Name | camorph JSON |
Version |
1.0.0
JSON |
| download |
home_page | None |
Summary | Camorph is a python library for converting different camera parameter representations into each other |
upload_time | 2025-07-15 11:47:47 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.9 |
license | The Clear BSD License
Copyright (c) 2022 Fraunhofer IIS
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted (subject to the limitations in the disclaimer below) provided that
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* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
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* Neither the name of the copyright holder nor the names of its
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NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY
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|
keywords |
camera parameter convention
conversion
|
VCS |
 |
bugtrack_url |
|
requirements |
cycler
fonttools
isodate
kiwisolver
matplotlib
numpy
packaging
pillow
pyparsing
pyquaternion
python-dateutil
pyyaml
rdflib
setuptools-scm
six
tomli
typing-extensions
|
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coveralls test coverage |
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# Camorph
<font size=5>
[Paper](https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-2-W1-2022/29/2022/isprs-archives-XLVIII-2-W1-2022-29-2022.pdf)
</font>
<center>
<img src='Header.png' width=90%/>
</center>
This is the gitlab project for camorph, a camera parameter converting tool written in python 3.9.
## Release Notes
### v1.0.0 (July 10, 2025)
* Clarified the meaning of the "MPEG-OMAF" format in the README
### v0.3.6 (April 29, 2025)
* Merged PR regarding COLMAP image path fix
* Merged PR regarding NeRF principal point fix
### v0.3.5 (September 2, 2024)
* Fixed an issue with FULL_OPENCV models when writing binary COLMAP files
### v0.3.4 (June 20, 2024)
* Fixed an issue with shallow copying in the read_file() for NeRF when using individual image resolutions
## Documentation
Documentation can be found [here](docs/index.md).
## 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](docs/sphinx/crucial_properties.md)
### 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 / Immersive Video
- **MPEG-OMAF** (Key: "mpeg_omaf") -> This format is the JSON format used in the software packages RVS (https://gitlab.com/mpeg-i-visual/rvs) and TMIV (https://gitlab.com/mpeg-i-visual/tmiv) which rely on the MPEG-OMAF coordinate system; for short, we called it 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}
}
```
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"description": "# Camorph\n<font size=5>\n\n[Paper](https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-2-W1-2022/29/2022/isprs-archives-XLVIII-2-W1-2022-29-2022.pdf)\n</font>\n<center>\n<img src='Header.png' width=90%/>\n</center>\n\nThis is the gitlab project for camorph, a camera parameter converting tool written in python 3.9.\n\n## Release Notes\n### v1.0.0 (July 10, 2025)\n* Clarified the meaning of the \"MPEG-OMAF\" format in the README\n\n### v0.3.6 (April 29, 2025)\n* Merged PR regarding COLMAP image path fix\n* Merged PR regarding NeRF principal point fix\n### v0.3.5 (September 2, 2024)\n* Fixed an issue with FULL_OPENCV models when writing binary COLMAP files\n### v0.3.4 (June 20, 2024)\n* Fixed an issue with shallow copying in the read_file() for NeRF when using individual image resolutions\n\n## Documentation\n\nDocumentation can be found [here](docs/index.md).\n\n## Quickstart\n\nSome quick tips on how to use camorph.\n\n### Installation\n\nIf you want to work on camorph, clone the repo and install the conda environment by running\n\n```\nconda env create -f camorph_win.yml\n```\n\nOtherwise, you can also install camorph with pip\n\n```\npip install git+https://github.com/Fraunhofer-IIS/camorph\n```\n\n### Usage as Python Library\n\nUse the library to convert camera parameter representations:\n\n```\nimport camorph.camorph as camorph\n \n \ncams = camorph.read_cameras('COLMAP',r'\\\\path\\to\\colmap')\n \ncamorph.visualize(cams)\n \ncamorph.write_cameras('fbx', r'\\\\path\\to\\file.fbx', cams)\n```\n\n``camorph.read_cameras()`` takes a format name and path as a string and returns a list of Cameras.\n\n``camorph.visualize()`` creates a visualization of Cameras with Matplotlib.\n\n``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.\n\n### Usage as CLI\n\nYou can use the command line interface by calling\n```\npython -m camorph -h\n```\nor when installed with pip\n```\ncamorph -h\n```\nThis will output the help for the command line interface\n\n```\nusage: camorph [-h] -i input_path [input_path ...] -if input_format [-o output_path] [-of output_format] [-v]\n [-c config] [-ft file_type] [-pt] [-cr crop] [-s scale] [-id image_dir] [-ci]\n\nConvert Cameras from different formats to each other\n\noptional arguments:\n -h, --help show this help message and exit\n -i input_path [input_path ...], --input input_path [input_path ...]\n the input path of the camera file(s) to read\n -if input_format, --input_format input_format\n the format of the input camera file(s)\n -o output_path, --output output_path\n the output path where the camera file(s) should be saved\n -of output_format, --output_format output_format\n the format of the output camera file(s)\n -v, --visualize when this parameter is present, the cameras will be visualized.\n -c config, --config config\n the path to a config.json file for missing crucial properties\n -ft file_type, --file_type file_type\n some formats support different types of output files, for example bin for binary and txt for\n ascii files\n -pt, --posetrace treat the input as a posetrace and ignore any source images.\n -cr crop, --crop crop\n crop source image attributes by the specified top left and bottom right corner. Format:\n \"leftcorner_x,leftcorner_y,rightcorner_x,rightcorner_y\". ATTENTION: THIS DOES NOT MODIFY THE IMAGES, ONLY THE PROPERTIES IN THE FILE!\n -s scale, --scale scale\n scale source image attributes by the specified factor. 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For example, colmap stores the resolution of the images, which can be modified by this parameter.\n> \u2757\u2757\u2757 **THIS DOES NOT MODIFY THE IMAGES THEMSELVES!** \u2757\u2757\u2757\n\n## Currently Supported Formats\n\n- Computer Graphics\n - **FBX** (Key: \"fbx\")\n\n- Photogrammetry\n - **COLMAP** (Key: \"colmap\")\n - **Meshroom** (Key: \"meshroom\")\n - **Reality Capture** (Key: \"reality_capture\")\n - **Local Light Field Fusion** (Key: \"llff\")\n\n- Game Engines\n - **Unity** (Key: \"unity\")\n\n- Virtual Reality / Immersive Video\n - **MPEG-OMAF** (Key: \"mpeg_omaf\") -> This format is the JSON format used in the software packages RVS (https://gitlab.com/mpeg-i-visual/rvs) and TMIV (https://gitlab.com/mpeg-i-visual/tmiv) which rely on the MPEG-OMAF coordinate system; for short, we called it MPEG-OMAF.\n\n- Machine Learning\n - **NeRF** (Key: \"nerf\")\n\n## Citation \n\n```\n@article{Brand2022CAMORPHAT,\n title={CAMORPH: A TOOLBOX FOR CONVERSION BETWEEN CAMERA PARAMETER\nCONVENTIONS},\n author={B. 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