Facial Landmarks Detection using a Dlib & Mediapipe on AFLW2000

ML1 course project Jupyter notebook showing how to estimate face pose detection (which way someone is looking) and categorises it

Extract Features from Images using mediapipe and cv2 and labels which including [ pitch , yaw and roll]

Here are some of modeling the results using Mediapipe:

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
Pose Detection With Dlib		Pose Detection With Dlib
Pose Detection With Mediapipe		Pose Detection With Mediapipe
README.md		README.md
data_of_Pose_Detection_v2.ipynb		data_of_Pose_Detection_v2.ipynb
datafile.csv		datafile.csv