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--- |
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license: gpl-3.0 |
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pipeline_tag: depth-estimation |
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datasets: |
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- sayakpaul/nyu_depth_v2 |
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--- |
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# LapDepth-release |
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[](https://paperswithcode.com/sota/monocular-depth-estimation-on-kitti-eigen?p=monocular-depth-estimation-using-laplacian) |
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[](https://paperswithcode.com/sota/monocular-depth-estimation-on-nyu-depth-v2?p=monocular-depth-estimation-using-laplacian) |
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This repository is a Pytorch implementation of the paper [**"Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals"**](https://ieeexplore.ieee.org/document/9316778) |
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Minsoo Song, Seokjae Lim, and [Wonjun Kim*](https://sites.google.com/view/dcvl) |
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IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) |
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# Official Repository: [LapDepth-release](https://github.com/tjqansthd/LapDepth-release) |
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# License: [GPL-3.0 license](https://github.com/tjqansthd/LapDepth-release/blob/master/LICENSE) |
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# Usage |
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```python |
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from model import LDRN |
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model = LDRN(max_depth=10.0) |
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model.load_state_dict(torch.load("lap_depth_nyu.pkl"), strict=False) |
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model.eval() |
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``` |