List of Contents for AI (Deep Learning) Development Learning

By analyzing the open-source facial recognition library 'InsightFace' in detail, we will understand the overall structure of the representative facial recognition AI, 'InsightFace'. In this session, we will focus specifically on face authentication technology. Not only will you be able to implement a face authentication program, but by exploring how InsightFace adopts certain AI models and achieves high-precision facial recognition, it can serve as a reference case for future AI development.

By thoroughly analyzing the open-source facial recognition library 'InsightFace', we will understand the overall structure of 'InsightFace', a representative facial recognition AI. In Session 2, we will decipher the FaceAnalysis class of InsightFace and explore the five AI models used internally.

By analyzing the open-source face recognition library 'InsightFace' in detail, we understand the overall structure of the representative face recognition AI 'InsightFace'. In Session 3, we implement face authentication by dividing it into three steps: 'detecting the face', 'vectorizing the face image', and 'comparing the vectors'.