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• "apt-get -f install" fails with "/usr/bin/dpkg returned an error code (1)"

  - by parsley72

  I started out trying to install CVS: $ sudo apt-get install cvs Reading package lists... Done Building dependency tree Reading state information... Done You might want to run 'apt-get -f install' to correct these: The following packages have unmet dependencies: libcups2 : Breaks: libcups2:i386 (!= 1.5.3-0ubuntu3) but 1.5.3-0ubuntu4 is to be installed libcups2:i386 : Breaks: libcups2 (!= 1.5.3-0ubuntu4) but 1.5.3-0ubuntu3 is to be installed E: Unmet dependencies. Try 'apt-get -f install' with no packages (or specify a solution). But when I try this I get: $ sudo apt-get -f install Reading package lists... Done Building dependency tree Reading state information... Done Correcting dependencies... Done The following package was automatically installed and is no longer required: tzdata-java Use 'apt-get autoremove' to remove them. The following extra packages will be installed: libcups2 The following packages will be upgraded: libcups2 1 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 14 not fully installed or removed. Need to get 0 B/172 kB of archives. After this operation, 0 B of additional disk space will be used. Do you want to continue [Y/n]? y dpkg: error processing libcups2 (--configure): libcups2:amd64 1.5.3-0ubuntu3 cannot be configured because libcups2:i386 is in a different version (1.5.3-0ubuntu4) dpkg: error processing libcups2:i386 (--configure): libcups2:i386 1.5.3-0ubuntu4 cannot be configured because libcups2:amd64 is in a different version (1.5.3-0ubuntu3) dpkg: dependency problems prevent configuration of libcupsmime1: libcupsmime1 depends on libcups2 (>= 1.5~); however: Package libcups2 is not configured yet. dpkg: error processing libcupsmime1 (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libcupscgi1: libcupscgi1 depends on libcups2 (>= 1.4.0); however: Package libcups2 is not configured yet. dpkg: error processing libcupscgi1 (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libcupsppdc1: libcupsppdc1 depends on libcups2 (>= 1.4.0); however: Package libcups2 is not configured yet. dpkg: error processing libcupsppdc1 (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of cups-client: cups-client depends on libcups2 (>= 1.5.0); however: Package libcups2 is not configured yet. dpkg: error processing cups-client (--configure): dependency problems - leaviNo apport report written because the error message indicates its a followup error from a previous failure. No apport report written because the error message indicates its a followup error from a previous failure. No apport report written because MaxReports is reached already No apport report written because MaxReports is reached already No apport report written because MaxReports is reached already No apport report written because MaxReports is reached already No apport report written because MaxReports is reached already No apport report written because MaxReports is reached already No apport report written because MaxReports is reached already No apport report written because MaxReports is reached already No apport report written because MaxReports is reached already No apport report written because MaxReports is reached already ng unconfigured dpkg: dependency problems prevent configuration of cups-ppdc: cups-ppdc depends on libcups2 (>= 1.4.0); however: Package libcups2 is not configured yet. cups-ppdc depends on libcupsppdc1 (>= 1.4.0); however: Package libcupsppdc1 is not configured yet. dpkg: error processing cups-ppdc (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of cups: cups depends on libcups2 (>= 1.5.0); however: Package libcups2 is not configured yet. cups depends on libcupscgi1 (>= 1.4.2); however: Package libcupscgi1 is not configured yet. cups depends on libcupsmime1 (>= 1.5.0); however: Package libcupsmime1 is not configured yet. cups depends on libcupsppdc1 (>= 1.4.0); however: Package libcupsppdc1 is not configured yet. cups depends on cups-client (>= 1.5.3-0ubuntu4); however: Package cups-client is not configured yet. cups depends on cups-ppdc; however: Package cups-ppdc is not configured yet. dpkg: error processing cups (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libcupsdriver1: libcupsdriver1 depends on libcups2 (>= 1.4.0); however: Package libcups2 is not configured yet. dpkg: error processing libcupsdriver1 (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of openjdk-7-jre-headless: openjdk-7-jre-headless depends on libcups2 (>= 1.4.0); however: Package libcups2 is not configured yet. dpkg: error processing openjdk-7-jre-headless (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of openjdk-7-jre: openjdk-7-jre depends on openjdk-7-jre-headless (= 7u7-2.3.2-1ubuntu0.12.04.1); however: Package openjdk-7-jre-headless is not configured yet. openjdk-7-jre depends on libcups2 (>= 1.4.0); however: Package libcups2 is not configured yet. dpkg: error processing openjdk-7-jre (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of cups-bsd: cups-bsd depends on libcups2 (>= 1.4.0); however: Package libcups2 is not configured yet. cups-bsd depends on cups-client (= 1.5.3-0ubuntu4); however: Package cups-client is not configured yet. dpkg: error processing cups-bsd (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of icedtea-7-jre-jamvm: icedtea-7-jre-jamvm depends on openjdk-7-jre-headless (= 7u7-2.3.2-1ubuntu0.12.04.1); however: Package openjdk-7-jre-headless is not configured yet. dpkg: error processing icedtea-7-jre-jamvm (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of openjdk-7-jre-lib: openjdk-7-jre-lib depends on openjdk-7-jre-headless (>= 7~b130~pre0); however: Package openjdk-7-jre-headless is not configured yet. dpkg: error processing openjdk-7-jre-lib (--configure): dependency problems - leaving unconfigured Errors were encountered while processing: libcups2 libcups2:i386 libcupsmime1 libcupscgi1 libcupsppdc1 cups-client cups-ppdc cups libcupsdriver1 openjdk-7-jre-headless openjdk-7-jre cups-bsd icedtea-7-jre-jamvm openjdk-7-jre-lib E: Sub-process /usr/bin/dpkg returned an error code (1) I've done "apt-get update" and "apt-get upgrade" and this hasn't fixed the problem: $ sudo apt-get upgrade Reading package lists... Done Building dependency tree Reading state information... Done You might want to run 'apt-get -f install' to correct these. The following packages have unmet dependencies: libcups2 : Breaks: libcups2:i386 (!= 1.5.3-0ubuntu3) but 1.5.3-0ubuntu4 is installed libcups2:i386 : Breaks: libcups2 (!= 1.5.3-0ubuntu4) but 1.5.3-0ubuntu3 is installed E: Unmet dependencies. Try using -f.

