILMerge to merge it all into a single executable (http://w...DipEngine - graphic engine written on Xen for XNA: DipGUI: Provides simple controls for use itEvent Scavenger: Collector service update - version 3.2.3: Added additional functionality to check if host/machine is available on the network before trying to open Event log. Also added code to try to use ...ExcelExportLib: ExcelExportLib 1.4.0.0: Solution converted to Visual Studio 2010 - Added support for formulas in cells - Added support for cell naming - Added support for cell's comments...F# Project Extender: V0.9.1.0 (VS2008,VS2010): F# project extender for Visual Studio 2008 and Visual Studio 2010. What's new : Now supports both Visual Studio 2010 and Visual Studio 2008 Fixed...Floe IRC Client: Floe IRC Client 2010-05: Initial release. Note: The .NET Framework v4.0 is required to run this app. It can be downloaded here: http://www.microsoft.com/downloads/details....Fluent Assertions: Release 1.2.1: This is small release with two improvements: You can now use the Enumeration() extension method on a Func<IEnumerable> before calling ShouldThrow<T...Gestalt.Net: Gestalt.Net 1.0: Initial release of Gestalt.Net, a simple to use library for application configuration. It allows for more flexibility, easier to use, and more powe...GPdotNET - Tree Based Genetic Programming Tool: GPdotNETv0.9: This is the same version as previous, but compiled with Visual Studio 2010 and .NET 4.0. You no longer need CTP of ParallelFX.HKGolden Express: HKGoldenExpress (Build 201005122025): New features: (None) Bug fix: (None) Improvements: HKGolden Express now parse JSON data rather than XML document from HKGolden API. This shoul...Jobping Url Shortener: Deploy Code 0.3: Contains only the files for running 0.3 version of the code.Jobping Url Shortener: Source Code 0.3: Feature added: Restriction placed on the domains that the shortener will shorten. Our installation will only shorten www.jobping.com urls. Bug Fix...KooBoo Image Galery: Beta 1: This is the first release and it is divided in some parts Module Install - Is the admin module and an default view Plugin - returns the galery as...LinkedIn® for Windows Mobile: LinkedIn for Windows Mobile v0.8.5: Changes in release 0.8.5 Allow for multiple updatetypes. Add search by Company. Show profiles of all people in an update .MDownloader: MDownloader-0.15.13.58780: Fixed Uploading.com dead links detection; Fixed links detection at pages and in FilesTube results; Fixed RSS channel checking; Enabled by def...Microsoft - Domain Oriented N-Layered .NET 4.0 App Sample (Microsoft Spain): V0.8 - N-Layer DDD Sample App (VS.2010 RTM compat): Required Software (Microsoft Base Software needed for Development environment) Visual Studio 2010 RTM & .NET 4.0 RTM (Final Versions) Unity Applic...MoonyDesk (windows desktop widgets): MoonyDesk: MoonyDesk alpha releaseMSNSharp Application with Video Conferencing Feature: MSNVideoChat: Msn Video Chat Application's exe and screenshot is attached.NazTek.Extension.Clr35: NazTek.Extension.Clr35 Binary: FxCop compliant codebaseNazTek.Extension.Clr35: NazTek.Extension.Clr35 Signed Binary: Signed binaryNazTek.Extension.Clr35: NazTek.Extension.Clr35 Signed Source: Signed sourceNazTek.Extension.Clr35: NazTek.Extension.Clr35 Source: FxCop compliant codebasepatterns & practices Web Client Developer Guidance: Web Client Software Factory 2010 Guide: If the right-side pane of the chm file is not displayed correctly, do the following: 1) Download WCSF2010Guide.chm file. 2) Start the windows explo...Powershell Scripts for Admins: BizTalk PowerShell Module: BizTalk PowerShell Module Available commands : Get-Applications Start-Application Stop-Application Get-HostInstances Start-HostInstance Stop-Hos...Reusable Library: V1.0.8: A collection of reusable abstractions for enterprise application developerReusable Library Demo: V1.0.6: A demonstration of reusable abstractions for enterprise application developerRobot Shootans: Robot Shootans 0.9: This is the second public release of the game. All instructions for play are in the game itself. Known issues: Bullet collision is still a little...Rx Contrib: V1.2: - Bug fix - API changes public static ReactiveQueue<T> CreateConcurrentQueue( ConcurrentPublicationBehavior concurrentPublicationBeha...SqlDiffFramework-A Visual Differencing Engine for Dissimilar Data Sources: SqlDiffFramework 1.0.1.0: Maintenance Release An embedded user control inadvertently assumed US regional and language settings; with non-US settings the application crashed ...Transcriber: Transcriber V0.5.0: Pre-releaseUpgrade Log Parser for SharePoint 2010: Upgrade Log Parser for SharePoint 2010: Introduction I did an upgrade from MOSS 2007 to SharePoint 2010 and SP2010 generated such a large log file and I really didn't feel like scrolling ...VCC: Latest build, v2.1.30512.0: Automatic drop of latest buildVisual Leak Detector for Visual C++ 2008/2010: v2.0a: Renamed vld dll files. Problem with MSVC 2010 Unicode library fixed.VsTortoise - a TortoiseSVN add-in for Microsoft Visual Studio: VsTortoise Build 24 Beta: Build 24 (beta) New: Added "Open Modified File..." to Solution Explorer context menus. VsTortoise.SolutionExplorerSelectedItemsOpenModifiedFile com...WatchersNET.TagCloud: WatchersNET.TagCloud 01.05.00: Whats New Custom Tags: Tag Name and Tag Url can be localized New Option to set Start Date to grab Search Referrals from New Option to Choose th...Wavelet analysis: Wavelet analysis: Первая публичная версия проекта.XNA Shooter Engine: ModelViewer Alpha 1 Preview: ModelViewer is a utility for previewing HLSL shaders and XNA BasicEffects using the XSE rendering engine. It can also be used with the Microsoft XN...Yet another developer blog - Examples: XML and XSLT transformation in ASP.NET MVC example: This sample application shows how to perform XSL transformation of XML file in ASP.NET MVC (using dedicated HtmlHelper extensions or ActionResult)....Most Popular ProjectsWBFS ManagerRawrAJAX Control ToolkitMicrosoft SQL Server Product Samples: DatabaseSilverlight ToolkitWindows Presentation Foundation (WPF)patterns & practices – Enterprise LibraryMicrosoft SQL Server Community & SamplesPHPExcelASP.NETMost Active Projectspatterns & practices – Enterprise LibraryMirror Testing SystemRawrBlogEngine.NETPHPExcelwhitejQuery Library for SharePoint Web ServicesMicrosoft Biology FoundationFarseer Physics EngineShake - C# Make

