Steps to use Yolo with Darknet Framework
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Environment Setup Requirements :
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*   Host operating system : Linux, macOS, Windows
*   Os in virtual machine : Ubuntu 18.04 (64-bit)
*   CMake  >= 3.18
*   CUDA   >= 10.2
*   OpenCV >= 2.4
*   cuDNN  >= 8.0.2

########################
Installation:
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1. Update with the command as 
   sudo apt-get update
 

2. Export CUDA Path using following command as: 
   export PATH=/usr/local/cuda-10.2/bin${PATH:+:${PATH}}
   export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}


3. Download the darknet from GitHub
   git clone https://github.com/AlexeyAB/darknet
 

4. Go to the darknet folder through terminal using command as:
   cd darknet
 
  
5. Download Yolo weight files and place it inside darknet folder. Weights corresponsing to Yolo models can be downloded from the available websites using wget commands as:
 
wget https://github.com/AlexeyAB/darknet/releases/download/darknet
_yolo_v4_pre/yolov4-csp.weights
 

6. Download Yolo configuration file corresponding to yolo model using same command and place it inside cfg folder of darknet folder 
 

7. Edit Makefile enabling GPU, CUDNN, OpenCV,ZED_CAMERA and the ARCH field of makefile based on the GPU Architecture. For Agx Xavier it is arch_72



########################
Build:
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Build can be done in two ways:

* Using cmake

.. code-block:: bash
  :linenos:

  cd darknet
  mkdir build_release && cd build_release
  cmake ..


After this we should be able to see the selected GPU architecture.
then use cmake --build . --target install --parallel 8.


* Using Make 
   Just use command make in the darkent folder as :

.. code-block:: bash
  :linenos:

   make
   


########################
Run the Yolo model 
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1. To test the model on the downloded video. 
Download the video and put it in the darknet folder and then using the command as :
./darknet detector deom cfg/coco.data cfg/yolov4-csp.cfg yolov4-csp.weights -ext_output downloadedvideo.mp4.

2. To run the model on th webcam use the command as :
./darknet detector deom cfg/coco.data cfg/yolov4-csp.cfg yolov4-csp.weights -c 0

3. To run the model through zedcamera use the command as :
./uselib cfg/coco.data cfg/yolov4-csp.cfg yolov4-csp.weights zed_camera