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_base_ = './rtmdet-r_l_syncbn_fast_2xb4-36e_dota-ms.py'
load_from = 'https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_l_syncbn_fast_8xb32-300e_coco/rtmdet_l_syncbn_fast_8xb32-300e_coco_20230102_135928-ee3abdc4.pth' # noqa
# Submission dir for result submit
submission_dir = './work_dirs/{{fileBasenameNoExtension}}/submission'
# Inference on test dataset and format the output results
# for submission. Note: the test set has no annotation.
# test_dataloader = dict(
# dataset=dict(
# data_root=_base_.data_root,
# ann_file='', # test set has no annotation
# data_prefix=dict(img_path=_base_.test_data_prefix),
# pipeline=_base_.test_pipeline))
# test_evaluator = dict(
# type='mmrotate.DOTAMetric',
# format_only=True,
# merge_patches=True,
# outfile_prefix=submission_dir)
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