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SfMLearner
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SfMLearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

by tinghuiz · GitHub
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deep-learningdepth-predictionself-supervised-learningMITJupyter Notebook
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In plain words

Run a demo to estimate depth and motion from single-camera videos using pre-trained models.

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2.02k2.01k
2026-07-072026-08-31
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📄 About

An 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.

Frequently asked questions

What is SfMLearner?

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Is SfMLearner open source?

SfMLearner is an open-source project. It is released under the MIT license.

Is SfMLearner free?

Yes. SfMLearner is free and open source — you can use, modify and self-host it.

What license does SfMLearner use?

SfMLearner is available under the MIT license.

What language is SfMLearner written in?

SfMLearner is written mainly in Jupyter Notebook.

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