YOLO

Installation

• Fist, we install OpenCV:

OpenCV installation in Ubuntu 16.04

sudo apt-get update
sudo apt-get upgrade
sudo apt-get install build-essential cmake pkg-config
sudo apt-get install libjpeg8-dev libtiff5-dev libjasper-dev libpng12-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
sudo apt-get install libxvidcore-dev libx264-dev
sudo apt-get install libgtk-3-dev
sudo apt-get install libatlas-base-dev gfortran
sudo apt-get install python2.7-dev python3.5-dev

• Guide:
• https://www.pyimagesearch.com/2016/10/24/ubuntu-16-04-how-to-install-opencv/

Installing Darknet (GPU + OpenCV)

• In our forked version of the original repository, the GPU & OPENCV flags in the Makefile have already been set to 1, and the darknet/examples/rnn.c has been modified for being able to save the generate your own model. So we only need to do:

git clone https://github.com/mywdka/darknet.git
cd darknet
make

• Guide:
• https://pjreddie.com/darknet/install/

Using YOLO with Darknet (GPU + OpenCV). Tested on Ubuntu 16.04

• Download the weights:

wget https://pjreddie.com/media/files/yolov3.weights

• Go to the directory:

cd darknet

• Run the detector (image):

./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg

• Run the detector (video):

./darknet detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights <video file>

• Run the detector (webcam):

./darknet detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights

• Guide:
• https://pjreddie.com/darknet/yolo/