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README.md

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+---
+language:
+  - en
+pretty_name: "MBZUAI Campus Reconstruction Dataset"
+tags:
+  - 3D reconstruction
+  - computer vision
+  - NeRF
+license: "mit"
+task_categories:
+  - image-to-3d
+  - robotics
+  - other
+
+## Dataset Description
+
+description: |
+  This dataset provides the necessary files and scripts to reconstruct the MBZUAI campus using COLMAP, GLOMAP, and NERFstudio. It contains preprocessed video sequences and metadata required for hierarchical 3D reconstruction.
+
+  The dataset includes:
+  - Raw video sequences
+  - Preprocessed frames
+  - Calibration and metadata
+  - Reconstruction scripts
+
+  The hierarchical reconstruction starts with a base structure, followed by incremental updates with additional sequences.
+
+## Installation
+
+installation: |
+  This repository relies on COLMAP, GLOMAP, and NERFstudio. Ensure these dependencies are installed before running the scripts.
+
+## Reproduce Results
+
+steps: |
+  1. **Download the Files**
+     - Clone the repository and extract the provided dataset folders.
+
+  2. **Process Individual Video Sequences**
+     - Run the following command to preprocess the video sequences:
+       ```bash
+       python prepare_data.py
+       ```
+
+  3. **Reconstruct the Campus Hierarchically**
+     - Run the `core.sh` script to reconstruct the base structure:
+       ```bash
+       ./core.sh
+       ```
+     - For additional scenes, copy and modify `run_template.sh` to match the scene name and file, then execute it step-by-step or as a whole.
+
+## Dataset Purpose
+
+use_cases: |
+  This dataset is essential for:
+  - 3D environment reconstruction
+  - Research on NeRF-based scene reconstruction
+  - Structure-from-Motion experiments
+  - Hierarchical multi-view scene understanding
+---
+
+# This is the repository to download and prepare the MBZUAI campus reconstruction
+
+## Installation 
+
+TL,DR --> run install.sh (if it's there)
+
+Conda environment
+
+```bash 
+conda create --name nerfstudio -y python=3.8
+conda activate nerfstudio
+pip install --upgrade pip
+```
+
+CUDA Dependencies
+
+```bash
+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
+
+```bash
+pip install nerfstudio
+```
+
+COLMAP install
+
+```bash
+conda install conda-forge::colmap
+```
+
+
+## Reproduce results
+
+### 1. Download the files 
+
+Once you downlaoded this repository you should be ready to go, you just need to unzip the folders
+
+### 2. Process individual videos sequences
+
+bash
+python prepare_data.py
+
+
+
+### 3. Reconstruct the campus hierarchically
+
+first run the 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.
+
+TESTING LFS