| [build-system] | |
| requires = ["setuptools>=61.0"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "rtc-pi05" | |
| version = "0.1.0" | |
| description = "Real-Time Chunking (RTC) inference for openpi pi0.5 flow policies (arXiv:2506.07339)" | |
| readme = "README.md" | |
| requires-python = ">=3.11" | |
| license = { text = "MIT" } | |
| authors = [{ name = "Daniel Feng" }] | |
| keywords = ["robotics", "flow-matching", "pi0", "pi05", "real-time-chunking", "openpi"] | |
| # Core (rtc.controller + rtc.masking) needs only numpy. The torch sampler and the | |
| # openpi adapter are pulled in lazily; install the extras for those paths. | |
| dependencies = [ | |
| "numpy>=1.24", | |
| ] | |
| [project.optional-dependencies] | |
| # rtc.sampler + rtc.pi0 (the guided-inpainting loop runs under torch.autograd). | |
| torch = ["torch>=2.4"] | |
| # rtc.pi0 also needs a working openpi install providing PI0Pytorch. openpi is not | |
| # on PyPI: install it from source (https://github.com/Physical-Intelligence/openpi) | |
| # into the same environment. Listed here for documentation, not resolved by pip. | |
| # openpi = ["openpi"] | |
| dev = ["pytest>=7"] | |
| [tool.setuptools.packages.find] | |
| include = ["rtc*"] | |
| [tool.pytest.ini_options] | |
| testpaths = ["tests"] | |