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Functions1,004 in github.com/WXinlong/SOLO

Functioncross_entropy
(pred, label, weight=None, reduction='mean', avg_factor=None)
mmdet/models/losses/cross_entropy_loss.py:9
Functiondeconv_flops_counter_hook
(conv_module, input, output)
mmdet/utils/flops_counter.py:294
Functiondel_extra_repr
(m)
mmdet/utils/flops_counter.py:140
Methoddot_product
(self, theta_x, phi_x)
mmdet/models/plugins/non_local.py:83
Methodembedded_gaussian
(self, theta_x, phi_x)
mmdet/models/plugins/non_local.py:74
Functionempty_flops_counter_hook
(module, input, output)
mmdet/utils/flops_counter.py:245
Methodevaluate
(self, runner, results)
mmdet/core/evaluation/eval_hooks.py:78
Methodevaluate
(self, runner, results)
mmdet/core/evaluation/eval_hooks.py:110
Methodevaluate
(self, runner, results)
mmdet/core/evaluation/eval_hooks.py:122
Functionexpand_target
(bbox_targets, bbox_weights, labels, num_classes)
mmdet/core/bbox/bbox_target.py:64
Methodfcos_target_single
(self, gt_bboxes, gt_labels, points, regress_ranges)
mmdet/models/anchor_heads/fcos_head.py:355
Functionflops_repr
(self)
mmdet/utils/flops_counter.py:123
Functionforce_fp32
Decorator to convert input arguments to fp32 in force. This decorator is useful when you write custom modules and want to support mixed preci
mmdet/core/fp16/decorators.py:86
Functionforce_fp32_wrapper
(old_func)
mmdet/core/fp16/decorators.py:117
Methodforward
(self, x)
mmdet/ops/context_block.py:90
Methodforward
(ctx, input, target, gamma=2.0, alpha=0.25)
mmdet/ops/sigmoid_focal_loss/sigmoid_focal_loss.py:11
Methodforward
(ctx, features, rois, out_size, spatial_scale, sample_num=0)
mmdet/ops/roi_align/roi_align.py:12
Methodforward
(ctx, features, rois, out_size, spatial_scale)
mmdet/ops/roi_pool/roi_pool.py:13
Methodforward
(ctx, data, rois, offset, spatial_scale,
mmdet/ops/dcn/deform_pool.py:13
Methodforward
(self, data, rois, offset)
mmdet/ops/dcn/deform_pool.py:103
Methodforward
(self, data, rois)
mmdet/ops/dcn/deform_pool.py:149
Methodforward
(self, data, rois)
mmdet/ops/dcn/deform_pool.py:229
Methodforward
(ctx, input, offset, weight, stride=1,
mmdet/ops/dcn/deform_conv.py:16
Methodforward
(ctx, input, offset, mask, weight,
mmdet/ops/dcn/deform_conv.py:117
Methodforward
(self, x, offset)
mmdet/ops/dcn/deform_conv.py:238
Methodforward
(self, x)
mmdet/ops/dcn/deform_conv.py:278
Methodforward
(self, x, offset, mask)
mmdet/ops/dcn/deform_conv.py:355
Methodforward
(self, x)
mmdet/ops/dcn/deform_conv.py:396
Methodforward
(ctx, features, mask, weight, bias, padding=0, stride=1)
mmdet/ops/masked_conv/masked_conv.py:15
Methodforward
(self, input, mask=None)
mmdet/ops/masked_conv/masked_conv.py:84
Methodforward
(self, inputs)
mmdet/models/necks/hrfpn.py:78
Methodforward
(self, inputs)
mmdet/models/necks/bfp.py:71
Methodforward
(self, x1, x2, out_size)
mmdet/models/necks/nas_fpn.py:37
Methodforward
(self, inputs)
mmdet/models/necks/nas_fpn.py:156
Methodforward
(self, x)
mmdet/models/backbones/ssd_vgg.py:96
Methodforward
(self, x)
mmdet/models/backbones/ssd_vgg.py:148
Methodforward
(self, x)
mmdet/models/backbones/hrnet.py:175
Methodforward
(self, x)
mmdet/models/backbones/hrnet.py:482
Methodforward
(self, x)
mmdet/models/backbones/resnet.py:66
Methodforward
(self, x)
mmdet/models/backbones/resnet.py:204
Methodforward
(self, x)
mmdet/models/backbones/resnet.py:496
Methodforward
(self, x, activate=True, norm=True)
mmdet/models/utils/conv_module.py:159
Methodforward
(self, x)
mmdet/models/utils/conv_ws.py:44
Methodforward
(self, x)
mmdet/models/utils/scale.py:14
Methodforward
Calls either forward_train or forward_test depending on whether return_loss=True. Note this setting will change the expected inputs.
