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github.com/YXB-NKU/Strip-R-CNN
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746 in github.com/YXB-NKU/Strip-R-CNN
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Functions
746
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Types & classes
119
Method
__init__
(self, num_classes, in_channels, feat_channels,
mmrotate/models/dense_heads/rotated_reppoints_head.py:53
Method
__init__
(self, use_encoded_angle=True, shield_reg_angle=False, angl
mmrotate/models/dense_heads/csl_rotated_retina_head.py:28
Method
__init__
(self, num_classes, in_channels, feat_channels=256,
mmrotate/models/dense_heads/rotated_anchor_head.py:42
Method
__init__
(self, in_channels, init_cfg=dict(type='Normal', layer='Conv2d', std=0.01),
mmrotate/models/dense_heads/rotated_rpn_head.py:26
Method
__init__
(self, num_classes, in_channels, stacked_convs=4,
mmrotate/models/dense_heads/kfiou_rotate_retina_refine_head.py:29
Method
__init__
(self, num_classes, in_channels, feat_channels,
mmrotate/models/dense_heads/oriented_reppoints_head.py:88
Method
__init__
(self, num_classes, in_channels, stacked_convs=4,
mmrotate/models/dense_heads/kfiou_rotate_retina_head.py:25
Method
__init__
(self)
mmrotate/models/utils/cnn.py:52
Method
__init__
(self, nInputPlane, nOrientation=8)
mmrotate/models/utils/ripool.py:13
Method
__init__
(self, in_channels, out_channels, kernel_size=3,
mmrotate/models/utils/orconv.py:32
Method
__init__
(self, bbox_roi_extractor=None, bbox_head=None, shared_head
mmrotate/models/roi_heads/rotate_standard_roi_head.py:28
Method
__init__
(self, num_stages, stage_loss_weights, bbox_roi_extractor=N
mmrotate/models/roi_heads/roi_trans_roi_head.py:30
Method
__init__
(self, roi_layer, out_channels, featmap_strides,
mmrotate/models/roi_heads/roi_extractors/rotate_single_level_roi_extractor.py:30
Method
__init__
(self, with_avg_pool=False, with_cls=True, with_reg=True,
mmrotate/models/roi_heads/bbox_heads/rotated_bbox_head.py:39
Method
__init__
( self, with_avg_pool=False, num_shared_fcs=2, roi_feat_size=7
mmrotate/models/roi_heads/bbox_heads/gv_bbox_head.py:47
Method
__init__
(self, fc_out_channels=1024, *args, **kwargs)
mmrotate/models/roi_heads/bbox_heads/convfc_rbbox_head.py:213
Method
__init__
(self, fc_out_channels=1024, *args, **kwargs)
mmrotate/models/roi_heads/bbox_heads/convfc_rbbox_head.py:230
Method
__init__
(self, in_channels, out_channels, kernel_size,
mmrotate/models/roi_heads/bbox_heads/utils_basic.py:6
Method
__init__
(self, num_shared_convs=0, num_shared_fcs=0, num_cls_convs=
mmrotate/models/roi_heads/bbox_heads/strip_head.py:38
Method
__init__
(self, in_channels=256, mid_channels=128, out_channels=256)
mmrotate/models/roi_heads/bbox_heads/plugins.py:9
Method
__init__
(self, dim)
mmrotate/models/roi_heads/bbox_heads/reg_block.py:17
Method
__init__
(self, backbone, rpn_head, roi_head, train
mmrotate/models/detectors/strip_rcnn.py:15
Method
__init__
(self, backbone, rpn_head, roi_head, train
mmrotate/models/detectors/gliding_vertex.py:11
Method
__init__
(self, backbone, rpn_head, roi_head, train
mmrotate/models/detectors/oriented_rcnn.py:15
Method
__init__
(self, backbone, neck=None, rpn_head=None,
mmrotate/models/detectors/two_stage.py:18
Method
__init__
(self, in_channels, featmap_strides, align_conv_size)
mmrotate/models/detectors/utils.py:103
Method
__init__
(self, in_channels, featmap_strides, conv_cfg=None,
mmrotate/models/detectors/utils.py:148
Method
__init__
(self, init_cfg=None)
mmrotate/models/detectors/base.py:15
Method
__init__
(self, backbone, rpn_head, roi_head, train
mmrotate/models/detectors/roi_transformer.py:14
Method
__init__
(self, backbone, neck, bbox_head, train_cf
mmrotate/models/detectors/rotated_reppoints.py:10
Method
__init__
(self, backbone, rpn_head, roi_head, train
mmrotate/models/detectors/redet.py:14
Method
__init__
(self, backbone, neck, bbox_head, train_cf
mmrotate/models/detectors/rotated_retinanet.py:13
Method
__init__
(self, backbone, rpn_head, roi_head, train
mmrotate/models/detectors/rotate_faster_rcnn.py:13
Method
__init__
(self, num_refine_stages, backbone, neck=None,
mmrotate/models/detectors/r3det.py:16
Method
__init__
(self, backbone, neck, bbox_head, train_cf
mmrotate/models/detectors/rotated_fcos.py:13
Method
__init__
(self, backbone, neck=None, bbox_head=None,
mmrotate/models/detectors/single_stage.py:17
Method
__init__
(self, backbone, neck=None, fam_head=None,
mmrotate/models/detectors/s2anet.py:15
Method
__init__
(self, reduction='mean', loss_weight=1.0)
