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PCL)\n\n[![ci](https://github.com/seqsense/pcgol/actions/workflows/ci.yml/badge.svg)](https://github.com/seqsense/pcgol/actions/workflows/ci.yml)\n[![codecov](https://codecov.io/gh/seqsense/pcgol/branch/master/graph/badge.svg?token=tBu1O2VcOR)](https://codecov.io/gh/seqsense/pcgol)\n[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n\n## Overview\n\nThis package implements algorithms to process point cloud data on Go.\nIt's not a clone or porting of [PCL](https://pointclouds.org/).\n\n## Package structure\n\n\u003cdl\u003e\n  \u003cdt\u003emat\u003c/dt\u003e\u003cdd\u003eLinear algebra library for point cloud processing\u003c/dd\u003e\n  \u003cdt\u003epc\u003c/dt\u003e\u003cdd\u003eBinary point cloud data marshaller/unmarshaller and iterators\n    \u003cdl\u003e\n      \u003cdt\u003epc/filter\u003c/dt\u003e\u003cdd\u003ePoint cloud filters like VoxelGrid downsampling filter\u003c/dd\u003e\n      \u003cdt\u003epc/storage\u003c/dt\u003e\u003cdd\u003eStorage to handle spacial structure of point cloud data\u003c/dd\u003e\n      \u003cdt\u003epc/segmentation\u003c/dt\u003e\u003cdd\u003ePoint cloud segmentation algorithms\u003c/dd\u003e\n      \u003cdt\u003epc/sac\u003c/dt\u003e\u003cdd\u003eSample consensus based model parameter estimators\u003c/dd\u003e\n    \u003c/dl\u003e\n  \u003cdd\u003e\n\u003c/dl\u003e\n\n## License\n\nThis package is licensed under [Apache License Version 2.0](./LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseqsense%2Fpcgol","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fseqsense%2Fpcgol","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseqsense%2Fpcgol/lists"}