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Do you know a good and efficient FFT?

- by yan bellavance

Hi, I am trying to find a very fast and efficient Fourier transform (FFT). Does anyone know of any good ones. I need to run it on the iPhone so it must not be intensive. Instead, maybe you know of one that is wavelet like, i need frequency resolution but only a narrow band (vocal audio range up to 10khz max...even 10Khz might be too high). Im thinking also of truncating this FFT to keep the frequency resolution while eliminating the unwanted frequency band. This is for an iphone ...I have taken a look at the FFT in Aurio touch but it seems this is an int FFT but my app uses floats.....would it give a big performance increase to try and adapt program to an int FFT or not(which i really dont feel like doing...plus aurio touch uses a radix 2 FFT which is not that great).

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Is there any algorithm for finding LINES by PIXEL COLORS on picture?

- by Ole Jak

So I have Image like this I want to get something like this (I hevent drawn all lines I want but I hope you can get my idea) I need algorithm for finding all straight lines on it by just reading colors of pixels. No hard math, no Haar, no Hough. Some algorithm which would be based on points colors. I want to give to algorithm parameters like min line length and max line distortion. I want to get relative to picture pixel coords start and end points of lines. So I need algorithm for finding straight lines of different colors on picture. Algorithm which would be based on idea of image of different colors and Lines of static colors. Yes - such algorithm will not work for images with lots of shadows and lights. But It willl probably be fast (I hope so). Is there any such algorithm?

