Darknet YOLO with ROS 1

Build:

Make a directory ROS1_WS to act as your ROS 1 workspace.
```
$ mkdir -p ~/ROS1_WS/src/
```

Clone this repository:

$ git clone https://github.com/Tinker-Twins/YOLO-ROS-1.git

$ sudo apt update
$ sudo apt install libopencv-dev python3-opencv

Build boost.

$ cd YOLO-ROS-1/boost
$ ./bootstrap.sh
$ ./b2 headers

Build the ROS packages (build in Release mode to maximize performance).
```
$ cd ~/ROS1_WS
$ catkin_make -DCMAKE_BUILD_TYPE=Release
```

Source the setup.bash file of your ROS1_WS.

$ echo "source ~/ROS1_WS/devel/setup.bash" >> ~/.bashrc
$ source ~/.bashrc

$ roslaunch darknet_ros darknet_ros.launch

Names and other parameters of the publishers, subscribers and actions can be modified from darknet_ros/darknet_ros/config/ros.yaml.
Parameters related to YOLO object detection algorithm can be modified from darknet_ros/darknet_ros/config/yolo.yaml.
It is recommended to create a copy of the existing configuration file(s) as a template and do necessary modifications.
Reference the updated configuration file(s) in darknet_ros/darknet_ros/launch/darknet_ros.launch or create new launch file(s).