{"id":13443686,"url":"https://github.com/dkoguciuk/mesh2pointcloud","last_synced_at":"2025-03-20T17:31:06.027Z","repository":{"id":104122573,"uuid":"180841531","full_name":"dkoguciuk/mesh2pointcloud","owner":"dkoguciuk","description":"A mini scripts to sample ModelNet40 or ShapeNetCore55v2 meshes into 3D point clouds","archived":false,"fork":false,"pushed_at":"2019-04-11T17:17:22.000Z","size":5,"stargazers_count":19,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-10-28T07:39:42.270Z","etag":null,"topics":["3d","data","deep-learning","machine-learning"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dkoguciuk.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2019-04-11T17:13:41.000Z","updated_at":"2024-09-19T06:27:48.000Z","dependencies_parsed_at":null,"dependency_job_id":"c04d3d57-7d49-44bf-ad8e-93b8c9b05170","html_url":"https://github.com/dkoguciuk/mesh2pointcloud","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkoguciuk%2Fmesh2pointcloud","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkoguciuk%2Fmesh2pointcloud/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkoguciuk%2Fmesh2pointcloud/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkoguciuk%2Fmesh2pointcloud/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dkoguciuk","download_url":"https://codeload.github.com/dkoguciuk/mesh2pointcloud/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244660284,"owners_count":20489312,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["3d","data","deep-learning","machine-learning"],"created_at":"2024-07-31T03:02:07.097Z","updated_at":"2025-03-20T17:31:01.013Z","avatar_url":"https://github.com/dkoguciuk.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# mesh2pointcloud\n\nThis is a mini script to sample [ModelNet40](http://modelnet.cs.princeton.edu/) or [ShapeNetCore55v2](https://www.shapenet.org/) meshes into 3D point clouds, which are further consumed by PointNet or other set--based classification architectures. For now only random sampling is implemented.\n\n----------\n\n### Usage\n\nTo convert ShapeNetCore55V2 meshes into 3D point clouds with 1024 points:\n```\npython3 shapenet_obj_2_hdf5.py -i //media/daniel/HDD/ShapeNetCore_v2_orig -o /media/daniel/HDD/ShapeNetCore_v2 -s 1024\n```\nTo convert ModelNet40 meshes into 3D point clouds with 1024 points:\n```\npython3 modelnet_off_2_hdf5.py -i //media/daniel/HDD/ShapeNetCore_v2_orig -o /media/daniel/HDD/ShapeNetCore_v2 -s 1024\n```\n\n### License\n\nThe code is released under MIT License (see LICENSE file for details).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdkoguciuk%2Fmesh2pointcloud","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdkoguciuk%2Fmesh2pointcloud","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdkoguciuk%2Fmesh2pointcloud/lists"}