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Functions1,414 in github.com/FenHua/DetDak

⨍ Functions 1,414◇ Types & classes 240
Method__init__
(self, corruption, severity=1)
mmdetection/mmdet/datasets/pipelines/transforms.py:945
Method__init__
(self, transforms, bbox_params=None, keymap=None,
mmdetection/mmdet/datasets/pipelines/transforms.py:1020
Method__init__
(self, crop_size=None, ratios=(0.9, 1.0, 1.1), border=128,
mmdetection/mmdet/datasets/pipelines/transforms.py:1258
Method__init__
(self, action_candidate=('normal', 'horizontal', 'skip'), action_prob=(1, 0,
mmdetection/mmdet/datasets/pipelines/instaboost.py:15
Method__init__
(self, to_float32=False, color_type='color', file_client_ar
mmdetection/mmdet/datasets/pipelines/loading.py:31
Method__init__
(self, to_float32=False, color_type='unchanged', file_clien
mmdetection/mmdet/datasets/pipelines/loading.py:101
Method__init__
(self, with_bbox=True, with_label=True, with_mask=False,
mmdetection/mmdet/datasets/pipelines/loading.py:183
Method__init__
(self, num_max_proposals=None)
mmdetection/mmdet/datasets/pipelines/loading.py:366
Method__init__
(self, transforms)
mmdetection/mmdet/datasets/pipelines/compose.py:17
Method__init__
(self, keys)
mmdetection/mmdet/datasets/pipelines/formating.py:44
Method__init__
(self, keys)
mmdetection/mmdet/datasets/pipelines/formating.py:77
Method__init__
(self, keys, order)
mmdetection/mmdet/datasets/pipelines/formating.py:111
Method__init__
(self, fields=(dict(key='img', stack=True), dict(key='gt_bboxes'), d
mmdetection/mmdet/datasets/pipelines/formating.py:146
Method__init__
(self, keys, meta_keys=('filename', 'ori_filename', 'ori_shape',
mmdetection/mmdet/datasets/pipelines/formating.py:290
Method__init__
(self, in_channels, out_channels, num_outs,
mmdetection/mmdet/models/necks/pafpn.py:39
Method__init__
(self, in_channels, out_channels, num_outs,
mmdetection/mmdet/models/necks/fpn.py:64
Method__init__
(self, in_channels, out_channels, dilations=(1, 3, 6, 1))
mmdetection/mmdet/models/necks/rfp.py:23
Method__init__
(self, in_channels, out_channels, num_outs=5,
mmdetection/mmdet/models/necks/hrfpn.py:30
Method__init__
(self, in_channels, out_channels, num_outs,
mmdetection/mmdet/models/necks/nasfcos_fpn.py:31
Method__init__
(self, in_channels, out_channels, num_outs,
mmdetection/mmdet/models/necks/fpn_carafe.py:33
Method__init__
(self, in_channels, num_levels, refine_level=2,
mmdetection/mmdet/models/necks/bfp.py:31
Method__init__
(self, in_channels, out_channels, num_outs,
mmdetection/mmdet/models/necks/nas_fpn.py:30
Method__init__
(self, inplanes, planes, rfp_inplanes=None,
mmdetection/mmdet/models/backbones/detectors_resnet.py:28
Method__init__
(self, sac=None, stage_with_sac=(False, False, False, False),
mmdetection/mmdet/models/backbones/detectors_resnet.py:228
Method__init__
L2 normalization layer. Args: n_dims (int): Number of dimensions to be normalized scale (float, optional): Defaults t
mmdetection/mmdet/models/backbones/ssd_vgg.py:148
Method__init__
Bottleneck block for ResNeXt. If style is "pytorch", the stride-two layer is the 3x3 conv layer, if it is "caffe", the stride-two lay
mmdetection/mmdet/models/backbones/resnext.py:14
Method__init__
Bottle2neck block for Res2Net. If style is "pytorch", the stride-two layer is the 3x3 conv layer, if it is "caffe", the stride-two la
mmdetection/mmdet/models/backbones/res2net.py:16
Method__init__
(self, block, inplanes, planes, num_blocks
mmdetection/mmdet/models/backbones/res2net.py:180
Method__init__
(self, num_branches, blocks, num_blocks, i
mmdetection/mmdet/models/backbones/hrnet.py:19
Method__init__
(self, groups=1, base_width=4, **kwargs)
mmdetection/mmdet/models/backbones/detectors_resnext.py:112
Method__init__
(self, inplanes, planes, stride=1, dilatio
mmdetection/mmdet/models/backbones/resnet.py:16
Method__init__
Bottleneck block for ResNet. If style is "pytorch", the stride-two layer is the 3x3 conv layer, if it is "caffe", the stride-two laye
