登录
首页 » Python » MeshCNN-master

MeshCNN-master

于 2020-10-07 发布
0 111
下载积分: 1 下载次数: 1

代码说明:

说明:  三维mesh分割,用于解决分割问题,MeshCNN: A Network with an Edge(3D mesh segmentation)

文件列表:

MeshCNN-master, 0 , 2020-03-09
MeshCNN-master\.gitignore, 65 , 2020-03-09
MeshCNN-master\.travis.yml, 643 , 2020-03-09
MeshCNN-master\LICENSE, 1069 , 2020-03-09
MeshCNN-master\README.md, 3656 , 2020-03-09
MeshCNN-master\data, 0 , 2020-03-09
MeshCNN-master\data\__init__.py, 1113 , 2020-03-09
MeshCNN-master\data\base_dataset.py, 2251 , 2020-03-09
MeshCNN-master\data\classification_data.py, 2338 , 2020-03-09
MeshCNN-master\data\segmentation_data.py, 3331 , 2020-03-09
MeshCNN-master\docs, 0 , 2020-03-09
MeshCNN-master\docs\imgs, 0 , 2020-03-09
MeshCNN-master\docs\imgs\T18.png, 258821 , 2020-03-09
MeshCNN-master\docs\imgs\T252.png, 175222 , 2020-03-09
MeshCNN-master\docs\imgs\T76.png, 311291 , 2020-03-09
MeshCNN-master\docs\imgs\alien.gif, 830076 , 2020-03-09
MeshCNN-master\docs\imgs\coseg_alien.png, 190558 , 2020-03-09
MeshCNN-master\docs\imgs\coseg_chair.png, 349189 , 2020-03-09
MeshCNN-master\docs\imgs\coseg_vase.png, 253075 , 2020-03-09
MeshCNN-master\docs\imgs\cubes.png, 126036 , 2020-03-09
MeshCNN-master\docs\imgs\cubes2.png, 113965 , 2020-03-09
MeshCNN-master\docs\imgs\input_edge_features.png, 18900 , 2020-03-09
MeshCNN-master\docs\imgs\mesh_conv.png, 16958 , 2020-03-09
MeshCNN-master\docs\imgs\mesh_pool_unpool.png, 55354 , 2020-03-09
MeshCNN-master\docs\imgs\meshcnn_overview.png, 480067 , 2020-03-09
MeshCNN-master\docs\imgs\shrec16_train.png, 31439 , 2020-03-09
MeshCNN-master\docs\imgs\shrec__10_0.png, 150036 , 2020-03-09
MeshCNN-master\docs\imgs\shrec__14_0.png, 168645 , 2020-03-09
MeshCNN-master\docs\imgs\shrec__2_0.png, 152258 , 2020-03-09
MeshCNN-master\docs\index.html, 9120 , 2020-03-09
MeshCNN-master\docs\mainpage.css, 944 , 2020-03-09
MeshCNN-master\environment.yml, 244 , 2020-03-09
MeshCNN-master\models, 0 , 2020-03-09
MeshCNN-master\models\__init__.py, 149 , 2020-03-09
MeshCNN-master\models\layers, 0 , 2020-03-09
MeshCNN-master\models\layers\__init__.py, 0 , 2020-03-09
MeshCNN-master\models\layers\mesh.py, 8596 , 2020-03-09
MeshCNN-master\models\layers\mesh_conv.py, 3344 , 2020-03-09
MeshCNN-master\models\layers\mesh_pool.py, 8978 , 2020-03-09
MeshCNN-master\models\layers\mesh_prepare.py, 17520 , 2020-03-09
MeshCNN-master\models\layers\mesh_union.py, 1522 , 2020-03-09
MeshCNN-master\models\layers\mesh_unpool.py, 1572 , 2020-03-09
MeshCNN-master\models\mesh_classifier.py, 4744 , 2020-03-09
MeshCNN-master\models\networks.py, 14583 , 2020-03-09
MeshCNN-master\options, 0 , 2020-03-09
MeshCNN-master\options\__init__.py, 0 , 2020-03-09
MeshCNN-master\options\base_options.py, 4686 , 2020-03-09
MeshCNN-master\options\test_options.py, 635 , 2020-03-09
MeshCNN-master\options\train_options.py, 2701 , 2020-03-09
MeshCNN-master\scripts, 0 , 2020-03-09
MeshCNN-master\scripts\coseg_seg, 0 , 2020-03-09
MeshCNN-master\scripts\coseg_seg\get_data.sh, 272 , 2020-03-09
MeshCNN-master\scripts\coseg_seg\get_pretrained.sh, 324 , 2020-03-09
MeshCNN-master\scripts\coseg_seg\test.sh, 309 , 2020-03-09
MeshCNN-master\scripts\coseg_seg\train.sh, 551 , 2020-03-09
MeshCNN-master\scripts\coseg_seg\view.sh, 191 , 2020-03-09
MeshCNN-master\scripts\cubes, 0 , 2020-03-09
MeshCNN-master\scripts\cubes\get_data.sh, 278 , 2020-03-09
MeshCNN-master\scripts\cubes\get_pretrained.sh, 292 , 2020-03-09
MeshCNN-master\scripts\cubes\test.sh, 225 , 2020-03-09
MeshCNN-master\scripts\cubes\train.sh, 238 , 2020-03-09
MeshCNN-master\scripts\cubes\view.sh, 235 , 2020-03-09
MeshCNN-master\scripts\dataprep, 0 , 2020-03-09
MeshCNN-master\scripts\dataprep\blender_process.py, 3290 , 2020-03-09
MeshCNN-master\scripts\human_seg, 0 , 2020-03-09
MeshCNN-master\scripts\human_seg\get_data.sh, 295 , 2020-03-09
MeshCNN-master\scripts\human_seg\get_pretrained.sh, 286 , 2020-03-09
MeshCNN-master\scripts\human_seg\test.sh, 303 , 2020-03-09
MeshCNN-master\scripts\human_seg\train.sh, 310 , 2020-03-09
MeshCNN-master\scripts\human_seg\view.sh, 104 , 2020-03-09
MeshCNN-master\scripts\shrec, 0 , 2020-03-09
MeshCNN-master\scripts\shrec\get_data.sh, 292 , 2020-03-09
MeshCNN-master\scripts\shrec\get_pretrained.sh, 277 , 2020-03-09
MeshCNN-master\scripts\shrec\test.sh, 230 , 2020-03-09
MeshCNN-master\scripts\shrec\train.sh, 263 , 2020-03-09
MeshCNN-master\scripts\shrec\view.sh, 174 , 2020-03-09
MeshCNN-master\scripts\test_general.py, 2390 , 2020-03-09
MeshCNN-master\test.py, 656 , 2020-03-09
MeshCNN-master\train.py, 2145 , 2020-03-09
MeshCNN-master\util, 0 , 2020-03-09
MeshCNN-master\util\__init__.py, 0 , 2020-03-09
MeshCNN-master\util\mesh_viewer.py, 5031 , 2020-03-09
MeshCNN-master\util\util.py, 2030 , 2020-03-09
MeshCNN-master\util\writer.py, 2948 , 2020-03-09

