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• get eigenvalue pca with java

  - by Muhamad Burhanudin

  I try use PCA to reduce dimention, and i use jama for help me using matrix. but, i got problem when get eigenvalue with jama. for example i hava 2 image dimention 100x100, then i create single matrix 2 image x (100x100). there is 20.000 pixel. and how to get reduction with eigenvalue? this is sample my code : public static void main(String[] args) { BufferedImage bi; int[] rgb; int R, G, B; // int[] jum; double[][] gray = new double[500][500] ; String[] baris = new String[1000]; try { //bi = ImageIO.read(new File("D:\\c.jpg")); int[][] pixelData = new int[bi.getHeight() * bi.getWidth()][3]; int counter = 0; for (int i = 0; i < bi.getHeight(); i++) { for (int j = 0; j < bi.getWidth(); j++) { gray[i][j] = getPixelData(bi, i, j); // R = getR(bi, i, j); //G = getG(bi, i, j); //B = getB(bi, i, j); //jum = R + G + B; // gray[counter] = Double.toString(R + G + B / 3); // System.out.println("Gray " +gray); //for (int k = 0; k < rgb.length; k++) { // pixelData[counter][k] = rgb[k]; // } counter++; } } } catch (IOException e) { e.printStackTrace(); } Matrix matrix = new Matrix(gray); PCA pca = new PCA(matrix); pca.getEigenvalue(6); String n = pca.toString(); System.err.println("nilai n "+n); //double dete = pcadete(matrix,3600); } private static int getPixelData(BufferedImage bi, int x, int y) { int argb = bi.getRGB(y, x); int r, g, b; int gray; int rgb[] = new int[]{ (argb >> 16) & 0xff, //red (argb >> 8) & 0xff, //green (argb) & 0xff //blue }; r = rgb[0]; g = rgb[1]; b = rgb[2]; gray = (r + g + b) / 3; System.out.println("gray: " + gray); return gray; } when i show eigenvalue in this code : PCA pca = new PCA(matrix); pca.getEigenvalue(6); String n = pca.toString(); System.err.println("nilai n "+n); Result is : nilai n PCA@c3e9e9 Can, u tell me what way to get eigenvalue and reduction dimension.

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• Incremental PCA

  - by smichak

  Hi, Lately, I've been looking into an implementation of an incremental PCA algorithm in python - I couldn't find something that would meet my needs so I did some reading and implemented an algorithm I found in some paper. Here is the module's code - the relevant paper on which it is based is mentioned in the module's documentation. I would appreciate any feedback from people who are interested in this. Micha #!/usr/bin/env python """ Incremental PCA calculation module. Based on P.Hall, D. Marshall and R. Martin "Incremental Eigenalysis for Classification" which appeared in British Machine Vision Conference, volume 1, pages 286-295, September 1998. Principal components are updated sequentially as new observations are introduced. Each new observation (x) is projected on the eigenspace spanned by the current principal components (U) and the residual vector (r = x - U(U.T*x)) is used as a new principal component (U' = [U r]). The new principal components are then rotated by a rotation matrix (R) whose columns are the eigenvectors of the transformed covariance matrix (D=U'.T*C*U) to yield p + 1 principal components. From those, only the first p are selected. """ __author__ = "Micha Kalfon" import numpy as np _ZERO_THRESHOLD = 1e-9 # Everything below this is zero class IPCA(object): """Incremental PCA calculation object. General Parameters: m - Number of variables per observation n - Number of observations p - Dimension to which the data should be reduced """ def __init__(self, m, p): """Creates an incremental PCA object for m-dimensional observations in order to reduce them to a p-dimensional subspace. @param m: Number of variables per observation. @param p: Number of principle components. @return: An IPCA object. """ self._m = float(m) self._n = 0.0 self._p = float(p) self._mean = np.matrix(np.zeros((m , 1), dtype=np.float64)) self._covariance = np.matrix(np.zeros((m, m), dtype=np.float64)) self._eigenvectors = np.matrix(np.zeros((m, p), dtype=np.float64)) self._eigenvalues = np.matrix(np.zeros((1, p), dtype=np.float64)) def update(self, x): """Updates with a new observation vector x. @param x: Next observation as a column vector (m x 1). """ m = self._m n = self._n p = self._p mean = self._mean C = self._covariance U = self._eigenvectors E = self._eigenvalues if type(x) is not np.matrix or x.shape != (m, 1): raise TypeError('Input is not a matrix (%d, 1)' % int(m)) # Update covariance matrix and mean vector and centralize input around # new mean oldmean = mean mean = (n*mean + x) / (n + 1.0) C = (n*C + x*x.T + n*oldmean*oldmean.T - (n+1)*mean*mean.T) / (n + 1.0) x -= mean # Project new input on current p-dimensional subspace and calculate # the normalized residual vector g = U.T*x r = x - (U*g) r = (r / np.linalg.norm(r)) if not _is_zero(r) else np.zeros_like(r) # Extend the transformation matrix with the residual vector and find # the rotation matrix by solving the eigenproblem DR=RE U = np.concatenate((U, r), 1) D = U.T*C*U (E, R) = np.linalg.eigh(D) # Sort eigenvalues and eigenvectors from largest to smallest to get the # rotation matrix R sorter = list(reversed(E.argsort(0))) E = E[sorter] R = R[:,sorter] # Apply the rotation matrix U = U*R # Select only p largest eigenvectors and values and update state self._n += 1.0 self._mean = mean self._covariance = C self._eigenvectors = U[:, 0:p] self._eigenvalues = E[0:p] @property def components(self): """Returns a matrix with the current principal components as columns. """ return self._eigenvectors @property def variances(self): """Returns a list with the appropriate variance along each principal component. """ return self._eigenvalues def _is_zero(x): """Return a boolean indicating whether the given vector is a zero vector up to a threshold. """ return np.fabs(x).min() < _ZERO_THRESHOLD if __name__ == '__main__': import sys def pca_svd(X): X = X - X.mean(0).repeat(X.shape[0], 0) [_, _, V] = np.linalg.svd(X) return V N = 1000 obs = np.matrix([np.random.normal(size=10) for _ in xrange(N)]) V = pca_svd(obs) print V[0:2] pca = IPCA(obs.shape[1], 2) for i in xrange(obs.shape[0]): x = obs[i,:].transpose() pca.update(x) U = pca.components print U

