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Merged
RangiLyu merged 1 commit into from
Feb 27, 2023
Merged

Update DOTA dataset for mmyolo #743

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3 changes: 0 additions & 3 deletions configs/_base_/datasets/dota.py
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
filter_cfg=dict(filter_empty_gt=True),
pipeline=train_pipeline))
val_dataloader = dict(
Expand All @@ -58,7 +57,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
test_mode=True,
pipeline=val_pipeline))
test_dataloader = val_dataloader
Expand All @@ -78,7 +76,6 @@
# type=dataset_type,
# data_root=data_root,
# data_prefix=dict(img_path='test/images/'),
# img_shape=(1024, 1024),
# test_mode=True,
# pipeline=test_pipeline))
# test_evaluator = dict(
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3 changes: 0 additions & 3 deletions configs/_base_/datasets/dota_ms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,7 +49,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
filter_cfg=dict(filter_empty_gt=True),
pipeline=train_pipeline))
val_dataloader = dict(
Expand All @@ -63,7 +62,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
test_mode=True,
pipeline=val_pipeline))
test_dataloader = val_dataloader
Expand All @@ -83,7 +81,6 @@
# type=dataset_type,
# data_root=data_root,
# data_prefix=dict(img_path='test/images/'),
# img_shape=(1024, 1024),
# test_mode=True,
# pipeline=test_pipeline))
# test_evaluator = dict(
Expand Down
3 changes: 0 additions & 3 deletions configs/_base_/datasets/dota_qbox.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
filter_cfg=dict(filter_empty_gt=True),
pipeline=train_pipeline))
val_dataloader = dict(
Expand All @@ -56,7 +55,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
test_mode=True,
pipeline=val_pipeline))
test_dataloader = val_dataloader
Expand All @@ -77,7 +75,6 @@
# type=dataset_type,
# data_root=data_root,
# data_prefix=dict(img_path='test/images/'),
# img_shape=(1024, 1024),
# test_mode=True,
# pipeline=test_pipeline))
# test_evaluator = dict(
Expand Down
3 changes: 0 additions & 3 deletions configs/_base_/datasets/dotav15.py
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
filter_cfg=dict(filter_empty_gt=True),
pipeline=train_pipeline))
val_dataloader = dict(
Expand All @@ -58,7 +57,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
test_mode=True,
pipeline=val_pipeline))
test_dataloader = val_dataloader
Expand All @@ -78,7 +76,6 @@
# type=dataset_type,
# data_root=data_root,
# data_prefix=dict(img_path='test/images/'),
# img_shape=(1024, 1024),
# test_mode=True,
# pipeline=test_pipeline))
# test_evaluator = dict(
Expand Down
3 changes: 0 additions & 3 deletions configs/_base_/datasets/dotav2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
filter_cfg=dict(filter_empty_gt=True),
pipeline=train_pipeline))
val_dataloader = dict(
Expand All @@ -58,7 +57,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
test_mode=True,
pipeline=val_pipeline))
test_dataloader = val_dataloader
Expand All @@ -78,7 +76,6 @@
# type=dataset_type,
# data_root=data_root,
# data_prefix=dict(img_path='test/images/'),
# img_shape=(1024, 1024),
# test_mode=True,
# pipeline=test_pipeline))
# test_evaluator = dict(
Expand Down
3 changes: 0 additions & 3 deletions configs/rotated_rtmdet/_base_/dota_rr.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,7 +60,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
filter_cfg=dict(filter_empty_gt=True),
pipeline=train_pipeline))
val_dataloader = dict(
Expand All @@ -74,7 +73,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
test_mode=True,
pipeline=val_pipeline))
test_dataloader = val_dataloader
Expand All @@ -94,7 +92,6 @@
# type=dataset_type,
# data_root=data_root,
# data_prefix=dict(img_path='test/images/'),
# img_shape=(1024, 1024),
# test_mode=True,
# pipeline=test_pipeline))
# test_evaluator = dict(
Expand Down
3 changes: 0 additions & 3 deletions configs/rotated_rtmdet/_base_/dota_rr_ms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
filter_cfg=dict(filter_empty_gt=True),
pipeline=train_pipeline))
val_dataloader = dict(
Expand All @@ -73,7 +72,6 @@
data_root=data_root,
ann_file='trainval/annfiles/',
data_prefix=dict(img_path='trainval/images/'),
img_shape=(1024, 1024),
test_mode=True,
pipeline=val_pipeline))
test_dataloader = val_dataloader
Expand All @@ -93,7 +91,6 @@
# type=dataset_type,
# data_root=data_root,
# data_prefix=dict(img_path='test/images/'),
# img_shape=(1024, 1024),
# test_mode=True,
# pipeline=test_pipeline))
# test_evaluator = dict(
Expand Down
18 changes: 6 additions & 12 deletions mmrotate/datasets/dota.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# Copyright (c) OpenMMLab. All rights reserved.
import glob
import os.path as osp
from typing import List, Tuple
from typing import List

from mmengine.dataset import BaseDataset

Expand All @@ -17,12 +17,10 @@ class DOTADataset(BaseDataset):
it is the path of a folder containing XML files.

Args:
img_shape (tuple[int]): The shape of images. Due to the huge size
of the remote sensing image, we will cut it into slices with
the same shape. Defaults to (1024, 1024).
diff_thr (int): The difficulty threshold of ground truth. Bboxes
with difficulty higher than it will be ignored. The range of this
value should be non-negative integer. Defaults to 100.
img_suffix (str): The suffix of images. Defaults to 'png'.
"""

METAINFO = {
Expand All @@ -40,11 +38,11 @@ class DOTADataset(BaseDataset):
}

def __init__(self,
img_shape: Tuple[int, int] = (1024, 1024),
diff_thr: int = 100,
img_suffix: str = 'png',
**kwargs) -> None:
self.img_shape = img_shape
self.diff_thr = diff_thr
self.img_suffix = img_suffix
super().__init__(**kwargs)

def load_data_list(self) -> List[dict]:
Expand All @@ -58,16 +56,14 @@ def load_data_list(self) -> List[dict]:
data_list = []
if self.ann_file == '':
img_files = glob.glob(
osp.join(self.data_prefix['img_path'], '*.png'))
osp.join(self.data_prefix['img_path'], f'*.{self.img_suffix}'))
for img_path in img_files:
data_info = {}
data_info['img_path'] = img_path
img_name = osp.split(img_path)[1]
data_info['file_name'] = img_name
img_id = img_name[:-4]
data_info['img_id'] = img_id
data_info['height'] = self.img_shape[0]
data_info['width'] = self.img_shape[1]

instance = dict(bbox=[], bbox_label=[], ignore_flag=0)
data_info['instances'] = [instance]
Expand All @@ -83,12 +79,10 @@ def load_data_list(self) -> List[dict]:
data_info = {}
img_id = osp.split(txt_file)[1][:-4]
data_info['img_id'] = img_id
img_name = img_id + '.png'
img_name = img_id + f'.{self.img_suffix}'
data_info['file_name'] = img_name
data_info['img_path'] = osp.join(self.data_prefix['img_path'],
img_name)
data_info['height'] = self.img_shape[0]
data_info['width'] = self.img_shape[1]

instances = []
with open(txt_file) as f:
Expand Down