face landmark detection model Architecture?

[Rakeshvcr]

What is the architecture of the face_landmark_68_model. I wanted to train my own landmark detection model with lesser points. please let me know the model architecture.

[thirukumars]

ssd model or tinyYolo or mtcnn we can use any of those three

On Fri, Sep 6, 2019 at 2:49 PM RAKESH_v notifications@github.com wrote:

What is the architecture of the face_landmark_68_model. I wanted to train my own landmark detection model with lesser points. please let me know the model architecture.

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[Rakeshvcr]

@thirukumars correct me if I'm wrong, I think all those model are only for detecting faces, If the faces are detected then, they are using face_landmark_68_model to detect landmark.

[justadudewhohacks]

@thirukumars correct me if I'm wrong, I think all those model are only for detecting faces, If the faces are detected then, they are using face_landmark_68_model to detect landmark.

Correct.

From the README:

68 Point Face Landmark Detection Models This package implements a very lightweight and fast, yet accurate 68 point face landmark detector. The default model has a size of only 350kb (face_landmark_68_model) and the tiny model is only 80kb (face_landmark_68_tiny_model). Both models employ the ideas of depthwise separable convolutions as well as densely connected blocks. The models have been trained on a dataset of ~35k face images labeled with 68 face landmark points.

The implementation is a bit hidden, but you can find the code of the forward method here.

[IGhadalharbi]

hello please i have question ,i need to know how the function will take the landmark of face? and what is the landmark will take it? thank u very much

[IGhadalharbi]

hello why there is no answer? thank u