comparison modules-and-plug-ins/python-module/btrack_python_module.cpp @ 54:9699024bb3d0

Before this commit, the OnsetDetectionFunction class used double precision, and the BTrack class used floats. I have now made BTrack use double precision also. This works fine and the only cost of doing this is that we have to perform one array copy into floating point format so that sample rate conversion (which has to be in floating point format) can take place.

     //b.setparams(0.9,5);
     
     double df[numframes];
     double beats[5000];
     int beatnum = 0;
-    float df_val;
+
+    double df_val;
     
     ///////////////////////////////////////////
 	//////// Begin Processing Loop ////////////
 	
 	for (int i=0;i < numframes;i++)

 			buffer[n] = data[(i*hsize)+n];
 		}
 		
 		df[i] = onset.getDFsample(buffer);
         
-        df_val = (float) (df[i] + 0.0001);
+        df_val = df[i] + 0.0001;
                 
 		b.process(df_val);				// process df sample in beat tracker
 		
 		if (b.playbeat == 1)
 		{

 	// set parameters
     //b.setparams(0.9,5);
     
     double beats[5000];
     int beatnum = 0;
-    float df_val;
+    double df_val;
     
     ///////////////////////////////////////////
 	//////// Begin Processing Loop ////////////
 	
 	for (long i=0;i < numframes;i++)
 	{		
-        df_val = (float) (data[i] + 0.0001);
+        df_val = data[i] + 0.0001;
         
 		b.process(df_val);				// process df sample in beat tracker
 		
 		if (b.playbeat == 1)
 		{