Minor change.

README.md

@@ -28,14 +28,6 @@ This software is built on the Robotic Operating System ([ROS]), which needs to b
 
 [![Build Status](https://ci.leggedrobotics.com/buildStatus/icon?job=github_leggedrobotics/darknet_ros/master)](https://ci.leggedrobotics.com/job/github_leggedrobotics/job/darknet_ros/job/master/)
 
-Darknet on the CPU is fast (approximately 1.5 seconds on an Intel Core i7-6700HQ CPU @ 2.60GHz × 8) but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. The CMakeLists.txt file automatically detects if you have CUDA installed or not. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. If you do not have CUDA on your System the build process will switch to the CPU version of YOLO. If you are compiling with CUDA, you might receive the following build error:
-
-    nvcc fatal : Unsupported gpu architecture 'compute_61'.
-
-This means that you need to check the compute capability (version) of your GPU. You can find a list of supported GPUs in CUDA here: [CUDA - WIKIPEDIA](https://en.wikipedia.org/wiki/CUDA#Supported_GPUs). Simply find the compute capability of your GPU and add it into darknet_ros/CMakeLists.txt. Simply add a similar line like
-
-    -O3 -gencode arch=compute_62,code=sm_62
-
 In order to install darknet_ros, clone the latest version from this repository into your catkin workspace and compile the package using ROS.
 
     cd catkin_workspace/src
@@ -50,6 +42,14 @@ or using the [Catkin Command Line Tools](http://catkin-tools.readthedocs.io/en/l
 
     catkin build darknet_ros -DCMAKE_BUILD_TYPE=Release
 
+Darknet on the CPU is fast (approximately 1.5 seconds on an Intel Core i7-6700HQ CPU @ 2.60GHz × 8) but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. The CMakeLists.txt file automatically detects if you have CUDA installed or not. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. If you do not have CUDA on your System the build process will switch to the CPU version of YOLO. If you are compiling with CUDA, you might receive the following build error:
+
+    nvcc fatal : Unsupported gpu architecture 'compute_61'.
+
+This means that you need to check the compute capability (version) of your GPU. You can find a list of supported GPUs in CUDA here: [CUDA - WIKIPEDIA](https://en.wikipedia.org/wiki/CUDA#Supported_GPUs). Simply find the compute capability of your GPU and add it into darknet_ros/CMakeLists.txt. Simply add a similar line like
+
+    -O3 -gencode arch=compute_62,code=sm_62
+
 ### Download weights
 
 The yolo-voc.weights and tiny-yolo-voc.weights are downloaded automatically in the CMakeLists.txt file. If you need to download them again, go into the weights folder and download the two pre-trained weights from the VOC data set: