/* If the user selects a card, returns the card, otherwise null */
private Card AskUserToConfirm(Bitmap targetImage, Hashtable possibleMatches)
{
/*
* if (possibleMatches.Count == 0)
* {
* Globals.Director.WriteDebug(WRITE_DEBUG,"Warning: We should ask the user to confirm an image, but there are no possible matches...");
* return null;
* }*/
CardMatchSelectDialog dialog = new CardMatchSelectDialog();
dialog.Location = cardMatchDialogSpawnLocation;
dialog.DisplayImageToMatch(targetImage);
// Create list
List <String> orderedFilenames = new List <String>();
foreach (String cardMatchFile in possibleMatches.Keys)
{
orderedFilenames.Add(cardMatchFile);
Globals.Director.WriteDebug(WRITE_DEBUG, cardMatchFile + " has similarity of " + possibleMatches[cardMatchFile]);
}
orderedFilenames.Sort((delegate(String file1, String file2)
{
return(((double)possibleMatches[file2]).CompareTo((double)possibleMatches[file1]));
}));
// Create cards from filenames
const int MAX_CARDS_TO_DISPLAY = 5;
int i = 0;
foreach (String filename in orderedFilenames)
{
dialog.AddPossibleCardMatch(Card.CreateFromPath(filename));
i++;
if (i == MAX_CARDS_TO_DISPLAY)
{
break;
}
}
if (dialog.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
// The user selected a card
Card userCard = dialog.SelectedCard;
/* Before returning to the caller, we replace the image associated with the card
* with the targetimage. This process allows us to slowly replace the common card images templates
* with images that come directly from the poker client, allowing us to achieve an almost perfect match
* the next time the same card is compared */
ReplaceTemplateImageWith(userCard, targetImage);
return(userCard);
}
return(null);
}
/* It returns null if there are no good matches
* If training mode is enabled, a window might ask the user to aid the algorithm find the best match */
public Card MatchCard(Bitmap image, string player_card = null,
double perfectMatchHistogramThreshold = 0,
double possibleMatchTemplateThreshold = 0,
double allowableSimilarityThreshold = 0)
{
if (image == null)
{
return(null);
}
if (0.0d == perfectMatchHistogramThreshold)
{
perfectMatchHistogramThreshold = PERFECT_MATCH_HISTOGRAM_THRESHOLD;
}
if (0.0d == possibleMatchTemplateThreshold)
{
possibleMatchTemplateThreshold = POSSIBLE_MATCH_TEMPLATE_THRESHOLD;
}
if (0.0d == allowableSimilarityThreshold)
{
allowableSimilarityThreshold = ALLOWABLE_MATCH_TEMPLATE_THRESHOLD;
}
if (player_card == null)
{
player_card = "unk";
}
double minDifference = Double.MaxValue;
double maxSimilarity = 0.0d;
String bestMatchFilename = "";
/* We keep a hashtable of possible matches (filename => match %)
* so that if training mode is enabled we can access it to figure out which
* are the most likely candidates */
Hashtable possibleMatches = new Hashtable();
foreach (String cardMatchFile in cardMatchFiles)
{
Bitmap candidateImage = new Bitmap(cardMatchFile);
bool sizesMatch = candidateImage.Height == image.Height && candidateImage.Width == image.Width;
// For template matching template should be smaller than image
candidateImage = ScaleIfBiggerThan(image, candidateImage);
String name = cardMatchFile.Substring(cardMatchFile.Length - 9) + "\n";
Globals.Director.WriteDebug(WRITE_DEBUG, " --- STARTING COMP: " + name + " for: " + player_card);
double difference = HistogramBitmapDifference(image, candidateImage);
double similarity = TemplateMatchingSimilarity(image, candidateImage);
Globals.Director.WriteDebug(WRITE_DEBUG, "--- " + player_card + " : " + name + " difference: (" + difference + ") similarity: (" + similarity + ")");
if (difference < minDifference)
{
Globals.Director.WriteDebug(WRITE_DEBUG, " ---- setting the minDifference to: " + difference);
minDifference = difference;
bestMatchFilename = cardMatchFile;
}
if (similarity > maxSimilarity)
{
Globals.Director.WriteDebug(WRITE_DEBUG, " ---- setting the maxSimilarity to: " + similarity);
maxSimilarity = similarity;
}
/* We use histogram difference to match perfect copies of the image (after the training phase is over)
* but if they are different, we use the template matching as an indicator of similarity */
if (difference > perfectMatchHistogramThreshold && similarity > possibleMatchTemplateThreshold)
{
/* Our set of common cards is typically larger than the actual client matches
* (although there could be rare exceptions that would not influence negatively the behavior of the algorithm).
