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101
202
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000
101
202
303
404
505
000
101
202
303
404
505
000
101
202
303
404
505
000
101
202
303
404
505
000
101
202
303
404
505
000
101
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505

This is the repository to download and prepare the MBZUAI campus reconstruction

Installation

TL,DR --> run install.sh (if it's there)

Conda environment

conda create --name nerfstudio -y python=3.8
conda activate nerfstudio
pip install --upgrade pip

CUDA Dependencies

pip install torch==2.1.2+cu118 torchvision==0.16.2+cu118 --extra-index-url https://download.pytorch.org/whl/cu118

conda install -c "nvidia/label/cuda-11.8.0" cuda-toolkit
pip install ninja git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch

NERFstudio install

pip install nerfstudio

COLMAP install

conda install -y conda-forge::colmap

GLOMAP install

conda install -y conda-forge::glomap

ffmpeg for processing images

conda install conda-forge::ffmpeg

Reproduce results

1. Pre-Process individual videos sequences

python prepare_data.py

2. Reconstruct the campus hierarchically

first run the run_core.sh script. This will reconstruct a base structure, upon which all the other reconstructions will be added to. This is the most important one.

For the other scenes, for now just copy the run_template.sh file and modify according to the current scane name and file. Usually I run line by line to make sure everything is correct, but theoretically you could just run the entire file.

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