Datasetpublic

tyhuang/3D_Few-Shot_Class-Incremental_Learning_Dataset

数据集说明数据集结构 ├ trainset/ ├── 0/ │ ├── [label]-xxxxx.npy │ ├── ...... ├── 1/ ├── ...... ├── 10/ │ ├ testset/ ├── 0/ │ ├── xxxxx.npy │ ├── ...... ├── 1/ ├── ...... ├── 10/ 文件夹"0"为基类数据集，文件夹"1"-"10"为新类数据集的10个增量阶段数据。每个文件夹内包含.npy格式的点云数据，可以使用numpy.load(path)读取相应文件。在trainset中，文件命名保证依照"[label]-xxxxx.npy"格式，其中第一个"-"前的内容为该点云的类别名，可以使用filename.split('-')[0]获取相应标签。数据集读取示例 class CONTESTCIL_train(Dataset): def __init__(self, root='./trainset'… See the full description on the dataset page: https://huggingface.co/datasets/tyhuang/3D_Few-Shot_Class-Incremental_Learning_Dataset.

sourceHugging Faceupdated 2y agoView on Hugging Face

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