mmrotate/models/losses/convex_giou_loss.py:279
Method
__init__
(self, loss_type, fun='sqrt', tau=1.0, red
mmrotate/models/losses/gaussian_dist_loss_v1.py:172
Method
__init__
(self, loss_weight=1.0)
mmrotate/models/losses/spatial_border_loss.py:22
Method
__init__
(self, loss_type, representation='xy_wh_r', fun='log1p',
mmrotate/models/losses/gaussian_dist_loss.py:342
Method
__init__
(self, eps=1e-6, reduction='mean', loss_weight=1.0)
mmrotate/models/losses/kld_reppoints_loss.py:75
Method
__init__
(self, linear=False, eps=1e-6, reduction='mean',
mmrotate/models/losses/rotated_iou_loss.py:77
Method
__init__
(self, gamma=2.0, alpha=0.25, reduction='mean',
mmrotate/models/losses/smooth_focal_loss.py:82
Method
__init__
(self, fun='none', reduction='mean', loss_weight=1.0,
mmrotate/models/losses/kf_iou_loss.py:103
Method
__len__
Total number of samples of data.
mmrotate/datasets/fair.py:82
Method
__len__
Total number of samples of data.
mmrotate/datasets/dota.py:53
Method
__len__
Total number of samples of data.
mmrotate/datasets/dota_1_5.py:53
Method
__repr__
str: a string describing the module
mmrotate/core/bbox/iou_calculators/rotate_iou2d_calculator.py:47
Method
__repr__
(self)
mmrotate/core/anchor/anchor_generator.py:71
Method
__repr__
(self)
mmrotate/datasets/pipelines/transforms.py:271
Method
__repr__
(self)
mmrotate/models/utils/orconv.py:115
Method
_bbox_forward_train
Run forward function and calculate loss for box head in training. Args: x (list[Tensor]): list of multi-level img features.
mmrotate/models/roi_heads/gv_ratio_roi_head.py:59
Function
_conv_filter
convert patch embedding weight from manual patchify + linear proj to conv
mmrotate/models/backbones/stripnet.py:222
Method
_crop_data
Function to randomly crop images, bounding boxes. Args: results (dict): Result dict from loading pipeline. crop_size
mmrotate/datasets/pipelines/transforms.py:325
Method
_filter_imgs
Filter images without ground truths.
mmrotate/datasets/dior.py:178
Method
_filter_imgs
Filter images without ground truths.
mmrotate/datasets/fair.py:178
Method
_filter_imgs
Filter images without ground truths.
mmrotate/datasets/dota.py:148
Method
_filter_imgs
Filter images without ground truths.
mmrotate/datasets/dota_1_5.py:148
Method
_filter_imgs
Filter images without ground truths.
mmrotate/datasets/hrsc.py:197
Method
_get_bboxes_single
Transform outputs for a single batch item into bbox predictions. Args: cls_scores (list[Tensor]): Box scores for a single scale l
mmrotate/models/dense_heads/csl_rotated_fcos_head.py:212
Method
_get_bboxes_single
Transform outputs for a single batch item into bbox predictions. Args: cls_scores (list[Tensor]): Box scores of all scale level
mmrotate/models/dense_heads/oriented_rpn_head.py:189
Method
_get_target_single
Compute regression, classification and angle targets for a single image.
mmrotate/models/dense_heads/csl_rotated_fcos_head.py:191
Method
_get_target_single
Compute regression, classification and angle targets for a single image.
mmrotate/models/dense_heads/rotated_fcos_head.py:389
Method
_get_target_single
Calculate the ground truth for proposals in the single image according to the sampling results. Args: pos_bboxes (torch.T
mmrotate/models/roi_heads/bbox_heads/rotated_bbox_head.py:141
Method
_get_target_single
Calculate the ground truth for proposals in the single image according to the sampling results. Args: pos_bboxes (torch.T
mmrotate/models/roi_heads/bbox_heads/gv_bbox_head.py:186
Method
_get_targets_single
Compute regression and classification targets for anchors in a single image. Args: flat_anchors (torch.Tensor): Multi-lev
mmrotate/models/dense_heads/rotated_atss_head.py:21
Method
_get_targets_single
Compute regression and classification targets for anchors in a single image. Args: flat_anchors (torch.Tensor): Multi-lev
mmrotate/models/dense_heads/csl_rotated_retina_head.py:253
Method
_get_targets_single
Compute regression and classification targets for anchors in a single image. Args: flat_anchors (torch.Tensor): Multi-lev
mmrotate/models/dense_heads/rotated_anchor_head.py:181
Method
_get_targets_single
Compute regression and classification targets for anchors in a single image. Args: flat_anchors (torch.Tensor): Multi-lev
mmrotate/models/dense_heads/rotated_rpn_head.py:51
Method
_get_targets_single
Compute regression and classification targets for anchors in a single image. Args: flat_anchors (torch.Tensor): Multi-lev
mmrotate/models/dense_heads/oriented_rpn_head.py:26
Method
_init_layers
Initialize layers of the head.
