Theta is N x 3

Given an image and a mesh aligned with the image (under scale-orthographic projection), project the image onto the mesh and return a texture

funciton: load landmark embedding, in terms of face indices and barycentric coordinates for corresponding landmarks note: the included example is

Sample the FLAME model to demonstrate how to vary the model parameters.FLAME has parameters to - model identity-dependent shape variation

Get a differentiable landmark embedding in the FLAME surface

Computes absolute joint locations given pose. rotate_base: if True, rotates the global rotation by 90 deg in x axis. if False, this is t

vec is N x 3, batch_size is int returns N x 3 x 3. Skew_sym version of each matrix.

Fit FLAME to 3D mesh in correspondence to the FLAME mesh (i.e. same number of vertices, same mesh topology) :param target_3d_mesh_fname: t

Fit FLAME to 2D landmarks :param target_2d_lmks target 2D landmarks provided as (num_lmks x 3) matrix :param model_fname sav

Fit FLAME to 3D landmarks :param target_3d_lmks: target 3D landmarks provided as (num_lmks x 3) matrix :param model_fname: s

Sample the FLAME model to demonstrate how to vary the model parameters.FLAME has parameters to - model identity-dependent shape variation

weak perspective camera

Obtain SMPL with shape (beta) & pose (theta) inputs. Theta includes the global rotation. Args: beta: N x num_betas

pkl_path is the path to a SMPL model

NOTE: not used bc I want to reuse R and this is simple. Output of this is used to compute joint-to-pose blend shape mapping. Equation 9 in SM

Load a picked points file (.pp) containing 3D points exported from MeshLab. Returns a Numpy array of size Nx3