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lap-depth-nyu
ibaiGorordo/lap-depth-nyu
lap-depth-nyu is a depth estimation model from ibaiGorordo. Use it for the depth estimation task on the model card, and read the license before you ship it in a product. The card lists the license as gpl-3.0.
[](https://paperswithcode.com/sota/monocular-depth-estimation-on-kitti-eigen?p=monocular-depth-estimation-using-laplacian) [](https://paperswithcode.com/sota/monocular-depth-estimation-on-nyu-depth-v2?p=monocular-dept…
Access
Public
Updated Apr 29, 2023
Repo size
295 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.pkl295 MB · 100%
At a glance
- Task
- Depth Estimation
- License
- gpl-3.0
- Access
- Public
- Created
- Apr 29, 2023
- Updated
- Apr 29, 2023
- SHA
- 7ed6df63
Datasets
Model card
From the Hugging Face model README
LapDepth-release
This repository is a Pytorch implementation of the paper "Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals"
Minsoo Song, Seokjae Lim, and Wonjun Kim*
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Official Repository: LapDepth-release
License: GPL-3.0 license
Usage
from model import LDRN
model = LDRN(max_depth=10.0)
model.load_state_dict(torch.load("lap_depth_nyu.pkl"), strict=False)
model.eval()
- Task
- Depth Estimation
- License
- gpl-3.0
- Created
- Apr 29, 2023
- Updated
- Apr 29, 2023