Spaces:
Sleeping
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YOLO-World3
/
third_party
/mmyolo
/configs
/rtmdet
/rotated
/rtmdet-r_m_syncbn_fast_2xb4-36e_dota-ms.py
_base_ = './rtmdet-r_l_syncbn_fast_2xb4-36e_dota-ms.py' | |
checkpoint = 'https://download.openmmlab.com/mmdetection/v3.0/rtmdet/cspnext_rsb_pretrain/cspnext-m_8xb256-rsb-a1-600e_in1k-ecb3bbd9.pth' # noqa | |
# ========================modified parameters====================== | |
deepen_factor = 0.67 | |
widen_factor = 0.75 | |
# Submission dir for result submit | |
submission_dir = './work_dirs/{{fileBasenameNoExtension}}/submission' | |
# =======================Unmodified in most cases================== | |
model = dict( | |
backbone=dict( | |
deepen_factor=deepen_factor, | |
widen_factor=widen_factor, | |
init_cfg=dict(checkpoint=checkpoint)), | |
neck=dict(deepen_factor=deepen_factor, widen_factor=widen_factor), | |
bbox_head=dict(head_module=dict(widen_factor=widen_factor))) | |
# 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) | |