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Functions482 in github.com/Gus-Guo/AugFPN

⨍ Functions 482◇ Types & classes 90
↓ 1 callersMethodsimple_test
(self, img, img_meta, rescale=False)
mmdet/models/detectors/rpn.py:57
↓ 1 callersFunctionsingle_test
(model, data_loader, show=False)
tools/test.py:14
↓ 1 callersFunctionsingle_test
(model, data_loader, show=False)
tools/slurm_test.py:15
↓ 1 callersFunctionsmooth_l1_loss
(pred, target, beta=1.0, reduction='mean')
mmdet/core/loss/losses.py:80
↓ 1 callersFunctiontrain_detector
(model, dataset, cfg, distributed=False,
mmdet/apis/train.py:46
↓ 1 callersMethodvalid_flags
(self, featmap_size, valid_size, device='cuda')
mmdet/core/anchor/anchor_generator.py:72
↓ 1 callersFunctionvoc_classes
()
mmdet/core/evaluation/class_names.py:4
↓ 1 callersFunctionvoc_eval
(result_file, dataset, iou_thr=0.5)
tools/voc_eval.py:10
↓ 1 callersFunctionwrite_version_py
()
setup.py:63
FunctionPYBIND11_MODULE
mmdet/ops/roi_align/src/roi_align_cuda.cpp:82
FunctionPYBIND11_MODULE
mmdet/ops/roi_pool/src/roi_pool_cuda.cpp:83
FunctionPYBIND11_MODULE
mmdet/ops/dcn/src/deform_pool_cuda.cpp:81
FunctionPYBIND11_MODULE
mmdet/ops/dcn/src/deform_conv_cuda.cpp:681
Method__call__
(self, img, scale, flip=False, keep_ratio=True)
mmdet/datasets/transforms.py:28
Method__call__
(self, bboxes, img_shape, scale_factor, flip=False)
mmdet/datasets/transforms.py:75
Method__call__
(self, masks, pad_shape, scale_factor, flip=False)
mmdet/datasets/transforms.py:98
Method__call__
(self, *args)
mmdet/datasets/transforms.py:117
Method__call__
(self, img, boxes, labels)
mmdet/datasets/extra_aug.py:20
Method__call__
(self, img, boxes, labels)
mmdet/datasets/extra_aug.py:76
Method__call__
(self, img, boxes, labels)
mmdet/datasets/extra_aug.py:101
Method__call__
(self, img, boxes, labels)
mmdet/datasets/extra_aug.py:161
Method__getitem__
(self, idx)
mmdet/datasets/repeat_dataset.py:15
Method__getitem__
(self, idx)
mmdet/datasets/custom.py:155
Method__init__
(self, out_size, spatial_scale, sample_num=0)
mmdet/ops/roi_align/modules/roi_align.py:7
Method__init__
(self, out_size, spatial_scale)
mmdet/ops/roi_pool/modules/roi_pool.py:7
Method__init__
(self, spatial_scale, out_size, out_channels,
mmdet/ops/dcn/modules/deform_pool.py:38
Method__init__
(self, spatial_scale, out_size, out_channels,
mmdet/ops/dcn/modules/deform_pool.py:91
Method__init__
(self, in_channels, out_channels, kernel_size,
mmdet/ops/dcn/modules/deform_conv.py:61
Method__init__
(self, in_channels, out_channels, kernel_size,
mmdet/ops/dcn/modules/deform_conv.py:108
Method__init__
(self, num, pos_fraction, context, neg_pos
mmdet/core/bbox/samplers/ohem_sampler.py:9
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, hard_thr=0.1, ha
mmdet/core/bbox/samplers/iou_balanced_neg_sampler.py:9
Method__init__
(self, pos_inds, neg_inds, bboxes, gt_bboxes, assign_result, gt_flags)
mmdet/core/bbox/samplers/sampling_result.py:6
Method__init__
(self, num, pos_fraction, neg_pos_ub=-1, a
mmdet/core/bbox/samplers/random_sampler.py:9
Method__init__
(self, num_gts, gt_inds, max_overlaps, labels=None)
mmdet/core/bbox/assigners/assign_result.py:6
Method__init__
(self, pos_iou_thr, neg_iou_thr, min_pos_iou=.0,
mmdet/core/bbox/assigners/max_iou_assigner.py:33
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:6
Method__init__
(self, dataset, proposal_nums=(100, 300, 1000), iou_thrs=np
mmdet/core/evaluation/eval_hooks.py:146
Method__init__
(self, **kwargs)
mmdet/datasets/xml_style.py:12
Method__init__
(self, dataset, times)
mmdet/datasets/repeat_dataset.py:6
Method__init__
(self, mean=(0, 0, 0), std=(1, 1, 1), to_rgb=True,
mmdet/datasets/transforms.py:18