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• motion computation from video using pyglet in python

  - by kuaywai

  Hi, I am writing a simple motion detection program but i want it to be cross platform so im using python and the pyglet library since it provides a simple way to load videos in different formats (specially wmv and mpeg). So far i have the code given below which loads the movie and plays it in a window. Now i need to: 1) grab frame at time t and t-1 2) do a subtraction to see which pixels are active for motion detection. any ideas on how to grab frames and to skip over frames and is it possible to put the pixel values into a matrix in numpy or something directly from pyglet? or should look into using something other than pyglet? thanks kuaywai import pyglet import sys window = pyglet.window.Window(resizable=True) window.set_minimum_size(320,200) window.set_caption('Motion detect 1.0') video_intro = pyglet.resource.media('movie1.wmv') player = pyglet.media.Player() player.queue(video_intro) print 'calculating movie size...' if not player.source or not player.source.video_format: sys.exit myWidth = player.source.video_format.width myHeight = player.source.video_format.height if player.source.video_format.sample_aspect 1: myWidth *= player.source.video_format.sample_aspect elif player.source.video_format.sample_aspect < 1: myHeight /= player.source.video_format.sample_aspect print 'its size is %d,%d' % (myWidth,myHeight) player.play() @window.event def on_draw(): window.clear() (w,h) = window.get_size() player.get_texture().blit(0, h-myHeight, width=myWidth, height=myHeight) pyglet.app.run()

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• Warping Images using cvWarpPerspective Results in Some Parts of the images out of the viewable area

