https://github.com/ansj11/sanet
Science Score: 10.0%
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○CITATION.cff file
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○codemeta.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
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○Scientific vocabulary similarity
Low similarity (8.1%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: ansj11
- Language: Python
- Default Branch: master
- Size: 2.57 MB
Statistics
- Stars: 86
- Watchers: 5
- Forks: 10
- Open Issues: 5
- Releases: 0
Metadata Files
README.md
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets
This repository contains code to compute depth from a single image. It accompanies our paper:
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets
Tian Chen⋆, Shijie An⋆, Yuan Zhang, Chongyang Ma, Huayan Wang, Xiaoyan Guo, and Wen Zheng
Setup
1) Download the model weights (full model training on NYUv2 dataset) SANet-NYUv2.pth(password:x55o) and place the file in the pretrained folder.
2) Set up dependencies:
```shell
conda install pytorch torchvision opencv
```
The code was tested with Python 3.6, PyTorch 1.1.0, and OpenCV 4.1.2.
Usage
1) Place the pretrained model in the folder pretrained.
2) Run the model:
```shell
python test.py --cuda
```
Results
(1) Our network architecture
(2) Our result compare on NYUv2 dataset
Citation
Please cite our paper if you use this code or any of the models:
@article{Tian2020,
author = {Tian Chen⋆, Shijie An⋆, Yuan Zhang, Chongyang Ma, Huayan Wang, Xiaoyan Guo, and Wen Zheng},
title = {Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets},
journal = {},
year = {2020},
}
License
MIT License
Owner
- Name: ShowMeCode
- Login: ansj11
- Kind: user
- Repositories: 2
- Profile: https://github.com/ansj11