SRL Archive - OSR Help

So I am attempting to get the Uptext (RSPS) using GetTextATPA:

{$I SRL/SRL.Simba}
{$i SRL/srl/misc/debug.simba}
var

  BMP:Integer;

function getText:T2DPointArray;
var
  TPA:TPointArray;
begin
  ColorToleranceSpeed(2);
  SetColorSpeed2Modifiers(0.21, 1.29);
  FindColorsTolerance(TPA, 13625361, 6, 7, 199, 21, 10);
  ColorToleranceSpeed(1);
  SetColorSpeed2Modifiers(0.02, 0.02);
  if (Length(TPA) > 0) then
  begin
  //  Writeln(length(TPA));
    result := TPAToATPAEx(TPA2, 200, 13);
    DebugTPA(TPA, 'bmp');
  end;
end;
function t_getUpText:string;
begin
  ColorToleranceSpeed(2);
  SetColorSpeed2Modifiers(0.21, 1.29);
  ColorToleranceSpeed(1);
  SetColorSpeed2Modifiers(0.02, 0.02);
  result := GetTextATPA(getText, 0, 'ssupchars');
end;

begin
  wait(1500);
  Writeln(t_getuptext);
end.

It is returning nothing.. yes the font is correct and here is the debug:


Am I doing something wrong?

Setup SRL first yo'.

From: Sin
Setup SRL first yo'.

same result

and in the past calling setupsrl while RSPS scripting has murdered the script -.- as in causing unknown errors and issues

You really need to look closer at what you've written.

function getText:T2DPointArray;
var
  TPA:TPointArray;
begin
  ColorToleranceSpeed(2);
  SetColorSpeed2Modifiers(0.21, 1.29);
  FindColorsTolerance(TPA, 13625361, 6, 7, 199, 21, 10);   // Ok so the TPA of the text color is stored as "TPA"
  ColorToleranceSpeed(1);
  SetColorSpeed2Modifiers(0.02, 0.02);
  if (Length(TPA) > 0) then
  begin
    Writeln(length(TPA));
    result := TPAToATPAEx(TPA2, 200, 13);                  //...and what is TPA2?  Where is that ever defined?
    DebugTPA(TPA, 'bmp');
  end;
end;

function t_getUpText:string;
begin
  ColorToleranceSpeed(2);                                  // Why are 'any' of these needed?
  SetColorSpeed2Modifiers(0.21, 1.29);                     //..Same
  ColorToleranceSpeed(1);                                  //..Same
  SetColorSpeed2Modifiers(0.02, 0.02);                     //..Same
  result := GetTextATPA(getText, 0, 'ssupchars');
end;

From: Flight
You really need to look closer at what you've written.

function getText:T2DPointArray;
var
  TPA:TPointArray;
begin
  ColorToleranceSpeed(2);
  SetColorSpeed2Modifiers(0.21, 1.29);
  FindColorsTolerance(TPA, 13625361, 6, 7, 199, 21, 10);   // Ok so the TPA of the text color is stored as "TPA"
  ColorToleranceSpeed(1);
  SetColorSpeed2Modifiers(0.02, 0.02);
  if (Length(TPA) > 0) then
  begin
    Writeln(length(TPA));
    result := TPAToATPAEx(TPA2, 200, 13);                  //...and what is TPA2?  Where is that ever defined?
    DebugTPA(TPA, 'bmp');
  end;
end;

function t_getUpText:string;
begin
  ColorToleranceSpeed(2);                                  // Why are 'any' of these needed?
  SetColorSpeed2Modifiers(0.21, 1.29);                     //..Same
  ColorToleranceSpeed(1);                                  //..Same
  SetColorSpeed2Modifiers(0.02, 0.02);                     //..Same
  result := GetTextATPA(getText, 0, 'ssupchars');
end;

woops

{$I SRL/SRL.Simba}
{$i SRL/srl/misc/debug.simba}
var

  BMP:Integer;

function getText:T2DPointArray;
var
  TPA:TPointArray;
begin
  ColorToleranceSpeed(2);
  SetColorSpeed2Modifiers(0.21, 1.29);
  FindColorsTolerance(TPA, 13625361, 6, 7, 199, 21, 11);
  ColorToleranceSpeed(1);
  SetColorSpeed2Modifiers(0.02, 0.02);
  if (Length(TPA) > 0) then
  begin
  //  Writeln(length(TPA));
    result := TPAToATPAEx(TPA, 200, 13);
    DebugTPA(TPA, 'bmp');
  end;
end;
function t_getUpText:string;
begin
  result := GetTextATPA(getText, 1, 'ssupchars');
end;

begin
  //setupsrl;
  wait(1500);
  Writeln(t_getuptext);
end.

