Spaces:
Running
on
T4
Running
on
T4
YOLO-World
/
third_party
/mmyolo
/configs
/rtmdet
/rotated
/rtmdet-r_l_syncbn_fast_2xb4-36e_dota-ms.py
_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) | |