  - by Birkan Cilingir

  Hi, I am trying to stich two images together. In order to do so I extracted sift features and find matches on the two images using this C implementation. http://web.engr.oregonstate.edu/~hess/index.html After that I found the homography matrix using the matched points. http://www.ics.forth.gr/~lourakis/homest/ But if I use this Homography Matrix in "cvWarpPerspective" function, some of the parts of the image goes out of the viewable area (negative corrdinates). To solve this I tried to calculate the bounding box first by piping the four corners of the image through Homography matrix. And move the initial image then warp it. But this caused the warping result to change. Is there any way for warping an image and keeping it in the viewable area? I would appreciate any help. Thanks in advance...

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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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• How to use imagemagick.net in .net ? Please for examples

  - by phenevo

  Hi, I'm looking almost hour for examples of using imagemagick.net in c# and I can't find antything. All what I need is resize image (.jpg) to new size image (jpg, too) and would be great if you known how to add watermark. I downloaded imagemagick.net from http://imagemagick.codeplex.com/

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• Using 3D photos in silverlight?

  - by Samvel Siradeghyan

  Hi all. I want use photos captured by 3D cameras in Silverlight 3 or 4. I want use that photos like in maps.google.com. Is it possible to do with silverlight and if yes is there any book, tutorial, video or anything alse, from which I can learn how to use tham. Thanks.

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• Greyscale Image from YUV420p data

  - by fergs

  From what I have read on the internet the Y value is the luminance value and can be used to create a grey scale image. The following link: http://www.bobpowell.net/grayscale.htm, has some C# code on working out the luminance of a bitmap image : { Bitmap bm = new Bitmap(source.Width,source.Height); for(int y=0;y<bm.Height;y++) public Bitmap ConvertToGrayscale(Bitmap source) { for(int x=0;x<bm.Width;x++) { Color c=source.GetPixel(x,y); int luma = (int)(c.R*0.3 + c.G*0.59+ c.B*0.11); bm.SetPixel(x,y,Color.FromArgb(luma,luma,luma)); } } return bm; } I have a method that returns the YUV values and have the Y data in a byte array. I have the current piece of code and it is failing on Marshal.Copy – attempted to read or write protected memory. public Bitmap ConvertToGrayscale2(byte[] yuvData, int width, int height) { Bitmap bmp; IntPtr blue = IntPtr.Zero; int inputOffSet = 0; long[] pixels = new long[width * height]; try { for (int y = 0; y < height; y++) { int outputOffSet = y * width; for (int x = 0; x < width; x++) { int grey = yuvData[inputOffSet + x] & 0xff; unchecked { pixels[outputOffSet + x] = UINT_Constant | (grey * INT_Constant); } } inputOffSet += width; } blue = Marshal.AllocCoTaskMem(pixels.Length); Marshal.Copy(pixels, 0, blue, pixels.Length); // fails here : Attempted to read or write protected memory bmp = new Bitmap(width, height, width, PixelFormat.Format24bppRgb, blue); } catch (Exception) { throw; } finally { if (blue != IntPtr.Zero) { Marshal.FreeHGlobal(blue); blue = IntPtr.Zero; } } return bmp; } Any help would be appreciated?

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• Hough transformation for iris detection in opencv

  - by iva123

  Hi, I wrote the code for iris detection and it works well. Also I can crop the eye location of a face. Now I want to detect the iris of the crop image with applying the Hough transformation(cvHoughCircle). However when I try this procedure, the system is not able to find any circle on the image. Maybe, the reason is, there are noises in the image but I don't think it's the reason. So, how can I detect the iris ? I have the code of binary thresholding maybe I can use it, but I don't know how to do ?? If anyone helps I really appreciated. thx :)

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• LinqToSql - Parallel - DataContext and Parallel

