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Functions1,004 in github.com/WXinlong/SOLO

⨍ Functions 1,004◇ Types & classes 169
↓ 1 callersMethodrandom_sample_ratio
(img_scale, ratio_range)
mmdet/datasets/pipelines/transforms.py:96
↓ 1 callersMethodrandom_select
(img_scales)
mmdet/datasets/pipelines/transforms.py:75
↓ 1 callersFunctionreadme
()
setup.py:17
↓ 1 callersFunctionreduce_loss
Reduce loss as specified. Args: loss (Tensor): Elementwise loss tensor. reduction (str): Options are "none", "mean" and "sum".
mmdet/models/losses/utils.py:6
↓ 1 callersFunctionremove_batch_counter_hook_function
(module)
mmdet/utils/flops_counter.py:409
↓ 1 callersMethodreset_parameters
(self)
mmdet/ops/context_block.py:54
↓ 1 callersMethodreset_parameters
(self)
mmdet/ops/dcn/deform_conv.py:231
↓ 1 callersMethodreset_parameters
(self)
mmdet/ops/dcn/deform_conv.py:346
↓ 1 callersFunctionresults2json_segm
(dataset, results, out_file)
mmdet/core/evaluation/coco_utils.py:244
↓ 1 callersMethodroi_rescale
(self, rois, scale_factor)
mmdet/models/roi_extractors/single_level.py:75
↓ 1 callersMethodsample_via_interval
(self, max_overlaps, full_set, num_expected)
mmdet/core/bbox/samplers/iou_balanced_neg_sampler.py:44
↓ 1 callersFunctionsegm2json
(dataset, results)
mmdet/core/evaluation/coco_utils.py:163
↓ 1 callersFunctionsegm2json_segm
(dataset, results)
mmdet/core/evaluation/coco_utils.py:201
↓ 1 callersFunctionset_recall_param
Check proposal_nums and iou_thrs and set correct format.
mmdet/core/evaluation/recall.py:40
↓ 1 callersMethodsimple_test
(self, img, img_meta, **kwargs)
mmdet/models/detectors/base.py:71
↓ 1 callersMethodsimple_test
(self, img, img_meta, rescale=False)
mmdet/models/detectors/rpn.py:62
↓ 1 callersMethodsimple_test_mask
(self, x, img_meta, det_bboxes,
mmdet/models/detectors/test_mixins.py:202
↓ 1 callersFunctionsingle_gpu_test
(model, data_loader, show=False)
tools/test.py:19
↓ 1 callersFunctionsingle_gpu_test
(model, data_loader, show=False)
tools/test_robustness.py:103
↓ 1 callersFunctionsingle_gpu_test
(model, data_loader, show=False, verbose=True)
tools/test_ins.py:41
↓ 1 callersFunctionsingle_gpu_test
(model, data_loader, args, cfg=None, verbose=True)
tools/test_ins_vis.py:83
↓ 1 callersMethodspatial_pool
(self, x)
mmdet/ops/context_block.py:64
↓ 1 callersMethodsplit_feats
(self, feats)
mmdet/models/anchor_heads/decoupled_solo_light_head.py:151
↓ 1 callersMethodsplit_feats
(self, feats)
mmdet/models/anchor_heads/decoupled_solo_head.py:154
↓ 1 callersMethodsplit_feats
(self, feats)
mmdet/models/anchor_heads/solov2_head.py:143
↓ 1 callersMethodsplit_feats
(self, feats)
mmdet/models/anchor_heads/solov2_light_head.py:143
↓ 1 callersMethodsplit_feats
(self, feats)
mmdet/models/anchor_heads/solo_head.py:137
↓ 1 callersFunctiontrain_detector
(model, dataset, cfg, distributed=False,
mmdet/apis/train.py:87
↓ 1 callersFunctionvis_seg
(data, result, img_norm_cfg, data_id, colors, score_thr, save_dir)
tools/test_ins_vis.py:21
↓ 1 callersFunctionvoc_classes
()
mmdet/core/evaluation/class_names.py:8