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Adaboost algorithm and its usage in face detection

- by Hani

I am trying to understand Adaboost algorithm but i have some troubles. After reading about Adaboost i realized that it is a classification algorithm(somehow like neural network). But i could not know how the weak classifiers are chosen (i think they are haar-like features for face detection) and how finally the H result which is the final strong classifier can be used. I mean if i found the alpha values and compute the H ,how am i going to benefit from it as a value (one or zero) for new images. Please is there an example describes it in a perfect way? i found the plus and minus example that is found in most adaboost tutorials but i did not know how exactly hi is chosen and how to adopt the same concept on face detection. I read many papers and i had many ideas but until now my ideas are not well arranged. Thanks....

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Mapping functions of 2D numpy arrays

- by perimosocordiae

I have a function foo that takes a NxM numpy array as an argument and returns a scalar value. I have a AxNxM numpy array data, over which I'd like to map foo to give me a resultant numpy array of length A. Curently, I'm doing this: result = numpy.array([foo(x) for x in data]) It works, but it seems like I'm not taking advantage of the numpy magic (and speed). Is there a better way? I've looked at numpy.vectorize, and numpy.apply_along_axis, but neither works for a function of 2D arrays. EDIT: I'm doing boosted regression on 24x24 image patches, so my AxNxM is something like 1000x24x24. What I called foo above applies a Haar-like feature to a patch (so, not terribly computationally intensive).

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Extracting Information from Images

- by Khorkrak

What are some fast and somewhat reliable ways to extract information about images? I've been tinkering with openCV and this seems so far to be the best route plus it has Python bindings. So to be more specific I'd like to determine what I can about what's in an image. So for example the haar face detection and full body detection classifiers are great - now I can tell that most likely there are faces and / or people in the image as well as about how many. okay - what else - how about whether there are any buildings and if so what do they seem to be - huts, office buildings etc? Is there sky visible, grass, trees and so forth. From what I've read about training classifiers to detect objects, it seems like a rather laborious process 10,000 or so wrong images and 5,000 or so correct samples to train a classifier. I'm hoping that there are some decent ones around already instead of having to do this all myself for a bunch of different objects - or is there some other way to go about this sort of thing?

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OpenCV shape matching

- by MAckerman

I'm new to OpenCV (am actually using Emgu CV C# wrapper) and am attempting to do some object detection. I'm attempting to determine if an object matches a predefined set of objects (that I will have to define). The background is well lit and does not move. My objects that I am starting with are bottles and cans. My current approach is: Do absDiff with a previously taken background image to separate the background. Then dilate 4x to make the lighter areas (in labels) shrink. Then I do a binary threshold to get a big blog, followed by finding contours in this image. I then take the largest contour and draw it, which becomes my shape to either save to the accepted set or compare with the accepted set. Currently I'm using cvMatchShapes, but the double return value seems to vary widely. I'm guessing it is because it doesn't take into account rotation. Is this approach a good one? It isn't working well for glass bottles since the edges are hard to find... I've read about haar classifiers, but thinking that might be overkill for my task.

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Choosing a VS project type (C++)