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• Looking for PCA snippet/source code in C++

  - by jihchuan

  Hi, I'm currently developing a software to compare 2 images. I start with extract the image's RGB values, form a matrix of array and then attempt to compress the values using PCA, and then match/recognize it with a pre-set data to find its similarity. But I can't proceed with the PCA part. (I'm using C++, C also can) If there any library/source code/snippet for it please let me know, or if there're any recommendation on my case also very welcomed!! I'd appreciate your helps!! Thanks! JC, [email protected]

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• PCA extended face recognition

  - by cMinor

  The state of the art says that we can use PCA to perform face recognition. like this, this or this I am working with a project that involves training a classifier to detect a person who is wearing glasess or hats or even a mustache. The purpose of doing this is to detect when a person that has robbed a bank, store, or have commeted some sort of crime(s) (we have their image in a database), enters a certain place ( historically we know these guys have robbed, so we should take care to avoid problems). We came first to have a distributed database with all images of criminals, then I thought to have a layer of them clasifying these criminals using accesories like hats, mustache or anything that hides their face etc... Then, to apply that knowledge to detect when a particular or a suspect person enters a comercial place. ( In practice when someone is going to rob not all the times they are using an accesorie...) What do you think about this idea of doing PCA to first detect principal components of the face and then the components of an accesory. I was thinking that maybe a probabilistic approach is better so we can compute the probability the criminal is the person that entered a place and call the respective authorities.

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• how to show all the sample principal component plots in R ?

  - by phpdash

  I noticed something in R , say pc is the result of applying PCA to a data matrix and pc$x is my sample principal component matrix . when try plot(pc$x) , it will only plot the first principal component (pc1) against the second (pc2) , but I actually have more than 2 principal components. how do I show all of them ?

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• SVM Visualization in MATLAB

  - by djpark121

  How do I visualize the SVM classification once I perform SVM training in Matlab?

