Before extracting the frames, you will need to make sure that you have ffmpeg
installed on your machine or your
python should include its binaries. If you are using Ubuntu, the following command should be sufficient:
sudo apt install ffmpeg
.
This should be ignored if not setting up from scratch on AWS.
cd /usr/local/bin
mkdir ffmpeg && cd ffmpeg
wget https://johnvansickle.com/ffmpeg/releases/ffmpeg-release-amd64-static.tar.xz
tar -xf ffmpeg-release-amd64-static.tar.xz
cp -a /usr/local/bin/ffmpeg/ffmpeg-6.0-amd64-static/. .
ln -s /usr/local/bin/ffmpeg/ffmpeg /usr/bin/ffmpeg
exit
pip3 install numpy torch transformers pillow scipy torchvision matplotlib torchmetrics pycocotools timm git-python
cd ~/.ssh
ssh-keygen -t ed25519 -C "<username>@<domain>"
cat id_ed25519.pub
cd ~ && mkdir work && cd work
git clone [email protected]:linqs/RoadRNeuPSL.git
cd RoadRNeuPSL/data
./fetchData.sh
python3 videos_to_jpgs.py
cd ../experiments/
python3 task1_pretrain.py
cd ~/work/
wget https://dlcdn.apache.org/maven/maven-3/3.9.5/binaries/apache-maven-3.9.5-bin.tar.gz
tar xzvf apache-maven-3.9.5-bin.tar.gz
export JAVA_HOME="/usr/lib/jvm/java-11-openjdk"
export PATH="/usr/bin/java":$PATH
export PATH="/home/ec2-user/work/apache-maven-3.9.5/bin/":$PATH
export LD_LIBRARY_PATH="/home/ec2-user/work/apache-maven-3.9.5/lib/":$LD_LIBRARY_PATH
source ~/.bashrc