{"id":13443969,"url":"https://github.com/fxia22/pointnet.pytorch","last_synced_at":"2025-05-15T08:09:05.195Z","repository":{"id":37359456,"uuid":"88309501","full_name":"fxia22/pointnet.pytorch","owner":"fxia22","description":"pytorch implementation for \"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation\"  https://arxiv.org/abs/1612.00593","archived":false,"fork":false,"pushed_at":"2023-03-23T19:29:57.000Z","size":229,"stargazers_count":2233,"open_issues_count":58,"forks_count":637,"subscribers_count":23,"default_branch":"master","last_synced_at":"2025-04-14T12:18:20.250Z","etag":null,"topics":[],"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/fxia22.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":"2017-04-14T23:05:17.000Z","updated_at":"2025-04-13T08:03:09.000Z","dependencies_parsed_at":"2024-01-25T20:03:49.283Z","dependency_job_id":"fff38077-3600-488e-b0d3-312527bca80b","html_url":"https://github.com/fxia22/pointnet.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/fxia22%2Fpointnet.pytorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fxia22%2Fpointnet.pytorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fxia22%2Fpointnet.pytorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fxia22%2Fpointnet.pytorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fxia22","download_url":"https://codeload.github.com/fxia22/pointnet.pytorch/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248877967,"owners_count":21176244,"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":[],"created_at":"2024-07-31T03:02:15.343Z","updated_at":"2025-04-14T12:18:24.166Z","avatar_url":"https://github.com/fxia22.png","language":"Python","readme":"# PointNet.pytorch\nThis repo is implementation for PointNet(https://arxiv.org/abs/1612.00593) in pytorch. The model is in `pointnet/model.py`.\n\nIt is tested with pytorch-1.0.\n\n# Download data and running\n\n```\ngit clone https://github.com/fxia22/pointnet.pytorch\ncd pointnet.pytorch\npip install -e .\n```\n\nDownload and build visualization tool\n```\ncd scripts\nbash build.sh #build C++ code for visualization\nbash download.sh #download dataset\n```\n\nTraining \n```\ncd utils\npython train_classification.py --dataset \u003cdataset path\u003e --nepoch=\u003cnumber epochs\u003e --dataset_type \u003cmodelnet40 | shapenet\u003e\npython train_segmentation.py --dataset \u003cdataset path\u003e --nepoch=\u003cnumber epochs\u003e \n```\n\nUse `--feature_transform` to use feature transform.\n\n# Performance\n\n## Classification performance\n\nOn ModelNet40:\n\n|  | Overall Acc | \n| :---: | :---: | \n| Original implementation | 89.2 | \n| this implementation(w/o feature transform) | 86.4 | \n| this implementation(w/ feature transform) | 87.0 | \n\nOn [A subset of shapenet](http://web.stanford.edu/~ericyi/project_page/part_annotation/index.html)\n\n|  | Overall Acc | \n| :---: | :---: | \n| Original implementation | N/A | \n| this implementation(w/o feature transform) | 98.1 | \n| this implementation(w/ feature transform) | 97.7 | \n\n## Segmentation performance\n\nSegmentation on  [A subset of shapenet](http://web.stanford.edu/~ericyi/project_page/part_annotation/index.html).\n\n| Class(mIOU) | Airplane | Bag| Cap|Car|Chair|Earphone|Guitar|Knife|Lamp|Laptop|Motorbike|Mug|Pistol|Rocket|Skateboard|Table\n| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | \n| Original implementation |  83.4 | 78.7 | 82.5| 74.9 |89.6| 73.0| 91.5| 85.9| 80.8| 95.3| 65.2| 93.0| 81.2| 57.9| 72.8| 80.6| \n| this implementation(w/o feature transform) | 73.5 | 71.3 | 64.3 | 61.1 | 87.2 | 69.5 | 86.1|81.6| 77.4|92.7|41.3|86.5|78.2|41.2|61.0|81.1|\n| this implementation(w/ feature transform) |  |  |  |  | 87.6 |  | | | | | | | | | |81.0|\n\nNote that this implementation trains each class separately, so classes with fewer data will have slightly lower performance than reference implementation.\n\nSample segmentation result:\n![seg](https://raw.githubusercontent.com/fxia22/pointnet.pytorch/master/misc/show3d.png?token=AE638Oy51TL2HDCaeCF273X_-Bsy6-E2ks5Y_BUzwA%3D%3D)\n\n# Links\n\n- [Project Page](http://stanford.edu/~rqi/pointnet/)\n- [Tensorflow implementation](https://github.com/charlesq34/pointnet)\n","funding_links":[],"categories":["Python","Paper implementations｜论文实现","Model Deployment library","Paper implementations"],"sub_categories":["Other libraries｜其他库:","PyTorch \u003ca name=\"pytorch\"/\u003e","Other libraries:"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffxia22%2Fpointnet.pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffxia22%2Fpointnet.pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffxia22%2Fpointnet.pytorch/lists"}