  - by Gregoire

  In .NET 4 and multicore environment, does the linq to sql datacontext object take advantage of the new parallels if we use DataLoadOptions.LoadWith? EDIT I know linq to sql does not parallelize ordinary queries. What I want to know is when we specify DataLoadOption.LoadWith, does it use parallelization to perform the match between each entity and its sub entities? Example: using(MyDataContext context = new MyDataContext()) { DataLaodOptions options =new DataLoadOptions(); options.LoadWith<Product>(p=>p.Category); return this.DataContext.Products.Where(p=>p.SomeCondition); } generates the following sql: Select Id,Name from Categories Select Id,Name, CategoryId from Products where p.SomeCondition when all the products are created, will we have a categories.ToArray(); Parallel.Foreach(products, p => { p.Category == categories.FirstOrDefault(c => c.Id == p.CategoryId); }); or categories.ToArray(); foreach(Product product in products) { product.Category = categories.FirstOrDefault(c => c.Id == product.CategoryId); } ?

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• How to read a barcode from an image

  - by tardate

  I'm seeking a library, technique or advice on how to read an EAN-13 barcode from an image (including ISBN,and ISSN encodings). The image would come from a mobile phone or webcam, so resolution may be quite poor and not well aligned. I'm specifically interested in something that could be used from ruby on rails, but answers for other languages are welcome. Open Source solutions preferred. Leading solutions so far: ZBar (previously known as Zebra - h/t @bgbg, @Natim) and ZXing (h/t @codr)

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• Image Erosion for face detection in C#

  - by Chris Dobinson

  Hi, I'm trying to implement face detection in C#. I currently have a black + white outline of a photo with a face within it (Here). However i'm now trying to remove the noise and then dilate the image in order to improve reliability when i implement the detection. The method I have so far is here: unsafe public Image Process(Image input) { Bitmap bmp = (Bitmap)input; Bitmap bmpSrc = (Bitmap)input; BitmapData bmData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb); int stride = bmData.Stride; int stride2 = bmData.Stride * 2; IntPtr Scan0 = bmData.Scan0; byte* p = (byte*)(void*)Scan0; int nOffset = stride - bmp.Width * 3; int nWidth = bmp.Width - 2; int nHeight = bmp.Height - 2; var w = bmp.Width; var h = bmp.Height; var rp = p; var empty = CompareEmptyColor; byte c, cm; int i = 0; // Erode every pixel for (int y = 0; y < h; y++) { for (int x = 0; x < w; x++, i++) { // Middle pixel cm = p[y * w + x]; if (cm == empty) { continue; } // Row 0 // Left pixel if (x - 2 > 0 && y - 2 > 0) { c = p[(y - 2) * w + (x - 2)]; if (c == empty) { continue; } } // Middle left pixel if (x - 1 > 0 && y - 2 > 0) { c = p[(y - 2) * w + (x - 1)]; if (c == empty) { continue; } } if (y - 2 > 0) { c = p[(y - 2) * w + x]; if (c == empty) { continue; } } if (x + 1 < w && y - 2 > 0) { c = p[(y - 2) * w + (x + 1)]; if (c == empty) { continue; } } if (x + 2 < w && y - 2 > 0) { c = p[(y - 2) * w + (x + 2)]; if (c == empty) { continue; } } // Row 1 // Left pixel if (x - 2 > 0 && y - 1 > 0) { c = p[(y - 1) * w + (x - 2)]; if (c == empty) { continue; } } if (x - 1 > 0 && y - 1 > 0) { c = p[(y - 1) * w + (x - 1)]; if (c == empty) { continue; } } if (y - 1 > 0) { c = p[(y - 1) * w + x]; if (c == empty) { continue; } } if (x + 1 < w && y - 1 > 0) { c = p[(y - 1) * w + (x + 1)]; if (c == empty) { continue; } } if (x + 2 < w && y - 1 > 0) { c = p[(y - 1) * w + (x + 2)]; if (c == empty) { continue; } } // Row 2 if (x - 2 > 0) { c = p[y * w + (x - 2)]; if (c == empty) { continue; } } if (x - 1 > 0) { c = p[y * w + (x - 1)]; if (c == empty) { continue; } } if (x + 1 < w) { c = p[y * w + (x + 1)]; if (c == empty) { continue; } } if (x + 2 < w) { c = p[y * w + (x + 2)]; if (c == empty) { continue; } } // Row 3 if (x - 2 > 0 && y + 1 < h) { c = p[(y + 1) * w + (x - 2)]; if (c == empty) { continue; } } if (x - 1 > 0 && y + 1 < h) { c = p[(y + 1) * w + (x - 1)]; if (c == empty) { continue; } } if (y + 1 < h) { c = p[(y + 1) * w + x]; if (c == empty) { continue; } } if (x + 1 < w && y + 1 < h) { c = p[(y + 1) * w + (x + 1)]; if (c == empty) { continue; } } if (x + 2 < w && y + 1 < h) { c = p[(y + 1) * w + (x + 2)]; if (c == empty) { continue; } } // Row 4 if (x - 2 > 0 && y + 2 < h) { c = p[(y + 2) * w + (x - 2)]; if (c == empty) { continue; } } if (x - 1 > 0 && y + 2 < h) { c = p[(y + 2) * w + (x - 1)]; if (c == empty) { continue; } } if (y + 2 < h) { c = p[(y + 2) * w + x]; if (c == empty) { continue; } } if (x + 1 < w && y + 2 < h) { c = p[(y + 2) * w + (x + 1)]; if (c == empty) { continue; } } if (x + 2 < w && y + 2 < h) { c = p[(y + 2) * w + (x + 2)]; if (c == empty) { continue; } } // If all neighboring pixels are processed // it's clear that the current pixel is not a boundary pixel. rp[i] = cm; } } bmpSrc.UnlockBits(bmData); return bmpSrc; } As I understand it, in order to erode the image (and remove the noise), we need to check each pixel to see if it's surrounding pixels are black, and if so, then it is a border pixel and we need not keep it, which i believe my code does, so it is beyond me why it doesn't work. Any help or pointers would be greatly appreciated Thanks, Chris

