High Quality Monocular Depth Estimation via Transfer Learning
Estimate depth from single images using advanced machine learning techniques.
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DenseDepth has 1.6k stars on GitHub. It has been forked 349 times. DenseDepth is written mainly in Jupyter Notebook. It has been in active development since 2018. DenseDepth is available under the GPL-3.0 license. Its main topics are deep-learning, deep-neural-networks, depth-estimation, encoder-decoder-model.
High Quality Monocular Depth Estimation via Transfer Learning
DenseDepth is an open-source project. It is released under the GPL-3.0 license.
Yes. DenseDepth is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
DenseDepth is available under the GPL-3.0 license.
DenseDepth is written mainly in Jupyter Notebook.
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