{"id":13443689,"url":"https://github.com/Gaozhongpai/PaiConvPoint","last_synced_at":"2025-03-20T17:31:08.984Z","repository":{"id":112486009,"uuid":"264851799","full_name":"Gaozhongpai/PaiConvPoint","owner":"Gaozhongpai","description":"Official repository for the paper \"PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds\" [Classification for uniformly sampled data]","archived":false,"fork":false,"pushed_at":"2021-03-15T02:27:34.000Z","size":692,"stargazers_count":5,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-10-28T07:39:43.335Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Gaozhongpai.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2020-05-18T06:46:37.000Z","updated_at":"2021-08-26T01:59:16.000Z","dependencies_parsed_at":"2023-05-15T07:30:32.169Z","dependency_job_id":null,"html_url":"https://github.com/Gaozhongpai/PaiConvPoint","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/Gaozhongpai%2FPaiConvPoint","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaozhongpai%2FPaiConvPoint/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaozhongpai%2FPaiConvPoint/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaozhongpai%2FPaiConvPoint/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Gaozhongpai","download_url":"https://codeload.github.com/Gaozhongpai/PaiConvPoint/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244660296,"owners_count":20489313,"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":"2024-07-31T03:02:07.172Z","updated_at":"2025-03-20T17:31:03.974Z","avatar_url":"https://github.com/Gaozhongpai.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"\n# PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds [Classification]\n\n![Pai-Conv](data/images/pai-conv.png \"Pai-Conv operation\")\n## Point Cloud Classification\n* Run the training script:\n\n\n``` 1024 points\npython main.py --exp_name=paigcnn_1024 --model=paigcnn --num_points=1024 --k=20 --use_sgd=True\n```\n\n``` 2048 points\npython main.py --exp_name=paigcnn_2048 --model=paigcnn --num_points=2048 --k=40 --use_sgd=True\n```\n\n* Run the evaluation script after training finished:\n\n``` 1024 points\npython main.py --exp_name=paigcnn_1024_eval --model=paigcnn --num_points=1024 --k=20 --use_sgd=True --eval=True --model_path=checkpoints/paigcnn_1024/models/model.t7\n```\n\n``` 2048 points\npython main.py --exp_name=paigcnn_2048_eval --model=paigcnn --num_points=2048 --k=40 --use_sgd=True --eval=True --model_path=checkpoints/paigcnn_2048/models/model.t7\n```\n\n* Run the evaluation script with pretrained models:\n\n``` 1024 points\npython main.py --exp_name=paigcnn_1024_eval --model=paigcnn --num_points=1024 --k=20 --use_sgd=True --eval=True --model_path=pretrained/model.1024.t7\n```\n\n``` 2048 points\npython main.py --exp_name=paigcnn_2048_eval --model=paigcnn --num_points=2048 --k=40 --use_sgd=True --eval=True --model_path=pretrained/model.2048.t7\n```\n\n# Data Organization\n\nThe following is the organization of the dataset for 8192 points expected by the code:\n\n    * dataset/\n        * train/ (created by data_generation.py)\n        * test/ (created by data_generation.py)\n\n#### Acknowlegements:\n\nThe structure of this codebase is borrowed from [DGCNN](https://github.com/WangYueFt/dgcnn).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FGaozhongpai%2FPaiConvPoint","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FGaozhongpai%2FPaiConvPoint","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FGaozhongpai%2FPaiConvPoint/lists"}