얼굴특징 추출 및 임베딩 추출 (Face Extraction and Embeddings)

이 기술은 보통 사람의 신원을 파악하는데 쓰인다. 적절한 분류 알고리즘과 임베딩을 이용하여 로지스틱 회귀와 같은 알고리즘과 연결하여 딥페이크등의 얼굴을 구분해 낼때 쓸 수 있겠다. 최종적인 임베딩은 400개 이미지 약 1000 해상도에 대하여 300개의 얼굴을 뽑아내고 있는데 약 50Mb 정도를 차지하고 있다.

This technic is mainly used for identifying person id. By adopting embedding with proper classification algorithm such as logistic regression, one can classify deepfake or so. The final embedding that is saved to csv file is approx 50mb, with 300 face for each of 400 trainset.

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