↓ 1 callersFunctionvoc_eval
(result_file, dataset, iou_thr=0.5, nproc=4)
tools/voc_eval.py:9
↓ 1 callersFunctionvoc_eval_with_return
(result_file, dataset, iou_thr=0.5,
tools/test_robustness.py:76
↓ 1 callersFunctionweighted_loss
Create a weighted version of a given loss function. To use this decorator, the loss function must have the signature like `loss_func(pred, ta
mmdet/models/losses/utils.py:55
↓ 1 callersFunctionwrite_version_py
()
setup.py:76
Method__call__
(self, results)
mmdet/apis/inference.py:53
Method__call__
(self, results)
mmdet/datasets/pipelines/transforms.py:171
Method__call__
(self, results)
mmdet/datasets/pipelines/transforms.py:231
Method__call__
(self, results)
mmdet/datasets/pipelines/transforms.py:312
Method__call__
(self, results)
mmdet/datasets/pipelines/transforms.py:341
Method__call__
(self, results)
mmdet/datasets/pipelines/transforms.py:366
Method__call__
(self, results)
mmdet/datasets/pipelines/transforms.py:433
Method__call__
(self, results)
mmdet/datasets/pipelines/transforms.py:477
Method__call__
(self, results)
mmdet/datasets/pipelines/transforms.py:564
Method__call__
(self, results)
mmdet/datasets/pipelines/transforms.py:628
Method__call__
(self, results)
mmdet/datasets/pipelines/transforms.py:706
Method__call__
(self, results)
mmdet/datasets/pipelines/transforms.py:823
Method__call__
(self, results)
mmdet/datasets/pipelines/instaboost.py:74
Method__call__
(self, results)
mmdet/datasets/pipelines/loading.py:17
Method__call__
(self, results)
mmdet/datasets/pipelines/loading.py:98
Method__call__
(self, results)
mmdet/datasets/pipelines/loading.py:125
Method__call__
(self, data)
mmdet/datasets/pipelines/compose.py:22
Method__call__
(self, results)
mmdet/datasets/pipelines/test_aug.py:17
Method__call__
(self, results)
mmdet/datasets/pipelines/formating.py:38
Method__call__
(self, results)
mmdet/datasets/pipelines/formating.py:53
Method__call__
(self, results)
mmdet/datasets/pipelines/formating.py:72
Method__call__
(self, results)
mmdet/datasets/pipelines/formating.py:90
Method__call__
(self, results)
mmdet/datasets/pipelines/formating.py:119
Method__call__
(self, results)
mmdet/datasets/pipelines/formating.py:180
Method__getitem__
(self, idx)
mmdet/datasets/custom.py:127
Method__getitem__
(self, idx)
mmdet/datasets/dataset_wrappers.py:51
Method__init__
(self, inplanes, ratio, pooling_type='att',
mmdet/ops/context_block.py:15
Method__init__
(self, gamma, alpha)
mmdet/ops/sigmoid_focal_loss/sigmoid_focal_loss.py:41
Method__init__
(self, out_size, spatial_scale, sample_num=0,
mmdet/ops/roi_align/roi_align.py:61
Method__init__
(self, out_size, spatial_scale, use_torchvision=False)
mmdet/ops/roi_pool/roi_pool.py:55
Method__init__
(self, spatial_scale, out_size, out_channels,
mmdet/ops/dcn/deform_pool.py:115
Method__init__
(self, spatial_scale, out_size, out_channels,
mmdet/ops/dcn/deform_pool.py:176
Method__init__
(self, *args, **kwargs)
mmdet/ops/dcn/deform_conv.py:261
Method__init__
(self, in_channels, out_channels, kernel_size,
mmdet/ops/dcn/deform_conv.py:313
Method__init__
(self, *args, **kwargs)
