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Functions1,004 in github.com/WXinlong/SOLO

⨍ Functions 1,004◇ Types & classes 169
Method__init__
(self, mean=(0, 0, 0), to_rgb=True, ratio_range=(1, 4),
mmdet/datasets/pipelines/transforms.py:548
Method__init__
(self, min_ious=(0.1, 0.3, 0.5, 0.7, 0.9), min_crop_size=0.3)
mmdet/datasets/pipelines/transforms.py:623
Method__init__
(self, corruption, severity=1)
mmdet/datasets/pipelines/transforms.py:702
Method__init__
Adds custom transformations from Albumentations lib. Please, visit `https://albumentations.readthedocs.io` to get more inform
mmdet/datasets/pipelines/transforms.py:725
Method__init__
(self, action_candidate=('normal', 'horizontal', 'skip'), action_prob=(1, 0,
mmdet/datasets/pipelines/instaboost.py:14
Method__init__
(self, to_float32=False, color_type='color')
mmdet/datasets/pipelines/loading.py:13
Method__init__
(self, with_bbox=True, with_label=True, with_mask=False,
mmdet/datasets/pipelines/loading.py:40
Method__init__
(self, num_max_proposals=None)
mmdet/datasets/pipelines/loading.py:122
Method__init__
(self, transforms)
mmdet/datasets/pipelines/compose.py:10
Method__init__
(self, transforms, img_scale, flip=False)
mmdet/datasets/pipelines/test_aug.py:10
Method__init__
(self, keys)
mmdet/datasets/pipelines/formating.py:35
Method__init__
(self, keys)
mmdet/datasets/pipelines/formating.py:50
Method__init__
(self, keys, order)
mmdet/datasets/pipelines/formating.py:68
Method__init__
(self, fields=(dict(key='img', stack=True), dict(key='gt_bboxes'), d
mmdet/datasets/pipelines/formating.py:85
Method__init__
(self, keys, meta_keys=('filename', 'ori_shape', 'img_shape', 'pad_shape',
mmdet/datasets/pipelines/formating.py:173
Method__init__
(self, dataset, num_replicas=None, rank=None, shuffle=True)
mmdet/datasets/loader/sampler.py:13
Method__init__
(self, dataset, samples_per_gpu=1, num_replicas=None,
mmdet/datasets/loader/sampler.py:93
Method__init__
(self, in_channels, out_channels, num_outs,
mmdet/models/necks/fpn.py:13
Method__init__
(self, in_channels, out_channels, num_outs=5,
mmdet/models/necks/hrfpn.py:30
Method__init__
(self, in_channels, num_levels, refine_level=2,
mmdet/models/necks/bfp.py:31
Method__init__
(self, channels=256, with_conv=True, norm_cfg=None)
mmdet/models/necks/nas_fpn.py:11
Method__init__
(self, in_channels, out_channels, num_outs,
mmdet/models/necks/nas_fpn.py:75
Method__init__
(self, n_dims, scale=20., eps=1e-10)
mmdet/models/backbones/ssd_vgg.py:141
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 laye
mmdet/models/backbones/resnext.py:13
Method__init__
(self, num_branches, blocks, num_blocks, i
mmdet/models/backbones/hrnet.py:17
Method__init__
(self, inplanes, planes, stride=1, dilatio
mmdet/models/backbones/resnet.py:17
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 layer
mmdet/models/backbones/resnet.py:88
Method__init__
(self, in_channels, out_channels, kernel_size,
mmdet/models/utils/conv_module.py:70
Method__init__
(self, in_channels, out_channels, kernel_size,
mmdet/models/utils/conv_ws.py:23
Method__init__
(self, scale=1.0)
mmdet/models/utils/scale.py:10
Method__init__
(self, backbone, rpn_head, bbox_roi_extractor,
mmdet/models/detectors/grid_rcnn.py:18
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdet/models/detectors/fcos.py:8
Method__init__
(self, backbone, bbox_roi_extractor, bbox_head,