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• Microsoft signed driver appears as publisher not verfied

  - by Priyanka Gupta

  Task at hand: Microsoft sign drivers on Win 7. I microsoft signed my driver package 3 times every time thinking I might have missed a step or something. However, I cannot seem to get rid of the Windows Security error message "Windows can't verify the publisher of this driver software'. This is not the first time I have signed the driver packages. I was successfully able to sign other driver packages a few months ago. However, with this driver package I keep getting Windows security dialog box. Here's the procedure I follow - Create a new cat file using INF2CAT tool. Self sign the driver using a Versign Class 3 Public Primary Certification Authority - G5.cer. Run the microsoft tests on DTM Servers and clients with the devices that use this driver. Create WLK submission package. Self sign the cab file. Submit the package for certification. The catalog file that comes back after successfully passing tests says Name of signer "Microsoft Windows Hardware Comptibility Publisher". When I check the validity of signature using SignTool, it says the signature is vaild. However, when I try to install the driver with new signed catalog file the windows complain. Any ideas? Edit 11/12/2012: Reply to Eugene's comment Thanks for the help, Eugene. Yes. I did sign two other driver packages before. One of them was modified version of WinUSB driver. I am using the same certificate I used when I signed those two driver packages a few months ago. It costs $250 per signing from Microsoft. I would think that Microsoft would complain about it during certification if the certificate is wrong. I use the following command to self sign the CAT file. I don't have to specify the ceritificate name as there's only one certificate in the directory - Signtool sign /v /a /n CompanyName /t http://timestamp.verisign.com/scripts/timestamp.dll OurCatalogFile.cat Below is the result from running Verify command on the Microsoft signed OurCatalogFile.cat C:\Program Files\Microsoft SDKs\Windows\v7.1\Bin\x64signtool verify /v "C:\User s\logotest\Documents\serialdriversigning\OurCatalogFile.cat" Verifying: C:\Users\logotest\Documents\serialdriversigning\OurCatalogFile.cat" Hash of file (sha1): BDDF39B1DD95881B462164129758A7FFD54F47D9 Signing Certificate Chain: Issued to: Microsoft Root Certificate Authority Issued by: Microsoft Root Certificate Authority Expires: Sun May 09 18:28:13 2021 SHA1 hash: CDD4EEAE6000AC7F40C3802C171E30148030C072 Issued to: Microsoft Windows Hardware Compatibility PCA Issued by: Microsoft Root Certificate Authority Expires: Thu Jun 04 16:15:46 2020 SHA1 hash: 8D42419D8B21E5CF9C3204D0060B19312B96EB78 Issued to: Microsoft Windows Hardware Compatibility Publisher Issued by: Microsoft Windows Hardware Compatibility PCA Expires: Wed Sep 18 18:20:55 2013 SHA1 hash: D94345C032D23404231DD3902F22AB1C2100341E The signature is timestamped: Tue Nov 06 11:26:48 2012 Timestamp Verified by: Issued to: Microsoft Root Authority Issued by: Microsoft Root Authority Expires: Thu Dec 31 02:00:00 2020 SHA1 hash: A43489159A520F0D93D032CCAF37E7FE20A8B419 Issued to: Microsoft Timestamping PCA Issued by: Microsoft Root Authority Expires: Sun Sep 15 02:00:00 2019 SHA1 hash: 3EA99A60058275E0ED83B892A909449F8C33B245 Issued to: Microsoft Time-Stamp Service Issued by: Microsoft Timestamping PCA Expires: Tue Apr 09 16:53:56 2013 SHA1 hash: 1895C2C907E0D7E5C0292B92C6EA8D0E236F525E Successfully verified: C:\Users\logotest\Documents\serialdriversigning\OurCatalogFile.cat" Number of files successfully Verified: 1 Number of warnings: 0 Number of errors: 0 Thank you!

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• Microsoft signed drivers appears as publisher not verfied

