Pose parameters for neck about ringnet HOT 1 CLOSED

Found the answer in the Ringnet paper Section 3.5 Implementation details:
The neck and eyeball rotations of FLAME are not regressed since
the facial landmarks do not impose any constraints on the neck.

The regression network consists of two fully-connected layers of
dimension 512 with ReLu activation and dropout, followed
by a final linear fully-connected layer with 159-dimensional
output. To this 159-dimensional output vector we concatenate
the camera, pose, shape, and expression parameters.
The first three elements represent scale and 2D image translation.

The following 6 elements are the global rotation and
jaw rotation, each in axis-angle representation. The neck
and eyeball rotations of FLAME are not regressed since
the facial landmarks do not impose any constraints on the
neck. The next 100 elements are the shape parameters, followed
by 50 expression parameters of FLAME.

from ringnet.