Censor videos automatically

pip install blurring==0.2.0


Blurring - censor videos automatically

PyPI Python Version License PyPI - Downloads

I use a simple template match to find the secret spots in the video. So this is nothing for a dynamical video. It should be used to clean up for screen records.

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Blurring is designed to expand Watch me Coding. I take my screen in time lapse. One second, one frame. That's 3600 frames for an hour. An 8-hour coding day would be 28800 frames. I do not want to search for secret information in every single frame. I know my secret passwords so I can scan the video and blur them.


Simple as always. Do not forget to use a virtual environment:

>>> pip install blurring

How to uses

Create a template. You can use any image. Maybe something created with gimp. Or us supplied tool "blurring-t" (I know that is a ugly name, sorry):

>>> blurring-t template
height [18]: 18

Before you blur the video, checkout the original.

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Now blur it. I use the offset to blur the password before it is completely visible:

blurring video.mp4 blurred.mp4 template.png --offset 60

This is the result.

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And this would be the result without the offset.

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There is still something to improve, but for now I am happy.

Watch me coding integration

This is also a plugin for watch me encoding. After you have installed Blurring, there is an additional command:

>>> wmc -H
        info v0.3.3 - Print some infos
        link v0.3.3 - Concat all videos to one
      record v0.3.3 - Start the record
       setup v0.3.3 - Setup the project
    blurring v0.1.0 - Blur the final video

First create the final video:

>>> wmc link

Now create the template(s):

>>> mkdir templates
>>> blurring-t templates/dummy
height [18]: 18
width [70]: 70
scale [0.4]: 0.4
font [0]: 0
pos_x [0]: 0
pos_y [12]: 12

It is time to blurring out the "PASSWORD":

>>> wmc blurring

Now you have the video "full_blur.mp4". Enjoy it.


Virtual environment windows:

python -m venv venv

Virtual environment linux:

python3 -m venv venv
source venv/bin/activate

Setup project:

python -m pip install --upgrade pip wheel setuptools tox flake8 pylint coverage rstcheck
python develop

Run some test:

pylint src/blurring
python test
python flake8
python check

Test coverage:

coverage run --source src/blurring test
coverage report -m

Publish package:

git tag -a 1.0.0a1 -m '1.0.0a1'
rstcheck README.rst
python --version
python check
python sdist bdist_wheel
twine upload dist/*
git push origin 1.0.0a1

Create videos:

ffmpeg -i ext/video.mp4 -filter_complex "[0:v] palettegen" palette.png -y
ffmpeg -i ext/video.mp4 -i palette.png -filter_complex "[0:v][1:v] paletteuse" ext/video.gif
ffmpeg -i ext/video.mp4 -filter:v "crop=400:400:0:0" ext/video_small.mp4
ffmpeg -i ext/video.mp4 -i ext/blurred_60.mp4 -filter_complex hstack ext/combine.mp4