mmdet/ops/dcn/deform_conv.py:379
Method__init__
(self, in_channels, out_channels, kernel_size,
mmdet/ops/masked_conv/masked_conv.py:71
Method__init__
(self, name)
mmdet/utils/registry.py:9
Method__init__
(self, num, pos_fraction, context, neg_pos
mmdet/core/bbox/samplers/ohem_sampler.py:15
Method__init__
(self, num, pos_fraction, neg_pos_ub=-1, a
mmdet/core/bbox/samplers/base_sampler.py:10
Method__init__
(self, **kwargs)
mmdet/core/bbox/samplers/pseudo_sampler.py:9
Method__init__
(self, pos_sampler, neg_sampler, **kwargs)
mmdet/core/bbox/samplers/combined_sampler.py:7
Method__init__
(self, num, pos_fraction, floor_thr=-1, fl
mmdet/core/bbox/samplers/iou_balanced_neg_sampler.py:27
Method__init__
(self, pos_inds, neg_inds, bboxes, gt_bboxes, assign_result, gt_flags)
mmdet/core/bbox/samplers/sampling_result.py:24
Method__init__
(self, num, pos_fraction, neg_pos_ub=-1, a
mmdet/core/bbox/samplers/random_sampler.py:9
Method__init__
(self, topk)
mmdet/core/bbox/assigners/atss_assigner.py:21
Method__init__
(self, pos_iou_thr, neg_iou_thr, min_pos_iou=.0,
mmdet/core/bbox/assigners/approx_max_iou_assigner.py:35
Method__init__
(self, num_gts, gt_inds, max_overlaps, labels=None)
mmdet/core/bbox/assigners/assign_result.py:43
Method__init__
(self, scale=4, pos_num=3)
mmdet/core/bbox/assigners/point_assigner.py:18
Method__init__
(self, pos_iou_thr, neg_iou_thr, min_pos_iou=.0,
mmdet/core/bbox/assigners/max_iou_assigner.py:36
Method__init__
(self, grad_clip=None, coalesce=True, bucket_size_mb=-1)
mmdet/core/utils/dist_utils.py:46
Method__init__
(self, base_size, scales, ratios, scale_major=True, ctr=None)
mmdet/core/anchor/anchor_generator.py:17
Method__init__
(self, grad_clip=None, coalesce=True, bucket_size_mb=-1,
mmdet/core/fp16/hooks.py:27
Method__init__
(self, dataset, interval=1, proposal_nums=(100, 300, 1000),
mmdet/core/evaluation/eval_hooks.py:100
Method__init__
(self, min_size=None, **kwargs)
mmdet/datasets/xml_style.py:14
Method__init__
(self, ann_file, pipeline, data_root=None,
mmdet/datasets/custom.py:36
Method__init__
(self, **kwargs)
mmdet/datasets/wider_face.py:19
Method__init__
(self, datasets)
mmdet/datasets/dataset_wrappers.py:18
Method__init__
(self, dataset, times)
mmdet/datasets/dataset_wrappers.py:42
Method__init__
(self, **kwargs)
mmdet/datasets/voc.py:13
Method__init__
(self, img_scale=None, multiscale_mode='range', ratio_range
mmdet/datasets/pipelines/transforms.py:49
Method__init__
(self, flip_ratio=None, direction='horizontal')
mmdet/datasets/pipelines/transforms.py:202
Method__init__
(self, size=None, size_divisor=None, pad_val=0)
mmdet/datasets/pipelines/transforms.py:277
Method__init__
(self, mean, std, to_rgb=True)
mmdet/datasets/pipelines/transforms.py:336
Method__init__
(self, crop_size)
mmdet/datasets/pipelines/transforms.py:363
Method__init__
(self, scale_factor=1)
mmdet/datasets/pipelines/transforms.py:430
Method__init__
(self, brightness_delta=32, contrast_range=(0.5, 1.5), satu
mmdet/datasets/pipelines/transforms.py:467
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