  - by Priyanka Gupta

  Task at hand: Microsoft sign drivers on Win 7. I microsoft signed my driver package 3 times every time thinking I might have missed a step or something. However, I cannot seem to get rid of the Windows Security error message "Windows can't verify the publisher of this driver software'. This is not the first time I have signed the driver packages. I was successfully able to sign other driver packages a few months ago. However, with this driver package I keep getting Windows security dialog box. Here's the procedure I follow - Create a new cat file using INF2CAT tool. Self sign the driver using a Versign Class 3 Public Primary Certification Authority - G5.cer. Run the microsoft tests on DTM Servers and clients with the devices that use this driver. Create WLK submission package. Self sign the cab file. Submit the package for certification. The catalog file that comes back after successfully passing tests says Name of signer "Microsoft Windows Hardware Comptibility Publisher". When I check the validity of signature using SignTool, it says the signature is vaild. However, when I try to install the driver with new signed catalog file the windows complain. Any ideas? Edit 11/12/2012: Reply to Eugene's comment Thanks for the help, Eugene. Yes. I did sign two other driver packages before. One of them was modified version of WinUSB driver. I am using the same certificate I used when I signed those two driver packages a few months ago. It costs $250 per signing from Microsoft. I would think that Microsoft would complain about it during certification if the certificate is wrong. I use the following command to self sign the CAT file. I don't have to specify the ceritificate name as there's only one certificate in the directory - Signtool sign /v /a /n CompanyName /t http://timestamp.verisign.com/scripts/timestamp.dll OurCatalogFile.cat Below is the result from running Verify command on the Microsoft signed OutCatalogFile.cat C:\Program Files\Microsoft SDKs\Windows\v7.1\Bin\x64signtool verify /v "C:\User s\logotest\Documents\serialdriversigning\OurCatalogFile.cat" Verifying: C:\Users\logotest\Documents\serialdriversigning\OurCatalogFile.cat" Hash of file (sha1): BDDF39B1DD95881B462164129758A7FFD54F47D9 Signing Certificate Chain: Issued to: Microsoft Root Certificate Authority Issued by: Microsoft Root Certificate Authority Expires: Sun May 09 18:28:13 2021 SHA1 hash: CDD4EEAE6000AC7F40C3802C171E30148030C072 Issued to: Microsoft Windows Hardware Compatibility PCA Issued by: Microsoft Root Certificate Authority Expires: Thu Jun 04 16:15:46 2020 SHA1 hash: 8D42419D8B21E5CF9C3204D0060B19312B96EB78 Issued to: Microsoft Windows Hardware Compatibility Publisher Issued by: Microsoft Windows Hardware Compatibility PCA Expires: Wed Sep 18 18:20:55 2013 SHA1 hash: D94345C032D23404231DD3902F22AB1C2100341E The signature is timestamped: Tue Nov 06 11:26:48 2012 Timestamp Verified by: Issued to: Microsoft Root Authority Issued by: Microsoft Root Authority Expires: Thu Dec 31 02:00:00 2020 SHA1 hash: A43489159A520F0D93D032CCAF37E7FE20A8B419 Issued to: Microsoft Timestamping PCA Issued by: Microsoft Root Authority Expires: Sun Sep 15 02:00:00 2019 SHA1 hash: 3EA99A60058275E0ED83B892A909449F8C33B245 Issued to: Microsoft Time-Stamp Service Issued by: Microsoft Timestamping PCA Expires: Tue Apr 09 16:53:56 2013 SHA1 hash: 1895C2C907E0D7E5C0292B92C6EA8D0E236F525E Successfully verified: C:\Users\logotest\Documents\serialdriversigning\OurCatalogFile.cat" Number of files successfully Verified: 1 Number of warnings: 0 Number of errors: 0 Thank you!

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• Issue in understanding how to compare performance of classifier using ROC

  - by user1214586

  I am trying to demystify pattern recognition techniques and understood few of them. I am trying to design a classifier M. A gesture is classified based on the hamming distance between the sample time series y and the training time series x. The result of the classifier are probabilistic values. There are 3 classes/categories with labels A,B,C which classifies hand gestures where there are 100 samples for each class which are to be classified (single feature and data length=100). The data are different time series (x coordinate vs time). The training set is used to assign probabilities indicating which gesture has occured how many times. So,out of 10 training samples if gesture A appeared 6 times then probability that a gesture falls under category A is P(A)=0.6 similarly P(B)=0.3 and P(C)=0.1 Now, I am trying to compare the performance of this classifier with Bayes classifier, K-NN, Principal component analysis (PCA) and Neural Network. On what basis,parameter and method should I do it if I consider ROC or cross validate since the features for my classifier are the probabilistic values for the ROC plot hence what shall be the features for k-nn,bayes classification and PCA? Is there a code for it which will be useful. What should be the value of k is there are 3 classes of gestures? Please help. I am in a fix.

