Data Preparation for TUMTraf Intersection Dataset does not generates any train and val samples in tumtraf_i_processed directory.

[Uchan1996]

@walzimmer Hi, thank you for your great work. I want to do data preparation code for Intersection dataset. I succeeded in splitting the intersection dataset into train and val as README in tum-traffic-dataset-dev-kit repository says. However, data preparation by create_tumtraf_data.py in this repository does not generates any train and val samples in tumtraf_i_processed directory. How can I fix these things? The output of create_tumtraf_data.py is displayed as below:

`split: ['training', 'validation'] Start converting ... Converting split: training... train sample: 0 Converting split: validation... val sample: 0

Finished ... creating groundtruth database Create GT Database of TUMTrafNuscDataset DATASETS: Registry(name=dataset, items={'CustomDataset': <class 'mmdet.datasets.custom.CustomDataset'>, 'CocoDataset': <class 'mmdet.datasets.coco.CocoDataset'>, 'CityscapesDataset': <class 'mmdet.datasets.cityscapes.CityscapesDataset'>, 'CocoPanopticDataset': <class 'mmdet.datasets.coco_panoptic.CocoPanopticDataset'>, 'ConcatDataset': <class 'mmdet.datasets.dataset_wrappers.ConcatDataset'>, 'RepeatDataset': <class 'mmdet.datasets.dataset_wrappers.RepeatDataset'>, 'ClassBalancedDataset': <class 'mmdet.datasets.dataset_wrappers.ClassBalancedDataset'>, 'MultiImageMixDataset': <class 'mmdet.datasets.dataset_wrappers.MultiImageMixDataset'>, 'DeepFashionDataset': <class 'mmdet.datasets.deepfashion.DeepFashionDataset'>, 'LVISV05Dataset': <class 'mmdet.datasets.lvis.LVISV05Dataset'>, 'LVISDataset': <class 'mmdet.datasets.lvis.LVISV05Dataset'>, 'LVISV1Dataset': <class 'mmdet.datasets.lvis.LVISV1Dataset'>, 'XMLDataset': <class 'mmdet.datasets.xml_style.XMLDataset'>, 'VOCDataset': <class 'mmdet.datasets.voc.VOCDataset'>, 'WIDERFaceDataset': <class 'mmdet.datasets.wider_face.WIDERFaceDataset'>, 'Custom3DDataset': <class 'mmdet3d.datasets.custom_3d.Custom3DDataset'>, 'NuScenesDataset': <class 'mmdet3d.datasets.nuscenes_dataset.NuScenesDataset'>, 'TUMTrafNuscDataset': <class 'mmdet3d.datasets.tumtraf_dataset.TUMTrafNuscDataset'>, 'TUMTrafV2XNuscDataset': <class 'mmdet3d.datasets.tumtraf_v2x_dataset.TUMTrafV2XNuscDataset'>, 'CBGSDataset': <class 'mmdet3d.datasets.dataset_wrappers.CBGSDataset'>}) completed: 0, elapsed: 0s `

[Uchan1996]

@walzimmer I think the paths in tools/data_converter/tumtraf_converter.py are wrong which are set from the line 97 to 104. tumtraf_i directory includes train and val directories. Each of the two directories has three directories (images, labels_point_clouds, point_clouds). However, the line from 97 to 104 try to access to labels directory which is not included in train and val directories.