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The Rerun Logging SDK

Project description

The Rerun Python Log SDK

Rerun is an SDK for logging computer vision and robotics data paired with a visualizer for exploring that data over time. It lets you debug and understand the internal state and data of your systems with minimal code.

Rerun Viewer

Install

pip3 install rerun-sdk

ℹ️ Note: The Python module is called rerun, while the package published on PyPI is rerun-sdk.

Example

import rerun as rr
import numpy as np

rr.spawn()

positions = np.vstack([xyz.ravel() for xyz in np.mgrid[3 * [slice(-5, 5, 10j)]]]).T
colors = np.vstack([rgb.ravel() for rgb in np.mgrid[3 * [slice(0, 255, 10j)]]]).astype(np.uint8).T

rr.log_points("my_points", positions=positions, colors=colors)

Resources

Logging and viewing in different processes

You can run the viewer and logger in different processes.

In one terminal, start up a viewer with a server that the SDK can connect to:

python3 -m rerun

In a second terminal, run the example with the --connect option:

python3 examples/python/car/main.py --connect

From Source

Setup:

  • Install the Rust toolchain: https://rustup.rs/
  • git clone git@github.com:rerun-io/rerun.git && cd rerun
  • Run ./scripts/setup_dev.sh.
  • Make sure cargo --version prints 1.69.0 once you are done

Building

To build from source and install Rerun into your current Python environment run:

python3 -m pip install --upgrade pip
pip3 install -r rerun_py/requirements-build.txt
pip3 install "./rerun_py"

ℹ️ Note: If you are unable to upgrade pip to version >=21.3, you need to pass --use-feature=in-tree-build to the pip3 install command.

Development

To set up a new virtualenv for development:

just py-dev-env
# For bash/zsh users:
source venv/bin/activate
# Or if you're using fish:
source venv/bin/activate.fish

Build, test, and run

For ease of development you can build and install in "editable" mode. This means you can edit the rerun Python code without having to re-build and install to see changes.

# Build the SDK and install in develop mode into the virtualenv
# Re-run this if the Rust code has changed!
just py-build

Test

# Run the unit tests
just py-test

# Run the linting checks
just py-lint

# Run an example
python examples/python/car/main.py

Building an installable Python Wheel

The Python bindings to the core Rust library are built using https://github.com/PyO3/pyo3.

To build an installable Python wheel run:

pip install -r rerun_py/requirements-build.txt
maturin build -m rerun_py/Cargo.toml --release

By default the wheels will be built to target/wheels (use the -o flag to set a different output directory).

Now you can install rerun in any Python3 environment using:

pip3 install target/wheels/*.whl

Viewing the docs locally

The rerun python docs are generated using mkdocs

Install the doc requirements:

pip install -r rerun_py/requirements-doc.txt

Serve the docs:

mkdocs serve -f rerun_py/mkdocs.yml -w rerun_py

or

just py-docs-serve

For information on how the docs system works, see: docs/docs.md

Troubleshooting

You can run with RUST_LOG=debug to get more output out of the rerun SDK.

If you are using an Apple-silicon Mac, make sure rustc -vV outputs host: aarch64-apple-darwin. If not, this should fix it:

rustup set default-host aarch64-apple-darwin && rustup install 1.69

If you want to switch back, this is how:

rustup set default-host x86_64-apple-darwin && rustup install 1.69

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