I have a stack of 400 images, each with dimensions of 400*400 pixels that i need to flip onto it's side so that the left-most column of each image in the old stack becomes the top image in the new stack, the second columns become the second image, and so on. I am using windows, but there are few other restrictions, as i can use imagej to save the stack in any reasonable format, including gif, tif, and a set of sequentially named non-layered images. Additionally, i only need to do this twice, so a workaround is fine.
Solved it myself in imagej (posibly the "fiji" version only) using Image>stacks>reslice Which does exactly what i want.
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I have multiple images in the column portion of a matrix that displays the image if there is one. If there is not an image defined for the image number, the report correctly hides the image (as the BorderColor = Black is not shown) but the white space still remains.
I have tried every possible combination (except the correct one obviously) to no avail.
My objective is to only have the width of the 8 images be 2
Any Ideas?...And splitting the images into individual lines is not an option as it negates the whole premise of using the Matrix.
I have tried placing the hidden code in every possible Hidden field in the report. All postings found all refer to a SINGLE image and not MULTIPLE images.
I've been playing around writing a scraper that scrapes Deviantart.com. It saves a copy of new images locally, and also creates a record in a Postgresql DB for the image. My problem: as new images come in, how do I know if this new image corresponds to an image I've seen before? Dupes are fairly rare on DA, but at the same time, this is an interesting problem in a more general sense.
Thoughts on ways to proceed?
Right now the Postgresql DB is populated as I scrape images, and which has a table which looks like:
CREATE TABLE Image
(
id SERIAL PRIMARY KEY NOT NULL,
url varchar(5000) UNIQUE NOT NULL,
dateadded timestamp without time zone default (now() at time zone 'utc'),
width int,
height int
);
Where url is the link to the image as I scraped it from DA (ex: http://th05.deviantart.net/fs70/PRE/f/2014/222/2/3/sketch_dump_56_by_lilaira-d7uj8pe.png), dateadded is the datetime the scraper found the image, and width & height are the image dimensions.
I currently don't store the image itself in the database, but I do keep a local mirror -- I take the url for the image and wget -r -nc the file. So for a url: http://th05.deviantart.net/fs70/PRE/f/2014/222/2/3/sketch_dump_56_by_lilaira-d7uj8pe.png I keep a local copy at <somedir>/th05.deviantart.net/fs70/PRE/f/2014/222/2/3/sketch_dump_56_by_lilaira-d7uj8pe.png
Now, image recognition in the general case is quite hard. I want to be able to handle things like slight resizes, which I could account for by normalizing all images kept to a specific resolution, and normalize the query image to that same resolution at query time. I want to be able to handle things like change of format (PNG vs JPG vs etc) which I could do by reading an image file into a normalized format (ex: uncompressed RGB values for each pixel, though ideally some "slack" would be tolerated here).
Nice to haves (would be willing to give up for simplification/better accuracy):
I'd like to be able to handle cropping an image (ex: I've previously seen imageA, and somebody takes imageA and crops it and uploads it as imageB I'd like to notice that as a duplicate).
I'd like to be able to handle watermarking an image with a logo
I'd like to be able to handle cropping in a case where the new image to classify is a subimage of a previously seen image (ie - I have imageA stored, somebody takes imageA and crops it, I'd like to be able to map that cropped image to imageA)
Constraints/extra info:
I'm not at all interested in finding images that are different yet similar (ex: two distinct photos of the same Red Bus should be reported as two distinct images)
while I'm not entirely opposed to using metadata (ex: artist, image category, etc), I'd like to keep this as constrained to just the image data (EXIF data, resolution, RBG colour values) as possible.
an image that is sized down and appears in a new larger image I wish to consider as different. Ex: I have imageA, I resize it to 50x50, and that 50x50 grid appears in a new image, I would not consider the new image "the same" as imageA (though I suppose by the criteria outlined previously I would consider imageA a duplicate of the new image)
It would be nice but not required if one could detect "minor" revisions in the image (ex: a blanket change to the the gamma value in an image, etc)
Thoughts? Suggestions?
For my use case I'm far more concerned about false positives than false negatives, and as such a "fuzzy match" approach should err on the side of caution.
In case it matters I'm writing all of this in Python, though TBH I'm happy to use an alternate tech if it solves my problem elegantly/efficiently.
