Describe the bug When using concatenate_datasets([dataset1, dataset2], axis = 1) to concatenate two datasets with shards > 1, it fails: File "/home/xzg/anaconda3/envs/tri-transfer/lib/python3.9/site-packages/datasets/combine.py", line 18...
ValueError: classEpochBasedTrainLoopin mmengine/runner/loops.py: classCocoDatasetin mmdet/datasets/coco.py: need at least one array to concatenate Additional information I ran this tutorial (https://github.com/open-mmlab/mmdetection/blob/3.x/demo/MMDet_InstanceSeg_Tutorial.ipynb) without changing ...
my config file dataset_type = 'CocoDataset' data_root = 'data/coco/' backend_args = None train_pipeline = [ dict(type='LoadImageFromFile', backend_args=None), dict(type='LoadAnnotations', with_bbox=True), dict( type='RandomResize', scale=(896, 896), ratio_range=(0.1, 2.0), keep...