.screenrc setup for better usage

 

.screenrc

code ~/.screenrc or vim or nano

and put this 

# Current settings for scrolling and encoding

termcapinfo xterm* ti@:te@

defutf8 on

term screen-256color

defscrollback 10000

encoding utf8

# Add these lines for better keyboard handling

bindkey -k ku stuff \033[A

bindkey -k kd stuff \033[B

bindkey -k kl stuff \033[D

bindkey -k kr stuff \033[C

# Allow alternate screen

altscreen on

# Set terminal to xterm-256color for better compatibility

terminfo xterm-256color hs@:cs=\E[%i%p1%d;%p2%dr:im=\E[4h:ei=\E[4l

# Make bash history work properly

shell -$SHELL

#study.marearts.com

detach or recreate screen

Thank you.

How to stop docker under Linux

 I can stop docker after put two commend. 

> sudo systemctl stop docker

[sudo] password for mare: 

Warning: Stopping docker.service, but it can still be activated by:

  docker.socket

> sudo systemctl stop docker.socket

I hope it's helpful to you.

Thank you.

🙇🏻‍♂️

How to Install OpenCV 4.7 with CUDA, cuDNN, TBB, CUDA Video Codec, and Extra Modules in Linux

 

refer to bash code

.

#!/bin/bash

# Install dependencies

sudo apt-get update

sudo apt-get install build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev

sudo apt-get install libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev

sudo apt-get install libcanberra-gtk-module libcanberra-gtk3-module

# Install CUDA 11

wget https://developer.download.nvidia.com/compute/cuda/11.4.0/local_installers/cuda_11.4.0_470.57.02_linux.run

sudo sh cuda_11.4.0_470.57.02_linux.run --silent --toolkit --override

echo 'export PATH=/usr/local/cuda-11.4/bin:$PATH' >> ~/.bashrc

echo 'export LD_LIBRARY_PATH=/usr/local/cuda-11.4/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc

source ~/.bashrc

# Download and extract TBB

wget https://github.com/oneapi-src/oneTBB/releases/download/v2022.0.0/oneapi-tbb-2022.0.0-lin.tgz

tar -xf oneapi-tbb-2022.0.0-lin.tgz

sudo cp -r oneapi-tbb-2022.0.0/lib/* /usr/local/lib/

echo 'export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH' >> ~/.bashrc

source ~/.bashrc

# Download and extract OpenCV 4.7 and OpenCV extra modules

wget https://github.com/opencv/opencv/archive/4.7.0.zip

unzip 4.7.0.zip

cd opencv-4.7.0

wget https://github.com/opencv/opencv_contrib/archive/4.7.0.zip

unzip 4.7.0.zip

# Build and install OpenCV 4.7 with CUDA, cuDNN, TBB, CUDA video codec, and OpenCV extra modules

mkdir build

cd build

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.7.0/modules -D WITH_CUDA=ON -D WITH_TBB=ON -D WITH_NVCUVID=ON -D WITH_GSTREAMER=ON -D WITH_GSTREAMER_0_10=OFF -D WITH_LIBV4L=ON -D WITH_CUDNN=ON -D CUDA_ARCH_BIN=7.5 ..

make -j$(nproc)

sudo make install

echo 'export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:$PKG_CONFIG_PATH' >> ~/.bashrc

source ~/.bashrc

# Compile and run the sample code

cd ../../

wget https://raw.githubusercontent.com/spmallick/learnopencv/master/Averaging4kVideo/Averaging4kVideo.cpp

g++ Averaging4kVideo.cpp -o Averaging4kVideo `pkg-config --cflags --libs opencv4`

./Averaging4kVideo

..

thank you.

🙇🏻‍♂️

www.marearts.com

Install python 3.8 on Linux

 

Following below step:

-------------

wget https://www.python.org/ftp/python/3.8.3/Python-3.8.3.tgz

tar xvf Python-3.8.3.tgz

cd Python-3.8*/

./configure --enable-optimizations

make altinstall

-------------

Importerror: libgl.so.1: cannot open shared object file: no such file or directory opencv error

Try this one first:

pip install opencv-python--headless

or 

install follow in case centos or aws linux docker

RUN yum install whatprovides libGL.so.1 -y

install follow in case linux docker

ENV TZ=Europe/Minsk

RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone

RUN apt-get install libgtk2.0-dev -y

 

Thank you, Good luck!

linux screen command list in summary

*create screen
screen -S name

*leave with alive
Ctrl a, d

*enter screen 

screen -r name 

*kill specific screen
screen -S name -X quit

*show screen list
screen -ls

*detach specific screen

screen -d name

*kill all screen
killall screen

yum install unxz -> Error: Nothing to do

use this one:

yum install xz

How to mount extra hdd permanently

> sudo -I blkid

/dev/sdb1: UUID="0687f976-6efe-4ac5-88dd-8fd863f8b8bf" TYPE="ext4" PARTUUID="1569f982-01"/dev/sda1: LABEL="cloudimg-rootfs" UUID="8ae3d910-2d2a-492d-8667-d0fa24e4d357" TYPE="ext4" PARTUUID="05ae307a-01"/dev/sdc1: UUID="e8abbf34-2cb2-471f-bac6-2a5caec81ad8" TYPE="ext4" PARTUUID="4c4db30a-01"

check uuid that you want to mount
>sudo nano /etc/fstab

Add this string end of file, but uuid must be your value, and ext4 also should be same with blkid information

UUID=e8abbf34-2cb2-471f-bac6-2a5caec81ad8 /media/datadisk ext4 defults,nofail    0       2

Thank you.

Making virtualenv using mkvirtualenv or virtualenv, simple command memo.

- create virtual env wrapper & deactivate

mkvirtualenv env-py2 -p python2 #(or python3)
workon env-py2
deactivate

- create virtual env & deactivate

sudo pip install virtualenv
virtualenv env
sourse env/bin/activate
source deactivate

- delete virtual env

rmvirtualenv envname

- virtualenv dependencies save and install

#On the first, save
pip freeze > requirements.txt

#On the second, install(note! after activating target env)
pip install -r requirements.txt

-show all virtualenv names

lsvirtualenv -l

- PyCharm virtualenv wrapper setting
We have to set directory path manually in preference setting page.
The path is like this in my case.

And then you can select this virtualenv on run/debug configuration.

(lucky tip) linux opencv+cuda cmake setting and build error ->nvcc fatal compute_11

About nvcc fatal compute_11 error
when build linux(ubuntu) after opencv + cuda setting using cmake

Try change cmake setting.

Cann't you see this option check Advanced box.

CUDA_GENERATION=Kepler

Add 3.2 in CUDA_ARCH_BIN

CUDA_ARCH_BIN = 3.2

How to run *.run file in Linux ? (simple tip)

Just change mode
and run!
'./' means sh command


# chmod a+x install_test.run
# ./install_test.run

Linux is not easy to me.....