KeypointNet:KeypointNet

上传者: 42122340 | 上传时间: 2022-05-06 15:36:38 | 文件大小: 1.54MB | 文件类型: ZIP
KeypointNet 完整的数据集现在可用! KeypointNet是一个大规模且多样化的3D关键点数据集,通过利用基于ShapeNet模型的众多人工注释,包含来自16个对象类别的83,231个关键点和8,329个3D模型。 我们的论文可在上获得并被CVPR 2020接受。您可以在以下位置浏览我们的数据集 。 消息! 现在发布了两个有趣的无监督关键点检测器: (无序但SE(3)不变)和 (非SE(3)不变但有序)! 变更记录 有关更新的数据集信息,请参阅 关键点数据 数据集可以从或下载。 带注释的JSON数据放置在注释下。 此外,我们还提供了下PCD的每个ShapeNet模型采样点云(2048点)。 我们已经为飞机(1022型号),浴缸(492型号),床(146型号),瓶子(380型号),瓶盖(38型号),汽车(1002型号),椅子(999型号),吉他等标签进行了处理和清洗。

文件下载

资源详情

[{"title":"( 92 个子文件 1.54MB ) KeypointNet:KeypointNet","children":[{"title":"KeypointNet-master","children":[{"title":"pcds","children":[{"title":"03001627","children":[{"title":"88382b877be91b2a572f8e1c1caad99e.pcd <span style='color:#111;'> 75.08KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":".gitignore <span style='color:#111;'> 253B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 5.14KB </span>","children":null,"spread":false},{"title":"splits","children":[{"title":"test.txt <span style='color:#111;'> 67.59KB </span>","children":null,"spread":false},{"title":"val.txt <span style='color:#111;'> 33.69KB </span>","children":null,"spread":false},{"title":"train.txt <span style='color:#111;'> 235.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"CHANGELOG.md <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"examples","children":[{"title":"visualize.py <span style='color:#111;'> 3.16KB </span>","children":null,"spread":false},{"title":"captures","children":[{"title":"ply.png <span style='color:#111;'> 101.79KB </span>","children":null,"spread":false},{"title":"obj.png <span style='color:#111;'> 92.48KB </span>","children":null,"spread":false},{"title":"pcd.png <span style='color:#111;'> 68.20KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"models","children":[{"title":"03001627","children":[{"title":"88382b877be91b2a572f8e1c1caad99e","children":[{"title":"models","children":[{"title":"model_normalized.ply <span style='color:#111;'> 142.65KB </span>","children":null,"spread":false},{"title":"model_normalized.mtl <span style='color:#111;'> 612B </span>","children":null,"spread":false},{"title":"model_normalized.obj <span style='color:#111;'> 229.01KB </span>","children":null,"spread":false}],"spread":true},{"title":"images","children":[{"title":"texture1.jpg <span style='color:#111;'> 15.98KB </span>","children":null,"spread":false},{"title":"texture0.jpg <span style='color:#111;'> 8.33KB </span>","children":null,"spread":false},{"title":"texture2.jpg <span style='color:#111;'> 6.33KB </span>","children":null,"spread":false},{"title":"texture3.jpg <span style='color:#111;'> 8.16KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true},{"title":"benchmark_scripts","children":[{"title":"env.yml <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 471B </span>","children":null,"spread":false},{"title":"setup_env.sh <span style='color:#111;'> 215B </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 4.02KB </span>","children":null,"spread":false},{"title":"dataset.py <span style='color:#111;'> 8.00KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 2.70KB </span>","children":null,"spread":false},{"title":"metrics.py <span style='color:#111;'> 5.18KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 3.25KB </span>","children":null,"spread":false},{"title":"models","children":[{"title":"pointnet.py <span style='color:#111;'> 7.17KB </span>","children":null,"spread":false},{"title":"pointnet2.py <span style='color:#111;'> 10.66KB </span>","children":null,"spread":false},{"title":"dgcnn.py <span style='color:#111;'> 6.23KB </span>","children":null,"spread":false},{"title":"spidercnn.py <span style='color:#111;'> 8.15KB </span>","children":null,"spread":false},{"title":"pointconv.py <span style='color:#111;'> 20.97KB </span>","children":null,"spread":false},{"title":"rscnn.py <span style='color:#111;'> 5.97KB </span>","children":null,"spread":false},{"title":"rsnet.py <span style='color:#111;'> 9.06KB </span>","children":null,"spread":false},{"title":"pointnet2_utils","children":[{"title":"etw_pytorch_utils","children":[{"title":"seq.py <span style='color:#111;'> 5.16KB </span>","children":null,"spread":false},{"title":"persistent_dataloader.py <span style='color:#111;'> 16.39KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 360B </span>","children":null,"spread":false},{"title":"viz.py <span style='color:#111;'> 6.02KB </span>","children":null,"spread":false},{"title":"pytorch_utils.py <span style='color:#111;'> 23.85KB </span>","children":null,"spread":false},{"title":"visdom_observer.py <span style='color:#111;'> 2.95KB </span>","children":null,"spread":false},{"title":"sacred_trainer.py <span style='color:#111;'> 7.12KB </span>","children":null,"spread":false}],"spread":false},{"title":"utils.py <span style='color:#111;'> 9.92KB </span>","children":null,"spread":false},{"title":"custom_ops","children":[{"title":"setup.py <span style='color:#111;'> 927B </span>","children":null,"spread":false},{"title":"_ext_src","children":[{"title":"include","children":[{"title":"interpolate.h <span style='color:#111;'> 569B </span>","children":null,"spread":false},{"title":"utils.h <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"ball_query.h <span style='color:#111;'> 346B </span>","children":null,"spread":false},{"title":"cuda_utils.h <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false},{"title":"sampling.h <span style='color:#111;'> 443B </span>","children":null,"spread":false},{"title":"group_points.h <span style='color:#111;'> 366B </span>","children":null,"spread":false}],"spread":false},{"title":"src","children":[{"title":"ball_query_gpu.cu <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false},{"title":"interpolate.cpp <span style='color:#111;'> 3.41KB </span>","children":null,"spread":false},{"title":"interpolate_gpu.cu <span style='color:#111;'> 5.20KB </span>","children":null,"spread":false},{"title":"sampling_gpu.cu <span style='color:#111;'> 7.03KB </span>","children":null,"spread":false},{"title":"ball_query.cpp <span style='color:#111;'> 1.20KB </span>","children":null,"spread":false},{"title":"group_points.cpp <span style='color:#111;'> 2.05KB </span>","children":null,"spread":false},{"title":"group_points_gpu.cu <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"bindings.cpp <span style='color:#111;'> 753B </span>","children":null,"spread":false},{"title":"sampling.cpp <span style='color:#111;'> 2.97KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false}],"spread":false},{"title":"rscnn_utils","children":[{"title":"custom_ops","children":[{"title":"src_root","children":[{"title":"cinclude","children":[{"title":"interpolate.h <span style='color:#111;'> 506B </span>","children":null,"spread":false},{"title":"utils.h <span style='color:#111;'> 983B </span>","children":null,"spread":false},{"title":"ball_query.h <span style='color:#111;'> 197B </span>","children":null,"spread":false},{"title":"cuda_utils.h <span style='color:#111;'> 1.27KB </span>","children":null,"spread":false},{"title":"sampling.h <span style='color:#111;'> 439B </span>","children":null,"spread":false},{"title":"group_points.h <span style='color:#111;'> 339B </span>","children":null,"spread":false}],"spread":false},{"title":"csrc","children":[{"title":"ball_query_gpu.cu <span style='color:#111;'> 1.59KB </span>","children":null,"spread":false},{"title":"interpolate.cpp <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"interpolate_gpu.cu <span style='color:#111;'> 4.42KB </span>","children":null,"spread":false},{"title":"sampling_gpu.cu <span style='color:#111;'> 6.03KB </span>","children":null,"spread":false},{"title":"ball_query.cpp <span style='color:#111;'> 730B </span>","children":null,"spread":false},{"title":"interpolate.c <span style='color:#111;'> 1.94KB </span>","children":null,"spread":false},{"title":"group_points.cpp <span style='color:#111;'> 1.30KB </span>","children":null,"spread":false},{"title":"group_points.c <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"group_points_gpu.cu <span style='color:#111;'> 2.45KB </span>","children":null,"spread":false},{"title":"sampling.c <span style='color:#111;'> 1.62KB </span>","children":null,"spread":false},{"title":"bindings.cpp <span style='color:#111;'> 787B </span>","children":null,"spread":false},{"title":"ball_query.c <span style='color:#111;'> 727B </span>","children":null,"spread":false},{"title":"sampling.cpp <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"setup.py <span style='color:#111;'> 596B </span>","children":null,"spread":false}],"spread":false},{"title":"pointnet2_utils.py <span style='color:#111;'> 11.67KB </span>","children":null,"spread":false},{"title":"pytorch_utils.py <span style='color:#111;'> 22.07KB </span>","children":null,"spread":false},{"title":"pointnet2_modules.py <span style='color:#111;'> 9.08KB </span>","children":null,"spread":false}],"spread":false},{"title":"graphcnn.py <span style='color:#111;'> 7.05KB </span>","children":null,"spread":false},{"title":"spidercnn_utils","children":[{"title":"utils.py <span style='color:#111;'> 24.15KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"config","children":[{"title":"network","children":[{"title":"dgcnn.yaml <span style='color:#111;'> 78B </span>","children":null,"spread":false},{"title":"graphcnn.yaml <span style='color:#111;'> 78B </span>","children":null,"spread":false},{"title":"rscnn.yaml <span style='color:#111;'> 80B </span>","children":null,"spread":false},{"title":"pointconv.yaml <span style='color:#111;'> 34B </span>","children":null,"spread":false},{"title":"pointnet.yaml <span style='color:#111;'> 58B </span>","children":null,"spread":false},{"title":"rsnet.yaml <span style='color:#111;'> 48B </span>","children":null,"spread":false},{"title":"pointnet2.yaml <span style='color:#111;'> 49B </span>","children":null,"spread":false},{"title":"spidercnn.yaml <span style='color:#111;'> 77B </span>","children":null,"spread":false}],"spread":false},{"title":"config.yaml <span style='color:#111;'> 617B </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"annotations","children":[{"title":"chair.json <span style='color:#111;'> 3.26MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明