SRL Archive - RS3 Help

I was looking for Text recognition tutorial that would introduce several ways to recognise different types of characters and digits. I didn't find one. Maybe you know about anything like that?

A simple google search turned up with this for example: http://blog.ayoungprogrammer.com/2013/01/equation-ocr-part-1-using-contours-to.html

From: Frement
A simple google search turned up with this for example: http://blog.ayoungprogrammer.com/2013/01/equation-ocr-part-1-using-contours-to.html

I meant Villavu tutorial using Simba/SRL functions. I am begining with SRL and never programmed before.

From: Nufineek
I meant Villavu tutorial using Simba/SRL functions. I am begining with SRL and never programmed before.

Mind telling us what text you are trying to read and we can go from there :p

From: Officer Barbrady
Mind telling us what text you are trying to read and we can go from there :p

Well, I would love to learn about text recognising and examples of using the results. But for now, I would like to recognise for example these digits in GE window. I would like to pick just the digits and ignore the rest.

From: Nufineek
Well, I would love to learn about text recognising and examples of using the results. But for now, I would like to recognise for example these digits in GE window. I would like to pick just the digits and ignore the rest.

Str := getTextAtEx(Area, 0, 5, 2, Colour, Tolerance, 'Font'); //get text in a specified area with specified colour, tolerance, and font..
ExtractFromStr(Str, NUMBERS); //Extract only numbers from the string above..


Str := getTextAtEx(Area, 0, 5, 2, Colour, Tolerance, 'Font', NUMBERS); //same as above with automatic extraction.

Where:

Area is a TBox
Colour is an Integer
Tolerance is an Integer
Font is a String
NUMBERS is an StrExtr aka an enum.

From: Nufineek
Well, I would love to learn about text recognising and examples of using the results. But for now, I would like to recognise for example these digits in GE window. I would like to pick just the digits and ignore the rest.

Maybe @Olly; can explain how to use terreract… spent the last 40 minutes trying to read the 1 on that screenshot with it and I can't figure out how it works

{$i srl-6/srl.simba}

var
  bmp: integer;
  s: string;
  amount, price: string;
begin
  // feel free to delete this when it's actually on your client.
  bmp := BitmapFromString(162, 38, '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');
  debugBitmap(bmp);
  setTargetBitmap(bmp);
                         // area
  s := tesseractGetText(0, 0, 161, 38, [2, 2, false, 25]);

  amount := between('bought a total of', 'for a total', s);
  price := between('price of', ' gp.', s);

  writeln(format('Amount:%s | Price Payed:%s.', [amount, price]));

  freeTarget(getImageTarget());
  freeBitmap(bmp);
end.                         

Can go more into params when im not busy, but above works fine :P

Amount: 1 | Price Payed: 237.

From: Olly

{$i srl-6/srl.simba}

var
  bmp: integer;
  s: string;
  amount, price: string;
begin
  // feel free to delete this when it's actually on your client.
  bmp := BitmapFromString(162, 38, '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');
  debugBitmap(bmp);
  setTargetBitmap(bmp);
                         // area
  s := tesseractGetText(0, 0, 161, 38, [2, 2, false, 25]);

  amount := between('bought a total of', 'for a total', s);
  price := between('price of', ' gp.', s);

  writeln(format('Amount:%s | Price Payed:%s.', [amount, price]));

  freeTarget(getImageTarget());
  freeBitmap(bmp);
end.                         

Can go more into params when im not busy, but above works fine :P

Amount: 1 | Price Payed: 237.

I get this when I try your code:

Exception in Script: Runtime error: "Access violation" at line 115, column 29 in file "C:\Users\Adam ThinkPad\Dropbox\Scripts\Simba\Simba\Includes\srl-6\lib\tesseract\tesseract.simba"

From: Nufineek
I get this when I try your code:

Exception in Script: Runtime error: "Access violation" at line 115, column 29 in file "C:\Users\Adam ThinkPad\Dropbox\Scripts\Simba\Simba\Includes\srl-6\lib\tesseract\tesseract.simba"

Meh…. that's the shitty tesseract plugin messing up. I'm still waiting for wizzup to do some stuff behind the scenes.. and i've been waiting like 3 weeks lol.

From: Olly
Meh…. that's the shitty tesseract plugin messing up. I'm still waiting for wizzup to do some stuff behind the scenes.. and i've been waiting like 3 weeks lol.

Oh, that's that thing…I cannot run 1 more thing due to it :D But how comes it worked for you? Isn't there a way to solve this temporarily?