mmdetection/mmdet/models/backbones/resnet.py:98
Method__init__
(self, **kwargs)
mmdetection/mmdet/models/backbones/resnet.py:662
Method__init__
(self, depth, stage_channels, stage_blocks,
mmdetection/mmdet/models/backbones/hourglass.py:23
Method__init__
(self, arch, in_channels=3, stem_channels=32,
mmdetection/mmdet/models/backbones/regnet.py:84
Method__init__
(self, num_classes, in_channels, point_feat_channels=256,
mmdetection/mmdet/models/dense_heads/reppoints_head.py:32
Method__init__
( self, num_classes, in_channels, feat_channels=256, approx_anchor_gen
mmdetection/mmdet/models/dense_heads/guided_anchor_head.py:89
Method__init__
(self, num_classes, in_channels, stacked_convs=4,
mmdetection/mmdet/models/dense_heads/retina_head.py:28
Method__init__
(self, num_classes, in_channels, stacked_convs=4,
mmdetection/mmdet/models/dense_heads/ga_retina_head.py:13
Method__init__
(self)
mmdetection/mmdet/models/dense_heads/base_dense_head.py:9
Method__init__
(self, num_classes=80, in_channels=(512, 1024, 512, 256, 256, 256),
mmdetection/mmdet/models/dense_heads/ssd_head.py:33
Method__init__
(self, num_classes, num_ins, in_channels,
mmdetection/mmdet/models/dense_heads/retina_sepbn_head.py:17
Method__init__
(self, num_classes, in_channels, feat_channels=256,
mmdetection/mmdet/models/dense_heads/anchor_head.py:35
Method__init__
(self, num_classes, in_channels, feat_channels=256,
mmdetection/mmdet/models/dense_heads/anchor_free_head.py:41
Method__init__
(self, in_channels, out_channels, kernel_size=3,
mmdetection/mmdet/models/dense_heads/fovea_head.py:15
Method__init__
(self, num_classes, in_channels, stacked_convs=4,
mmdetection/mmdet/models/dense_heads/free_anchor_retina_head.py:31
Method__init__
(self, in_channels, **kwargs)
mmdetection/mmdet/models/dense_heads/ga_rpn_head.py:16
Method__init__
(self, *args, score_threshold=None, **kwargs)
mmdetection/mmdet/models/dense_heads/fsaf_head.py:40
Method__init__
(self, num_classes, in_channels, stacked_convs=4,
mmdetection/mmdet/models/dense_heads/atss_head.py:32
Method__init__
(self, reg_max=16)
mmdetection/mmdet/models/dense_heads/gfl_head.py:36
Method__init__
(self, in_channels, **kwargs)
mmdetection/mmdet/models/dense_heads/rpn_head.py:20
Method__init__
(self, num_classes, in_channels, regress_ranges=((-1, 64),
mmdetection/mmdet/models/dense_heads/fcos_head.py:56
Method__init__
(self, in_channels, directions, feat_channels=128,
mmdetection/mmdet/models/dense_heads/corner_head.py:25
Method__init__
(self, block, inplanes, planes, num_blocks
mmdetection/mmdet/models/utils/res_layer.py:24
Method__init__
(self, point_head, *args, **kwargs)
mmdetection/mmdet/models/roi_heads/point_rend_roi_head.py:17
Method__init__
(self, mask_iou_head, **kwargs)
mmdetection/mmdet/models/roi_heads/mask_scoring_roi_head.py:15
Method__init__
(self, reg_roi_scale_factor, **kwargs)
mmdetection/mmdet/models/roi_heads/double_roi_head.py:12
Method__init__
(self, grid_roi_extractor, grid_head, **kwargs)
mmdetection/mmdet/models/roi_heads/grid_roi_head.py:15
Method__init__
(self, bbox_roi_extractor=None, bbox_head=None, mask_roi_ex
mmdetection/mmdet/models/roi_heads/base_roi_head.py:11
Method__init__
(self, **kwargs)
mmdetection/mmdet/models/roi_heads/dynamic_roi_head.py:14
Method__init__
(self, num_stages, stage_loss_weights, semantic_roi_extract
mmdetection/mmdet/models/roi_heads/htc_roi_head.py:17
Method__init__
(self, num_stages, stage_loss_weights, bbox_roi_extractor=N
mmdetection/mmdet/models/roi_heads/cascade_roi_head.py:19
Method__init__
(self, roi_layer, out_channels, featmap_strides)
mmdetection/mmdet/models/roi_heads/roi_extractors/base_roi_extractor.py:17
Method__init__
(self, roi_layer, out_channels, featmap_strides,
mmdetection/mmdet/models/roi_heads/roi_extractors/single_level_roi_extractor.py:23
Method__init__
(self, aggregation='sum', pre_cfg=None, post_cfg=None,
mmdetection/mmdet/models/roi_heads/roi_extractors/generic_roi_extractor.py:24
Method__init__