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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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• Certificates required for WHQL-certified drivers

  - by Kasius

  The 64-bit Windows 7 image that we deploy to machines at our site does not contain all of the certificates included on a default Windows image. Automatic root certificate installation is also disabled per policy from higher in the organization. We have had a lot of trouble installing many WHQL-certified drivers from reputable companies (ex. HP, Lexmark, Dell, etc.), and I hypothesize that a required certificate is missing from one of the certificate stores on the machine. The error we typically get is: The driver cannot be installed because it is either not digitally signed or not signed in the appropriate manner. I know that it is signed. A .CAT file is included, and it has the following tree from top to bottom: Microsoft Root Authority (thumbprint a4 34 89 15 9a 52 0f 0d 93 d0 32 cc af 37 e7 fe 20 a8 b4 19) Microsoft Windows Hardware Compatibility PCA (thumbprint 93 b8 d8 82 0a 32 db 20 a5 ea b6 8d 86 ad 67 8e fa 14 ea 41) Microsoft Windows Hardware Compatibility Publisher (thumprint b0 50 45 45 42 4e be 2c 16 2f 62 5b bf 5a e6 9b 96 bf 0b 0b) What certificates are required to install WHQL-certified drivers? Is it possibly something other than certificates? Thanks! NOTE: I have posted this question on Technet as well, but honestly, I've never had a lot of luck posting questions on the Technet forums.

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• NET Math Libraries

  - by JoshReuben

  NET Mathematical Libraries   .NET Builder for Matlab The MathWorks Inc. - http://www.mathworks.com/products/netbuilder/ MATLAB Builder NE generates MATLAB based .NET and COM components royalty-free deployment creates the components by encrypting MATLAB functions and generating either a .NET or COM wrapper around them. .NET/Link for Mathematica www.wolfram.com a product that 2-way integrates Mathematica and Microsoft's .NET platform call .NET from Mathematica - use arbitrary .NET types directly from the Mathematica language. use and control the Mathematica kernel from a .NET program. turns Mathematica into a scripting shell to leverage the computational services of Mathematica. write custom front ends for Mathematica or use Mathematica as a computational engine for another program comes with full source code. Leverages MathLink - a Wolfram Research's protocol for sending data and commands back and forth between Mathematica and other programs. .NET/Link abstracts the low-level details of the MathLink C API. Extreme Optimization http://www.extremeoptimization.com/ a collection of general-purpose mathematical and statistical classes built for the.NET framework. It combines a math library, a vector and matrix library, and a statistics library in one package. download the trial of version 4.0 to try it out. Multi-core ready - Full support for Task Parallel Library features including cancellation. Broad base of algorithms covering a wide range of numerical techniques, including: linear algebra (BLAS and LAPACK routines), numerical analysis (integration and differentiation), equation solvers. Mathematics leverages parallelism using .NET 4.0's Task Parallel Library. Basic math: Complex numbers, 'special functions' like Gamma and Bessel functions, numerical differentiation. Solving equations: Solve equations in one variable, or solve systems of linear or nonlinear equations. Curve fitting: Linear and nonlinear curve fitting, cubic splines, polynomials, orthogonal polynomials. Optimization: find the minimum or maximum of a function in one or more variables, linear programming and mixed integer programming. Numerical integration: Compute integrals over finite or infinite intervals, over 2D and higher dimensional regions. Integrate systems of ordinary differential equations (ODE's). Fast Fourier Transforms: 1D and 2D FFT's using managed or fast native code (32 and 64 bit) BigInteger, BigRational, and BigFloat: Perform operations with arbitrary precision. Vector and Matrix Library Real and complex vectors and matrices. Single and double precision for elements. Structured matrix types: including triangular, symmetrical and band matrices. Sparse matrices. Matrix factorizations: LU decomposition, QR decomposition, singular value decomposition, Cholesky decomposition, eigenvalue decomposition. Portability and performance: Calculations can be done in 100% managed code, or in hand-optimized processor-specific native code (32 and 64 bit). Statistics Data manipulation: Sort and filter data, process missing values, remove outliers, etc. Supports .NET data binding. Statistical Models: Simple, multiple, nonlinear, logistic, Poisson regression. Generalized Linear Models. One and two-way ANOVA. Hypothesis Tests: 12 14 hypothesis tests, including the z-test, t-test, F-test, runs test, and more advanced tests, such as the Anderson-Darling test for normality, one and two-sample Kolmogorov-Smirnov test, and Levene's test for homogeneity of variances. Multivariate Statistics: K-means cluster analysis, hierarchical cluster analysis, principal component analysis (PCA), multivariate probability distributions. Statistical Distributions: 25 29 continuous and discrete statistical distributions, including uniform, Poisson, normal, lognormal, Weibull and Gumbel (extreme value) distributions. Random numbers: Random variates from any distribution, 4 high-quality random number generators, low discrepancy sequences, shufflers. New in version 4.0 (November, 2010) Support for .NET Framework Version 4.0 and Visual Studio 2010 TPL Parallellized – multicore ready sparse linear program solver - can solve problems with more than 1 million variables. Mixed integer linear programming using a branch and bound algorithm. special functions: hypergeometric, Riemann zeta, elliptic integrals, Frensel functions, Dawson's integral. Full set of window functions for FFT's. Product  Price Update subscription Single Developer License $999  $399  Team License (3 developers) $1999  $799  Department License (8 developers) $3999  $1599  Site License (Unlimited developers in one physical location) $7999  $3199    NMath http://www.centerspace.net .NET math and statistics libraries matrix and vector classes random number generators Fast Fourier Transforms (FFTs) numerical integration linear programming linear regression curve and surface fitting optimization hypothesis tests analysis of variance (ANOVA) probability distributions principal component analysis cluster analysis built on the Intel Math Kernel Library (MKL), which contains highly-optimized, extensively-threaded versions of BLAS (Basic Linear Algebra Subroutines) and LAPACK (Linear Algebra PACKage). Product  Price Update subscription Single Developer License $1295 $388 Team License (5 developers) $5180 $1554   DotNumerics http://www.dotnumerics.com/NumericalLibraries/Default.aspx free DotNumerics is a website dedicated to numerical computing for .NET that includes a C# Numerical Library for .NET containing algorithms for Linear Algebra, Differential Equations and Optimization problems. The Linear Algebra library includes CSLapack, CSBlas and CSEispack, ports from Fortran to C# of LAPACK, BLAS and EISPACK, respectively. Linear Algebra (CSLapack, CSBlas and CSEispack). Systems of linear equations, eigenvalue problems, least-squares solutions of linear systems and singular value problems. Differential Equations. Initial-value problem for nonstiff and stiff ordinary differential equations ODEs (explicit Runge-Kutta, implicit Runge-Kutta, Gear's BDF and Adams-Moulton). Optimization. Unconstrained and bounded constrained optimization of multivariate functions (L-BFGS-B, Truncated Newton and Simplex methods).   Math.NET Numerics http://numerics.mathdotnet.com/ free an open source numerical library - includes special functions, linear algebra, probability models, random numbers, interpolation, integral transforms. A merger of dnAnalytics with Math.NET Iridium in addition to a purely managed implementation will also support native hardware optimization. constants & special functions complex type support real and complex, dense and sparse linear algebra (with LU, QR, eigenvalues, ... decompositions) non-uniform probability distributions, multivariate distributions, sample generation alternative uniform random number generators descriptive statistics, including order statistics various interpolation methods, including barycentric approaches and splines numerical function integration (quadrature) routines integral transforms, like fourier transform (FFT) with arbitrary lengths support, and hartley spectral-space aware sequence manipulation (signal processing) combinatorics, polynomials, quaternions, basic number theory. parallelized where appropriate, to leverage multi-core and multi-processor systems fully managed or (if available) using native libraries (Intel MKL, ACMS, CUDA, FFTW) provides a native facade for F# developers

