include/tkDNN/Network.h

@@ -1,6 +1,7 @@
 #ifndef NETWORK_H
 #define NETWORK_H
 
+#include <string>
 #include "utils.h"
 
 namespace tk { namespace dnn {
@@ -62,6 +63,8 @@ public:
 
     bool fp16, dla, int8;
     bool dontLoadWeights;
+    std::string fileImgList;
+    std::string fileLabelList;
 };
 
 }}

src/Network.cpp

@@ -34,6 +34,12 @@ Network::Network(dataDim_t input_dim) {
             int8 = true;
         }
     }
+    if(const char* env_p = std::getenv("TKDNN_CALIB_IMG_PATH"))
+        fileImgList = env_p;
+    
+    if(const char* env_p = std::getenv("TKDNN_CALIB_LABEL_PATH"))
+        fileLabelList = env_p;
+    
    
     if(fp16)
         std::cout<<COL_REDB<<"!! FP16 INFERENCE ENABLED !!"<<COL_END<<"\n";

src/NetworkRT.cpp

@@ -73,8 +73,7 @@ NetworkRT::NetworkRT(Network *net, const char *name) {
             // builderRT->setInt8Mode(true);
             configRT->setFlag(BuilderFlag::kINT8);
             BatchStream calibrationStream(dim, 1, 100,      //TODO: check if 100 images are sufficient to the calibration (or 4951) 
-                                            "/home/xavier/Documents/tkDNN/demo/COCO_val2017/all_images.txt", 
-                                            "/home/xavier/Documents/tkDNN/demo/COCO_val2017/all_labels.txt");
+                                            net->fileImgList, net->fileLabelList);
             std::string modelName = name;
             calibrator.reset(new Int8EntropyCalibrator(calibrationStream, 1, 
                                             "./" + modelName.substr(0, modelName.find('.')) + "-calibration.table",