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code_test/configs/_base_/datasets/lvis_v1_instance.py

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  1. # dataset settings

  2. _base_ = 'coco_instance.py'

  3. dataset_type = 'LVISV1Dataset'

  4. data_root = 'data/lvis_v1/'

  5. data = dict(

  6.     samples_per_gpu=2,

  7.     workers_per_gpu=2,

  8.     train=dict(

  9.         _delete_=True,

  10.         type='ClassBalancedDataset',

  11.         oversample_thr=1e-3,

  12.         dataset=dict(

  13.             type=dataset_type,

  14.             ann_file=data_root + 'annotations/lvis_v1_train.json',

  15.             img_prefix=data_root)),

  16.     val=dict(

  17.         type=dataset_type,

  18.         ann_file=data_root + 'annotations/lvis_v1_val.json',

  19.         img_prefix=data_root),

  20.     test=dict(

  21.         type=dataset_type,

  22.         ann_file=data_root + 'annotations/lvis_v1_val.json',

  23.         img_prefix=data_root))

  24. evaluation = dict(metric=['bbox', 'segm'])