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• How do I prevent programmatically the "Program Compatibility Assistant" in Vista (and Windows 7) fro

  - by Asaf

  I develop a C++ program which might use adobe flash, although it is not essential. I use CoCreateInstance to create the flash object, and if it fails, I know flash is not installed so I don't use it. However, in Vista (and I think Windows 7 as well), when flash is not installed, after leaving the application, the "Program Compatibility Assistant" pops up a message saying that "This program requires a missing Windows component" specifying the flash.ocx. Is there a way to prevent this message from appearing? I don't want to force any user to install flash (especially since it's the IE ActiveX, and FireFox users might not have it installed), and my application can operate well without the flash. Plus this message is really annoying when it appears after every run. I don't mean of course disabling the PCA on the user's machine, but programmatically disable this specific appearance on all machines. Any thoughts? Thanks [EDIT:] I followed Shay's lead (thanks), and did some more digging of my own. I added the following XML to the application's manifest: <trustInfo xmlns="urn:schemas-microsoft-com:asm.v2"> <security> <requestedPrivileges> <requestedExecutionLevel level="asInvoker" uiAccess="false"> </requestedExecutionLevel> </requestedPrivileges> </security> </trustInfo> (see also: msdn.microsoft.com/en-us/library/bb756929.aspx) This solved the problem on Vista 64. To solve the same problem on Windows 7, I added the following: <compatibility xmlns="urn:schemas-microsoft-com:compatibility.v1"> <application> <!--The ID below indicates application support for Windows Vista --> <supportedOS Id="{e2011457-1546-43c5-a5fe-008deee3d3f0}"/> <!--The ID below indicates application support for Windows 7 --> <supportedOS Id="{35138b9a-5d96-4fbd-8e2d-a2440225f93a}"/> </application> </compatibility> (See also: blogs.msdn.com/yvesdolc/archive/2009/09/22/the-new-compatibility-section-in-the-application-manifest.aspx) Solved Windows 7. But for some reason, it still happens in Vista 32... I also tried editing the manifest of the specific DLL which causes the problem, but it had no effect. Only the executable's manifest itself affected the problem. So... Vista 32?

