merge with master

demo/demo/demo.cpp

@@ -23,6 +23,7 @@
 #define MAX_DETECT_SIZE 100
 
 bool gRun;
+std::string obj_class[10]{"person", "car", "truck", "bus", "motor", "bike", "rider", "traffic light", "traffic sign", "train"};
 
 cv::Mat frame_v;
 cv::Mat frame_top_v;
@@ -205,24 +206,30 @@ int main(int argc, char *argv[])
             int x1 = b.x + b.w;
             int y0 = b.y;
             int y1 = b.y + b.h;
-            int obj_class = b.cl;
+            int objClass = b.cl;
+            std::string det_class = obj_class[b.cl];
+            float prob = b.prob;
 
             cv::Scalar intensity = mask.at<uchar>(cv::Point(int(x0 + b.w / 2), y1));
 
             if (intensity[0])
             {
 
-                if (obj_class == 0 /*person*/ || obj_class == 1 /*bicycle*/ || obj_class == 2 /*car*/
+                if (objClass < 6)
-                    || obj_class == 3 /*motorbike*/ || obj_class == 5 /*bus*/)
                 {
-                    convert_coords(coords, coord_i, x0 + b.w / 2, y1, obj_class, H, adfGeoTransform, frame_nbr);
+                    convert_coords(coords, coord_i, x0 + b.w / 2, y1, objClass, H, adfGeoTransform, frame_nbr);
                     coord_i++;
+
+                    //std::cout<<objClass<<" ("<<prob<<"): "<<x0<<" "<<y0<<" "<<x1<<" "<<y1<<"\n";
+                    cv::rectangle(frame, cv::Point(x0, y0), cv::Point(x1, y1), yolo.colors[objClass], 2);
+                    // draw label
+                    int baseline = 0;
+                    float fontScale = 0.5;
+                    int thickness = 2;
+                    cv::Size textSize = getTextSize(det_class, cv::FONT_HERSHEY_SIMPLEX, fontScale, thickness, &baseline);
+                    cv::rectangle(frame, cv::Point(x0, y0), cv::Point((x0 + textSize.width - 2), (y0 - textSize.height - 2)), yolo.colors[b.cl], -1);
+                    cv::putText(frame, det_class, cv::Point(x0, (y0 - (baseline / 2))), cv::FONT_HERSHEY_SIMPLEX, fontScale, cv::Scalar(255, 255, 255), thickness);
                 }
-
-                float prob = b.prob;
-
-                //std::cout<<obj_class<<" ("<<prob<<"): "<<x0<<" "<<y0<<" "<<x1<<" "<<y1<<"\n";
-                cv::rectangle(frame, cv::Point(x0, y0), cv::Point(x1, y1), yolo.colors[obj_class], 2);
             }
         }
 

include/Network.h

@@ -59,7 +59,7 @@ public:
     dataDim_t input_dim;
     dataDim_t getOutputDim();
 
-    bool fp16;
+    bool fp16, dla;
 };
 
 }}

src/Network.cpp

@@ -24,12 +24,20 @@ Network::Network(dataDim_t input_dim) {
     num_layers = 0;
 
     fp16 = false;
-    if(const char* env_p = std::getenv("TKDNN_MODE"))
+    dla = false;
+    if(const char* env_p = std::getenv("TKDNN_MODE")) {
         if(strcmp(env_p, "FP16") == 0)
             fp16 = true;
+	else if(strcmp(env_p, "DLA") == 0) {
+    	    dla = true;
+	    fp16 = true;	
+	}
+    }
    
     if(fp16)
         std::cout<<COL_REDB<<"!! FP16 INERENCE ENABLED !!"<<COL_END<<"\n";
+    if(dla)
+        std::cout<<COL_GREENB<<"!! DLA INERENCE ENABLED !!"<<COL_END<<"\n";
 }
 
 Network::~Network() {

src/NetworkRT.cpp

@@ -51,7 +51,16 @@ NetworkRT::NetworkRT(Network *net, const char *name) {
             dtRT = DataType::kHALF;
             builderRT->setHalf2Mode(true);
         }
-
+        /*
+        if(net->dla && builderRT->getNbDLACores() > 0) {
+            dtRT = DataType::kHALF;
+            builderRT->setFp16Mode(true);
+            builderRT->allowGPUFallback(true);
+            builderRT->setDefaultDeviceType(DeviceType::kDLA);
+            builderRT->setDLACore(0);
+        }
+        */
+       
         //add input layer
         ITensor *input = networkRT->addInput("data", DataType::kFLOAT, 
                         DimsCHW{ dim.c, dim.h, dim.w});