TCP端口:nc -v -z IP PORT
UDP端口:nc -v -z -u IP PORT
ubuntu kernel 升级
https://blog.csdn.net/qq_36782182/article/details/88019574
GRUB_DEFAULT="Advanced options for Ubuntu>Ubuntu, with Linux 4.15.0-72-generic"
export LC_ALL=en_US.UTF-8
export LANG=en_US.UTF-8
https://pypi.org/project/memory-profiler/
ssh-keygen -R "你的远程服务器ip地址"
samba https://blog.csdn.net/q1302182594/article/details/51919022
/usr/local/cuda-10.1/targets/x86_64-linux/include
/usr/include for 10.0
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python2 get-pip.py
python3 get-pip.py
首先我们python3.4 -m pip --version一下
再python3.5 -m pip --version 一下
发现两个pip版本不同,在使用pip3时,使用的其实是python3.4的pip
想用python3.5的pip,只要python3.5 -m pip +命令就可以
find ./images/train2017/ -name *.jpg > label.txt
ubuntu socket通信
https://blog.csdn.net/deyuzhi/article/details/51725074
dir=`ls hat_xml/`
for i in $dir
do
echo $i
sed -i 's/Hat/hat/g' hat_xml/$i
done
OpenCV_DIR=/home/embd/work/aiserver/projects/bank-server/install/opencv_install cmake ..
caffe ssd CMakefilelist
if(UNIX OR APPLE)
47 set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fPIC -Wall -std=c++11")
48 endif()
grep -nr "<depth>1</depth>" ./
https://research.google.com/ava/download.html
weight_decay
为正则项在Loss函数中的系数。如果过拟合,调大这个参数;如果欠拟合,调小这个参数;
准确的说Caffe默认的优化方法是基于mini-batch随机梯度下降的一阶优化算法。
在此基础上还提供了Adagrad,Adadelta,Adam等优化算法。
ssh-keygen -R xxx.xxx.xxx.xxx (服务器ip地址)
meld
cd /usr/bin
python2 meld
cat val.csv | awk '{print $1}' | awk '!a[$0]++' >out.txt
sudo apt-get install athena-jot
netstat -natup |grep 807
删除远程分支
git branch -r -d origin/branch-name
git push origin :branch-name
压缩:
sudo tar zcvf work.tar.gz work/
sudo tar jcvf work.tar.bz2 work/
sudo tar cvf work.tar work
记住了,要加sudo
解压缩:
tar xzvf work.tar.gz
tar xjvf work.tar.bz2
tar xvf work.tar
pip3 download keras==2.2 -d /home/embd/yangjing/test/tf -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
-i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn
pip3 install --no-index --find-links=~/yangjing/dependencies -r dependencies/requirements.txt
sudo docker run -d -p 8082:80 --name nginx-ebike -v ~/work/nginx/www:/usr/share/nginx/html -v ~/work/nginx/conf/nginx.conf:/etc/nginx/nginx.conf -v ~/work/nginx/logs:/var/log/nginx nginx
uname -a
cat /etc/default/grub
cat /boot/grub/grub.cfg | grep menuentry
sudo upgrade_grub
sudo reboot
files=`ls`;for file in $files;do cat $file | grep "<name>sofa" >>~/sofaNum.log;done
cat /opt/ripple/edge-core/latest/logs/edge_object.log | grep "DetectResult" | awk '{print $8}' | tr -d "ms" | awk '{sum+=$1} END {print "Average=", sum/NR}'