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Large Scale Facial Model (LSFM) - an automatic pipeline for constructing 3D Morphable Models from large collections of facial meshes

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thanks for your code i notice LSFM could generate both shape and colour model. And in the mesh ,i notice colours are exist. how to get colour_model? can you give...

Hello booth: When I run "lsfm -i ./test -o ./out", An error occurred: FAILED TO CORRESPOND: 'LandmarkGroup' object has no attribute 'from_mask'. What's wrong, Please give me some tips. Thanks....

I was using lsfm 1.0.0. I encountered "AttributeError: 'ColouredTriMesh' object has no attribute 'texture'" error. So I checked the code, it was in def import_mesh(path): if path.suffix == '.pkl' or...

Hello, I'm interested in your work, it really works excellent for facial meshes. But can it be applied to other meshes, like airplanes, cars in ShapeNet? Looking forward to your...

Did you use different expressions to build the 3DMM or only use the netural face? What if I use a collection of face meshes with varous expressions?

camera.pkl and template.pkl are required in lsfm/data/__init__.py. But I could not find it. Could you upload them?

The first 17 points are the jaw of the dlib 68 landmarks. the code in lsfm/data/__init__.py LANDMARK_MASK[:18] = False may be changed to LANDMARK_MASK[:17] = False I'm not sure.

Added my Dockerfile and docker-compose file for anyone else who wants to run lsfm inside a container.