Google Cloud Configuration to train YOLO

coco.data

classes=80
train=coco/trainvalno5k.txt
valid=coco/testdev2017.txt
names=data/coco.names
backup=backup/
eval=coco

yolo-config-gcloud.sh

# CHANGE THE FOLLOWING TWO LINES
sudo nano /etc/ssh/sshd_config
# PubkeyAuthentication yes --> no
# PasswordAuthentication no --> yes

# CHANGE YOUR PASSWORD
sudo adduser user
sudo usermod -a -G sudo user
sudo systemctl restart sshd

# [LOGOUT]
sudo reboot

##### OPENCV CONFIGURATION 18.04 LTS CPU #####
sudo apt-get update
sudo apt-get upgrade

sudo apt-get install build-essential cmake unzip pkg-config
sudo apt-get install libjpeg-dev libpng-dev libtiff-dev

sudo add-apt-repository "deb http://security.ubuntu.com/ubuntu xenial-security main"
sudo apt update
sudo apt install libjasper1 libjasper-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 python3.6-dev

cd ~
wget -O opencv.zip https://github.com/opencv/opencv/archive/3.4.4.zip
wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/3.4.4.zip

unzip opencv.zip
unzip opencv_contrib.zip

mv opencv-3.4.4 opencv
mv opencv_contrib-3.4.4 opencv_contrib
wget https://bootstrap.pypa.io/get-pip.py
sudo python3 get-pip.py

sudo pip install virtualenv virtualenvwrapper
sudo rm -rf ~/get-pip.py ~/.cache/pip

export WORKON_HOME=$HOME/.virtualenvs
export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3
source /usr/local/bin/virtualenvwrapper.sh

echo -e "\n# virtualenv and virtualenvwrapper" >> ~/.bashrc
echo "export WORKON_HOME=$HOME/.virtualenvs" >> ~/.bashrc
echo "export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3" >> ~/.bashrc
echo "source /usr/local/bin/virtualenvwrapper.sh" >> ~/.bashrc

source ~/.bashrc

mkvirtualenv cv -p python3
workon cv

pip install numpy
workon cv

cd ~/opencv
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE \
    -D CMAKE_INSTALL_PREFIX=/usr/local \
    -D WITH_CUDA=OFF \
    -D INSTALL_PYTHON_EXAMPLES=ON \
    -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules \
    -D OPENCV_ENABLE_NONFREE=ON \
    -D BUILD_EXAMPLES=ON ..

make -j16
sudo make install
sudo ldconfig

pkg-config --modversion opencv

ls /usr/local/python/cv2/python-3.6

cd /usr/local/python/cv2/python-3.6
sudo mv cv2.cpython-36m-x86_64-linux-gnu.so cv2.so

cd ~/.virtualenvs/cv/lib/python3.6/site-packages/
ln -s /usr/local/python/cv2/python-3.6/cv2.so cv2.so

cd /usr/local/lib/python3.6/dist-packages
sudo ln -s /usr/local/python/cv2/python-3.6/cv2.so cv2.so

cd ~
rm opencv.zip opencv_contrib.zip
rm -rf opencv opencv_contrib

##### END OPENCV CONFIGURATION CPU #####

##### DOWNLOAD DARKNET #####
git clone https://github.com/AlexeyAB/darknet

##### DOWNLOAD COCO #####
cd darknet
source scripts/get_coco_dataset.sh
cd ..
wget http://images.cocodataset.org/zips/test2017.zip
unzip test-dev2017
mv test2017 coco/
cd coco/
wget https://gist.githubusercontent.com/nathzi1505/6189e64be9a61869f4dd4f4c4d5c6122/raw/dc7c9f89f614f3318a0088063f2de57d91033c54/testdev2017.txt
cd ..

##### COMPILE DARKNET #####
make

##### TRAIN YOLO ON COCO #####
./darknet detector train cfg/coco.data cfg/yolov4.cfg -dont_show -mjpeg_port 8090 -map