Camorph

This is the gitlab project for camorph, a camera parameter converting tool written in python 3.9.

Documentation

Documentation can be found here.

Quickstart

Some quick tips on how to use camorph.

Installation

If you want to work on camorph, clone the repo and install the conda environment by running

conda env create -f camorph_win.yml

Otherwise, you can also install camorph with pip

pip install git+https://github.com/Fraunhofer-IIS/camorph

Usage as Python Library

Use the library to convert camera parameter representations:

import camorph.camorph as camorph
 
 
cams = camorph.read_cameras('COLMAP',r'\\path\to\colmap')
 
camorph.visualize(cams)
 
camorph.write_cameras('fbx', r'\\path\to\file.fbx', cams)

camorph.read_cameras() takes a format name and path as a string and returns a list of Cameras.

camorph.visualize() creates a visualization of Cameras with Matplotlib.

camorph.write_cameras() takes a format name, a path as a string and a list of cameras and writes the output file(s) to the specified path.

Usage as CLI

You can use the command line interface by calling

python -m camorph -h

or when installed with pip

camorph -h

This will output the help for the command line interface

usage: camorph [-h] -i input_path [input_path ...] -if input_format [-o output_path] [-of output_format] [-v]
               [-c config] [-ft file_type] [-pt] [-cr crop] [-s scale] [-id image_dir] [-ci]

Convert Cameras from different formats to each other

optional arguments:
  -h, --help            show this help message and exit
  -i input_path [input_path ...], --input input_path [input_path ...]
                        the input path of the camera file(s) to read
  -if input_format, --input_format input_format
                        the format of the input camera file(s)
  -o output_path, --output output_path
                        the output path where the camera file(s) should be saved
  -of output_format, --output_format output_format
                        the format of the output camera file(s)
  -v, --visualize       when this parameter is present, the cameras will be visualized.
  -c config, --config config
                        the path to a config.json file for missing crucial properties
  -ft file_type, --file_type file_type
                        some formats support different types of output files, for example bin for binary and txt for
                        ascii files
  -pt, --posetrace      treat the input as a posetrace and ignore any source images.
  -cr crop, --crop crop
                        crop source image attributes by the specified top left and bottom right corner. Format:
                        "leftcorner_x,leftcorner_y,rightcorner_x,rightcorner_y". ATTENTION: THIS DOES NOT MODIFY THE IMAGES, ONLY THE PROPERTIES IN THE FILE!
  -s scale, --scale scale
                        scale source image attributes by the specified factor. ATTENTION: THIS DOES NOT MODIFY THE IMAGES, ONLY THE PROPERTIES IN THE FILE!
  -id image_dir, --image-dir image_dir
                        replace the directory for the source images with this.
  -ci, --check-images   check if images exist and are of the right resolution.

For example

camorph -i \path\to\json -if nerf -o \path\to\output -of fbx

Crucial Properties

If there are missing crucial properties, camorph will automatically create a config.json in the target folder. To edit this file, please refer to the "Crucial Properties" section of the documentation

Pose Trace

If you want to convert a camera animation, which does not have source images (sometimes also referred to as pose trace), you can add the -pt argument to ignore any source image requirements.

Cropping and Scaling

This option crops and scales the attributes of images in the file. For example, colmap stores the resolution of the images, which can be modified by this parameter.

❗❗❗ THIS DOES NOT MODIFY THE IMAGES THEMSELVES! ❗❗❗

Currently Supported Formats

Computer Graphics
- FBX (Key: "fbx")
Photogrammetry
- COLMAP (Key: "colmap")
- Meshroom (Key: "meshroom")
- Reality Capture (Key: "reality_capture")
- Local Light Field Fusion (Key: "llff")
Game Engines
- Unity (Key: "unity")
Virtual Reality
- MPEG OMAF (Key: "mpeg_omaf")
Machine Learning
- NeRF (Key: "nerf")

Citation

@article{Brand2022CAMORPHAT,
  title={CAMORPH: A TOOLBOX FOR CONVERSION BETWEEN CAMERA PARAMETER
CONVENTIONS},
  author={B. Brand and Michel B{\"a}tz and Joachim Keinert},
  journal={The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
  year={2022}
}

Fraunhofer-IIS / camorph