Link Diary April 2022

Videos, articles and other links I stumbled upon in april 2022, which I want to remember and share.

• ffmpeg: Get an Image off a video at an exact time
• Mount a directory as Docker volume
• Start Docker container without a server:
• Suppress questions during apt installations for automation:
• Video picks
• Options of strptime
• (german) Generator for legally correct imprint and data security policy
• Determine SATA version on Linux
• Image upscaling
• (german) List of games featuring raytracing or DLSS
• Megabyte ... MB oder MiB?
• Insert Emojis with Ubuntu Gnome
• Practice patience with Sudoku Online

https://superuser.com/questions/1009969/how-to-extract-a-frame-out-of-a-video-using-ffmpeg

ffmpeg -ss 00:00:05.01 -i myvideo.avi -frames:v 1 myimage.jpg

https://docs.docker.com/engine/reference/commandline/run/#mount-volume--v---read-only

docker run -v /local:/remote -i -t ubuntu bash

https://devopscube.com/keep-docker-container-running/

docker run -d ubuntu sleep infinity

DEBIAN_FRONTEND="noninteractive" apt-get install --yes python-opencv

https://www.programiz.com/python-programming/datetime/strptime

Python: Time from string without dateutil

import datetime
datetime.datetime.strptime("2022-04-21T20:30:00", "%Y-%m-%dT%H:%M:%S")

• https://www.impressum-generator.de/impressum-generator/
• https://www.mein-datenschutzbeauftragter.de/datenschutzerklaerung-konfigurator/

https://www.cyberciti.biz/faq/linux-command-to-find-sata-harddisk-link-speed/

dmesg | grep -i sata | grep 'link up'

https://github.com/xinntao/Real-ESRGAN

Needed lower versions than I would have with Ubuntu 20.04, so i dockered 18.04 and configured all packages accordingly.

Dockerfile

FROM nvidia/cuda:11.6.2-cudnn8-devel-ubuntu18.04
RUN apt update
RUN apt install git python3 python3-pip -y
RUN pip3 install torch 
RUN pip3 install --upgrade pip
RUN pip3 install numpy opencv-python
RUN apt install libsm6 libxext6 libxrender-dev -y
RUN ln -s /usr/bin/python3 /usr/bin/python
RUN ln -s /usr/bin/pip3 /usr/bin/pip
RUN pip install basicsr
RUN pip install facexlib
RUN pip install gfpgan
RUN git clone https://github.com/xinntao/Real-ESRGAN.git
WORKDIR /Real-ESRGAN
RUN pip install -r requirements.txt
RUN python setup.py develop
RUN apt install wget -y
RUN wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth -P experiments/pretrained_models
RUN mkdir -p inputs results
RUN DEBIAN_FRONTEND="noninteractive" apt-get install python3-opencv -y
VOLUME /Real-ESRGAN/inputs
VOLUME /Real-ESRGAN/results
WORKDIR /usr/local/lib/python3.6/dist-packages/facexlib/weights/
RUN wget https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth
WORKDIR /usr/local/lib/python3.6/dist-packages/gfpgan/weights/
RUN wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth
WORKDIR /Real-ESRGAN

https://collabnix.com/introducing-new-docker-cli-api-support-for-nvidia-gpus-under-docker-engine-19-03-0-beta-release/

Prepare_NVIDIA_for_container_sharing_on_Host

curl -s -L https://nvidia.github.io/nvidia-container-runtime/gpgkey | \
  sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-container-runtime/$distribution/nvidia-container-runtime.list | \
  sudo tee /etc/apt/sources.list.d/nvidia-container-runtime.list
sudo apt-get update
apt-get install nvidia-container-runtime
service docker restart

> docker run --gpus all -v "inputs":"/Real-ESRGAN/inputs" -t keinerweiss/esrgan python inference_realesrgan.py -n RealESRGAN_x4plus -i inputs --face_enhance --tile 256

https://www.gamestar.de/artikel/alle-spiele-mit-raytracing-und-dlss,3333695.html

https://www.majordifferences.com/2018/03/differences-between-megabyte-and.html

1 MiB = 1 MebiByte = 1024 Kilobyte (never 1000)

https://www.omgubuntu.co.uk/2018/06/use-emoji-linux-ubuntu-apps

Strg + . (in many applications)

https://sudoku.com/easy/