Скачать или смотреть OpenFilter Tutorial

Augmented Reality or AR filters on selfies have become very popular on social media platforms for a variety of applications, including marketing, entertainment and aesthetics. Given the wide adoption of AR face filters and the importance of faces in our social structures and relations, there is increased interest by the scientific community to analyze the impact of such filters from a psychological, artistic and sociological perspective. However, there are few quantitative analyses in this area mainly due to a lack of publicly available datasets of facial images with applied AR filters. The proprietary, close nature of most social media platforms does not allow users, scientists and practitioners to access the code and the details of the available AR face filters. Scraping faces from these platforms to collect data is ethically unacceptable and should, therefore, be avoided in research. In this tutorial, we present OpenFilter, a flexible framework to apply AR filters available in social media platforms on existing large collections of human faces. For more information about the use of OpenFilter to analyze the impact of beauty filters, please, look at our webpage:
https://ellisalicante.org
and publications:
https://ellisalicante.org/publication...
https://ellisalicante.org/publication...