mananmadan / facial-keypoints Goto Github PK

"Facial landmark detection is the task of detecting key landmarks on the face and tracking them (being robust to rigid and non-rigid facial deformations due to head movements and facial expressions)"

• Image --> CNN --> output co-ordinates of the landmarks
• Explained by Andrew Ng
• further see facial-keypoints.ipynb for seeing the training process and network architechture

• Data

• Since the data set only contain image of size 96,96,1
• Hence haar-cascade is used to first isolate the face and that is passed into model
• image.py runs the network on any image
• vedio.py runs the network on vedio from web cam

• Image Output

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• Vedio Output

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• Better dataset ( or clean this one)
  • Data contains only some images with 15 landmarks , rest contain only 4
  • Better model
  • https://www.kaggle.com/mananmadan/facial-keypoint-detection