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为了收集这些数据,设计了一个易于使用且具有扩展性的 RGB-D 捕获系统,包括自动化的表面重建和众包的语义标注。实验表明,使用此数据可以在多个 3D 场景理解任务(如 3D 物体分类、语义体素标注和 CAD 模型检索)上取得最新的性能。更多信息可以参见ScanNet。 官网:https://github.com/ScanNet/ScanNet 获取方式 如果您...
Otherwise, a local sequence database (e.g. UniRef30_2021) must be installed together with HH-blits (https://github.com/soedinglab/hh-suite). Once this is done, change the corresponding paths in utilities/paths.py. An homology search will be performed on the local sequence database and ...
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scannet遵循opencv convention。通过https://github.com/ScanNet/ScanNet/tree/master/SensReader/python预处理scannet获得的文件夹结构: 代码 import torch import matplotlib.pyplot as plt import numpy as np import imageio import open3d as o3d from torchvision.utils import make_grid ...
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Install the python package from https://github.com/liu115/renderpy in addtion to the requirements. python -m common.render common/configs/render.yml The output will be saved in output_dir with the following structure: output_dir/SCENE_ID/[dslr, iphone] ├── render_rgb └── render_de...
PointNet++ Semantic Segmentation on ScanNet in PyTorch with CUDA acceleration - daveredrum/Pointnet2.ScanNet
[ScanNet benchmark](https://kaldir.vc.in.tum.de/scannet_benchmark/). Unzip the data and place it to the folder <scannet_folder>. Run the following command to prepare the dataset. ```bash python tools/seg_scannet200.py --run process_scannet --path_in <scannet_folder> \ --path_out...