mmdet/models/detectors/base.py:132
Methodforward
(self, feats, rois, roi_scale_factor=None)
mmdet/models/roi_extractors/single_level.py:90
Methodforward
(self, x)
mmdet/models/mask_heads/fcn_mask_head.py:95
Methodforward
(self, x)
mmdet/models/mask_heads/grid_head.py:153
Methodforward
(self, inputs)
mmdet/models/mask_heads/mask_feat_head.py:100
Methodforward
(self, feats)
mmdet/models/mask_heads/fused_semantic_head.py:85
Methodforward
(self, mask_feat, mask_pred)
mmdet/models/mask_heads/maskiou_head.py:77
Methodforward
(self, x, res_feat=None, return_logits=True, return_feat=True)
mmdet/models/mask_heads/htc_mask_head.py:22
Methodforward
(self, x)
mmdet/models/bbox_heads/bbox_head.py:72
Methodforward
(self, x)
mmdet/models/bbox_heads/double_bbox_head.py:59
Methodforward
(self, x_cls, x_reg)
mmdet/models/bbox_heads/double_bbox_head.py:150
Methodforward
(self, x)
mmdet/models/bbox_heads/convfc_bbox_head.py:132
Methodforward
(self, x_input)
mmdet/models/plugins/generalized_attention.py:196
Methodforward
(self, x)
mmdet/models/plugins/non_local.py:89
Methodforward
(self, x)
mmdet/models/shared_heads/res_layer.py:61
Methodforward
(self, pred, target, weight=None, avg_factor=N
mmdet/models/losses/balanced_l1_loss.py:49
Methodforward
(self, pred, target, weight=None, avg_factor=N
mmdet/models/losses/smooth_l1_loss.py:27
Methodforward
(self, pred, target, weight=None, avg_factor=None)
mmdet/models/losses/mse_loss.py:18
Methodforward
(self, pred, target)
mmdet/models/losses/accuracy.py:30
Methodforward
Calculate the GHM-C loss. Args: pred (float tensor of size [batch_num, class_num]): The direct prediction of clas
mmdet/models/losses/ghm_loss.py:49
Methodforward
Calculate the GHM-R loss. Args: pred (float tensor of size [batch_num, 4 (* class_num)]): The prediction of box r
mmdet/models/losses/ghm_loss.py:126
Methodforward
(self, pred, target, weight=None, avg_factor=N
mmdet/models/losses/iou_loss.py:126
Methodforward
(self, pred, target, weight=None, avg_factor=N
mmdet/models/losses/iou_loss.py:159
Methodforward
(self, pred, target, weight=None, avg_factor=N
mmdet/models/losses/iou_loss.py:192
Methodforward
(self, cls_score, label, weight=None, avg_fact
mmdet/models/losses/cross_entropy_loss.py:86
Methodforward
(self, pred, target, weight=None, avg_factor=N
mmdet/models/losses/focal_loss.py:62
Methodforward
(self, feats, eval=False)
mmdet/models/anchor_heads/decoupled_solo_light_head.py:142
Methodforward
(self, feats, eval=False)
mmdet/models/anchor_heads/decoupled_solo_head.py:145
Methodforward
(self, feats)
mmdet/models/anchor_heads/reppoints_head.py:290
Methodforward
(self, feats, eval=False)
mmdet/models/anchor_heads/solov2_head.py:134
Methodforward
(self, x, shape)
mmdet/models/anchor_heads/guided_anchor_head.py:53
Methodforward
(self, feats)
mmdet/models/anchor_heads/guided_anchor_head.py:210
Methodforward
(self, feats)
mmdet/models/anchor_heads/ssd_head.py:102
Methodforward
(self, feats)
mmdet/models/anchor_heads/retina_sepbn_head.py:91
Methodforward
(self, feats)
mmdet/models/anchor_heads/anchor_head.py:97
Methodforward
(self, x, shape)
mmdet/models/anchor_heads/fovea_head.py:37
Methodforward
(self, feats)
mmdet/models/anchor_heads/fovea_head.py:156
Methodforward
(self, feats)
mmdet/models/anchor_heads/atss_head.py:108
Methodforward
(self, feats, eval=False)
mmdet/models/anchor_heads/solov2_light_head.py:134
Methodforward
(self, feats)
mmdet/models/anchor_heads/fcos_head.py:113
Methodforward
(self, feats, eval=False)
mmdet/models/anchor_heads/solo_head.py:128
Methodforward_dummy
(self, img)
mmdet/models/detectors/grid_rcnn.py:83
Methodforward_dummy
(self, img)
mmdet/models/detectors/htc.py:157
Methodforward_dummy
Used for computing network flops. See `mmedetection/tools/get_flops.py`
mmdet/models/detectors/two_stage.py:97
Methodforward_dummy
(self, img)
mmdet/models/detectors/single_stage_ins.py:55
Methodforward_dummy
(self, img)
mmdet/models/detectors/cascade_rcnn.py:121
Methodforward_dummy
(self, img)
mmdet/models/detectors/mask_scoring_rcnn.py:45
Methodforward_dummy
(self, img)
mmdet/models/detectors/double_head_rcnn.py:15
Methodforward_dummy
(self, img)
mmdet/models/detectors/rpn.py:41
Methodforward_dummy
Used for computing network flops. See `mmedetection/tools/get_flops.py`
mmdet/models/detectors/single_stage.py:52
Methodforward_single
(self, x, idx, eval=False, upsampled_size=None)
mmdet/models/anchor_heads/decoupled_solo_light_head.py:158
Methodforward_single
(self, x, idx, eval=False, upsampled_size=None)
mmdet/models/anchor_heads/decoupled_solo_head.py:161
Methodforward_single
(self, x)
mmdet/models/anchor_heads/reppoints_head.py:249
Methodforward_single
(self, x, idx, eval=False, upsampled_size=None)
mmdet/models/anchor_heads/solov2_head.py:150
Methodforward_single
(self, x)
mmdet/models/anchor_heads/guided_anchor_head.py:197
Methodforward_single
(self, x)
mmdet/models/anchor_heads/retina_head.py:94
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