https://github.com/chansoopark98/d3vo-tensorflow

D3VO tensorflow implementation
https://github.com/chansoopark98/d3vo-tensorflow

cpp d3vo deep-learning deep-neural-networks keras monodepth2 opencv python pytorch slam tensorflow visual-odom visual-odometry

Last synced: about 1 year ago
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D3VO tensorflow implementation

• Host: GitHub
• URL: https://github.com/chansoopark98/d3vo-tensorflow
• Owner: chansoopark98
• License: mit
• Created: 2025-03-28T02:42:46.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-04T11:34:50.000Z (about 1 year ago)
• Last Synced: 2025-04-04T12:29:03.862Z (about 1 year ago)
• Topics: cpp, d3vo, deep-learning, deep-neural-networks, keras, monodepth2, opencv, python, pytorch, slam, tensorflow, visual-odom, visual-odometry
• Language: C++
• Homepage:
• Size: 5.46 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# D3VO-tensorflow

D3VO tensorflow implementation

[![Github All Releases](https://img.shields.io/github/downloads/chansoopark98/D3VO-tensorflow/total.svg)]() 



 

 

 

 

 




 

 

 

 

 

 

 

 

 




# Installation

## 1. Setup virtual environment

```

conda create -n vslam python=3.10

conda activate vslam

## 2. Setup g2opy

```

cd g2opy

mkdir build

cd build

cmake ..

make -j8

cd ..

pip install setuptools==58.2.0

python setup.py install

cd ../

pip install -r requierments.txt

```

## 2.