spikingjelly.datasets.asl_dvs module#
- class spikingjelly.datasets.asl_dvs.ASLDVS(root: str, data_type: str = 'event', frames_number: int = None, split_by: str = None, duration: int = None, custom_integrate_function: Callable = None, custom_integrated_frames_dir_name: str = None, transform: Callable | None = None, target_transform: Callable | None = None)[源代码]#
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中文
ASL-DVS 数据集,由 Graph-based Object Classification for Neuromorphic Vision Sensing 提出。
有关参数信息的更多详细信息,请参考
NeuromorphicDatasetFolder备注
ASLDVS 的 Dropbox 链接已过期。用户可以通过以下命令从 OpenI 镜像手动下载此数据集:
pip install openi openi dataset download OpenI/ASLDVS --local_dir ./ASLDVS --max_workers 10
然后您可以解压
ASLDVS.zip并获取ICCV2019_DVS_dataset.zip。
English
The ASL-DVS dataset, which is proposed by Graph-based Object Classification for Neuromorphic Vision Sensing.
Refer to
NeuromorphicDatasetFolderfor more details about params information.备注
ASLDVS's Dropbox link is expired. Users can download this dataset from the OpenI mirror manually by the following commands:
pip install openi openi dataset download OpenI/ASLDVS --local_dir ./ASLDVS --max_workers 10
Then you can extract
ASLDVS.zipand getICCV2019_DVS_dataset.zip.- 参数:
root (Union[str, Path]) -- 数据集的根路径
data_type (str) --
"event"或"frame"frames_number (Optional[int]) -- 积分帧的数量
split_by (Optional[str]) --
"time"或"number"duration (Optional[int]) -- 每帧的时间时长
custom_integrate_function (Optional[Callable]) -- 用户自定义积分函数
custom_integrated_frames_dir_name (Optional[str]) -- 自定义积分帧目录名
transform (Optional[Callable]) -- 数据变换
target_transform (Optional[Callable]) -- 标签变换
root -- Root directory of the dataset
data_type --
"event"or"frame"frames_number -- Number of frames to integrate
split_by --
"time"or"number"duration -- Time duration per frame
custom_integrate_function -- User-defined integrate function
custom_integrated_frames_dir_name -- Custom frames directory name
transform -- Transform function
target_transform -- Target transform function
- 返回:
None
- 返回类型:
None