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• PHP/GD - Cropping and Resizing Images

  - by Alix Axel

  I've coded a function that crops an image to a given aspect ratio and finally then resizes it and outputs it as JPG: <?php function Image($image, $crop = null, $size = null) { $image = ImageCreateFromString(file_get_contents($image)); if (is_resource($image) === true) { $x = 0; $y = 0; $width = imagesx($image); $height = imagesy($image); /* CROP (Aspect Ratio) Section */ if (is_null($crop) === true) { $crop = array($width, $height); } else { $crop = array_filter(explode(':', $crop)); if (empty($crop) === true) { $crop = array($width, $height); } else { if ((empty($crop[0]) === true) || (is_numeric($crop[0]) === false)) { $crop[0] = $crop[1]; } else if ((empty($crop[1]) === true) || (is_numeric($crop[1]) === false)) { $crop[1] = $crop[0]; } } $ratio = array ( 0 => $width / $height, 1 => $crop[0] / $crop[1], ); if ($ratio[0] > $ratio[1]) { $width = $height * $ratio[1]; $x = (imagesx($image) - $width) / 2; } else if ($ratio[0] < $ratio[1]) { $height = $width / $ratio[1]; $y = (imagesy($image) - $height) / 2; } /* How can I skip (join) this operation with the one in the Resize Section? */ $result = ImageCreateTrueColor($width, $height); if (is_resource($result) === true) { ImageSaveAlpha($result, true); ImageAlphaBlending($result, false); ImageFill($result, 0, 0, ImageColorAllocateAlpha($result, 255, 255, 255, 127)); ImageCopyResampled($result, $image, 0, 0, $x, $y, $width, $height, $width, $height); $image = $result; } } /* Resize Section */ if (is_null($size) === true) { $size = array(imagesx($image), imagesy($image)); } else { $size = array_filter(explode('x', $size)); if (empty($size) === true) { $size = array(imagesx($image), imagesy($image)); } else { if ((empty($size[0]) === true) || (is_numeric($size[0]) === false)) { $size[0] = round($size[1] * imagesx($image) / imagesy($image)); } else if ((empty($size[1]) === true) || (is_numeric($size[1]) === false)) { $size[1] = round($size[0] * imagesy($image) / imagesx($image)); } } } $result = ImageCreateTrueColor($size[0], $size[1]); if (is_resource($result) === true) { ImageSaveAlpha($result, true); ImageAlphaBlending($result, true); ImageFill($result, 0, 0, ImageColorAllocate($result, 255, 255, 255)); ImageCopyResampled($result, $image, 0, 0, 0, 0, $size[0], $size[1], imagesx($image), imagesy($image)); header('Content-Type: image/jpeg'); ImageInterlace($result, true); ImageJPEG($result, null, 90); } } return false; } ?> The function works as expected but I'm creating a non-required GD image resource, how can I fix it? I've tried joining both calls but I must be doing some miscalculations. <?php /* Usage Examples */ Image('http://upload.wikimedia.org/wikipedia/commons/4/47/PNG_transparency_demonstration_1.png', '1:1', '600x'); Image('http://upload.wikimedia.org/wikipedia/commons/4/47/PNG_transparency_demonstration_1.png', '2:1', '600x'); Image('http://upload.wikimedia.org/wikipedia/commons/4/47/PNG_transparency_demonstration_1.png', '2:', '250x300'); ?> Any help is greatly appreciated, thanks.

