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Search found 454 results on 19 pages for 'imaging'.

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  • Looking for fast, minimal, preferrably free disc cloning software [closed]

    - by Dave
    We have to test our application installation and functionality on many Windows operating system versions and languages (XP, Vista, Win7; English, Spanish, Portuguese, etc; 32-bit & b4-bit.) While we can do much of this in virtual machines, we have noticed that VM's sometimes hide problems, or raise false bugs. So, we need to do "bare metal" OS installation for much of our testing. I have been using Acronis True Image for the past year, and am not impressed. It often gives random errors which require a reboot, and is really slow. For example, when trying to restore an image, it goes through a "Locking partition" cycle about three times (once after you click OK on each step of the wizard), each of which can take 5 minutes to complete. This all happens BEFORE it actually starts the image copy, which is sometimes quick (3-5 minutes), sometimes long (hours). The size of all of our images are roughly the same, so that is not related. So, anyway, I'm looking to switch to something else: I only need very basic functionality--just creating images of entire discs, and then restoring those images onto the exact same hard drive at a later date. That's it. I'm not opposed to paying for a good piece of software, but if there is something free out there that does the job well, that would be a preference. My OS on which the imaging software would run is Windows Vista, but a bootable media (into a Linux flavor) would be fine also, as long as its quick to use and reliable. Recommendations? (Also, moderators, if this should be a CW, I'll be happy to mark it as such; unclear about the rules there.)

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  • Change the contrast of Image like Adobe Photoshop in ASP.net C#

    - by Hoque
    While I was trying to change the brightness and contrast of Image using C#, but I could not get success in changing the contrast of the Image. May I expect any support from here. I am using ColorMatrix to do that. Here are the code that I am using for brightness(works fine) and contrast(does not work properly). public static ColorMatrix CreateBrightnessMatrix(float Brightness) { if (Brightness < -1 || Brightness > 1) throw new ArgumentOutOfRangeException("Brightness value is out of range"); ColorMatrix cm = new ColorMatrix(new float[][]{ new float[] { 1f, 0, 0, 0, 0}, new float[] { 0, 1f, 0, 0, 0}, new float[] { 0, 0, 1f, 0, 0}, new float[] { 0, 0, 0, 1f, 0}, new float[] {Brightness, Brightness, Brightness, 1f, 1f}}); return cm; } public static ColorMatrix CreateContrastMatrix(float Contrast) { if (Contrast < 0 || Contrast > 3) throw new ArgumentOutOfRangeException("Contrast value is out of range"); float Trans = (1f - Contrast) / 2f; ColorMatrix cm = new ColorMatrix(new float[][]{ new float[] {Contrast, 0f, 0f, 0f, 0f}, new float[] { 0f, Contrast, 0f, 0f, 0f}, new float[] { 0f, 0f, Contrast, 0f, 0f}, new float[] { 0f, 0f, 0f, 1f, 0f}, new float[] { Trans, Trans, Trans, 0f, 1f}}); return cm; } Thanks.

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  • image segmentation using pil/any package of python

    - by sag
    hi all., i need to segment an image into regions .i'm using pil.i found no module to segment image in pil. I need this segmented regions as a list or dictionary. Actually i'm trying to compare the images for similarity in content aware fashion.for that i need to segment the image. i tried segwin tool but it is drawing another image(which is not required and also time consuming) thans in advance

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  • Fastest image iteration in Python

    - by Greg
    I am creating a simple green screen app with Python 2.7.4 but am getting quite slow results. I am currently using PIL 1.1.7 to load and iterate the images and saw huge speed-ups changing from the old getpixel() to the newer load() and pixel access object indexing. However the following loop still takes around 2.5 seconds to run for an image of around 720p resolution: def colorclose(Cb_p, Cr_p, Cb_key, Cr_key, tola, tolb): temp = math.sqrt((Cb_key-Cb_p)**2+(Cr_key-Cr_p)**2) if temp < tola: return 0.0 else: if temp < tolb: return (temp-tola)/(tolb-tola) else: return 1.0 .... for x in range(width): for y in range(height): Y, cb, cr = fg_cbcr_list[x, y] mask = colorclose(cb, cr, cb_key, cr_key, tola, tolb) mask = 1 - mask bgr, bgg, bgb = bg_list[x,y] fgr, fgg, fgb = fg_list[x,y] pixels[x,y] = ( (int)(fgr - mask*key_color[0] + mask*bgr), (int)(fgg - mask*key_color[1] + mask*bgg), (int)(fgb - mask*key_color[2] + mask*bgb)) Am I doing anything hugely inefficient here which makes it run so slow? I have seen similar, simpler examples where the loop is replaced by a boolean matrix for instance, but for this case I can't see a way to replace the loop. The pixels[x,y] assignment seems to take the most amount of time but not knowing Python very well I am unsure of a more efficient way to do this. Any help would be appreciated.