(self, num_classes, num_fcs=3, in_channels=256,
mmdetection/mmdet/models/roi_heads/mask_heads/mask_point_head.py:37
Method__init__
(self, num_convs=4, roi_feat_size=14, in_channels=256,
mmdetection/mmdet/models/roi_heads/mask_heads/fcn_mask_head.py:22
Method__init__
(self, grid_points=9, num_convs=8, roi_feat_size=14,
mmdetection/mmdet/models/roi_heads/mask_heads/grid_head.py:13
Method__init__
(self, num_ins, fusion_level, num_convs=4,
mmdetection/mmdet/models/roi_heads/mask_heads/fused_semantic_head.py:26
Method__init__
(self, num_convs=4, num_fcs=2, roi_feat_size=14,
mmdetection/mmdet/models/roi_heads/mask_heads/maskiou_head.py:19
Method__init__
(self, with_conv_res=True, *args, **kwargs)
mmdetection/mmdet/models/roi_heads/mask_heads/htc_mask_head.py:10
Method__init__
(self, num_convs=0, num_fcs=2, fc_out_channels=1024,
mmdetection/mmdet/models/roi_heads/mask_heads/coarse_mask_head.py:25
Method__init__
(self, with_avg_pool=False, with_cls=True, with_reg=True,
mmdetection/mmdet/models/roi_heads/bbox_heads/bbox_head.py:17
Method__init__
(self, num_convs=0, num_fcs=0, conv_out_channels=1024,
mmdetection/mmdet/models/roi_heads/bbox_heads/double_bbox_head.py:86
Method__init__
(self, fc_out_channels=1024, *args, **kwargs)
mmdetection/mmdet/models/roi_heads/bbox_heads/convfc_bbox_head.py:179
Method__init__
(self, fc_out_channels=1024, *args, **kwargs)
mmdetection/mmdet/models/roi_heads/bbox_heads/convfc_bbox_head.py:195
Method__init__
(self, depth, stage=3, stride=2, dilation=
mmdetection/mmdet/models/roi_heads/shared_heads/res_layer.py:15
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdetection/mmdet/models/detectors/fsaf.py:9
Method__init__
(self, backbone, rpn_head, roi_head, train
mmdetection/mmdet/models/detectors/grid_rcnn.py:14
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdetection/mmdet/models/detectors/fcos.py:9
Method__init__
(self, backbone, roi_head, train_cfg, test
mmdetection/mmdet/models/detectors/fast_rcnn.py:9
Method__init__
(self, backbone, rpn_head, roi_head, train
mmdetection/mmdet/models/detectors/faster_rcnn.py:9
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdetection/mmdet/models/detectors/reppoints_detector.py:16
Method__init__
(self, **kwargs)
mmdetection/mmdet/models/detectors/htc.py:9
Method__init__
(self, backbone, neck=None, rpn_head=None,
mmdetection/mmdet/models/detectors/two_stage.py:17
Method__init__
(self, backbone, rpn_head, roi_head, train
mmdetection/mmdet/models/detectors/point_rend.py:14
Method__init__
(self, backbone, rpn_head, roi_head, train
mmdetection/mmdet/models/detectors/mask_rcnn.py:9
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdetection/mmdet/models/detectors/atss.py:9
Method__init__
(self)
mmdetection/mmdet/models/detectors/base.py:18
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdetection/mmdet/models/detectors/nasfcos.py:12
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdetection/mmdet/models/detectors/gfl.py:8
Method__init__
(self, backbone, neck=None, rpn_head=None,
mmdetection/mmdet/models/detectors/cascade_rcnn.py:10
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdetection/mmdet/models/detectors/fovea.py:9
Method__init__
(self, backbone, rpn_head, roi_head, train
mmdetection/mmdet/models/detectors/mask_scoring_rcnn.py:12
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdetection/mmdet/models/detectors/retinanet.py:9
Method__init__
(self, backbone, neck, rpn_head, train_cfg
mmdetection/mmdet/models/detectors/rpn.py:12
Method__init__
(self, backbone, neck=None, bbox_head=None,
mmdetection/mmdet/models/detectors/single_stage.py:16
Method__init__
(self, pull_weight=0.25, push_weight=0.25)
mmdetection/mmdet/models/losses/ae_loss.py:85
Method__init__
(self, alpha=0.5, gamma=1.5, beta=1.0, red
mmdetection/mmdet/models/losses/balanced_l1_loss.py:68
Method__init__
(self, reduction='mean', loss_weight=1.0)
mmdetection/mmdet/models/losses/gfocal_loss.py:153
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