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • guolu
    说明:  锅炉汽包水位自适应模糊PID控制的模型与仿真,仿真能很好运行(Boiler bubble water control can realize the simulation of boiler water level, and the effect is obvious. (control))
    2019-05-18 20:12:25下载
    积分:1
  • alarm
    一个定时提醒的程序,可以任意设置定时时间,有皮肤,带有最小化到通知栏,抖动及声音提醒,提醒时窗口置顶等功能。(A timed reminder program that can be set regular time, have skin with minimized to the notification bar, jitter and voice reminder, reminder window when the top and other functions.)
    2014-02-05 19:52:18下载
    积分:1
  • CADENSE用户手册(RAR)
    cadense user book (rar)-cadense user book (240.1)
    2023-03-10 18:30:04下载
    积分:1
  • StoreHouseSystem
    使用MFC和Sql Server2000编写的仓库管理系统,具有多功能,查询物资、增加物资、删除物资,具有可视化的界面、并且界面友好。(Sql Server2000 using MFC and the preparation of a warehouse management system, with multi-functional, check materials, to increase supplies, delete material, with a visual interface and user-friendly.)
    2010-01-06 08:50:19下载
    积分:1
  • 时间域的错误希尔伯特变换,这个在时间域里面实现的时候主要是零值的点...
    时间域的错误希尔伯特变换,这个在时间域里面实现的时候主要是零值的点-Hilbort transformer(foult)
    2022-01-31 06:17:49下载
    积分:1
  • 命令流
    说明:  大型通用有限元软件ansys的一些入门实例分析,命令流(Some examples of large general finite element software ansys, command flow)
    2020-10-30 12:49:55下载
    积分:1
  • DataDCS
    说明:  modbus 转至dcs modbus dtu 转 modbus tcp(Modbus to DCS dtuto modbus tcp)
    2020-08-07 01:35:10下载
    积分:1
  • MSP430F149单片机的开发和应用 给初学者
    MSP430F149单片机的开发和应用 给初学者-MSP430F149 the development and application of beginners
    2022-02-26 14:15:18下载
    积分:1
  • 神经网络逼近股票收盘均价
    说明:  python编写,实现股票预测,在anaconda下运行(Python compiles, realizes stock forecast, and runs under Anaconda)
    2019-06-14 15:02:08下载
    积分:1
  • 这是关于雷达杂波的仿真的matlab程序,希望对大家有所帮助
    这是关于雷达杂波的仿真的matlab程序,希望对大家有所帮助-This is on the radar clutter of the Matlab simulation procedures, we hope to help
    2022-03-18 03:31:49下载
    积分:1
  • 696518资源总数
  • 104349会员总数
  • 32今日下载