92 lines
2.0 KiB
Bash
92 lines
2.0 KiB
Bash
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#!/bin/bash
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#获取对应的参数 没有的话赋默认值
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ARGS=`getopt -o d::s::b::e::m::o:: --long dataset::,img_size::,batch_size::,epochs::,model::,model_save:: -n 'example.sh' -- "$@"`
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if [ $? != 0 ]; then
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echo "Terminating..."
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exit 1
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fi
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echo $ARGS
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eval set -- "${ARGS}"
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while true;
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do
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case "$1" in
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-d|--dataset)
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case "$2" in
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"")
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echo "Internal error!"
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exit 1
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;;
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*)
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Dataset=$2
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shift 2;
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;;
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esac
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;;
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-s|--img_size)
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case "$2" in
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"")
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echo "Internal error!"
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exit 1
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;;
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*)
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ImgSize=$2;
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shift 2;
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;;
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esac
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;;
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-b|--batch_size)
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case "$2" in
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*)
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BatchSize=$2;
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shift 2;
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;;
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esac
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;;
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-e|--epochs)
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case "$2" in
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*)
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Epochs=$2;
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shift 2;
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;;
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esac
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;;
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-m|--model)
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case "$2" in
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*)
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Model=$2;
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shift 2;
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;;
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esac
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;;
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-o|--model_save)
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case "$2" in
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*)
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ModelSave=$2;
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shift 2;
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;;
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esac
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;;
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--)
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shift
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break
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;;
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*)
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echo "Internal error!"
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exit 1
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;;
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esac
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done
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#echo ${Dataset}
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eval "$(conda shell.bash hook)"
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conda activate hpds_train
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cd /home/data/hpds_train_keras
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python train.py --dataset ${Dataset} --img_size ${ImgSize} --batch_size ${BatchSize} \
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--epochs ${Epochs} --model ${Model} --model_save ${ModelSave}
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