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  • .NET photo processing component

    - by John Williams
    Hi folks! I'm looking for a .NET image processing component or an open source alternative to automate the following tasks: Photo capture (webcams and photo cameras) Photo printing (grid/strip modes) Applying photo effects Saving photos AtalaSoft DotImage is quite expensive, any other suggestions are welcome. Thanks J

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  • sorl-thumbnail unit tests fail by 1 pixel (!)

    - by stevejalim
    Hi I'm using sorl-thumbnail in a Django 1.2 (currently 1.2 RC) project and getting a surprising failure of four of sorl's built-in unit tests. Essentially, the resized images are all 1px shorter than the unit tests expect them to be. See below for details I'm developing on OSX 10.5.8 (not Snow Leopard) with Python 2.5.1 (r251:54863, Feb 6 2009, 19:02:12) and PIL 1.1.6. Any thoughts what might be up? Cheers Steve ====================================================================== FAIL: test_extension (sorl.thumbnail.tests.fields.FieldTest) ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/local/django/myprojectnamehere/lib/sorl/thumbnail/tests/fields.py", line 66, in test_extension self.verify_thumbnail((50, 37), thumb, expected_filename) File "/usr/local/django/myprojectnamehere/lib/sorl/thumbnail/tests/base.py", line 92, in verify_thumbnail self.assertEqual(image.size, expected_size) AssertionError: (50, 38) != (50, 37) ====================================================================== FAIL: test_thumbnail (sorl.thumbnail.tests.fields.ImageWithThumbnailsFieldTest) ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/local/django/myprojectnamehere/lib/sorl/thumbnail/tests/fields.py", line 111, in test_thumbnail self.verify_thumbnail((50, 37), thumb, expected_filename) File "/usr/local/django/myprojectnamehere/lib/sorl/thumbnail/tests/base.py", line 92, in verify_thumbnail self.assertEqual(image.size, expected_size) AssertionError: (50, 38) != (50, 37) ====================================================================== FAIL: testTag (sorl.thumbnail.tests.templatetags.ThumbnailTagTest) ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/local/django/myprojectnamehere/lib/sorl/thumbnail/tests/templatetags.py", line 118, in testTag self.verify_thumbnail((90, 67), expected_filename=expected_fn) File "/usr/local/django/myprojectnamehere/lib/sorl/thumbnail/tests/base.py", line 92, in verify_thumbnail self.assertEqual(image.size, expected_size) AssertionError: (90, 68) != (90, 67)

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  • Any good source of explanatory documentation on ColorMatrix?

    - by mackenir
    I'd like to try using ColorMatrix, but am only able to find examples that convert an image to grayscale. And even then, they tend to be presented as a chunk of 'magic numbers' code with no explanation. Does anyone know of a 'tutorial' on how to use ColorMatrix? For example I'd be interested in converting a grayscale image to a color image, where white == transparent, and black = a solid color, with gray pixels somewhere in between. Could ColorMatrix do that?

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  • How to calculate the average rgb color values of a bitmap

    - by Matthias
    In my C# (3.5) application I need to get the average color values for the red, green and blue channels of a bitmap. Preferably without using an external library. Can this be done? If so, how? Thanks in advance. Trying to make things a little more precise: Each pixel in the bitmap has a certain RGB color value. I'd like to get the average RGB values for all pixels in the image.

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  • Error Converting PIL B&W images to Numpy Arrays

    - by Elliot
    I am getting weird errors when I try to convert a black and white PIL image to a numpy array. An example of the code I am working with is below. if image.mode != '1': image = image.convert('1') #convert to B&W data = np.array(image) #convert data to a numpy array n_lines = data.shape[0] #number of raster passes line_range = range(data.shape[1]) for l in range(n_lines): # process one horizontal line of the image line = data[l] for n in line_range: if line[n] == 1: write_line_to(xl, z+scale*n, speed) #conversion to other program code elif line[n] == 0: run_to(xl, z+scale*n) #conversion to other program code I have tried this using both array and asarray for the conversion, and gotten different errors. If I use array, then the data I get out is nothing like what I put in. It looks like several very shrunken partial images side by side, with the remainder of the image space filled in in black. If I use asarray, then the entirety of python crashes during the raster step (on a random line). If I work with a greyscale image ('L'), then neither of these errors occurs for either array or asarray. Does anyone know what I am doing wrong? Is there something odd about the way PIL encodes B&W images, or something special I need to pass numpy to make it convert properly?

