MeshCNN:PyTorch中用于3D网格的卷积神经网络

上传者: 38701156 | 上传时间: 2024-04-02 16:20:14 | 文件大小: 3.54MB | 文件类型: ZIP
PyTorch中的MeshCNN SIGGRAPH 2019 MeshCNN是用于3D三角形网格的通用深度神经网络,可用于诸如3D形状分类或分割之类的任务。 该框架包括直接应用于网格边缘的卷积,池化和解池层。 该代码由和在支持下编写。 入门 安装 克隆此仓库: git clone https://github.com/ranahanocka/MeshCNN.git cd MeshCNN 安装依赖项: 1.2版。 可选: 用于训练图。 通过新的conda环境conda env create -f environment.yml (创建一个名为meshcnn的环境) SHREC上的3D形状分类 下载数据集 bash ./scripts/shrec/get_data.sh 运行训练(如果使用conda env首先激活env,例如source activate meshcnn ) bash ./scripts/shrec/train.sh 要查看训练损失图,请在另一个终端中运行tensorboard --logdir runs并单击 。 运行测试并导出中间池网格: bas

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