3D vision and medical imaging in one Python package: 73 algorithms, 43 datasets in one line, Open3D / SimpleITK / PyVista, MCP server for AI agents
3D vision and medical imaging in one Python package. 73 algorithms on point clouds, meshes and volumes · 43 public datasets loadable in one line · Open3D, SimpleITK and PyVista behind one typed object · an MCP server that gives all of it to AI agents.
Ten pipelines, one package: the showcase has the snippet, the skill and the MCP tool for each.
This repository is the PardesLine Python SDK (the pardesline package on PyPI). Everything local is Apache-2.0 and needs no account; the hosted platform (sharing, GPU, viewers) is an optional client inside it.
Read more --------- Load any dataset in one line MSD, AMOS, TotalSegmentator, LUNA16, IXI, VerSe, TCIA collections, OpenNeuro, KITTI, Objaverse, Hugging Face repos... 43 manifests. Files are fetched lazily (HTTP Range into 24 GB archives), verified, cached; the licence travels with the data. Your own folder: pl.scan asks what it cannot know, never guesses. docs/datasets.md Work on one typed object PointCloud, Mesh, Volume, LabelMap know their frame, units, labels, licence and provenance. segment(), tomesh(), topoints(), align(), clean(): conversions are exact or say they are not. docs/catalog.md Run 73 algorithms, locally or on the GPU cloud registration (RANSAC, ICP, CPD, rigid / affine / B-spline / demons), reconstruction, segmentation, SDF, LiDAR, mesh and volume processing; parameters validated before anything runs; same names on your laptop and on the platform. docs/catalog.md · docs/running-modes.md Use Open3D, SimpleITK, PyVista directly obj.toopen3d(), obj.tositk(), obj.topyvista(), pl.o3d / pl.sitk / pl.pv; without t
From the project README.
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