- by typoknig

Hi all, I do not use C++ much (I try to stick to the easier stuff like Java and VB.NET), but the lately I have not had a choice. When I am picking a project type in VS for some C++ source I download, what project type should I pick? I had just been sticking with Win32 Console Applications, but I just downloaded some code (below) that will not work right even when it compiles with out errors. I have tried to use a CLR Console Application and an empty project too, and have changed many variables along the way, but I cannot get this code to work. I noticed that this code does not have "int main()" at its beginning, does that have something to do with it? Anyways, here is the code, got it from here: /* Demo of modified Lucas-Kanade optical flow algorithm. See the printf below */ #ifdef _CH_ #pragma package <opencv> #endif #ifndef _EiC #include "cv.h" #include "highgui.h" #include <stdio.h> #include <ctype.h> #endif #include <windows.h> #define FULL_IMAGE_AS_OUTPUT_FILE #define cvMirror cvFlip //IplImage *image = 0, *grey = 0, *prev_grey = 0, *pyramid = 0, *prev_pyramid = 0, *swap_temp; IplImage **buf = 0; IplImage *image1 = 0; IplImage *imageCopy=0; IplImage *image = 0; int win_size = 10; const int MAX_COUNT = 500; CvPoint2D32f* points[2] = {0,0}, *swap_points; char* status = 0; //int count = 0; //int need_to_init = 0; //int night_mode = 0; int flags = 0; //int add_remove_pt = 0; bool bLButtonDown = false; //bool bstopLoop = false; CvPoint pt, pt1,pt2; //IplImage* img1; FILE* FileDest; char* strImageDir = "E:\\Projects\\TSCreator\\Images"; char* strItemName = "b"; int imageCount=0; int bFirstFace = 1; // flag for first face int mode = 1; // Mode 1 - Haar Traing Sample Creation, 2 - HMM sample creation, Mode = 3 - Both Harr and HMM. //int startImgeNo = 1; bool isEqualRation = false; //Weidth to height ratio is equal //Selected Image data IplImage *selectedImage = 0; int selectedX = 0, selectedY = 0, currentImageNo = 0, selectedWidth = 0, selectedHeight= 0; CvRect selectedROI; void saveFroHarrTraining(IplImage *src, int x, int y, int width, int height, int imageCount); void saveForHMMTraining(IplImage *src, CvRect roi,int imageCount); // Code for draw ROI Cropping Image void on_mouse( int event, int x, int y, int flags, void* param ) { char f[200]; CvRect reg; if( !image ) return; if( event == CV_EVENT_LBUTTONDOWN ) { bLButtonDown = true; pt1.x = x; pt1.y = y; } else if ( event == CV_EVENT_MOUSEMOVE ) //Draw the selected area rectangle { pt2.x = x; pt2.y = y; if(bLButtonDown) { if( !image1 ) { /* allocate all the buffers */ image1 = cvCreateImage( cvGetSize(image), 8, 3 ); image1->origin = image->origin; points[0] = (CvPoint2D32f*)cvAlloc(MAX_COUNT*sizeof(points[0][0])); points[1] = (CvPoint2D32f*)cvAlloc(MAX_COUNT*sizeof(points[0][0])); status = (char*)cvAlloc(MAX_COUNT); flags = 0; } cvCopy( image, image1, 0 ); //Equal Weight-Height Ratio if(isEqualRation) { pt2.y = pt1.y + (pt2.x-pt1.x); } //Max Height and Width is the image width and height if(pt2.x>image->width) { pt2.x = image->width; } if(pt2.y>image->height) { pt2.y = image->height; } CvPoint InnerPt1 = pt1; CvPoint InnerPt2 = pt2; if ( InnerPt1.x > InnerPt2.x) { int tempX = InnerPt1.x; InnerPt1.x = InnerPt2.x; InnerPt2.x = tempX; } if ( pt2.y < InnerPt1.y ) { int tempY = InnerPt1.y; InnerPt1.y = InnerPt2.y; InnerPt2.y = tempY; } InnerPt1.y = image->height - InnerPt1.y; InnerPt2.y = image->height - InnerPt2.y; CvFont font; double hScale=1.0; double vScale=1.0; int lineWidth=1; cvInitFont(&font,CV_FONT_HERSHEY_SIMPLEX|CV_FONT_ITALIC, hScale,vScale,0,lineWidth); char size [200]; reg.x = pt1.x; reg.y = image->height - pt2.y; reg.height = abs (pt2.y - pt1.y); reg.width = InnerPt2.x -InnerPt1.x; //print width and heght of the selected reagion sprintf(size, "(%dx%d)",reg.width, reg.height); cvPutText (image1,size,cvPoint(10,10), &font, cvScalar(255,255,0)); cvRectangle(image1, InnerPt1, InnerPt2, CV_RGB(255,0,0), 1); //Mark Selected Reagion selectedImage = image; selectedX = pt1.x; selectedY = pt1.y; selectedWidth = reg.width; selectedHeight = reg.height; selectedROI = reg; //Show the modified image cvShowImage("HMM-Harr Positive Image Creator",image1); } } else if ( event == CV_EVENT_LBUTTONUP ) { bLButtonDown = false; // pt2.x = x; // pt2.y = y; // // if ( pt1.x > pt2.x) // { // int tempX = pt1.x; // pt1.x = pt2.x; // pt2.x = tempX; // } // // if ( pt2.y < pt1.y ) // { // int tempY = pt1.y; // pt1.y = pt2.y; // pt2.y = tempY; // // } // //reg.x = pt1.x; //reg.y = image->height - pt2.y; // //reg.height = abs (pt2.y - pt1.y); ////reg.width = reg.height/3; //reg.width = pt2.x -pt1.x; ////reg.height = (2 * reg.width)/3; #ifdef FULL_IMAGE_AS_OUTPUT_FILE CvRect FullImageRect; FullImageRect.x = 0; FullImageRect.y = 0; FullImageRect.width = image->width; FullImageRect.height = image->height; IplImage *regionFullImage =0; regionFullImage = cvCreateImage(cvSize (FullImageRect.width, FullImageRect.height), image->depth, image->nChannels); image->roi = NULL; //cvSetImageROI (image, FullImageRect); //cvCopy (image, regionFullImage, 0); #else IplImage *region =0; region = cvCreateImage(cvSize (reg.width, reg.height), image1->depth, image1->nChannels); image->roi = NULL; cvSetImageROI (image1, reg); cvCopy (image1, region, 0); #endif //cvNamedWindow("Result", CV_WINDOW_AUTOSIZE); //selectedImage = image; //selectedX = pt1.x; //selectedY = pt1.y; //selectedWidth = reg.width; //selectedHeight = reg.height; ////currentImageNo = startImgeNo; //selectedROI = reg; /*if(mode == 1) { saveFroHarrTraining(image,pt1.x,pt1.y,reg.width,reg.height,startImgeNo); } else if(mode == 2) { saveForHMMTraining(image,reg,startImgeNo); } else if(mode ==3) { saveFroHarrTraining(image,pt1.x,pt1.y,reg.width,reg.height,startImgeNo); saveForHMMTraining(image,reg,startImgeNo); } else { printf("Invalid mode."); } startImgeNo++;*/ } } /* Save popsitive samples for Harr Training. Also add an entry to the PositiveSample.txt with the location of the item of interest. */ void saveFroHarrTraining(IplImage *src, int x, int y, int width, int height, int imageCount) { char f[255] ; sprintf(f,"%s\\%s\\harr_%s%d%d.jpg",strImageDir,strItemName,strItemName,imageCount/10, imageCount%10); cvNamedWindow("Harr", CV_WINDOW_AUTOSIZE); cvShowImage("Harr", src); cvSaveImage(f, src); printf("output%d%d \t ", imageCount/10, imageCount%10); printf("width %d \t", width); printf("height %d \t", height); printf("x1 %d \t", x); printf("y1 %d \t\n", y); char f1[255]; sprintf(f1,"%s\\PositiveSample.txt",strImageDir); FileDest = fopen(f1, "a"); fprintf(FileDest, "%s\\harr_%s%d.jpg 1 %d %d %d %d \n",strItemName,strItemName, imageCount, x, y, width, height); fclose(FileDest); } /* Create Sample Images for HMM recognition algorythm trai ning. */ void saveForHMMTraining(IplImage *src, CvRect roi,int imageCount) { char f[255] ; printf("x=%d, y=%d, w= %d, h= %d\n",roi.x,roi.y,roi.width,roi.height); //Create the file name sprintf(f,"%s\\%s\\hmm_%s%d.pgm",strImageDir,strItemName,strItemName, imageCount); //Create storage for grayscale image IplImage* gray = cvCreateImage(cvSize(roi.width,roi.height), 8, 1); //Create storage for croped reagon IplImage* regionFullImage = cvCreateImage(cvSize(roi.width,roi.height),8,3); //Croped