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COLMAP split and merge Pipeline

This repository provides a framework to automate dataset preparation, perform partitioned or unified sparse reconstructions using COLMAP, and comparing alignment with ground truth camera poses. This code has been tested on 7-Scenes Dataset.


Core Requirements

  • Python 3.11 or 3.12
  • COLMAP Binary Executable: The colmap command must be mapped to your system's environmental PATH variables. Verify your installation by executing:
colmap -h

Localized Bootstrap Deployment

Initialize your virtual environment, isolate configuration parameters, and trigger the programmatic environment setup wrapper:

# Initialize native virtual environment
python -m venv venv

# Activate the isolated environment
# Windows (PowerShell):
.\venv\Scripts\Activate.ps1
# Linux / macOS (Bash):
source venv/bin/activate

# Execute automated module bootstrap setup
python pipeline.py setup --requirements requirements.txt

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Generate overlapping image subsets for reconstruction, alignment, and model merging experiments.

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