Keeps returning only "W" for "Large door"

I would say first, make sure your font set of "ssupchars" is loaded on Simba start-up, second; double-check your colors (perhaps use CTS1 instead with a high tolerance, ACA helps), and make sure your static coordinates for UpText location are correct.

From: Flight
I would say first, make sure your font set of "ssupchars" is loaded on Simba start-up, second; double-check your colors (perhaps use CTS1 instead with a high tolerance, ACA helps), and make sure your static coordinates for UpText location are correct.

Well did that:

loadFont('ssupchars', false);

tried true and false both with the same result, and I know it's finding the colors because the debug shows all of the text being highlighted

Whole point of get text atpa is that each tpa is a single char, also i believe you can just use GetTextAtEx just change the color mods before hand.

From: Olly
Whole point of get text atpa is that each tpa is a single char, also i believe you can just use GetTextAtEx just change the color mods before hand.

oooooo

EDIT2: I don't understand why this isn't working.

{$I SRL/SRL.Simba}
{$i SRL/srl/misc/debug.simba}

function getText:T2DPointArray;
var
  TPA:TPointArray;
begin
  ColorToleranceSpeed(2);
  SetColorSpeed2Modifiers(0.21, 1.29);
  FindColorsTolerance(TPA, 13625361, 6, 7, 199, 21, 11);
  ColorToleranceSpeed(1);
  SetColorSpeed2Modifiers(0.02, 0.02);
  if (Length(TPA) > 0) then
  begin
    result := SplitTPAEx(TPA, 1, 12);
    DebugATPABounds(result);
  //  DebugTPA(TPA, 'bmp');
  end;
end;
function t_getUpText:string;
var
  B:TBox;
begin
  result := GetTextATPA(getText, 3, 'ssupchars'); //   GetText
end;

begin
  //setupsrl;
  wait(1500);
  Writeln(t_getuptext);
end.

bad font set..? post a screenshot of some uptext, not zoomed in or anything with no debugging on it.

From: Olly
bad font set..? post a screenshot of some uptext, not zoomed in or anything with no debugging on it.

program new;

var
  Bmp: integer;
var
  tpa: tpointarray;
  atpa: t2dpointarray;

begin
  bmp := BitmapFromString(289, 62, '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');


  setTargetBitmap(bmp);

  findColorsTolerance(tpa, 16053505, 0, 0, 280, 60, 50);

  atpa := splitTPAEx(tpa, 1, 10);

  sortATPAFromFirstPointX(atpa, point(0, 0));

  writeln(getTextATPA(atpa, 5, 'upchars07'));



  drawTPABitmap(bmp, tpa, clLime);

  displayDebugImgWindow(300, 80);
  drawBitmapDebugImg(bmp);
end.                     

Works for me bro.

From: Olly

program new;

var
  Bmp: integer;
var
  tpa: tpointarray;
  atpa: t2dpointarray;

begin
  bmp := BitmapFromString(289, 62, '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');


  setTargetBitmap(bmp);

  findColorsTolerance(tpa, 16053505, 0, 0, 280, 60, 50);

  atpa := splitTPAEx(tpa, 1, 10);

  sortATPAFromFirstPointX(atpa, point(0, 0));

  writeln(getTextATPA(atpa, 5, 'upchars07'));



  drawTPABitmap(bmp, tpa, clLime);

  displayDebugImgWindow(300, 80);
  drawBitmapDebugImg(bmp);
end.                     

Works for me bro.

woot ty

Only problem is
S = 5
T = I
D = B

But it's perfect otherwise

{$I SRL/SRL.Simba}
{$i SRL/srl/misc/debug.simba}

function getText:T2DPointArray;
var
  TPA:TPointArray;
begin
  ColorToleranceSpeed(2);
  SetColorSpeed2Modifiers(0.21, 1.29);
  FindColorsTolerance(TPA, 13625361, 6, 7, 199, 21, 11);
  ColorToleranceSpeed(1);
  SetColorSpeed2Modifiers(0.02, 0.02);
  if (Length(TPA) > 0) then
  begin
    result := SplitTPAEx(TPA, 1, 12);
    sortATPAFromFirstPointX(atpa, point(0, 0));
    DebugATPABounds(result);
  //  DebugTPA(TPA, 'bmp');
  end;
end;
function t_getUpText:string;
var
  B:TBox;
begin
  result := GetTextATPA(getText, 3, 'ssupchars'); //   GetText
end;

begin
  //setupsrl;
  wait(1500);
  Writeln(t_getuptext);
end.

You can try that, pretty sure the problem (if your fonts work) was that you were not sorting the atpa from left…right.