All modules (except ocl and gpu) compiles and pass tests
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@@ -109,7 +109,7 @@ public:
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float operator() (const cv::Mat& integrals, const cv::Size& model) const;
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friend void write(cv::FileStorage& fs, const std::string&, const ChannelFeature& f);
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friend void write(cv::FileStorage& fs, const cv::String&, const ChannelFeature& f);
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friend std::ostream& operator<<(std::ostream& out, const ChannelFeature& f);
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private:
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@@ -117,7 +117,7 @@ private:
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int channel;
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};
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void write(cv::FileStorage& fs, const std::string&, const ChannelFeature& f);
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void write(cv::FileStorage& fs, const cv::String&, const ChannelFeature& f);
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std::ostream& operator<<(std::ostream& out, const ChannelFeature& m);
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// ========================================================================== //
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@@ -135,7 +135,7 @@ public:
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CV_WRAP virtual int totalChannels() const = 0;
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virtual cv::AlgorithmInfo* info() const = 0;
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CV_WRAP static cv::Ptr<ChannelFeatureBuilder> create(const std::string& featureType);
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CV_WRAP static cv::Ptr<ChannelFeatureBuilder> create(const cv::String& featureType);
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};
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// ========================================================================== //
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@@ -211,7 +211,7 @@ public:
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virtual bool train(const Dataset* dataset, const FeaturePool* pool, int weaks, int treeDepth) = 0;
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virtual void setRejectThresholds(OutputArray thresholds) = 0;
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virtual void write( cv::FileStorage &fs, const FeaturePool* pool, InputArray thresholds) const = 0;
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virtual void write( CvFileStorage* fs, std::string name) const = 0;
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virtual void write( CvFileStorage* fs, cv::String name) const = 0;
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};
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CV_EXPORTS bool initModule_softcascade(void);
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