This is the Assignment for CO3117 Machine Learning Course from HCMUT.

The person representation used in this paper are extracted by a 2D pose estimator and a human parser: The frontal face used in this code are extracted by dlib library:

• dlib C++ library

The dataset is 3 videos of Barack Obama, Harry Potter and Andrew Ng which can be download from Youtube. For this project, I trimmed the video to target-face only video for easy frontal face extraction. The video is put together in this repo, however, can get directly the image set I used from face.zip.

Follow the order in Face_identity_recognition.ipynb.

Being simple, the model given the result of highly correct with the dataset, however, configures might involve in the near future to help the model perform better without some sort of overfitting.