Pytorch Implementation of Unsupervised Learning of Object Landmarks through Conditional Image Generation and Unsupervised Learning of Object Keypoints for Perception and Control for landmarks generation from images with unsupervised learning.

• PointNet in Unsupervised Learning of Object Landmarks through Conditional Image Generation:

  python pointnet.py --train/test

• Transporter in Unsupervised Learning of Object Keypoints for Perception and Control:

  python transporter.py --train/test

• Transporter for RL in Unsupervised Learning of Object Keypoints for Perception and Control, using soft actor-critic (SAC) instead of neural fitted Q-iteration (NFQ):

  python transporter_sac.py for training a reinforcement learning algorithm SAC with landmarks coordinates extracted by the Transporter.