Generate and affine transformation matrix. Given a set of points, a center, a scale and a targer resolution, the function generates and affin

r"""Returns the raw moments that were accumulated for the given statistic between the last two calls to `update()`, or zero if no scal

r"""Returns the raw moments that were accumulated for the given statistic between the last two calls to `update()`, or zero if no scal

Insert a header to the HTML file Parameters: text (str) -- the header text

add images to the HTML file Parameters: ims (str list) -- a list of image paths txts (str list) -- a list of image

3x3 convolution with padding

3x3 convolution with padding

3x3 convolution with padding

Convert sdf samples to .ply :param pytorch_3d_sdf_tensor: a torch.FloatTensor of shape (n,n,n) :voxel_grid_origin: a list of three floats

Takes in the direction the camera is pointing and the camera origin and returns a cam2world matrix. Works on batches of forward_vectors, orig

Arguments: image: an instance of PIL.Image. min_face_size: a float number. thresholds: a list of length 3

Return: face_lms -- torch.tensor, size (B, 68, 2) Parameters: face_proj -- torch.tensor, size

Traverses the object name and returns the last (rightmost) python object.

Traverses the object name and returns the last (rightmost) python object.

Forward function used in test time. This function wraps <forward> function in no_grad() so we don't save intermediate steps for backprop