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on
T4
Running
on
T4
File size: 1,058 Bytes
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_base_ = './rtmdet-r_l_syncbn_fast_2xb4-36e_dota.py'
# ========================modified parameters======================
data_root = 'data/split_ms_dota/'
# Path of test images folder
test_data_prefix = 'test/images/'
# Submission dir for result submit
submission_dir = './work_dirs/{{fileBasenameNoExtension}}/submission'
# =======================Unmodified in most cases==================
train_dataloader = dict(dataset=dict(data_root=data_root))
val_dataloader = dict(dataset=dict(data_root=data_root))
# Inference on val dataset
test_dataloader = val_dataloader
# 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=data_root,
# ann_file='', # test set has no annotation
# data_prefix=dict(img_path=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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