* So, given that same size images have already been matched by the user during training mode,
* we can pretty safely ignore them, since
* they are likely to be perfectly matched with another target (and this block would have not been executed) */
// if (!sizesMatch)
// {
// Globals.Director.WriteDebug(WRITE_DEBUG,"\n\n\n --- Adding " + name + " to possible matches");
possibleMatches.Add(cardMatchFile, similarity);
// }
}
candidateImage.Dispose();
}
Card matchedCard = null; // Hold the return value
/* If we have a possible match, but we are not too sure about it, we can ask the user to confirm our guesses */
if (Globals.UserSettings.TrainingModeEnabled)
{
if (minDifference > perfectMatchHistogramThreshold && maxSimilarity > possibleMatchTemplateThreshold)
{
Globals.Director.WriteDebug(WRITE_DEBUG, "Min difference too high (" + minDifference + ") and max similarity (" + maxSimilarity + ") above threshold, asking user to confirm our guesses");
Card userCard = null;
Globals.Director.RunFromGUIThread((Action) delegate()
{
userCard = AskUserToConfirm(image, possibleMatches);
}, false
);
if (userCard != null)
{
matchedCard = userCard;
}
}
}
Globals.Director.WriteDebug(WRITE_DEBUG, "\n\t Card Position: " + player_card + "\n\t");
Globals.Director.WriteDebug(WRITE_DEBUG, "Matched " + bestMatchFilename.Substring(bestMatchFilename.Length - 5) + " (Difference: " + minDifference + ")" + " (Similarity: " + maxSimilarity + ")");
Globals.Director.WriteDebug(WRITE_DEBUG, "\n\t bestMatchFile: " + bestMatchFilename + "\n\t");
Globals.Director.WriteDebug(WRITE_DEBUG, "\n\t allowableSimilarityThreshold: " + allowableSimilarityThreshold + "\n\t");
// If the user has selected a card, matchedCard is an object and this is skipped
if (minDifference < perfectMatchHistogramThreshold && matchedCard == null && bestMatchFilename != "")
{
Globals.Director.WriteDebug(WRITE_DEBUG, "\t --- creating from minDiff");
matchedCard = Card.CreateFromPath(bestMatchFilename);
}
if (maxSimilarity > allowableSimilarityThreshold && matchedCard == null && bestMatchFilename != "")
{
Globals.Director.WriteDebug(WRITE_DEBUG, "\t --- creating from maxSim: " + maxSimilarity);
matchedCard = Card.CreateFromPath(bestMatchFilename);
}
return(matchedCard);
}
/* It returns null if there are no good matches
* If training mode is enabled, a window might ask the user to aid the algorithm find the best match */
public Card MatchCard(Bitmap image)
{
if (image == null)
{
return(null);
}
double minDifference = Double.MaxValue;
double maxSimilarity = 0.0d;
String bestMatchFilename = "";
/* We keep a hashtable of possible matches (filename => match %)
* so that if training mode is enabled we can access it to figure out which
* are the most likely candidates */
Hashtable possibleMatches = new Hashtable();
foreach (String cardMatchFile in cardMatchFiles)
{
Bitmap candidateImage = new Bitmap(cardMatchFile);
bool sizesMatch = candidateImage.Height == image.Height && candidateImage.Width == image.Width;
// For template matching template should be smaller than image
candidateImage = ScaleIfBiggerThan(image, candidateImage);
double difference = HistogramBitmapDifference(image, candidateImage);
double similarity = TemplateMatchingSimilarity(image, candidateImage);
if (difference < minDifference)
{
minDifference = difference;
bestMatchFilename = cardMatchFile;
}
if (similarity > maxSimilarity)
{
maxSimilarity = similarity;
}
/* We use histogram difference to match perfect copies of the image (after the training phase is over)
* but if they are different, we use the template matching as an indicator of similarity */
if (difference > PERFECT_MATCH_HISTOGRAM_THRESHOLD && similarity > POSSIBLE_MATCH_TEMPLATE_THRESHOLD)
{
/* Our set of common cards is typically larger than the actual client matches
* (although there could be rare exceptions that would not influence negatively the behavior of the algorithm).
* So, given that same size images have already been matched by the user during training mode,
* we can pretty safely ignore them, since
* they are likely to be perfectly matched with another target (and this block would have not been executed) */
if (!sizesMatch)
{
possibleMatches.Add(cardMatchFile, similarity);
}
}
candidateImage.Dispose();
}
//Trace.WriteLine("Matched " + bestMatchFilename + " (Difference: " + minDifference + ")");
Card matchedCard = null; // Hold the return value
/* If we have a possible match, but we are not too sure about it, we can ask the user to confirm our guesses */
if (Globals.UserSettings.TrainingModeEnabled)
{
if (minDifference > PERFECT_MATCH_HISTOGRAM_THRESHOLD && maxSimilarity > POSSIBLE_MATCH_TEMPLATE_THRESHOLD)
{
Trace.WriteLine("Min difference too high (" + minDifference + ") and max similarity above threshold, asking user to confirm our guesses");
Card userCard = null;
Globals.Director.RunFromGUIThread((Action) delegate()
{
userCard = AskUserToConfirm(image, possibleMatches);
}, false
);
if (userCard != null)
{
matchedCard = userCard;
}
}
}
// If the user has selected a card, matchedCard is an object and this is skipped
if (minDifference < PERFECT_MATCH_HISTOGRAM_THRESHOLD && matchedCard == null && bestMatchFilename != "")
{
matchedCard = Card.CreateFromPath(bestMatchFilename);
}
return(matchedCard);
}