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• Resize an array of images with OpenCV

  - by amr

  I'm passing an array of images (IplImage**) to an object in C++ using OpenCV. I'm then trying to iterate over that array and resize them all to a fixed size (150x150) I'm doing it this way: for(int i = 0; i< this->numTrainingFaces; i++) { IplImage* frame_copy = cvCreateImage( cvSize(150,150), this->faceImageArray[0]->depth, this->faceImageArray[0]->nChannels ); cout << "Created image" << endl; cvResize(this->faceImageArray[i], frame_copy); cout << "Resized image" << endl; IplImage* grey_image = cvCreateImage( cvSize( frame_copy->width, frame_copy->height ), IPL_DEPTH_8U, 1 ); cout << "Created grey image" << endl; cvCvtColor( frame_copy, grey_image, CV_RGB2GRAY ); cout << "Converted image" << endl; this->faceImageArray[i] = grey_image; cvReleaseImage(&frame_copy); cvReleaseImage(&grey_image); } But I'm getting this output, and I'm not sure why: Created image Resized image Created grey image Converted image Created image OpenCV Error: Assertion failed (src.type() == dst.type()) in cvResize, file /build/buildd/opencv-2.1.0/src/cv/cvimgwarp.cpp, line 3102 terminate called after throwing an instance of 'cv::Exception' what(): /build/buildd/opencv-2.1.0/src/cv/cvimgwarp.cpp:3102: error: (-215) src.type() == dst.type() in function cvResize Aborted I'm basically just trying to replace the image in the array with the resized one in as few steps as possible. Edit: Revised my code as follows: for(int i = 0; i< this->numTrainingFaces; i++) { IplImage* frame_copy = cvCreateImage( cvSize(150,150), this->faceImageArray[i]->depth, this->faceImageArray[i]->nChannels ); cvResize(this->faceImageArray[i], frame_copy); IplImage* grey_image = cvCreateImage( cvSize( frame_copy->width, frame_copy->height ), IPL_DEPTH_8U, 1 ); cvCvtColor( frame_copy, grey_image, CV_RGB2GRAY ); faceImageArray[i] = cvCreateImage( cvSize(grey_image->width, grey_image->height), grey_image->depth, grey_image->nChannels); cvCopy(grey_image,faceImageArray[i]); cvReleaseImage(&frame_copy); cvReleaseImage(&grey_image); } Then later on I'm performing some PCA, and get this output: OpenCV Error: Null pointer (Null pointer to the written object) in cvWrite, file /build/buildd/opencv-2.1.0/src/cxcore/cxpersistence.cpp, line 4740 But I don't think my code has got to the point where I'm explicitly calling cvWrite, so it must be part of the library. I can give a full implementation if necessary - is there anything in my code that's going to create a null pointer?

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• First record does not show in pagination script

