How did LeoSleep work for RSC?

Discussion in 'Programming General' started by Cody, Nov 16, 2009.

How did LeoSleep work for RSC?
  1. Unread #1 - Nov 16, 2009 at 4:02 AM
  2. Cody
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    How did LeoSleep work for RSC?

    Anyone know how LeoSleep worked for runescape classic?

    Did it detect what letter were on the screen for the captcha?

    Or did it read the memory of the client?
     
  3. Unread #2 - Nov 16, 2009 at 9:03 AM
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    How did LeoSleep work for RSC?

    Didn't you say somewhere u had a copy of it?
     
  5. Unread #3 - Nov 16, 2009 at 6:21 PM
  6. Cody
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    How did LeoSleep work for RSC?

    LeoSleep 1.0.3
    Also has word dictionary.

    http://uppit.com/v/VUE7RP6W
     
  7. Unread #4 - Nov 17, 2009 at 4:37 AM
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    How did LeoSleep work for RSC?

    The DLL has 3 function;
    Code:
    getString
    loadDictionary
    loadModel
    The 'model' file looks like coordinates, that plus the getString function and the dll file is called OCRdll.dll. I'd have a stab at "Reads the characters from the screen"
     
  9. Unread #5 - Nov 17, 2009 at 10:15 AM
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    How did LeoSleep work for RSC?

    It's titled "A Runescape Classic OCR". And I'm sure you know what OCR is/does. So that's that.
     
  11. Unread #6 - Nov 22, 2009 at 5:14 PM
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    How did LeoSleep work for RSC?

    wow... this brings back memories for sure :-( anyone else remember theintensity.com? anyway, it works via a support vector machine, very similar to my own ocr. if you don't know what that is, it's using a linear classifier to classify input data (a feature vector) which was obtained from a feature extractor on the image and returning which class it best fit into. svm's are used in ai because classifying is a key part to machine learning :)

    if you're wondering...
    Code:
    nr_class 26
    one class for each letter.

    model.txt contains the training data for the classes btw

    the only mystery left is what features it extracted? edges? corners?
     
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