An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Run a demo to estimate depth and motion from single-camera videos using pre-trained models.
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Free · no card · unsubscribe anytimeAn unsupervised learning framework for depth and ego-motion estimation from monocular videos
SfMLearner has 2k stars on GitHub. It has been forked 555 times. SfMLearner is written mainly in Jupyter Notebook. It has been in active development since 2017. SfMLearner is available under the MIT license. Its main topics are deep-learning, depth-prediction, self-supervised-learning, unsupervised-learning.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
SfMLearner is an open-source project. It is released under the MIT license.
Yes. SfMLearner is free and open source — you can use, modify and self-host it.
SfMLearner is available under the MIT license.
SfMLearner is written mainly in Jupyter Notebook.
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