mmrotate/models/dense_heads/rotated_retina_head.py:64
Method
_init_layers
Initialize layers of the head.
mmrotate/models/dense_heads/csl_rotated_fcos_head.py:49
Method
_init_layers
Initialize layers of the head.
mmrotate/models/dense_heads/kfiou_odm_refine_head.py:69
Method
_init_layers
Initialize layers of the head.
mmrotate/models/dense_heads/rotated_fcos_head.py:118
Method
_init_layers
Initialize layers of the head.
mmrotate/models/dense_heads/csl_rotated_retina_head.py:65
Method
_init_layers
Initialize layers of the head.
mmrotate/models/dense_heads/rotated_rpn_head.py:35
Method
_init_layers
Initialize layers of the head.
mmrotate/models/dense_heads/oriented_rpn_head.py:18
Method
_inner_forward
(x)
mmrotate/models/backbones/re_resnet.py:103
Method
_inner_forward
(x)
mmrotate/models/backbones/re_resnet.py:246
Method
_inner_forward
(x)
mmrotate/models/backbones/resnet.py:70
Method
_inner_forward
(x)
mmrotate/models/backbones/resnet.py:267
Function
_load_dota_single
Load DOTA's single image. Args: imgfile (str): Filename of single image. img_dir (str): Path of images. ann_dir (str): Pa
tools/data/dota/split/img_split.py:470
Function
_load_dota_single
Load DOTA's single image. Args: imgfile (str): Filename of single image. img_dir (str): Path of images. ann_dir (str): Pa
tools/data/fair/img_split.py:472
Function
_merge_func
Merging patch bboxes into full image. Args: CLASSES (list): Label category. iou_thr (float): Threshold of IoU.
mmrotate/datasets/fair.py:367
Function
_merge_func
Merging patch bboxes into full image. Args: CLASSES (list): Label category. iou_thr (float): Threshold of IoU.
mmrotate/datasets/dota.py:337
Function
_merge_func
Merging patch bboxes into full image. Args: CLASSES (list): Label category. iou_thr (float): Threshold of IoU.
mmrotate/datasets/dota_1_5.py:337
Method
_mosaic_transform
Mosaic transform function. Args: results (dict): Result dict. Returns: dict: Updated result dict.
mmrotate/datasets/pipelines/transforms.py:459
Method
_point_target_single
Single point target function.
mmrotate/models/dense_heads/sam_reppoints_head.py:296
Method
_point_target_single
Single point target function.
mmrotate/models/dense_heads/rotated_reppoints_head.py:292
Method
_point_target_single
Single point target function for initial and refine stage.
mmrotate/models/dense_heads/oriented_reppoints_head.py:649
Method
_resize_bboxes
Resize bounding boxes with ``results['scale_factor']``.
mmrotate/datasets/pipelines/transforms.py:38
Method
_set_group_flag
Set flag according to image aspect ratio. All set to 0.
mmrotate/datasets/fair.py:187
Method
_set_group_flag
Set flag according to image aspect ratio. All set to 0.
mmrotate/datasets/dota.py:157
Method
_set_group_flag
Set flag according to image aspect ratio. All set to 0.
mmrotate/datasets/dota_1_5.py:157
Method
assign
Assign gt to bboxes. The assignment is done in following steps 1. compute iou between all bbox (bbox of all pyramid levels) and gt
mmrotate/core/bbox/assigners/atss_obb_assigner.py:34
Method
assign
Assign gt to bboxes. The assignment is done in following steps 1. compute iou between all bbox (bbox of all pyramid levels) and gt
mmrotate/core/bbox/assigners/convex_assigner.py:50
Method
assign
Assign gt to bboxes. The assignment is done in following steps 1. compute iou between all bbox (bbox of all pyramid levels) and gt
mmrotate/core/bbox/assigners/max_convex_iou_assigner.py:54
Method
assign
Assign gt to bboxes. The assignment is done in following steps 1. compute iou between all bbox (bbox of all pyramid levels) and gt
mmrotate/core/bbox/assigners/atss_kld_assigner.py:31
Method
async_simple_test
Async test without augmentation. Args: x (list[Tensor]): list of multi-level img features. proposal_list (list[Tensor
mmrotate/models/roi_heads/rotate_standard_roi_head.py:210
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