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  • Determine if Alpha Channel is Used in an Image

    - by Otaku
    As I'm bringing in images into my program, I want to determine if: they have an alpha-channel if that alpha-channel is used #1 is simple enough with using Image.IsAlphaPixelFormat. For #2 though, other than looping through every single pixel, is there a simple way I can determine if at least one of the pixels has an alpha channel that is used (i.e. set to some other value than 255)? All I need back is a boolean and then I'll make determination as to whether to save it out to 32-bit or 24-bit.

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  • What's the best Mac custom disk image creation app?

    - by Lawrence Johnston
    I'm looking for a custom disk image creation app that I can integrate into the build process for my app (which means I need to be able to run it from the command line if possible). My desired features are that it will size the image for me, let me set the location of my icons when the image is opened, set a custom background/icon, etc. Free would be nice but if there's something that does exactly what I need I'll pay for it.

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  • NETCF - Displaying custom shaped form in compact framework

    - by Nullstr1ng
    Hi guys, I am developing some small little application that sits on the screen and on top of all window and flies around the screen, could be a bird or a butterfly or a fish. But I have a little bit of problem. How do I redraw the background without my images included? or how do I copy the background (not the wallpaper) behind my form with image? is it possible to have a custom shaped form also? currently, the app looks like this the 2nd image with X is what I currently have (it has some sort of tearing) and it's supposed to be the 1st one with check mark.

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  • Problems installing PIL after OSX 10.9

    - by user2632417
    I installed Mac OSX 10.9 the day it came out. Afterwards I decided I needed to install PIL. I'd installed it before, but it appeared the update had broken that. When I try to use pip to install PIL, it fails when building _imaging. It appears the root cause is this. /usr/include/sys/cdefs.h:655:2: error: Unsupported architecture Theres also a similar error here: /usr/include/machine/limits.h:8:2: error: architecture not supported and here: /usr/include/machine/_types.h:34:2: error: architecture not supported Then there's a whole list of missing types. /usr/include/sys/_types.h:94:9: error: unknown type name '__int64_t' typedef __int64_t __darwin_blkcnt_t; /* total blocks */ ^ /usr/include/sys/_types.h:95:9: error: unknown type name '__int32_t' typedef __int32_t __darwin_blksize_t; /* preferred block size */ ^ /usr/include/sys/_types.h:96:9: error: unknown type name '__int32_t' typedef __int32_t __darwin_dev_t; /* dev_t */ ^ /usr/include/sys/_types.h:99:9: error: unknown type name '__uint32_t' typedef __uint32_t __darwin_gid_t; /* [???] process and group IDs */ ^ /usr/include/sys/_types.h:100:9: error: unknown type name '__uint32_t' typedef __uint32_t __darwin_id_t; /* [XSI] pid_t, uid_t, or gid_t*/ ^ /usr/include/sys/_types.h:101:9: error: unknown type name '__uint64_t' typedef __uint64_t __darwin_ino64_t; /* [???] Used for 64 bit inodes */ Needless to say I don't know where to go from here. I've got a couple of guesses, but I don't even know how to check. Wrong include probably as a result of a badly configured environment variable Problem with Xcode's installation/ missing command line tools Messed up header files If anyone has any suggestions either to check one of those possibilities or for one of their own I'm all ears.

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  • how to generate large image in compact framework

    - by Buthrakaur
    I need to generate large images (A4 image at 200 DPI, PNG format would be fine) in my compact framework application. This is impossible to do in standard way due to memory limitations (such big image will throw OOMException). Is there any library which offers file-backed stream image generation? Or I could generate many smaller stripes of images (each stripe representing a row of the large image) using standard Bitmap approach, but I need to merge them together afterwards - is there any method how to merge many smaller images into one large without having to instantiate large Bitmap instance (which would again cause OOM)?

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  • Have to put files in static_dir but need to read them afterwards

    - by SanjamX
    I just started using google app engine. In order to use templates, I'm using jinja2. I want to add images dynamically after I set the width and height of the img tag. I used PIL in order to read the image size and put the one I want. However when I open the image with PIL, I need it not to be in a static_dir and to put the image in the img tag, I need it to be in the static_dir. As a testing solution I've copied the folder to see if I get results and I did. But as you can see having each image saved twice is kind of bad.

