ScanNet Dataset Introduced by Dai et al. inScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes Scannet是一个实例级的室内RGB-D数据集,包括2D和3D数据。它是标记体素而不是点或物体的集合。到目前为止,ScanNet的最新版本ScanNet v2已经收集了1513个带注释的扫描,表面覆盖率接近90%。在语义分割任务中,...
scannet/scannetv2-labels.combined.tsv -1 2023-09-12 08:28:19 scannet/tasks/scannet_frames_test.zip -1 2023-09-12 08:29:17 scannet/scans_test/scene0769_00/scene0769_00_vh_clean_2.ply -1 2023-09-17 09:58:11 scannet/scans_test/scene0738_00/scene0738_00_vh_clean_2.ply -1 2023-...
ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled voxels rather than points or objects. Up to now, ScanNet v2, the newest version of ScanNet, has collected 1513 annotated scans with an appr
Download theShapenetV2dataset by signing up on the website. Extract ShapeNetCore.v2.zip to/data/ShapeNet. Download our annotations for the full ScanNet datasethere. Extract the data and copy them to/data/ScanNet/annotations. Preprocessing ShapeNet CAD Models ...
# modify this path to your Scannet v2 dataset Path # root = "../data/ScanNet" root = "/data3/antao/Documents/Datasets/ScanNet_raw" # gen_pickle(split='train', keep_unanno=False, root=root) gen_pickle(split='train', keep_unanno=True, root=root) # gen_pickle(split='val', keep_...
接下来以【test_scannet_dataset.py】为例。 目标检测的训练损失函数 目标检测 数据 初始化 3d 转载 信息小飞侠 9月前 37阅读 android 编译时报错远程主机强迫关闭了一个现有的连接 10054远程主机强迫关闭 记录下载ScanNetv2数据集中出现的问题,前言:ScanNet V2数据集命令行下载出错 在用官方的方法下载了大概...
filename=''.join(["TRAIN_DATASET_",str(i+1),'.txt']) np.savetxt(filename, TRAIN_DATASET.scene_points_list[i],fmt="%.8f", delimiter=',') 1. 2. 3. 单独存入训练数据的标签到txt文件 : for i in range(len(TRAIN_DATASET.semantic_labels_list)): filename=''.join(["data/train_d...
np.savetxt(filename, TRAIN_DATASET.semantic_labels_list[i],fmt="%d", delimiter=',') 单独存入测试数据到txt文件 : TEST_DATASET = scannet_dataset.ScannetDataset(root=DATA_PATH, npoints=NUM_POINT, split='test')foriinrange(len(TEST_DATASET.scene_points_list)): ...
In the collection of this dataset, we have considered two main research questions: 1) how can we design a frame- work that allows many people to collect and annotate large 15828 Dataset Size Labels Annotation Tool Reconstruction CAD Models NYU v2 [58] TUM [81] SUN 3D [92] SUN RGB-D [...
96Citations 16Altmetric Metrics Abstract Predicting the functional sites of a protein from its structure, such as the binding sites of small molecules, other proteins or antibodies, sheds light on its function in vivo. Currently, two classes of methods prevail: machine learning models built on top...