self-supervised-depth-completion
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Use a method to improve depth perception in images taken from LiDAR and cameras.
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self-supervised-depth-completion has 654 stars on GitHub. It has been forked 135 times. self-supervised-depth-completion is written mainly in Python. It has been in active development since 2018. self-supervised-depth-completion is available under the MIT license. Its main topics are computer-vision, deep-learning, depth-completion, depth-estimation.
What is self-supervised-depth-completion?
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Is self-supervised-depth-completion open source?
self-supervised-depth-completion is an open-source project. It is released under the MIT license.
Is self-supervised-depth-completion free?
Yes. self-supervised-depth-completion is free and open source — you can use, modify and self-host it.
What license does self-supervised-depth-completion use?
self-supervised-depth-completion is available under the MIT license.
What language is self-supervised-depth-completion written in?
self-supervised-depth-completion is written mainly in Python.
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