Privateness is at all times extremely essential, particularly with visible media the place chances are you’ll not have the permission of people within the video. In the event you’re filming one thing in public, it is possible you will catch somebody’s face who merely does not need or have to be recognized. This not too long ago acquired me to pondering: what is the best technique to blur faces in a video through command line?
The most effective open supply utility I discovered for blurring faces in a video was deface
. Let’s take a look at how you should utilize deface
to blur faces in movies!
Begin by downloading Python-based through pip
:
python3 -m pip set up deface
With deface
put in, merely present the video title and get the output file with blurred faces:
sudo deface ./sample-4k-faces-video.mp4 Enter: ./sample-4k-faces-video.mp4 Output: ./sample-4k-faces-video_anonymized.mp4 100%|█████████████████████████████
The ensuing video does a formidable job of blurring out faces of individuals strolling by within the authentic recording:
View the ensuing video of individuals strolling down the streets of New York:
The default threshold for face recognition works very nicely, even on shifting topics. You’ll be able to experiment with thresholds with the thresh
argument, and even draw the thresholds out whereas debugging:
I downloaded a handful of YouTube movies utilizing my favourite YouTube downloading utility youtube-dl
and I used to be amazed at how nicely deface
did on a wide range of visible environments. Faces had been recognized at a dependable degree even at default threshold!
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