mirror of
https://github.com/NanjingForestryUniversity/supermachine--tomato-passion_fruit.git
synced 2025-11-08 22:34:00 +00:00
242bb9a71b
fix:修复在20240627test4中的classifier.py的analyze_tomato函数中white_defect的函数忘记传递两个阈值量的错误；修复analyze_tomato函数中的叶片实例分割存在的问题，解决由于变量污染引起的分割错误；
28 lines
1.2 KiB
Bash
28 lines
1.2 KiB
Bash
#!/bin/bash
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# AWS EC2 instance startup script https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/user-data.html
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# This script will run only once on first instance start (for a re-start script see mime.sh)
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# /home/ubuntu (ubuntu) or /home/ec2-user (amazon-linux) is working dir
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# Use >300 GB SSD
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cd home/ubuntu
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if [ ! -d yolov5 ]; then
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echo "Running first-time script." # install dependencies, download COCO, pull Docker
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git clone https://github.com/ultralytics/yolov5 -b master && sudo chmod -R 777 yolov5
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cd yolov5
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bash data/scripts/get_coco.sh && echo "COCO done." &
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sudo docker pull ultralytics/yolov5:latest && echo "Docker done." &
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python -m pip install --upgrade pip && pip install -r requirements.txt && python detect.py && echo "Requirements done." &
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wait && echo "All tasks done." # finish background tasks
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else
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echo "Running re-start script." # resume interrupted runs
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i=0
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list=$(sudo docker ps -qa) # container list i.e. $'one\ntwo\nthree\nfour'
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while IFS= read -r id; do
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((i++))
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echo "restarting container $i: $id"
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sudo docker start $id
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# sudo docker exec -it $id python train.py --resume # single-GPU
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sudo docker exec -d $id python utils/aws/resume.py # multi-scenario
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done <<<"$list"
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fi
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