{"id":21269118,"url":"https://github.com/yanx27/3dgnn_pytorch","last_synced_at":"2025-07-11T05:30:48.471Z","repository":{"id":109498708,"uuid":"159044183","full_name":"yanx27/3DGNN_pytorch","owner":"yanx27","description":"3D Graph Neural Networks for RGBD Semantic Segmentation","archived":false,"fork":false,"pushed_at":"2019-03-16T12:55:46.000Z","size":198,"stargazers_count":230,"open_issues_count":15,"forks_count":43,"subscribers_count":5,"default_branch":"master","last_synced_at":"2024-10-28T08:39:39.615Z","etag":null,"topics":["gnns","point-cloud","pytorch","rgbd","segmentation"],"latest_commit_sha":null,"homepage":"","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/yanx27.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":"2018-11-25T15:08:29.000Z","updated_at":"2024-08-31T10:02:40.000Z","dependencies_parsed_at":"2023-04-06T06:38:26.166Z","dependency_job_id":null,"html_url":"https://github.com/yanx27/3DGNN_pytorch","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/yanx27%2F3DGNN_pytorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yanx27%2F3DGNN_pytorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yanx27%2F3DGNN_pytorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yanx27%2F3DGNN_pytorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yanx27","download_url":"https://codeload.github.com/yanx27/3DGNN_pytorch/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225693808,"owners_count":17509227,"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":["gnns","point-cloud","pytorch","rgbd","segmentation"],"created_at":"2024-11-21T08:07:24.702Z","updated_at":"2024-11-21T08:07:25.231Z","avatar_url":"https://github.com/yanx27.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 3DGNN for RGB-D segmentation\nThis is the Pytorch implementation of [3D Graph Neural Networks for RGBD Semantic Segmentation](http://openaccess.thecvf.com/content_ICCV_2017/papers/Qi_3D_Graph_Neural_ICCV_2017_paper.pdf): \n\n### Data Preparation\n1. Download NYU_Depth_V2 dataset from [here](https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html) and select scenes and save as `./datasets/data/nyu_depth_v2_labeled.mat`\n2. Transfer depth images to hha by yourself from [here](https://github.com/charlesCXK/Depth2HHA) and save in `./datasets/data/hha/`. \n\n### Emviroment\nRequired CUDA (8.0) + pytorch 0.4.1\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyanx27%2F3dgnn_pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyanx27%2F3dgnn_pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyanx27%2F3dgnn_pytorch/lists"}