DeepPrivacy within command-line processor : Command-line implementation of "DeepPrivacy: A Generative Adversarial Network for Face Anonymization" using Open Broadcaster Software (OBS) as a virtual camera."

• Command-line implementation of "DeepPrivacy: A Generative Adversarial Network for Face Anonymization" using Open Broadcaster Software (OBS) as a virtual camera."

•  "DeepPrivacy" is a fully automatic anonymization technique for images. DeepPrivacy was originally released by Håkon Hukkelås, Rudolf Mester, and Frank Lindseth as a research paper "DeepPrivacy: A Generative Adversarial Network for Face Anonymization" in 2019 (https://arxiv.org/abs/1909.04538).We have used https://github.com/hukkelas/DeepPrivacy repository and implemented the code using python and OBS as a virtual camera.Open the command line on Windows and install the packages using pip-install (see Guide.md).The result is that anyone can anonymize the faces in any images or videos as deep-fakes or with astropy rectangles in bulk.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

HUMANIORA  -- Konst -- Bildkonst (hsv//swe)

HUMANITIES  -- Arts -- Visual Arts (hsv//eng)

HUMANIORA  -- Konst (hsv//swe)

HUMANITIES  -- Arts (hsv//eng)

NATURVETENSKAP  -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

Anonymization

Artificial Intelligence

Broadcaster Software

Computer Vision

DeepPrivacy

Face Anonymization

Generative Adversarial Network

GAN

Machine Learning

OBS

Pattern Recognition

Virtual camera

Artistic practices

Konstnärliga praktiker

Publikations- och innehållstyp

kfu (ämneskategori)