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• Offer the posibility to preview a personalized product

  - by bellesebastien

  I want to give my client's the possibility to preview their personalized product. In a nutshell, personalization means the user specifies some text and positions the text somewhere on an image of the product. A great example of what I'd like to achieve is this. Select a frame size and then hit Personalize, after you select the occasion and add the text you can chose to preview the product. The hardest thing to do here, as I see it, is to generate the image. The positioning of text will probably be made in javascript. Do you have any recommendations? Just as a note, using scene7 is not a possibility. Thanks.

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• Dynamically create and save image with Django and PIL/Django-Photologue

  - by Travis

  I want to generate a page of html with dynamic content and then save the result as an image as well as display the page to the user. So, user signs up to attend conference and gives their name and org. That data is combined with html/css elements to show what their id badge for the conference will look like (their name and org on top of our conference logo background) for preview. Upon approval, the page is saved on the server to an image format (PNG, PDF or JPG) to be printed onto a physical badge by an admin later. I am using Django and django-photologue powered by PIL. The view might look like this # app/views.py def badgepreview(request, attendee_id): u = User.objects.get(id=attendee_id) name = u.name org = u.org return render_to_response('app/badgepreview.html', {'name':name,'org':org,}, context_instance = RequestContext(request), ) The template could look like this {# templates/app/badgepreview.html #} {% extends "base.html" %} {% block page_body %} <div style='background:url(/site_media/img/logo_bg.png) no-repeat;'> <h4>{{ name }}</h4> <h4>{{ org }}</h4> </div> {% endblock %} simple, but how do I save the result? Or is there a better way to get this done?

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• Laplacian of Gaussian: how does it work? (opencv)

  - by maximus

  Does anybody know how does it work and how to do it using opencv? Laplacian can be calculated using opencv, but the result is not what I expected. I mean I expect the image to be approximately constant contrast at background regions, but it is black, and edges are white. There are a lot of noise also, even after gauss filter. I filter image using gaussian filter and then apply laplace. I think what I want is done by a different way.

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• C# Image Deskew

  - by Brett

  Has anyone seen any image deskew algorithms in c#? I have found: http://www.codeproject.com/KB/graphics/Deskew_an_Image.aspx but unfortunately, it doesn't do very much for images without text. I am specifically trying to auto deskew an image of a book with solid edges, but minimal text. Has anyone seen anything that may be able to do this?

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• Any task-control algorithms programming practices?

