UPDATE(2024 May 5) Postshot since 0.3.99 can reliably import CSV/PLY from Reality capture. This script is no longer needed.

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RealityCapture to Colmap to Postshot Script

This script was made to simplify the process from this guide: https://gist.github.com/jo-chemla/258e6e40d3d6c2220b29518ff3c17c40 by jo-chemla

This repository contains a Python script designed to automate the process of converting images and data from RealityCapture to a format compatible with Postshot via Colmap.

Prerequisites

• Ensure you have Python installed on your system, and the pip package manager is functional.
• Install Colmap on your system. You can download it from the Colmap github.
• Ensure that colmap.exe and colmap.bat are exposed on your computer's PATH environment variable. This means that you should be able to run colmap from any directory in the command line.

Example paths for colmap exe and bat (depending on your own installation path you need to define):

(location of colmap.bat)

• E:\Program Files\Colmap\COLMAP-3.9.1-windows-cuda

(location of colmap.exe)

• E:\Program Files\Colmap\COLMAP-3.9.1-windows-cuda\bin

These two paths should be added to your system's PATH as environment variables.

Installation

• Open your command line terminal and navigate to the directory where you want to store the script. Example:

cd C:\<some directory>

• Clone the repository:

git clone https://github.com/Maxiviper117/RealityCapture-to-Postshot

• Navigate to the cloned directory:

cd RealityCapture-to-Postshot

Exporting Files from RealityCapture

Export Step 1: the Bundler .out File

Choose a folder to store the exported file.

1. Set Fit option to Inner Region.
2. Set Resolution option to Fit.
3. Ensure Export Images is set to No.
   • We will export the images separately in the next step when exporting the Undistorted images with image list. export option

Export Step 2: the Undistorted Images with Image List

Choose a folder to store the exported file.

1. Set Fit option to Inner Region.
2. Set Resolution option to Fit.
3. Under Export image settings, choose the desired image format (preferably jpg or jpeg).
4. Set Naming Convention to original file name.
5. Enable Customize image path and select the folder to store images.
   • Just store the images in a images folder in the same directory as the .out and .lst files.
6. Leave all other settings as default.

Running the Script

Back in your terminal, where you have navigated to the cloned directory, run the following command to start the web GUI interface:

streamlit run ./WebGUI.py

• Here you must provide the directoy path working directory to the folder containing the .out and .lst files
• As well as the directory path to the folder containing the undistorted images (I added this as you may have choosen a different folder to store the undistorted images in the previous step)
• You can specify the output directory, but it is optional. And it will default a folder named colmap-workspace in the working directory.

• Next once you have provided the paths, click on the Press to Validate Working and Images Directories button to validate the paths.
• If the paths are valid, another button will appear -> Start Conversion Process, press this button to start the conversion process.

Process Complete

Once the process is complete, you will be shown the folder path where the images and bin files are stored. This folder can be simply dragged and dropped into Postshot to start the import process.

Now you can close the browser tab and stop the terminal process.

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Failed to import camera poses error.

If you see this error, when you drag and drop the folder into Postshot, try close and open Postshot again, and drag and drop the folder again.