Commit 4fab7f69ddc82d6ba40a73fc6233e3cc9871473e

Authored by Jordan Cheney
1 parent 8b1dd002

Revert to old classification method to avoid regression

openbr/plugins/classification/boostedforest.cpp
... ... @@ -118,7 +118,7 @@ class BoostedForestClassifier : public Classifier
118 118 featureEvaluator.setImage(images[i], labels[i], i);
119 119  
120 120 CascadeBoost boost;
121   - boost.train(&featureEvaluator, images.size(), 1024, 1024, params);
  121 + boost.train(&featureEvaluator, images.size(), 2048, 2048, params);
122 122  
123 123 // Convert into simpler, cleaner cascade after training
124 124 threshold = boost.getThreshold();
... ... @@ -151,8 +151,8 @@ class BoostedForestClassifier : public Classifier
151 151 }
152 152  
153 153 if (sum < threshold)
154   - return -std::abs(sum);
155   - return std::abs(sum);
  154 + return 0.0f; //-std::abs(sum);
  155 + return 1.0f; //std::abs(sum);
156 156 }
157 157  
158 158 int numFeatures() const
... ...
openbr/plugins/classification/cascade.cpp
... ... @@ -157,7 +157,12 @@ class CascadeClassifier : public Classifier
157 157  
158 158 float classify(const Mat &image) const
159 159 {
160   - if (stages.size() == 0) // special case for empty cascade
  160 + foreach (const Classifier *stage, stages)
  161 + if (stage->classify(image) == 0)
  162 + return 0.0f;
  163 + return 1.0f;
  164 +
  165 + /*if (stages.size() == 0) // special case for empty cascade
161 166 return 1.0f;
162 167  
163 168 float result = 0.0f;
... ... @@ -167,7 +172,7 @@ class CascadeClassifier : public Classifier
167 172 if (result < 0)
168 173 return stageIdx > (stages.size() - 4) ? stageIdx * result : 0.0f;
169 174 }
170   - return std::abs(stages.size() * result);
  175 + return std::abs(stages.size() * result);*/
171 176 }
172 177  
173 178 int numFeatures() const
... ...