Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
Implement dense visual object descriptors for robotic manipulation tasks with a step-by-step tutorial.
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pytorch-dense-correspondence has 576 stars on GitHub. It has been forked 135 times. pytorch-dense-correspondence is written mainly in Python. It has been in active development since 2018. Its main topics are 3d, artificial-intelligence, computer-vision, deep-learning.
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
pytorch-dense-correspondence is an open-source project.
Yes. pytorch-dense-correspondence is free and open source — you can use, modify and self-host it.
pytorch-dense-correspondence is written mainly in Python.
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