added Hardware info to README.md and minor clean up in main.cpp

Author: nwesem

README.md

@@ -9,6 +9,12 @@ layer of the FaceNet model. Link to the repo:
 Moreover, this project uses an adapted version of [PKUZHOU's implementation](https://github.com/PKUZHOU/MTCNN_FaceDetection_TensorRT)
 of the mtCNN for face detection. More info below.
 
+## Hardware
+* NVIDIA Jetson Nano
+* Raspberry Pi v2 camera 
+
+If you want to use a USB camera instead of Raspi Camera set the boolean _isCSICam_ to false in [main.cpp](./src/main.cpp).
+
 
 ## Dependencies
 cuda 10.0 + cudnn 7.5 <br> TensorRT 5.1.x <br> OpenCV 3.x <br>
@@ -115,6 +121,8 @@ Performance on **NVIDIA Jetson AGX Xavier**:
 Please respect all licenses of OpenCV and the data the machine learning models (mtCNN and Google FaceNet)
 were trained on.
 
+
+
 ## Info
 Niclas Wesemann <br>
 [[email protected]](mailto:[email protected]) <br>

src/step02_main.cpp src/main.cpp

@@ -26,7 +26,7 @@ int main()
     // USER DEFINED VALUES
     const string uffFile="../facenetModels/facenet.uff";
     const string engineFile="../facenetModels/facenet.engine";
-    DataType dtype = DataType::kHALF;       // ToDo calibrator for INT8
+    DataType dtype = DataType::kHALF;
     //DataType dtype = DataType::kFLOAT;
     bool serializeEngine = true;
     int batchSize = 1;