Download and install DeepStream 2.0

Install GStreamer pre-requisites using:
sudo apt-get install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev

In the Makefile.config file present in the root directory update install paths for all the dependencies

1. Go to the sources/gst-yoloplugin/yoloplugin_lib/data directory and add your yolo .cfg and .weights file.

   For yolo v2,
   Download the config file from the darknet repo located at https://github.com/pjreddie/darknet/blob/master/cfg/yolov2.cfg
   Download the weights file by running the command wget https://pjreddie.com/media/files/yolov2.weights

   For yolo v3,
   Download the config file from the darknet repo located at https://github.com/pjreddie/darknet/blob/master/cfg/yolov3.cfg
   Download the weights file by running the command wget https://pjreddie.com/media/files/yolov3.weights

2. Set the right macro in the network_config.h file to choose a model architecture

3. [OPTIONAL] Update the paths of the .cfg and .weights file and other network params in network_config.cpp file if required.

4. Add absolute paths of images to be used for calibration in the calibration_images.txt file within the sources/gst-yoloplugin/yoloplugin_lib/data directory.

5. Run the following command from sources/gst-yoloplugin/yoloplugin_lib to build and install the plugin
   make && sudo make install

Go to sources/apps/deepstream_yolo and run the following command to build and install the deepstream-yolo-app
make && sudo make install

The DeepStream Yolo App is a sample app similar to the Test-1 & Test-2 apps available in the DeepStream SDK. Using the yolo app we build a sample gstreamer pipeline using various components like H264 parser, Decoder, Video Converter, OSD and Yolo plugin to run inference on an elementary h264 video stream.

Once you have built the deepstream-yolo-app as described above, go to the root directory of this repo and run the command
deepstream-yolo-app /path/to/sample_video.h264

Following steps describe how to run the YOLO plugin in the deepstream-app

1. The section below in the config file corresponds to ds-example(yolo) plugin in deepstream. The config file is located at config/deepstream-app_yolo_config.txt. Make any changes to this section if required.

   [ds-example]
   enable=1
   processing-width=1280
   processing-height=720
   full-frame=1
   unique-id=15
   gpu-id=0
   

2. Update path to the video file source in the URI field under [source0] group of the config file
   uri=file://relative/path/to/source/video

3. Go to the root folder of this repo and run
   deepstream-app -c config/deepstream-app_yolo_config.txt

If you are using the plugin with deepstream-app (located at /usr/bin/deepstream-app), register the yolo plugin as dsexample. To do so, replace line 671 in gstyoloplugin.cpp with
return gst_element_register(plugin, "dsexample", GST_RANK_PRIMARY, GST_TYPE_YOLOPLUGIN);

This registers the plugin with the name dsexample so that the deepstream-app can pick it up and add to it's pipeline. Now go to sources/gst-yoloplugin/ and run the following command to build and install the plugin
make && sudo make install