  - by NumberFour

  Hi, I was just wondering if there's any field which concerns the task-control programming (or at least that's the way I call it). For a better explanation of task-control consider the following scenario: An application (master-thread) waits for a command - which might be a particular action or a set of actions the application should perform. When a command is received the master-thread creates a task (= spawns an independent thread which actually does the action) and adds a record in it's task-list - thus keeping track of the time of execution, thread handle, task priority...etc. The master-thread awaits for any other incoming commands while taking care of all the tasks - e.g: kills tasks running too long, prioritizes tasks with higher priorities, kills a task on a request of another task, limits the number of currently running tasks, allows task scheduling, cleans finished tasks (threads) and so on. The model is pretty similar to what we can see in OS dealing with running processes. Are there any good practices programming such task-models or is there some theoretical work done in this field? Maybe my question is too generalized, but at least I wanted to know whether there are any experiences working on such models or if there's a better approach. Thanks for any answers.

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• Why aren't we programming on the GPU???

  - by Chris

  So I finally took the time to learn CUDA and get it installed and configured on my computer and I have to say, I'm quite impressed! Here's how it does rendering the Mandelbrot set at 1280 x 678 pixels on my home PC with a Q6600 and a GeForce 8800GTS (max of 1000 iterations): Maxing out all 4 CPU cores with OpenMP: 2.23 fps Running the same algorithm on my GPU: 104.7 fps And here's how fast I got it to render the whole set at 8192 x 8192 with a max of 1000 iterations: Serial implemetation on my home PC: 81.2 seconds All 4 CPU cores on my home PC (OpenMP): 24.5 seconds 32 processors on my school's super computer (MPI with master-worker): 1.92 seconds My home GPU (CUDA): 0.310 seconds 4 GPUs on my school's super computer (CUDA with static domain decomposition): 0.0547 seconds So here's my question - if we can get such huge speedups by programming the GPU instead of the CPU, why is nobody doing it??? I can think of so many things we could speed up like this, and yet I don't know of many commercial apps that are actually doing it. Also, what kinds of other speedups have you seen by offloading your computations to the GPU?

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• Real-time image slicing for Deep Zoom and Silverlight 4

  - by Alex

  Is there an example where the Deep Zoom images will prepare dynamically in real time? Is it even possible with Silverlight 4? So basically, whatever the Deep Zoom composer is doing under the hood should happen in real-time, on demand...

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• How can I convert yuv file to h264?

  - by yalcin

  Hello, I have cif and qcif yuv image files.I want to convert them to h264 file. Could you advise me any application or program that encode h264? Best Regards...

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• How to use gnlcomposition to concatenate video files?

  - by Hardy

  Hi All, I am trying to concatenate two video files with the gnonlin components of the gstreamer. The pipeline I am using is gst-launch-0.10 gnlcomposition { gnlfilesource name="s1" location="/home/s1.mp4" start=0 duration=2000000000 media-start=0 media-duration=2000000000 gnlfilesource name="s2" location="/home/s2.mp4" start=2000000000 duration=2000000000 media-start=0 media-duration=2000000000 } ! queue ! videorate ! progressreport name="Merging Progress" ! ffmpegcolorspace ! ffenc_mpeg4 ! ffmux_mp4 ! filesink location="/home/merge.mp4" As a result I am getting only the second file for the duration specified in the parameters. Tried several things and also searched on google but I could not figure out the problem with the above command. Can anyone point what i am doing wrong? Any other way of concatenating multiple files into one based on time is welcome too. Thanks

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• OCR for Devanagari (Hindi / Marathi / Sanskrit)

  - by Egon

  Does anybody have any idea about any recent work being done on optical character recognition for Indian scripts using modern Machine Learning techniques ? I know of some research being done at ISI, calcutta, but nothing new has come up in the last 3-4 years to the best of my knowledge, and OCR for Devanagari is sadly lacking!

