removed hard codinginput parameters

modules/text/src/ocr_holistic.cpp

@@ -271,9 +271,9 @@ protected:
     //Size outputGeometry_;//= Size(1,1);
     //int channelCount_;
    // int inputChannel_ ;//=1;
-    //const int _inputHeight =32;
+    int _inputHeight;
-    //const int _inputWidth =100;
+    int _inputWidth ;
-    //const int _inputChannel =1;
+    int _inputChannel ;
 public:
     DeepCNNOpenCvDNNImpl(const DeepCNNOpenCvDNNImpl& dn):
         minibatchSz_(dn.minibatchSz_),outputSize_(dn.outputSize_){
@@ -300,8 +300,8 @@ public:
         //Implemented to supress Visual Studio warning "assignment operator could not be generated"
     }
 
-    DeepCNNOpenCvDNNImpl(String modelArchFilename, String modelWeightsFilename,Ptr<ImagePreprocessor> preprocessor, int maxMinibatchSz,int inputWidth =100,int inputHeight = 32)
+    DeepCNNOpenCvDNNImpl(String modelArchFilename, String modelWeightsFilename,Ptr<ImagePreprocessor> preprocessor, int maxMinibatchSz,int inputWidth =100,int inputHeight = 32,int inputChannel =1)
-        :minibatchSz_(maxMinibatchSz),_inputWidth(inputWidth),_inputHeight(inputHeight)
+        :minibatchSz_(maxMinibatchSz),_inputWidth(inputWidth),_inputHeight(inputHeight),_inputChannel(inputChannel)
     {
 
         CV_Assert(this->minibatchSz_>0);
@@ -612,13 +612,13 @@ public:
         this->classifier_->classifyBatch(inputImageList,netOutput);
 
         for(int k=0;k<netOutput.rows;k++)
-        {https://www.google.es/?gfe_rd=cr&dcr=0&ei=4fq7We8Bk9jyB8zPp5AL
+        {
             int classNum;
             double confidence;
             NetOutput::getClassification((float*)(netOutput.row(k).data),this->classifier_->getOutputSize(),classNum,confidence);
             transcriptionVec.push_back(this->labels_[classNum]);
             confidenceVec.push_back(confidence);
-        }https://www.google.es/?gfe_rd=cr&dcr=0&ei=4fq7We8Bk9jyB8zPp5AL
+        }
     }
 
 

modules/text/src/text_detectorCNN.cpp

@@ -252,9 +252,9 @@ protected:
     //Size inputGeometry_;
     int minibatchSz_;//The existence of the assignment operator mandates this to be nonconst
     //int outputSize_;
-    const int _inputHeight =700;
+    int inputHeight_;
-    const int _inputWidth =700;
+    int inputWidth_;
-    const int _inputChannel =3;
+    int inputChannel_;
 public:
     DeepCNNTextDetectorDNNImpl(const DeepCNNTextDetectorDNNImpl& dn):
         minibatchSz_(dn.minibatchSz_){
@@ -282,8 +282,8 @@ public:
         //Implemented to supress Visual Studio warning "assignment operator could not be generated"
     }
 
-    DeepCNNTextDetectorDNNImpl(String modelArchFilename, String modelWeightsFilename,Ptr<ImagePreprocessor> preprocessor, int maxMinibatchSz)
+    DeepCNNTextDetectorDNNImpl(String modelArchFilename, String modelWeightsFilename,Ptr<ImagePreprocessor> preprocessor, int maxMinibatchSz,int inputHeight=700,int inputWidth =700,int inputChannel =3)
-        :minibatchSz_(maxMinibatchSz)
+        :minibatchSz_(maxMinibatchSz),inputHeight_(inputHeight),inputWidth_(inputWidth),inputChannel_(inputChannel)
     {
 
         CV_Assert(this->minibatchSz_>0);
@@ -304,9 +304,9 @@ public:
             exit(-1);
         }
 
-        this->inputGeometry_.height =_inputHeight;
+        this->inputGeometry_.height =inputHeight_;
-        this->inputGeometry_.width = _inputWidth ;//inputLayer->width();
+        this->inputGeometry_.width = inputWidth_ ;//inputLayer->width();
-        this->inputChannelCount_ = _inputChannel ;//inputLayer->channels();
+        this->inputChannelCount_ = inputChannel_ ;//inputLayer->channels();
 
 #else
         CV_Error(Error::StsError,"DNN module not available during compilation!");