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camera-intrinsic-calibration

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A pure rust camera intrinsic calibration tool.

Installation

# cargo install cli
cargo install camera-intrinsic-calibration
# Or pip install cli
pip install camera-intrinsic-calibration
# Or pip install cli with rerun
pip install 'camera-intrinsic-calibration[rerun]'

Or download from the latest release.

CLI Usage

# camera-calibration-rs
ccrs -h

# run intrinsic calibration on TUM vi dataset
# Download and untar
wget https://vision.in.tum.de/tumvi/exported/euroc/1024_16/dataset-calib-cam1_1024_16.tar
tar xf dataset-calib-cam1_1024_16.tar

# [Optional] export RUST_LOG=trace
ccrs dataset-calib-cam1_1024_16 --model eucm

Visualize details after calibration

# use cargo to install rerun
cargo install rerun-cli --version 0.38.1
# or use pip to install rerun
pip install rerun-sdk==0.38.1
# visualize result
rerun results/20YYMMDD_HH_MM_SS/logging.rrd
example detection

Supported formats

Dataset format

  • Euroc (default)
    dataset_root
    └── mav0
        ├── cam0
        │   └── data
        │       ├── {time_stamp}.png
        │       ├── {time_stamp}.png
        │       └── {time_stamp}.png
        └── cam1
            └── data
                ├── {time_stamp}.png
                ├── {time_stamp}.png
                └── {time_stamp}.png
    
  • General --dataset-format general
    dataset_root
    ├── cam0
    │   ├── any_file_name.png
    │   ├── any_file_name.png
    │   └── any_file_name.png
    └── cam1
        ├── any_file_name.png
        ├── any_file_name.png
        └── any_file_name.png
    
    Images can be either .png or .jpg, but .png is preferred if possible. PNG is lossless compression, while JPG is not.

Camera models

  • Extended Unified (EUCM)
  • Extended Unified with Tangential (EUCMT)
  • Unified Camera Model (UCM)
  • Kannala Brandt (KB4) aka OpenCV Fisheye
  • OpenCV (OPENCV5) aka plumb_bob in ROS
  • F-theta (FTHETA) by NVidia

Examples

cargo run -r --example convert_model

Calibrate your own camera

Please follow the tutorial.

Acknowledgements

Links:

Papers:

  • Kukelova, Zuzana, et al. "Radial distortion homography." Proceedings of the IEEE conference on computer vision and pattern recognition. 2015.

TODO

  • Multi-camera extrinsic
  • More calibration info

Metadata

Release files for camera-intrinsic-calibration 0.12.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for camera-intrinsic-calibration 0.12.0
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camera_intrinsic_calibration-0.12.0-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details

Release files / camera_intrinsic_calibration-0.12.0-py3-none-macosx_11_0_arm64.whl

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