Merge branch 'add_prob_result_bayes_classifier', remote-tracking branch 'upstream/master' into add_prob_result_bayes_classifier
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commit
e6f86ea39d
@ -242,7 +242,7 @@ Predicts the response for input sample(s).
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.. ocv:function:: float CvSVM::predict( const CvMat* sample, bool returnDFVal=false ) const
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.. ocv:function:: float CvSVM::predict( const CvMat* samples, CvMat* results ) const
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.. ocv:function:: float CvSVM::predict( const CvMat* samples, CvMat* results, bool returnDFVal=false ) const
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.. ocv:pyfunction:: cv2.SVM.predict(sample[, returnDFVal]) -> retval
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@ -490,7 +490,7 @@ public:
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bool balanced=false );
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virtual float predict( const CvMat* sample, bool returnDFVal=false ) const;
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virtual float predict( const CvMat* samples, CV_OUT CvMat* results ) const;
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virtual float predict( const CvMat* samples, CV_OUT CvMat* results, bool returnDFVal=false ) const;
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CV_WRAP CvSVM( const cv::Mat& trainData, const cv::Mat& responses,
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const cv::Mat& varIdx=cv::Mat(), const cv::Mat& sampleIdx=cv::Mat(),
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@ -2194,18 +2194,20 @@ float CvSVM::predict( const CvMat* sample, bool returnDFVal ) const
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}
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struct predict_body_svm : ParallelLoopBody {
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predict_body_svm(const CvSVM* _pointer, float* _result, const CvMat* _samples, CvMat* _results)
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predict_body_svm(const CvSVM* _pointer, float* _result, const CvMat* _samples, CvMat* _results, bool _returnDFVal)
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{
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pointer = _pointer;
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result = _result;
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samples = _samples;
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results = _results;
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returnDFVal = _returnDFVal;
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}
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const CvSVM* pointer;
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float* result;
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const CvMat* samples;
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CvMat* results;
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bool returnDFVal;
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void operator()( const cv::Range& range ) const
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{
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@ -2213,7 +2215,7 @@ struct predict_body_svm : ParallelLoopBody {
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{
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CvMat sample;
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cvGetRow( samples, &sample, i );
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int r = (int)pointer->predict(&sample);
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int r = (int)pointer->predict(&sample, returnDFVal);
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if (results)
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results->data.fl[i] = (float)r;
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if (i == 0)
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@ -2222,11 +2224,11 @@ struct predict_body_svm : ParallelLoopBody {
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}
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};
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float CvSVM::predict(const CvMat* samples, CV_OUT CvMat* results) const
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float CvSVM::predict(const CvMat* samples, CV_OUT CvMat* results, bool returnDFVal) const
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{
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float result = 0;
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cv::parallel_for_(cv::Range(0, samples->rows),
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predict_body_svm(this, &result, samples, results)
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predict_body_svm(this, &result, samples, results, returnDFVal)
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);
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return result;
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}
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@ -14,7 +14,7 @@ void get_svm_detector(const SVM& svm, vector< float > & hog_detector );
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void convert_to_ml(const std::vector< cv::Mat > & train_samples, cv::Mat& trainData );
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void load_images( const string & prefix, const string & filename, vector< Mat > & img_lst );
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void sample_neg( const vector< Mat > & full_neg_lst, vector< Mat > & neg_lst, const Size & size );
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Mat get_hogdescriptor_visu(Mat& color_origImg, vector<float>& descriptorValues, const Size & size );
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Mat get_hogdescriptor_visu(const Mat& color_origImg, vector<float>& descriptorValues, const Size & size );
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void compute_hog( const vector< Mat > & img_lst, vector< Mat > & gradient_lst, const Size & size );
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void train_svm( const vector< Mat > & gradient_lst, const vector< int > & labels );
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void draw_locations( Mat & img, const vector< Rect > & locations, const Scalar & color );
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@ -155,7 +155,7 @@ void sample_neg( const vector< Mat > & full_neg_lst, vector< Mat > & neg_lst, co
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}
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// From http://www.juergenwiki.de/work/wiki/doku.php?id=public:hog_descriptor_computation_and_visualization
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Mat get_hogdescriptor_visu(Mat& color_origImg, vector<float>& descriptorValues, const Size & size )
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Mat get_hogdescriptor_visu(const Mat& color_origImg, vector<float>& descriptorValues, const Size & size )
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{
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const int DIMX = size.width;
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const int DIMY = size.height;
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