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  • getting Cannot identify image file when trying to create thumbnail in django

    - by Mo J. Mughrabi
    Am trying to create a thumbnail in django, am trying to build a custom class specifically to be used for generating thumbnails. As following from StringIO import StringIO from PIL import Image class Thumbnail(object): source = '' size = (50, 50) output = '' def __init__(self): pass @staticmethod def load(src): self = Thumbnail() self.source = src return self def generate(self, size=(50, 50)): if not isinstance(size, tuple): raise Exception('Thumbnail class: The size parameter must be an instance of a tuple.') self.size = size # resize properties box = self.size factor = 1 fit = True image = Image.open(self.source) # Convert to RGB if necessary if image.mode not in ('L', 'RGB'): image = image.convert('RGB') while image.size[0]/factor > 2*box[0] and image.size[1]*2/factor > 2*box[1]: factor *=2 if factor > 1: image.thumbnail((image.size[0]/factor, image.size[1]/factor), Image.NEAREST) #calculate the cropping box and get the cropped part if fit: x1 = y1 = 0 x2, y2 = image.size wRatio = 1.0 * x2/box[0] hRatio = 1.0 * y2/box[1] if hRatio > wRatio: y1 = int(y2/2-box[1]*wRatio/2) y2 = int(y2/2+box[1]*wRatio/2) else: x1 = int(x2/2-box[0]*hRatio/2) x2 = int(x2/2+box[0]*hRatio/2) image = image.crop((x1,y1,x2,y2)) #Resize the image with best quality algorithm ANTI-ALIAS image.thumbnail(box, Image.ANTIALIAS) # save image to memory temp_handle = StringIO() image.save(temp_handle, 'png') temp_handle.seek(0) self.output = temp_handle return self def get_output(self): return self.output.read() the purpose of the class is so i can use it inside different locations to generate thumbnails on the fly. The class works perfectly, I've tested it directly under a view.. I've implemented the thumbnail class inside the save method of the forms to resize the original images on saving. in my design, I have two fields for thumbnails. I was able to generate one thumbnail, if I try to generate two it crashes and I've been stuck for hours not sure whats the problem. Here is my model class Image(models.Model): article = models.ForeignKey(Article) title = models.CharField(max_length=100, null=True, blank=True) src = models.ImageField(upload_to='publication/image/') r128 = models.ImageField(upload_to='publication/image/128/', blank=True, null=True) r200 = models.ImageField(upload_to='publication/image/200/', blank=True, null=True) uploaded_at = models.DateTimeField(auto_now=True) Here is my forms class ImageForm(models.ModelForm): """ """ class Meta: model = Image fields = ('src',) def save(self, commit=True): instance = super(ImageForm, self).save(commit=True) file = Thumbnail.load(instance.src) instance.r128 = SimpleUploadedFile( instance.src.name, file.generate((128, 128)).get_output(), content_type='image/png' ) instance.r200 = SimpleUploadedFile( instance.src.name, file.generate((200, 200)).get_output(), content_type='image/png' ) if commit: instance.save() return instance the strange part is, when i remove the line which contains instance.r200 in the form save. It works fine, and it does the thumbnail and stores it successfully. Once I add the second thumbnail it fails.. Any ideas what am doing wrong here? Thanks Update: I tried earlier doing the following but I still got the same error class ImageForm(models.ModelForm): """ """ class Meta: model = Image fields = ('src',) def save(self, commit=True): instance = super(ImageForm, self).save(commit=True) instance.r128 = SimpleUploadedFile( instance.src.name, Thumbnail.load(instance.src).generate((128, 128)).get_output(), content_type='image/png' ) instance.r200 = SimpleUploadedFile( instance.src.name, Thumbnail.load(instance.src).generate((200, 200)).get_output(), content_type='image/png' ) if commit: instance.save() return instance

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  • Java for loop with multiple incrementers

    - by user2517280
    Im writing a program which combines the RGB pixel values for 3 images, e.g. red pixel of image 1, green pixel of image 2 and blue pixel of image 3 and I want to then create a final image of it. Im using the code below, but this seems to be incrementing x2 and x3 whilst x1 is the same, i.e. not giving the right pixel value for same co-ordinate for each image. for (int x = 0; x < image.getWidth(); x++) { for (int x2 = 0; x2 < image2.getWidth(); x2++) { for (int x3 = 0; x3 < image3.getWidth(); x3++) { for (int y = 0; y < image.getHeight(); y++) { for (int y2 = 0; y2 < image2.getHeight(); y2++) { for (int y3 = 0; y3 < image3.getHeight(); y3++) { So I was wondering if anyone can tell me how to iterate through each of the 3 images on the same co-ordinate, so for example read 1, 1 of each image and record the red, green and blue value accordingly. Apologies if it doesnt make complete sense, its a bit hard to explain. I can iterate the values for one image fine but when I add in another, things start to go a bit wrong as obviously its quite a bit more complicated! I was thinking it might be easier to create an array and replace the according values in that just not sure how to do that effectively either. Thanks

