duan8_services/run.sh
2025-01-09 16:25:17 +08:00

49 lines
2.0 KiB
Bash

#!/bin/bash
# >>> conda initialize >>>
# !! Contents within this block are managed by 'conda init' !!
# __conda_setup="$('/home/pro/miniconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)"
# if [ $? -eq 0 ]; then
# eval "$__conda_setup"
# else
# if [ -f "/home/pro/miniconda3/etc/profile.d/conda.sh" ]; then
# . "/home/pro/miniconda3/etc/profile.d/conda.sh"
# else
# export PATH="/home/pro/miniconda3/bin:$PATH"
# fi
# fi
# unset __conda_setup
#export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/admin-root/TensorRT-8.6.1.6/lib
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/workspace/TensorRT-8.6.1.6/lib
# <<< conda initialize <<<
# 激活conda环境
# conda activate trt
# 获取并打印当前激活的conda环境名称到日志文件
#CURRENT_CONDA_ENV=$(conda info --envs | grep '\*')
#if [ -n "$CURRENT_CONDA_ENV" ]; then
# CURRENT_CONDA_ENV=$(echo $CURRENT_CONDA_ENV | awk '{print $1}')
# echo "当前激活的conda环境为: ${CURRENT_CONDA_ENV}" >> /home/admin-root/220_project/logs/p1.log
#else
# echo "未能检测到激活的conda环境" >> /home/admin-root/220_project/logs/p1.log
#fi
# 启动 人脸识别服务。
#docker-compose start
#echo "当前激活的conda环境为: $(conda info | grep 'active environment')"
cd /workspace/tensorrtx-master/yolov8
# 运行python脚本
nohup python d8_1.py > log/d8_1.log 2>&1 &
nohup python d8_2.py > log/d8_2.log 2>&1 &
nohup python d8_3.py > log/d8_3.log 2>&1 &
nohup python d8_4.py > log/d8_4.log 2>&1 &
#nohup python jingzhu_5.py > log/jingzhu_5.log 2>&1 &
#nohup python jingzhu_6.py > log/jingzhu_6.log 2>&1 &
#nohup python v7_p5_1.5.3.py > /home/pro/tensorrtx-master/yolov8/log/p5.log 2>&1 &
#nohup python v7_p6_1.5.3.py > /home/pro/tensorrtx-master/yolov8/log/p6.log 2>&1
#nohup python v7_p3.py > /home/admin-root/220_project/logs/p3.log 2>&1 &
#nohup python v7_p4.py > /home/admin-root/220_project/logs/p4.log 2>&1 &
#nohup python v7_p5.py > /home/admin-root/220_project/logs/p5.log 2>&1 &
#nohup python ph.py > /home/admin-root/220_project/logs/ph.log 2>&1 &