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| # AWS EC2 instance startup script https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/user-data.html | |
| # This script will run only once on first instance start (for a re-start script see mime.sh) | |
| # /home/ubuntu (ubuntu) or /home/ec2-user (amazon-linux) is working dir | |
| # Use >300 GB SSD | |
| cd home/ubuntu | |
| if [ ! -d yolor ]; then | |
| echo "Running first-time script." # install dependencies, download COCO, pull Docker | |
| git clone -b paper https://github.com/WongKinYiu/yolor && sudo chmod -R 777 yolor | |
| cd yolor | |
| bash data/scripts/get_coco.sh && echo "Data done." & | |
| sudo docker pull nvcr.io/nvidia/pytorch:21.08-py3 && echo "Docker done." & | |
| python -m pip install --upgrade pip && pip install -r requirements.txt && python detect.py && echo "Requirements done." & | |
| wait && echo "All tasks done." # finish background tasks | |
| else | |
| echo "Running re-start script." # resume interrupted runs | |
| i=0 | |
| list=$(sudo docker ps -qa) # container list i.e. $'one\ntwo\nthree\nfour' | |
| while IFS= read -r id; do | |
| ((i++)) | |
| echo "restarting container $i: $id" | |
| sudo docker start $id | |
| # sudo docker exec -it $id python train.py --resume # single-GPU | |
| sudo docker exec -d $id python utils/aws/resume.py # multi-scenario | |
| done <<<"$list" | |
| fi | |