difference between landmark tensorflow implementation and openpose/tfpose for human pose estimation

[soans1994]

hello author,

i have a query, how is this implementation different from tfpose which uses coco dataset and mobilenet model. i think this model predicts all the points even if some face parts are missing( if i cover my eyes or nose) it still detects right?
but it openpose/tf-pose if we cover the body parts, it wont show the keypoints. how is this different, can you give me some advice.

thank you