mmdet/models/detectors/fast_rcnn.py:8
Method__init__
(self, backbone, rpn_head, bbox_roi_extractor,
mmdet/models/detectors/faster_rcnn.py:8
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdet/models/detectors/reppoints_detector.py:16
Method__init__
(self, num_stages, backbone, semantic_roi_extractor=None,
mmdet/models/detectors/htc.py:15
Method__init__
(self, backbone, neck=None, shared_head=None,
mmdet/models/detectors/two_stage.py:20
Method__init__
(self, backbone, neck, bbox_head, mask_fea
mmdet/models/detectors/solov2.py:8
Method__init__
(self, backbone, neck=None, bbox_head=None,
mmdet/models/detectors/single_stage_ins.py:12
Method__init__
(self, backbone, rpn_head, bbox_roi_extractor,
mmdet/models/detectors/mask_rcnn.py:8
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdet/models/detectors/atss.py:8
Method__init__
(self)
mmdet/models/detectors/base.py:15
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdet/models/detectors/solo.py:8
Method__init__
(self, num_stages, backbone, neck=None, sh
mmdet/models/detectors/cascade_rcnn.py:18
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdet/models/detectors/fovea.py:8
Method__init__
(self, backbone, rpn_head, bbox_roi_extractor,
mmdet/models/detectors/mask_scoring_rcnn.py:16
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdet/models/detectors/retinanet.py:8
Method__init__
(self, reg_roi_scale_factor, **kwargs)
mmdet/models/detectors/double_head_rcnn.py:11
Method__init__
(self, backbone, neck, rpn_head, train_cfg
mmdet/models/detectors/rpn.py:13
Method__init__
(self, backbone, neck=None, bbox_head=None,
mmdet/models/detectors/single_stage.py:17
Method__init__
(self, roi_layer, out_channels, featmap_strides,
mmdet/models/roi_extractors/single_level.py:25
Method__init__
(self, num_convs=4, roi_feat_size=14, in_channels=256,
mmdet/models/mask_heads/fcn_mask_head.py:17
Method__init__
(self, grid_points=9, num_convs=8, roi_feat_size=14,
mmdet/models/mask_heads/grid_head.py:15
Method__init__
(self, in_channels, out_channels, start_level,
mmdet/models/mask_heads/mask_feat_head.py:15
Method__init__
(self, num_ins, fusion_level, num_convs=4,
mmdet/models/mask_heads/fused_semantic_head.py:25
Method__init__
(self, num_convs=4, num_fcs=2, roi_feat_size=14,
mmdet/models/mask_heads/maskiou_head.py:19
Method__init__
(self, *args, **kwargs)
mmdet/models/mask_heads/htc_mask_head.py:9
Method__init__
(self, with_avg_pool=False, with_cls=True, with_reg=True,
mmdet/models/bbox_heads/bbox_head.py:18
Method__init__
(self, num_convs=0, num_fcs=0, conv_out_channels=1024,
mmdet/models/bbox_heads/double_bbox_head.py:85
Method__init__
(self, num_fcs=2, fc_out_channels=1024, *args, **kwargs)
mmdet/models/bbox_heads/convfc_bbox_head.py:176
Method__init__
(self, in_dim, spatial_range=-1, num_heads=9,
mmdet/models/plugins/generalized_attention.py:34
Method__init__
(self, in_channels, reduction=2, use_scale=True,
mmdet/models/plugins/non_local.py:24
Method__init__
(self, depth, stage=3, stride=2, dilation=
mmdet/models/shared_heads/res_layer.py:14
Method__init__
(self, alpha=0.5, gamma=1.5, beta=1.0, red
mmdet/models/losses/balanced_l1_loss.py:36
Method__init__
(self, beta=1.0, reduction='mean', loss_weight=1.0)
mmdet/models/losses/smooth_l1_loss.py:21
Method__init__
(self, reduction='mean', loss_weight=1.0)
mmdet/models/losses/mse_loss.py:13
Method__init__
