Peter M. Groen / openbr

Commit ecc070663208f02010a2d343cd7c3aa1eed79da2

Authored by Scott Klum
1 parent fdda9f5c

Indentation fixes

Inline Side-by-side
Showing 2 changed files with 15 additions and 15 deletions
openbr/plugins/classification/cascade.cpp
  View file @ecc0706
... ... @@ -235,11 +235,11 @@ class CascadeClassifier : public Classifier
235 235 float classify(const Template &src, bool process, float *confidence) const
236 236 {
237 237 float stageConf = 0.0f;
238   - const int stopStage = maxStage == -1 ? numStages : maxStage;
239   - int stageIndex = 0;
240   - foreach (const Classifier *stage, stages) {
241   - if (stageIndex == stopStage)
242   - break;
  238 + const int stopStage = maxStage == -1 ? numStages : maxStage;
  239 + int stageIndex = 0;
  240 + foreach (const Classifier *stage, stages) {
  241 + if (stageIndex == stopStage)
  242 + break;
243 243 float result = stage->classify(src, process, &stageConf);
244 244 if (confidence)
245 245 *confidence += stageConf;
... ...
openbr/plugins/imgproc/slidingwindow.cpp
  View file @ecc0706
... ... @@ -106,18 +106,18 @@ class SlidingWindowTransform : public MetaTransform
106 106 const Size classifierSize = classifier->windowSize(&dx, &dy);
107 107  
108 108 for (double factor = 1; ; factor *= scaleFactor) {
109   - // TODO: This should support non-square sizes
110   - // Compute the size of the window in which we will detect faces
111   - const Size detectionSize(cvRound(minSize*factor),cvRound(minSize*factor));
  109 + // TODO: This should support non-square sizes
  110 + // Compute the size of the window in which we will detect faces
  111 + const Size detectionSize(cvRound(minSize*factor),cvRound(minSize*factor));
112 112  
113   - // Stop if detection size is bigger than the image itself
114   - if (detectionSize.width > imageSize.width || detectionSize.height > imageSize.height)
115   - break;
  113 + // Stop if detection size is bigger than the image itself
  114 + if (detectionSize.width > imageSize.width || detectionSize.height > imageSize.height)
  115 + break;
116 116  
117   - const float widthScale = (float)classifierSize.width/detectionSize.width;
118   - const float heightScale = (float)classifierSize.height/detectionSize.height;
119   -
120   - // Scale the image such that the detection size within the image corresponds to the respresentation size
  117 + const float widthScale = (float)classifierSize.width/detectionSize.width;
  118 + const float heightScale = (float)classifierSize.height/detectionSize.height;
  119 +
  120 + // Scale the image such that the detection size within the image corresponds to the respresentation size
121 121 const Size scaledImageSize(cvRound(imageSize.width*widthScale), cvRound(imageSize.height*heightScale));
122 122  
123 123 Template rep(t.file);
... ...