root12321

` data = dict( shutil=True samples_per_gpu=32,#batch_size workers_per_gpu=8, train=dict( type='KFoldDataset', dataset=dict( type=dataset_type, data_prefix='/data/dataset/cifar/cifar-10-100n-main/',#*************** ann_file='/data/dataset/cifar/cifar-10-100n-main/train_val_cifar100/test_all.txt',#**************** pipeline=train_pipeline), fold=0, num_splits=5 ), val=dict( type='KFoldDataset', dataset=dict( type=dataset_type, data_prefix='/data/dataset/cifar/cifar-10-100n-main/',#*************** ann_file='/data/dataset/cifar/cifar-10-100n-main/train_val_cifar100/test_all.txt',#**************** pipeline=test_pipeline), fold=0, num_splits=5), test=dict( type='KFoldDataset', dataset=dict( type=dataset_type,...

The model performed poorly

1

when i use the offical model ,the results is poor the code is : `python demo/inference_on_a_image.py -c groundingdino/config/GroundingDINO_SwinT_OGC.py -p ./weights/groundingdino_swint_ogc.pth -i .asset/cats.png -o output -t "dog"` show me this result:...