1. A method for X-ray tube scanner automation, comprising: receiving an RGBD image of a patient on a patient table from a 3D camera mounted on an X-ray tube; calculating a transformation between a coordinate system of the 3D camera and a coordinate system of the patient table; estimating a patient model from the RGBD image of the patient; and automatically controlling the X-ray tube to acquire an X-ray image of a region of interest of the patient based on the patient model, wherein estimating a patient model from the RGBD image of the patient comprises: detecting a patient pose in the RGBD image using one or more machine learning-based pose classifiers; detecting anatomical landmarks of the patient in the RGBD data based on the detected patient pose.