string input and flir test

src/Conv2d.cpp

@@ -6,7 +6,7 @@ namespace tk { namespace dnn {
 
 Conv2d::Conv2d( Network *net, int out_ch, int kernelH, int kernelW, 
                 int strideH, int strideW, int paddingH, int paddingW,
-                const char* fname_weights, bool batchnorm) : 
+                std::string fname_weights, bool batchnorm) : 
     
     LayerWgs(net, net->getOutputDim().c, out_ch, kernelH, kernelW, 1, 
              fname_weights, batchnorm) {

src/Dense.cpp

@@ -4,7 +4,7 @@
 
 namespace tk { namespace dnn {
 
-Dense::Dense(Network *net, int out_ch, const char* fname_weights) : 
+Dense::Dense(Network *net, int out_ch, std::string fname_weights) : 
     LayerWgs(net, net->getOutputDim().tot(), out_ch, 1, 1, 1, fname_weights) {
 
     output_dim.n = 1;

src/LayerWgs.cpp

@@ -8,7 +8,7 @@ namespace tk { namespace dnn {
 
 LayerWgs::LayerWgs(Network *net, int inputs, int outputs, 
                    int kh, int kw, int kl, 
-                   const char* fname_weights, bool batchnorm) : Layer(net) {
+                   std::string fname_weights, bool batchnorm) : Layer(net) {
 
     this->inputs  = inputs;
     this->outputs = outputs;    

src/Region.cpp

@@ -66,7 +66,7 @@ dnnType* Region::infer(dataDim_t &dim, dnnType* srcData) {
 
 /* Intepret class */
 RegionInterpret::RegionInterpret(dataDim_t input_dim, dataDim_t output_dim, 
-    int classes, int coords, int num, float thresh, const char* fname_weights) {
+    int classes, int coords, int num, float thresh, std::string fname_weights) {
 
     this->input_dim = input_dim;
     this->output_dim = output_dim;

src/Yolo.cpp

@@ -11,14 +11,14 @@
 
 namespace tk { namespace dnn {
 
-Yolo::Yolo(Network *net, int classes, int num, const char* fname_weights) : 
+Yolo::Yolo(Network *net, int classes, int num, std::string fname_weights) : 
     Layer(net) {
     
     this->classes = classes;
     this->num = num;
 
     // load anchors
-    if(fname_weights != nullptr) {
+    if(fname_weights != "") {
         int seek = 0;
         readBinaryFile(fname_weights, num, &mask_h, &mask_d, seek);
         seek += num;

src/Yolo3Detection.cpp

@@ -32,7 +32,7 @@ bool Yolo3Detection::init(std::string tensor_path) {
         num = yRT->num;
 
         // make a yolo layer for interpret predictions
-        yolo[i] = new tk::dnn::Yolo(nullptr, classes, num, nullptr); // yolo without input and bias
+        yolo[i] = new tk::dnn::Yolo(nullptr, classes, num, ""); // yolo without input and bias
         yolo[i]->mask_h = new dnnType[num];
         yolo[i]->bias_h = new dnnType[num*3*2];
         memcpy(yolo[i]->mask_h, yRT->mask, sizeof(dnnType)*num);

src/utils.cpp

@@ -21,7 +21,7 @@ bool fileExist(const char *fname) {
 }
 
 
-void readBinaryFile(const char* fname, int size, dnnType** data_h, dnnType** data_d, int seek)
+void readBinaryFile(std::string fname, int size, dnnType** data_h, dnnType** data_d, int seek)
 {
     std::ifstream dataFile (fname, std::ios::in | std::ios::binary);
     std::stringstream error_s;