Added YOLO description to Readme

README.md

@@ -43,7 +43,9 @@ Hungarian algorithm + Kalman filter multitarget tracker implementation.
 1. Download project sources
 2. Install CMake
 3. Install OpenCV (https://github.com/opencv/opencv) and OpenCV contrib (https://github.com/opencv/opencv_contrib) repositories
-4. Configure project CmakeLists.txt, set OpenCV_DIR. If opencv_contrib don't installed then set disable options USE_OCV_BGFG, USE_OCV_KCF and USE_OCV_UKF
+4. Configure project CmakeLists.txt, set OpenCV_DIR.
+4.1. If opencv_contrib don't installed then set disable options USE_OCV_BGFG, USE_OCV_KCF and USE_OCV_UKF
+4.2. If you want to use native YOLO detector with CUDA + cuDNN then set BUILD_YOLO_LIB=ON
 5. Go to the build directory and run make
 
 **Usage:**