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2b6a721345441b59a2ec614bdcd4c457fc86d1631284219b2561d50cadfad13b
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0.856
[ [ -0.55376869, -0.1932619, 0.80993212 ], [ 0.83175109, -0.08268912, 0.54895594 ], [ -0.03911974, 0.97765654, 0.20653651 ] ]
[ -0.0647619, 0.38003285, 0.07235761 ]

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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