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toy_vo

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A very simple stereo visual odometry library. Euroc

Run Example

You can download datasets from

Python

pip install toy-vo rerun-sdk==0.32 opencv-python scipy
python3 examples/run_stereo.py -d {your_path/V1_01_easy} -c configs/euroc --rerun

Rust

git clone https://github.com/powei-lin/toy_vo.git && cd toy_vo
cargo run -r --example run_stereo -- -d {your_path/dataset-corridor4_512_16} -c configs/tum_vi --rerun

Calibrate your own camera and run toy-vo

Use camera-intrinsic-calibration and format your images like euroc dataset.

Acknowledgements

Thanks to all the authors of these libraries.

And thanks to Hossam R. for implementing the LM method in tiny-solver.

Metadata

Release files for toy-vo 0.1.1

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toy_vo-0.1.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 abi3 Linux glibc 2.17+ x86-64 Details for toy_vo-0.1.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
toy_vo-0.1.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 abi3 Linux glibc 2.17+ ARM64 Details for toy_vo-0.1.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
toy_vo-0.1.1-cp310-abi3-macosx_11_0_arm64.whl CPython 3.10 abi3 macOS 11.0+ ARM64 Details for toy_vo-0.1.1-cp310-abi3-macosx_11_0_arm64.whl

Total release size: 3.2 MB

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