Facial_key_points_Detection

Identifying keypoints on an Image

To run first it is recommended to initialize and activate a virtual enviroinment

To run locally execute below snippet in terminal

git clone https://github.com/RomanK26/Facial_key_points_Detection

python3 -m venv <env_name>
source <path to env name/bin/activate>

and then run

pip install -r requirements.txt

Project structure

|--- Dataset structure

Here, we have Images in data/Training and keypoints in training_frames_keypoint.csv
The structure of csv file is

Luis_Fonsi_21.jpg,45.0,98.0,47.0,106.0,49.0,110.0,53.0,119.0...

where first column denotes image name, and remaining as keypoints i.e

X1, Y1, X2, Y2, X3, Y3, ..., X68, Y68

Training and Test loss curve

Inference

TO DOs

• [ 1 ] update markdown file
• [ 2 ] add code to select best model(to prevent overfitting)
• [ 3 ] add scheduler