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• computing matting Laplacian matrix of an Image

  - by ajith

  hi everyone, i need to compute Laplacian Matrix-L for an image(nXn) in opencv...computing goes as follows.......... dij - 1/|wk|{[1+1/(e/|wk|+s2)][(Ii-µk)*(Ij -µk)]}.... for all(i,j)?wk,summing over k yields (i,j)th element of L. where Here dij is the Kronecker delta,µk and s2k are the mean & variance of intensities in the window wk around k,and |wk| is the number of pixels in this window.wk is 3X3 window... here am not clear about 2 things... 1.what ll be the size of L?nXn or (nXn)X(nXn)?? 2.how to select Ii and Ij separately in 2D image?

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• Image Recognition (Shape recognition)

  - by mqpasta

  I want to recognize the shapes in the picture by template matching.Is the "ExhaustiveTemplateMatching" is the right option given in Aforge.Net for this purpose.Had anyone tried this class and find it working correctly.How accurate and right choice this class is for achieving my purpose.Suggest any other methods or Alogrithms as well for recognizing shapes by matching template.For example Identifying ComboBox in a picture.

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• Recognize objects in image

  - by DoomStone

  Hello I am in the process of doing a school project, where we have a robot driving on the ground in between Flamingo plates. We need to create an algorithm that can identify the locations of these plates, so we can create paths around them (We are using A Star for that). So far have we worked with AForged Library and we have created the following class, the only problem with this is that when it create the rectangles dose it not take in account that the plates are not always parallel with the camera border, and it that case will it just create a rectangle that cover the whole plate. So we need to some way find the rotation on the object, or another way to identify this. I have create an image that might help explain this Image the describe the problem: http://img683.imageshack.us/img683/9835/imagerectangle.png Any help on how I can do this would be greatly appreciated. Any other information or ideers are always welcome. public class PasteMap { private Bitmap image; private Bitmap processedImage; private Rectangle[] rectangels; public void initialize(Bitmap image) { this.image = image; } public void process() { processedImage = image; processedImage = applyFilters(processedImage); processedImage = filterWhite(processedImage); rectangels = extractRectangles(processedImage); //rectangels = filterRectangles(rectangels); processedImage = drawRectangelsToImage(processedImage, rectangels); } public Bitmap getProcessedImage { get { return processedImage; } } public Rectangle[] getRectangles { get { return rectangels; } } private Bitmap applyFilters(Bitmap image) { image = new ContrastCorrection(2).Apply(image); image = new GaussianBlur(10, 10).Apply(image); return image; } private Bitmap filterWhite(Bitmap image) { Bitmap test = new Bitmap(image.Width, image.Height); for (int width = 0; width < image.Width; width++) { for (int height = 0; height < image.Height; height++) { if (image.GetPixel(width, height).R > 200 && image.GetPixel(width, height).G > 200 && image.GetPixel(width, height).B > 200) { test.SetPixel(width, height, Color.White); } else test.SetPixel(width, height, Color.Black); } } return test; } private Rectangle[] extractRectangles(Bitmap image) { BlobCounter bc = new BlobCounter(); bc.FilterBlobs = true; bc.MinWidth = 5; bc.MinHeight = 5; // process binary image bc.ProcessImage( image ); Blob[] blobs = bc.GetObjects(image, false); // process blobs List<Rectangle> rects = new List<Rectangle>(); foreach (Blob blob in blobs) { if (blob.Area > 1000) { rects.Add(blob.Rectangle); } } return rects.ToArray(); } private Rectangle[] filterRectangles(Rectangle[] rects) { List<Rectangle> Rectangles = new List<Rectangle>(); foreach (Rectangle rect in rects) { if (rect.Width > 75 && rect.Height > 75) Rectangles.Add(rect); } return Rectangles.ToArray(); } private Bitmap drawRectangelsToImage(Bitmap image, Rectangle[] rects) { BitmapData data = image.LockBits(new Rectangle(0, 0, image.Width, image.Height), ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb); foreach (Rectangle rect in rects) Drawing.FillRectangle(data, rect, Color.Red); image.UnlockBits(data); return image; } }

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