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Low level implementations for computer vision in Rust

Project description

kornia-rs

Low level implementations for computer vision in Rust

(🚨 Warning: Unstable Prototype 🚨)

Continuous integration License Slack

Development

To test the project use the following instructions:

  1. Clone the repository in your local directory
git clone https://github.com/kornia/kornia-rs.git
  1. Build the devel.Dockerfile

Let's prepare the development environment with Docker. Make sure you have docker in your system: https://docs.docker.com/engine/install/ubuntu/

cd ./docker && ./build_devel.sh
cd ../ && ./devel.sh
  1. Build the project

(you should be inside the docker container)

pip3 install -e .[dev]
  1. Run the tests
pytest test/

Project details


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Source Distribution

kornia_rs-0.0.1.tar.gz (27.0 kB view hashes)

Uploaded Source

Built Distribution

kornia_rs-0.0.1-cp39-cp39-manylinux_2_31_x86_64.whl (5.4 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.31+ x86-64

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