I would grab a small subimage somewhere not near the edges, and cross correlate this within the vicinity of its source location in your database images. You can resample it prior to cross correlation to account for small resizes, and you can choose the size of the vicinity that you match against to account for asymmetrical crops of a certain percentage.
To avoid percect fits on featureless regions (e.g. the sky) you could use local image variation as a selection criterion for the subimage location.
This would still be quite slow, so it will be necessary to use a global image metric to first select candidate duplicates from the database (e.g. the color histograms mentioned by danf).
I recently have a project which invovles attempting to automatically "mock-up" images with a standard logo. For example, I have 1000 images of products, and I have one logo image that needs to be placed (over-layed) on top of each image. I know I can do this with ColdFusion's imageOverLay() function. However, I assume this always puts the overlayed image right in the middle of the underlying image (assuming they have the same width and height parameters). I was wondering if there was any way possible to specify and X/Y coordinate of the top-left corner of the overlaying image, and have the overlayed image placed in that location?
An example of a site:
http://www.internalsearch.expandedproductsearch.com/catalog/48/
You'll notice that all of the products have an image properly placed on the products. And I can assure you this wasn't done by hand. They must have a way to specifying where the overlaying image should go for each product, and then it just automatically puts the overlaying image (logo) in that spot. Can anyone think of any other way to do this? Is there some sort of advanced image library I could use with ColdFusion?
Any information would be greatly appreciated! Thank you.
I believe this got answered over on the Adobe forums and you are correct #Leigh; imagePaste was the solution.
I still can't comment on a question so posting this as an answer.
I am trying to modify the default I-beam cursor image. I'm using [[[NSCursor IBeamCursor] image] representations], passing each one through a CIFilter and adding it to a new image. However, the resulting cursor looks as though it is rendering the low-resolution images.
The High Resolution Guidelines say:
For custom cursors, you can pass a multirepresentation TIFF to the NSCursor class method initWithImage:hotSpot:.
So I would expect this to work. Additionally, if I get the -TIFFRepresentation of the original image and my modified image, and write them to disk, they both look like multi-page TIFF files with the same size images. What could I be doing wrong?
I have a somewhat-temporary solution: manually call -setSize: on each image representation, dividing the pixel height and width by the screen's scale factor. However, this technique doesn't seem like it will work ideally with multiple screens.
You're right on. I've been debugging this all day and I'm pretty sure I've got it nailed. I'm not doing exactly the same thing you are (my images are loaded from a file) but the end result is exactly the same.
The trick is to set the first representation of the multi-representation image to the non-retina size. If you are loading your cursors from an image file, you must take this extra step to adjust the size of the representations to match. It doesn't work 'out-of-the-box' as you would expect.
I've tested this on a machine with two monitors and dragging the window from the retina display to the non-retina display acts as it should, displaying the high/low resolution images for the cursor.
I had a similar problem a while ago: I had my cursor in a PDF, and it always drew as if it was a pixel image at 1:1 size, blown up. There's a solution to that in NSCursor: Using high-resolution cursors with cursor zoom (or retina).
Maybe someone can use that technique to solve this problem? My guess is creating an image with the same size but a different CTM marks it as the same size but Retina. What #jtbrandes is doing probably marks it as a different size and non-Retina. So you're effectively losing the scale factor information. If you create an image with a CTM in the hints, maybe you can draw the filtered images into it and it'll be detected right.
I would like to loop through a sequence of images. I have tried using a Pivot control, but I don't like the blank space in between image transitions. I would prefer to use something that will animate between images smoothly. I also looked at the LoopingSelector control, but I can't seem to set the orientation to horizontal.
I'm assuming you're interested in a kind of image viewer like iOS offers, swiping right or left to navigate through the photos. If that's the case, I hate to say it but i think you're looking at building your own control.
I think to implement it properly these are the essential things you need to think about and address:
For performance' sake, load all the images you have into memorystream objects and store the binary data (you can get creative with this and only store the first 10-15 images, depending on how large the images are, doing this would enable your control to support thousands of images and still perform like a champ).
Once an image is about to be on-screen set the source of the image to the saved memorystream object that has the bytes loaded into it (this will minimize the work that the UI thread does, keeping the control performant and responsive)
Use Manipulation events to track the delta x of the motion someone uses when swiping left to right in order to actually perform the moving of the items
Move the images by changing their Canvas.Left property (you can go negative I think, otherwise just make your canvas the width of all the images you have combined)
Look up some of the available libraries to support momentum so you can have a natural smooth transition between images