This workflow predict landmark positions on images by using LC landmark detection models.
This workflow trains LC landmark detection models from a dataset of annotated images.
This workflow predict landmark positions on images by using MSET landmark detection models.
This workflow trains MSET landmark detection models from a dataset of annotated images.
This is a (Cython-based) Python wrapper for Philipp Krähenbühl's Fully-Connected CRFs (version 2).
