Privateness is at all times extremely necessary, particularly with visible media the place it’s possible you’ll not have the permission of people within the video. For those who’re filming one thing in public, it is seemingly you may catch somebody’s face who merely would not need or must be recognized. This not too long ago obtained me to considering: what is the best approach to blur faces in a video through command line?
The very best open supply utility I discovered for blurring faces in a video was
deface. Let’s take a look at how you need to use
deface to blur faces in movies!
Begin by downloading Python-based through
python3 -m pip set up deface
deface put in, merely present the video identify 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 unique 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 transferring 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 stage even at default threshold!
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