Drop cv:: prefix from cv::String used inside the cv namespace
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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 cv::String&, const ChannelFeature& f);
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friend void write(cv::FileStorage& fs, const 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 cv::String&, const ChannelFeature& f);
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void write(cv::FileStorage& fs, const 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 cv::String& featureType);
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CV_WRAP static cv::Ptr<ChannelFeatureBuilder> create(const 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, cv::String name) const = 0;
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virtual void write( CvFileStorage* fs, String name) const = 0;
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};
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CV_EXPORTS bool initModule_softcascade(void);
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@@ -240,7 +240,7 @@ struct cv::softcascade::Detector::Fields
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typedef std::vector<SOctave>::iterator octIt_t;
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typedef std::vector<Detection> dvector;
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cv::String featureTypeStr;
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String featureTypeStr;
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void detectAt(const int dx, const int dy, const Level& level, const ChannelStorage& storage, dvector& detections) const
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{
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@@ -364,14 +364,14 @@ struct cv::softcascade::Detector::Fields
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static const char *const FEATURE_FORMAT = "featureFormat";
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// only Ada Boost supported
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cv::String stageTypeStr = (cv::String)root[SC_STAGE_TYPE];
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String stageTypeStr = (String)root[SC_STAGE_TYPE];
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CV_Assert(stageTypeStr == SC_BOOST);
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cv::String fformat = (cv::String)root[FEATURE_FORMAT];
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String fformat = (String)root[FEATURE_FORMAT];
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bool useBoxes = (fformat == "BOX");
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// only HOG-like integral channel features supported
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featureTypeStr = (cv::String)root[SC_FEATURE_TYPE];
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featureTypeStr = (String)root[SC_FEATURE_TYPE];
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CV_Assert(featureTypeStr == SC_ICF || featureTypeStr == SC_HOG6_MAG_LUV);
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origObjWidth = (int)root[SC_ORIG_W];
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@@ -136,17 +136,17 @@ struct cv::softcascade::SCascade::Fields
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static const char *const SC_F_RECT = "rect";
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// only Ada Boost supported
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cv::String stageTypeStr = (cv::String)root[SC_STAGE_TYPE];
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String stageTypeStr = (String)root[SC_STAGE_TYPE];
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CV_Assert(stageTypeStr == SC_BOOST);
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// only HOG-like integral channel features supported
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cv::String featureTypeStr = (cv::String)root[SC_FEATURE_TYPE];
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String featureTypeStr = (String)root[SC_FEATURE_TYPE];
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CV_Assert(featureTypeStr == SC_ICF);
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int origWidth = (int)root[SC_ORIG_W];
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int origHeight = (int)root[SC_ORIG_H];
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cv::String fformat = (cv::String)root[SC_FEATURE_FORMAT];
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String fformat = (String)root[SC_FEATURE_FORMAT];
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bool useBoxes = (fformat == "BOX");
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ushort shrinkage = cv::saturate_cast<ushort>((int)root[SC_SHRINKAGE]);
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