marked region cvSetImageROI(src,roi); cvCopy(src,regionFullImage); cvResetImageROI(src); //Flip croped image - otherwise it will saved upside down cvConvertImage(regionFullImage, regionFullImage, CV_CVTIMG_FLIP); //Convert croped image to gray scale cvCvtColor(regionFullImage,gray, CV_BGR2GRAY); //Show final grayscale image cvNamedWindow("HMM", CV_WINDOW_AUTOSIZE); cvShowImage("HMM", gray); //Save final grayscale image cvSaveImage(f, gray); } int maina( int argc, char** argv ) { CvCapture* capture = 0; //if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0]))) // capture = cvCaptureFromCAM( argc == 2 ? argv[1][0] - '0' : 0 ); //else if( argc == 2 ) // capture = cvCaptureFromAVI( argv[1] ); char* video; if(argc ==7) { mode = atoi(argv[1]); strImageDir = argv[2]; strItemName = argv[3]; video = argv[4]; currentImageNo = atoi(argv[5]); int a = atoi(argv[6]); if(a==1) { isEqualRation = true; } else { isEqualRation = false; } } else { printf("\nUsage: TSCreator.exe <Mode> <Sample Image Save Path> <Sample Image Save Directory> <Video File Location> <Start Image No> <Is Equal Ratio>\n"); printf("Mode = 1 - Haar Traing Sample Creation. \nMode = 2 - HMM sample creation.\nMode = 3 - Both Harr and HMM\n"); printf("Is Equal Ratio = 0 or 1. 1 - Equal weidth and height, 0 - custom."); printf("Note: You have to create the image save directory in correct path first.\n"); printf("Eg: TSCreator.exe 1 E:\Projects\TSCreator\Images A 11.avi 1 1\n\n"); return 0; } capture = cvCaptureFromAVI(video); if( !capture ) { fprintf(stderr,"Could not initialize capturing...\n"); return -1; } cvNamedWindow("HMM-Harr Positive Image Creator", CV_WINDOW_AUTOSIZE); cvSetMouseCallback("HMM-Harr Positive Image Creator", on_mouse, 0); //cvShowImage("Test", image1); for(;;) { IplImage* frame = 0; int i, k, c; frame = cvQueryFrame( capture ); if( !frame ) break; if( !image ) { /* allocate all the buffers */ image = cvCreateImage( cvGetSize(frame), 8, 3 ); image->origin = frame->origin; //grey = cvCreateImage( cvGetSize(frame), 8, 1 ); //prev_grey = cvCreateImage( cvGetSize(frame), 8, 1 ); //pyramid = cvCreateImage( cvGetSize(frame), 8, 1 ); // prev_pyramid = cvCreateImage( cvGetSize(frame), 8, 1 ); points[0] = (CvPoint2D32f*)cvAlloc(MAX_COUNT*sizeof(points[0][0])); points[1] = (CvPoint2D32f*)cvAlloc(MAX_COUNT*sizeof(points[0][0])); status = (char*)cvAlloc(MAX_COUNT); flags = 0; } cvCopy( frame, image, 0 ); // cvCvtColor( image, grey, CV_BGR2GRAY ); cvShowImage("HMM-Harr Positive Image Creator", image); cvSetMouseCallback("HMM-Harr Positive Image Creator", on_mouse, 0); c = cvWaitKey(0); if((char)c == 's') { //Save selected reagion as training data if(selectedImage) { printf("Selected Reagion Saved\n"); if(mode == 1) { saveFroHarrTraining(selectedImage,selectedX,selectedY,selectedWidth,selectedHeight,currentImageNo); } else if(mode == 2) { saveForHMMTraining(selectedImage,selectedROI,currentImageNo); } else if(mode ==3) { saveFroHarrTraining(selectedImage,selectedX,selectedY,selectedWidth,selectedHeight,currentImageNo); saveForHMMTraining(selectedImage,selectedROI,currentImageNo); } else { printf("Invalid mode."); } currentImageNo++; } } } cvReleaseCapture( &capture ); //cvDestroyWindow("HMM-Harr Positive Image Creator"); cvDestroyAllWindows(); return 0; } #ifdef _EiC main(1,"lkdemo.c"); #endif If I put... #include "stdafx.h" int _tmain(int argc, _TCHAR* argv[]) { return 0; } ... before the previous code (and link it to the correct OpenCV .lib files) it compiles without errors, but does nothing at the command line. How do I make it work?

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