(self, topk=(1, ))
mmdet/models/losses/accuracy.py:26
Method__init__
(self, mu=0.02, bins=10, momentum=0, loss_weight=1.0)
mmdet/models/losses/ghm_loss.py:112
Method__init__
(self, beta=0.2, eps=1e-3, reduction='mean', loss_weight=1.0)
mmdet/models/losses/iou_loss.py:152
Method__init__
(self, eps=1e-6, reduction='mean', loss_weight=1.0)
mmdet/models/losses/iou_loss.py:186
Method__init__
(self, use_sigmoid=False, use_mask=False, reduction='mean',
mmdet/models/losses/cross_entropy_loss.py:67
Method__init__
(self, use_sigmoid=True, gamma=2.0, alpha=0.25,
mmdet/models/losses/focal_loss.py:48
Method__init__
(self, num_classes, in_channels, seg_feat_channels=256,
mmdet/models/anchor_heads/decoupled_solo_light_head.py:45
Method__init__
(self, num_classes, in_channels, seg_feat_channels=256,
mmdet/models/anchor_heads/decoupled_solo_head.py:45
Method__init__
(self, num_classes, in_channels, feat_channels=256,
mmdet/models/anchor_heads/reppoints_head.py:38
Method__init__
(self, num_classes, in_channels, seg_feat_channels=256,
mmdet/models/anchor_heads/solov2_head.py:46
Method__init__
( self, num_classes, in_channels, feat_channels=256, octave_base_scale
mmdet/models/anchor_heads/guided_anchor_head.py:96
Method__init__
(self, num_classes, in_channels, stacked_convs=4,
mmdet/models/anchor_heads/retina_head.py:33
Method__init__
(self, num_classes, in_channels, stacked_convs=4,
mmdet/models/anchor_heads/ga_retina_head.py:14
Method__init__
(self, input_size=300, num_classes=81, in_channels=(512, 10
mmdet/models/anchor_heads/ssd_head.py:17
Method__init__
(self, num_classes, num_ins, in_channels,
mmdet/models/anchor_heads/retina_sepbn_head.py:19
Method__init__
(self, num_classes, in_channels, feat_channels=256,
mmdet/models/anchor_heads/anchor_head.py:33
Method__init__
(self, in_channels, out_channels, kernel_size=3,
mmdet/models/anchor_heads/fovea_head.py:16
Method__init__
(self, num_classes, in_channels, stacked_convs=4,
mmdet/models/anchor_heads/free_anchor_retina_head.py:12
Method__init__
(self, in_channels, **kwargs)
mmdet/models/anchor_heads/ga_rpn_head.py:16
Method__init__
(self, num_classes, in_channels, stacked_convs=4,
mmdet/models/anchor_heads/atss_head.py:36
Method__init__
(self, num_classes, in_channels, seg_feat_channels=256,
mmdet/models/anchor_heads/solov2_light_head.py:46
Method__init__
(self, in_channels, **kwargs)
mmdet/models/anchor_heads/rpn_head.py:15
Method__init__
(self, num_classes, in_channels, feat_channels=256,
mmdet/models/anchor_heads/fcos_head.py:32
Method__init__
(self, num_classes, in_channels, seg_feat_channels=256,
mmdet/models/anchor_heads/solo_head.py:46
Method__init__
(self, model_config, checkpoint=None, streamqueue_size=3,
tests/test_async.py:32
Method__iter__
(self)
mmdet/datasets/loader/sampler.py:17
Method__iter__
(self)
mmdet/datasets/loader/sampler.py:50
Method__iter__
(self)
mmdet/datasets/loader/sampler.py:120
Method__len__
(self)
mmdet/datasets/custom.py:83
Method__len__
(self)
mmdet/datasets/dataset_wrappers.py:54
Method__len__
(self)
mmdet/datasets/loader/sampler.py:74
Method__len__
(self)
mmdet/datasets/loader/sampler.py:160
Method__nice__
(self)
mmdet/core/bbox/samplers/sampling_result.py:70
Method__nice__
Create a "nice" summary string describing this assign result
mmdet/core/bbox/assigners/assign_result.py:69
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