Privateness is all the time extremely vital, particularly with visible media the place it’s possible you’ll not have the permission of people within the video. In case you’re filming one thing in public, it is possible you may catch somebody’s face who merely would not need or should be recognized. This not too long ago obtained me to pondering: what is the best method to blur faces in a video by way of command line?
The perfect 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 by way of pip:
python3 -m pip set up deface
With 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 powerful 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 properly, even on transferring topics. You possibly can 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 properly 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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