  - by whitstone86

  This is my pagination script which extracts info for my TV guide project that I am working on. Currently I've been experimenting with different PHP/MySQL before it becomes a production site. This is my current script: <?php /*********************************** * PhpMyCoder Paginator * * Created By PhpMyCoder * * 2010 PhpMyCoder * * ------------------------------- * * You may use this code as long * * as this notice stays intact and * * the proper credit is given to * * the author. * ***********************************/ // set the default timezone to use. Available since PHP 5.1 putenv("TZ=US/Eastern") ?> <head> <title> Pagination Test - Created By PhpMyCoder</title> <style type="text/css"> #nav { font: normal 13px/14px Arial, Helvetica, sans-serif; margin: 2px 0; } #nav a { background: #EEE; border: 1px solid #DDD; color: #000080; padding: 1px 7px; text-decoration: none; } #nav strong { background: #000080; border: 1px solid #DDD; color: #FFF; font-weight: normal; padding: 1px 7px; } #nav span { background: #FFF; border: 1px solid #DDD; color: #999; padding: 1px 7px; } </style> </head> <?php //Require the file that contains the required classes include("pmcPagination.php"); //PhpMyCoder Paginator $paginator = new pmcPagination(20, "page"); //Connect to the database mysql_connect("localhost","root","PASSWORD"); //Select DB mysql_select_db("mytvguide"); //Select only results for today and future $result = mysql_query("SELECT programme, channel, airdate, expiration, episode, setreminder FROM lagunabeach where expiration >= now() order by airdate, 3 ASC LIMIT 0, 100;"); //You can also add reuslts to paginate here mysql_data_seek($queryresult,0) ; while($row = mysql_fetch_array($result)) { $paginator->add(new paginationData($row['programme'], $row['channel'], $row['airdate'], $row['expiration'], $row['episode'], $row['setreminder'])); } ?> <?php //Show the paginated results $paginator->paginate (); ?><? include("pca-footer1.php"); ?> <?php //Show the navigation $paginator->navigation(); ?> Despite me having two records for the programmes airing today, it only shows records from the second one onwards - the programme that airs at 8:35pm UK time GMT does not show, but the later 11:25pm UK time GMT one does show. How should I fix this? Above is my code if that is of any use! Thanks

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• Foreign keys and pagination

  - by whitstone86

  This is my pagination script: <?php /*********************************** * PhpMyCoder Paginator * * Created By PhpMyCoder * * 2010 PhpMyCoder * * ------------------------------- * * You may use this code as long * * as this notice stays intact and * * the proper credit is given to * * the author. * ***********************************/ ?> <head> <title> Pagination Test - Created By PhpMyCoder</title> <style type="text/css"> #nav { font: normal 13px/14px Arial, Helvetica, sans-serif; margin: 2px 0; } #nav a { background: #EEE; border: 1px solid #DDD; color: #000080; padding: 1px 7px; text-decoration: none; } #nav strong { background: #000080; border: 1px solid #DDD; color: #FFF; font-weight: normal; padding: 1px 7px; } #nav span { background: #FFF; border: 1px solid #DDD; color: #999; padding: 1px 7px; } </style> </head> <?php //Require the file that contains the required classes include("pmcPagination.php"); //PhpMyCoder Paginator $paginator = new pmcPagination(20, "page"); //Connect to the database mysql_connect("localhost","root","PASSWORD"); //Select DB mysql_select_db("tvguide"); //Select only results for today and future $result = mysql_query("SELECT programme, channel, airdate, expiration, episode, setreminder FROM epdata1 where airdate >= now() order by expiration GROUP BY airdate"); //You can also add reuslts to paginate here mysql_data_seek($queryresult,0) ; while($row = mysql_fetch_array($result)) { $paginator->add(new paginationData($row['programme'], $row['channel'], $row['airdate'], $row['expiration'], $row['episode'], $row['setreminder'])); } ?> <?php //Show the paginated results $paginator->paginate (); ?><? include("pca-footer1.php"); ?> <?php //Show the navigation $paginator->navigation(); ?> However, I have two tables in this, and they are epdata1 (where the airtimes for my show House M.D. are) and housemdep plus the setreminder table. How can I use foreign keys in relation to this? I'm not sure if this will work for my script, but am willing to try. What I would like to do is to select certain episodes from the table housemdep (episodes of the show) and if any are selected it shows them as this: House M.D. showing on Channel 1 June 6th - 8:00pm "Wilson" Set Reminder House M.D. showing on Channel 1 June 7th - 1:30am "Wilson" Set Reminder House M.D. showing on Channel 1 June 7th - 12:55pm "House's Head" Set Reminder or like this, if I have not selected an episode from the row: House M.D. showing on Channel 1 June 7th - 8:00pm "House's Head" Set Reminder House M.D. showing on Channel 1 June 8th - 9:00pm Set Reminder House M.D. showing on Channel 1 June 9th - 2:30pm Set Reminder House M.D. showing on Channel 1 June 7th - 8:00pm "Que Sera Sera" Set Reminder Foreign keys and relationship of interlinked tables are new to me, if anyone could help I'd appreciate this. I've tried some of what Google suggested on foreign keys in another version of this script (this is a clone of the original on my localhost server running Apache and PHP 5.28/MySQL), but am not sure how to implement this. Thanks.

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