Indentation fixes

Scott Klum
1 parent fdda9f5c
Showing 2 changed files with 15 additions and 15 deletions
openbr/plugins/classification/cascade.cpp
openbr/plugins/imgproc/slidingwindow.cpp
@@ -235,11 +235,11 @@ class CascadeClassifier : public Classifier
     float classify(const Template &src, bool process, float *confidence) const
     {
         float stageConf = 0.0f;
-	const int stopStage = maxStage == -1 ? numStages : maxStage;
-	int stageIndex = 0;
-	foreach (const Classifier *stage, stages) {
-	    if (stageIndex == stopStage)
-		break;
+        const int stopStage = maxStage == -1 ? numStages : maxStage;
+        int stageIndex = 0;
+        foreach (const Classifier *stage, stages) {
+            if (stageIndex == stopStage)
+                break;
             float result = stage->classify(src, process, &stageConf);
             if (confidence)
                 *confidence += stageConf;
@@ -106,18 +106,18 @@ class SlidingWindowTransform : public MetaTransform
             const Size classifierSize = classifier->windowSize(&dx, &dy);
             for (double factor = 1; ; factor *= scaleFactor) {
-		// TODO: This should support non-square sizes
-		// Compute the size of the window in which we will detect faces
-		const Size detectionSize(cvRound(minSize*factor),cvRound(minSize*factor));
+                // TODO: This should support non-square sizes
+                // Compute the size of the window in which we will detect faces
+                const Size detectionSize(cvRound(minSize*factor),cvRound(minSize*factor));
-		// Stop if detection size is bigger than the image itself
-		if (detectionSize.width > imageSize.width || detectionSize.height > imageSize.height)
-		    break;
+                // Stop if detection size is bigger than the image itself
+                if (detectionSize.width > imageSize.width || detectionSize.height > imageSize.height)
+                    break;
-		const float widthScale = (float)classifierSize.width/detectionSize.width;
-		const float heightScale = (float)classifierSize.height/detectionSize.height;
-		
-		// Scale the image such that the detection size within the image corresponds to the respresentation size
+                const float widthScale = (float)classifierSize.width/detectionSize.width;
+                const float heightScale = (float)classifierSize.height/detectionSize.height;
+
+                // Scale the image such that the detection size within the image corresponds to the respresentation size
                 const Size scaledImageSize(cvRound(imageSize.width*widthScale), cvRound(imageSize.height*heightScale));
                 Template rep(t.file);