Merge pull request #22 from ErickOF/feature-filter_module

Improving filter module code

Author: ErickOF

modules/filter/include/ips_filter_at_model.hpp

@@ -93,15 +93,15 @@ void Filter<IN, OUT, N>::exec_filter()
     wait(this->event);
 
     // Default value for the result depending on the output datatype
-    result_tmp = (OUT) 0;
+    result_tmp = static_cast<OUT >(0);
 
     // Getting the image window to filter
     IN* img_window_tmp = this->img_window.read();
 
     // Perform the convolution
     for (i = 0; i < N; ++i)
       for (j = 0; j < N; ++j)
-        result_tmp += this->kernel[i * N + j] * ((OUT) img_window_tmp[i * N + j]);
+        result_tmp += this->kernel[i * N + j] * static_cast<OUT >(img_window_tmp[i * N + j]);
 
     this->result.write(result_tmp);
   }
@@ -128,7 +128,7 @@ void Filter<IN, OUT, N>::init()
 {
   // Init a kernel of N x N with default value of 1 / (N * N)
   this->kernel = new OUT[N * N];
-  std::fill_n(this->kernel, N * N, ((OUT) 1) / ((OUT) N * N));
+  std::fill_n(this->kernel, N * N, static_cast<OUT >(1) / static_cast<OUT >(N * N));
 
 #ifdef IPS_DEBUG_EN
   // Print the initialized kernel

modules/filter/include/ips_filter_lt_model.hpp

@@ -91,7 +91,7 @@ void Filter<IN, OUT, N>::exec_filter()
     wait(this->event);
 
     // Default value for the result depending on the output datatype
-    *(this->result_ptr) = (OUT) 0;
+    *(this->result_ptr) = static_cast<OUT >(0);
 
     // Perform the convolution
     for (i = 0; i < N; ++i)
@@ -118,7 +118,7 @@ void Filter<IN, OUT, N>::filter(IN* img_window, OUT* result)
   // Perform the convolution
   for (i = 0; i < N; ++i)
     for (j = 0; j < N; ++j)
-        this->img_window_tmp[i * N + j] = (OUT) img_window[i * N + j];
+        this->img_window_tmp[i * N + j] = static_cast<OUT >(img_window[i * N + j]);
 
   this->event.notify(DELAY_TIME, SC_NS);
 }
@@ -132,7 +132,7 @@ void Filter<IN, OUT, N>::init()
 {
   // Init a kernel of N x N with default value of 1 / (N * N)
   this->kernel = new OUT[N * N];
-  std::fill_n(this->kernel, N * N, ((OUT) 1) / ((OUT) N * N));
+  std::fill_n(this->kernel, N * N, static_cast<OUT >(1) / static_cast<OUT > (N * N));
   // Init image window of N x N with default value of 1 / (N * N)
   this->img_window_tmp = new OUT[N * N];
 #ifdef IPS_DEBUG_EN

modules/filter/include/ips_filter_pv_model.hpp

@@ -73,12 +73,12 @@ void Filter<IN, OUT, N>::filter(IN* img_window, OUT& result)
   size_t j;
 
   // Default value for the result depending on the output datatype
-  result = (OUT) 0;
+  result = static_cast<OUT >(0);
 
   // Perform the convolution
   for (i = 0; i < N; ++i)
     for (j = 0; j < N; ++j)
-      result += this->kernel[i * N + j] * ((OUT) img_window[i * N + j]);
+      result += this->kernel[i * N + j] * static_cast<OUT >(img_window[i * N + j]);
 }
 
 /**
@@ -90,7 +90,7 @@ void Filter<IN, OUT, N>::init_kernel()
 {
   // Init a kernel of N x N with default value of 1 / (N * N)
   this->kernel = new OUT[N * N];
-  std::fill_n(this->kernel, N * N, ((OUT) 1) / ((OUT) N * N));
+  std::fill_n(this->kernel, N * N, static_cast<OUT >(1) / static_cast<OUT >(N * N));
 #ifdef IPS_DEBUG_EN
   // Print the initialized kernel
   SC_REPORT_INFO(this->name(), "init_kernel result");