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  • WebCenter Customer Spotlight: College of American Pathologists

    - by me
    Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution Summary College of American Pathologists Goes Live with OracleWebCenter - Imaging, AP Invoice Automation, and EBS Managed Attachment with Support for Imaging ContentThe College of American Pathologists (CAP), the leading organization of board-certified pathologists serving more then 18,000 physician members, 7,000 laboratories are accredited by the CAP, and approximately 22,000 laboratories are enrolled in the College’s proficiency testing programs. The business objective was to content-enable their Oracle E-Business Suite (EBS) enterprise application by combining the best of Imaging and Manage Attachment functionality providing a unique opportunity for the business to have unprecedented access to both structure and unstructured content from within their enterprise application. The solution improves customer services turnaround time, provides better compliance and improves maintenance and management of the technology infrastructure. Company OverviewThe College of American Pathologists (CAP), celebrating 50 years as the gold standard in laboratory accreditation, is a medical society serving more than 17,000 physician members and the global laboratory community. It is the world’s largest association composed exclusively of board certified pathologists and is the worldwide leader in laboratory quality assurance. The College advocates accountable, high-quality, and cost-effective patient care. The more than 17,000 pathologist members of the College of American Pathologists represent board-certified pathologists and pathologists in training worldwide. More than 7,000 laboratories are accredited by the CAP, and approximately 23,000 laboratories are enrolled in the College’s proficiency testing programs.  Business ChallengesThe CAP business objective was to content-enable their Oracle E-Business Suite (EBS) enterprise application by combining the best of Imaging and Manage Attachment functionality providing a unique opportunity for the business to have unprecedented access to both structure and unstructured content from within their enterprise application.  Bring more flexibility to systems and programs in order to adapt quickly Get a 360 degree view of the customer Reduce cost of running the business Solution DeployedWith the help of Oracle Consulting, the customer implemented Oracle WebCenter Content as the centralized E-Business Suite Document Repository.  The solution enables to capture, present and manage all unstructured content (PDFs,word processing documents, scanned images, etc.) related to Oracle E-Business Suite transactions and exposing the related content using the familiar EBS User Interface. Business ResultsThe CAP achieved following benefits from the implemented solution: Managed Attachment Solution Align with strategic Oracle Fusion Middleware platform Integrate with the CAP existing data capture capabilities Single user interface provided by the Managed Attachment solution for all content Better compliance and improved collaboration  Account Payables Invoice Processing Imaging Solution Automated invoice management eliminating dependency on paper materials and improving compliance, collaboration and accuracy A single repository to house and secure scanned invoices and all supplemental documents Greater management visibility of invoice entry process Additional Information CAP OpenWorld Presentation Oracle WebCenter Content Oracle Webcenter Capture Oracle WebCenter Imaging Oracle  Consulting

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  • python imaging library draw text new line how to?

    - by joven
    i have a word that will be putted on a image but the problem is that the word continues even though the word exceeds the width of the image is there anyway that the word shift's down if the word exceeds the width of the image or on a certain point the word shift's down if it exceeds the given point

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  • Bitmap to Texture2D problem with colors

    - by xnaNewbie89
    I have a small problem with converting a bitmap to a Texture2D. The resulted image of the conversion has the red channel switched with the blue channel :/ I don't know why, because the pixel formats are the same. If someone can help me I will be very happy :) System.Drawing.Image image = System.Drawing.Bitmap.FromFile(ImageFileLoader.filename); System.Drawing.Bitmap bitmap = new System.Drawing.Bitmap(image); Texture2D mapTexture = new Texture2D(Screen.Game.GraphicsDevice, bitmap.Width, bitmap.Height,false,SurfaceFormat.Color); System.Drawing.Imaging.BitmapData data = bitmap.LockBits(new System.Drawing.Rectangle( 0, 0, bitmap.Width, bitmap.Height), System.Drawing.Imaging.ImageLockMode.ReadOnly,System.Drawing.Imaging.PixelFormat.Format32bppArgb); byte[] bytes = new byte[data.Height * data.Width*4]; System.Runtime.InteropServices.Marshal.Copy(data.Scan0, bytes, 0, bytes.Length); mapTexture.SetData<byte>(bytes, 0, data.Height * data.Width * 4); bitmap.UnlockBits(data); bitmap.Dispose(); image.Dispose();

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