SNE-RoadSeg2:Rui Rui(Ranger)Fan&Hengli Wang在PyTorch的SNE-RoadSeg,ECCV 2020,但现在我们对其进行了改进-源码

上传者: 42135773 | 上传时间: 2021-04-05 16:00:19 | 文件大小: 20.11MB | 文件类型: ZIP
English | SNE-RoadSeg2 介绍 此SNE-RoadSeg2基于SNE-RoadSeg的官方pytorch实现的,已被接受。这是他们的。 在此,我们为提供了培训和测试设置。我们在Python 3.7,CUDA 10.0,cuDNN 7和PyTorch 1.1中测试我们的代码。我们提供Dockerfile来构建我们使用的Dockerfile映像。 设置 请根据以下文件夹结构设置KITTI道路数据集和预训练的权重: SNE-RoadSeg |-- checkpoints | |-- kitti | | |-- kitti_net_RoadSeg.pth |-- data |-- datasets | |-- kitti | | |-- training | | | |-- calib | | | |-- depth_u16 |

文件下载

资源详情

[{"title":"( 46 个子文件 20.11MB ) SNE-RoadSeg2:Rui Rui(Ranger)Fan&Hengli Wang在PyTorch的SNE-RoadSeg,ECCV 2020,但现在我们对其进行了改进-源码","children":[{"title":"SNE-RoadSeg2-master","children":[{"title":"train.py <span style='color:#111;'> 5.92KB </span>","children":null,"spread":false},{"title":"models","children":[{"title":"roadseg_model.py <span style='color:#111;'> 2.59KB </span>","children":null,"spread":false},{"title":"sne_model.py <span style='color:#111;'> 3.44KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"base_model.py <span style='color:#111;'> 6.17KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"networks.cpython-37.pyc <span style='color:#111;'> 8.01KB </span>","children":null,"spread":false},{"title":"sne_model.cpython-37.pyc <span style='color:#111;'> 2.55KB </span>","children":null,"spread":false},{"title":"base_model.cpython-37.pyc <span style='color:#111;'> 5.79KB </span>","children":null,"spread":false},{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"roadseg_model.cpython-37.pyc <span style='color:#111;'> 2.53KB </span>","children":null,"spread":false}],"spread":true},{"title":"networks.py <span style='color:#111;'> 10.88KB </span>","children":null,"spread":false}],"spread":true},{"title":"run_example.py <span style='color:#111;'> 2.48KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 2.61KB </span>","children":null,"spread":false},{"title":"paper-surface.jpg <span style='color:#111;'> 45.38KB </span>","children":null,"spread":false},{"title":"Dockerfile <span style='color:#111;'> 948B </span>","children":null,"spread":false},{"title":"scripts","children":[{"title":"train.sh <span style='color:#111;'> 81B </span>","children":null,"spread":false},{"title":"test.sh <span style='color:#111;'> 116B </span>","children":null,"spread":false},{"title":"run_example.sh <span style='color:#111;'> 79B </span>","children":null,"spread":false}],"spread":true},{"title":"doc","children":[{"title":"sne-roadseg.png <span style='color:#111;'> 366.52KB </span>","children":null,"spread":false},{"title":"kitti.gif <span style='color:#111;'> 18.94MB </span>","children":null,"spread":false},{"title":"ReadmeChinese.md <span style='color:#111;'> 4.13KB </span>","children":null,"spread":false}],"spread":true},{"title":"examples","children":[{"title":"depth_u16.png <span style='color:#111;'> 241.43KB </span>","children":null,"spread":false},{"title":"rgb.png <span style='color:#111;'> 721.29KB </span>","children":null,"spread":false}],"spread":true},{"title":"datasets","children":[{"title":"palette.txt <span style='color:#111;'> 2.50KB </span>","children":null,"spread":false}],"spread":true},{"title":"util","children":[{"title":"util.py <span style='color:#111;'> 3.87KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"util.cpython-37.pyc <span style='color:#111;'> 3.75KB </span>","children":null,"spread":false},{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 138B </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"options","children":[{"title":"train_options.py <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"base_options.py <span style='color:#111;'> 4.40KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"train_options.cpython-37.pyc <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"test_options.cpython-37.pyc <span style='color:#111;'> 870B </span>","children":null,"spread":false},{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 141B </span>","children":null,"spread":false},{"title":"base_options.cpython-37.pyc <span style='color:#111;'> 3.70KB </span>","children":null,"spread":false}],"spread":false},{"title":"test_options.py <span style='color:#111;'> 648B </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 4.33KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"__init__.py <span style='color:#111;'> 2.30KB </span>","children":null,"spread":false},{"title":"kitti_dataset.py <span style='color:#111;'> 5.31KB </span>","children":null,"spread":false},{"title":"base_dataset.py <span style='color:#111;'> 366B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"base_data_loader.cpython-37.pyc <span style='color:#111;'> 679B </span>","children":null,"spread":false},{"title":"base_dataset.cpython-37.pyc <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 2.65KB </span>","children":null,"spread":false},{"title":"kitti_dataset.cpython-37.pyc <span style='color:#111;'> 4.52KB </span>","children":null,"spread":false}],"spread":false},{"title":"base_data_loader.py <span style='color:#111;'> 171B </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"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