Method__init__
(self, max_num_gts=None)
mmdet/datasets/transforms.py:72
Method__init__
(self)
mmdet/datasets/transforms.py:114
Method__init__
(self, ann_file, img_prefix, img_scale, im
mmdet/datasets/custom.py:38
Method__init__
(self, datasets)
mmdet/datasets/concat_dataset.py:15
Method__init__
(self, **kwargs)
mmdet/datasets/voc.py:11
Method__init__
(self, brightness_delta=32, contrast_range=(0.5, 1.5), satu
mmdet/datasets/extra_aug.py:10
Method__init__
(self, mean=(0, 0, 0), to_rgb=True, ratio_range=(1, 4))
mmdet/datasets/extra_aug.py:69
Method__init__
(self, min_ious=(0.1, 0.3, 0.5, 0.7, 0.9), min_crop_size=0.3)
mmdet/datasets/extra_aug.py:94
Method__init__
(self, photo_metric_distortion=None, expand=None, random_cr
mmdet/datasets/extra_aug.py:148
Method__init__
(self, dataset, samples_per_gpu=1)
mmdet/datasets/loader/sampler.py:13
Method__init__
(self, dataset, samples_per_gpu=1, num_replicas=None,
mmdet/datasets/loader/sampler.py:66
Method__init__
(self, name)
mmdet/models/registry.py:6
Method__init__
(self, in_channels, out_channels, num_outs,
mmdet/models/necks/fpn.py:12
Method__init__
(self, in_channels, out_channels, num_outs,
mmdet/models/necks/high_fpn.py:12
Method__init__
(self, in_channels, out_channels, num_outs,
mmdet/models/necks/high_fpn_retinanet.py:12
Method__init__
(self, n_dims, scale=20., eps=1e-10)
mmdet/models/backbones/ssd_vgg.py:121
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:14
Method__init__
(self, inplanes, planes, stride=1, dilatio
mmdet/models/backbones/resnet.py:29
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:86
Method__init__
(self, in_channels, out_channels, kernel_size,
mmdet/models/utils/conv_module.py:11
Method__init__
(self, scale=1.0)
mmdet/models/utils/scale.py:7
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdet/models/detectors/fcos.py:9
Method__init__
(self, backbone, neck, bbox_roi_extractor,
mmdet/models/detectors/fast_rcnn.py:8
Method__init__
(self, backbone, neck, rpn_head, bbox_roi_
mmdet/models/detectors/faster_rcnn.py:8
Method__init__
(self, backbone, neck=None, rpn_head=None,
mmdet/models/detectors/two_stage.py:15
Method__init__
(self, backbone, neck=None, rpn_head=None,
mmdet/models/detectors/two_stage_old.py:15
Method__init__
(self, backbone, neck, rpn_head, bbox_roi_
mmdet/models/detectors/mask_rcnn.py:8
Method__init__
(self)
mmdet/models/detectors/base.py:17
Method__init__
(self, num_stages, backbone, neck=None, rp
mmdet/models/detectors/cascade_rcnn.py:17
Method__init__
(self, backbone, neck=None, bbox_head=None,
mmdet/models/detectors/single_stage_old.py:12
Method__init__
(self, backbone, neck, bbox_head, train_cf
mmdet/models/detectors/retinanet.py:8
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:12
Method__init__
(self, roi_layer, out_channels, featmap_strides,
mmdet/models/roi_extractors/all_level_auxiliary.py:21
Method__init__
(self, roi_layer, out_channels, featmap_strides,
mmdet/models/roi_extractors/soft_roi_selection.py:25
Method__init__
(self, roi_layer, out_channels, featmap_strides,
mmdet/models/roi_extractors/single_level.py:24
Method__init__
(self, num_convs=4, roi_feat_size=14, in_channels=256,
mmdet/models/mask_heads/fcn_mask_head.py:15
Method__init__
(self, with_avg_pool=False, with_cls=True, with_reg=True,
mmdet/models/bbox_heads/bbox_head.py:15
Method__init__
(self, with_avg_pool=False, with_cls=True, with_reg=True,
mmdet/models/bbox_heads/bbox_head_auxiliary.py:15
Method__init__
(self, num_fcs=2, fc_out_channels=1024, *args, **kwargs)
mmdet/models/bbox_heads/convfc_bbox_head_auxiliary.py:173
Method__init__
(self, num_fcs=2, fc_out_channels=1024, *args, **kwargs)
mmdet/models/bbox_heads/convfc_bbox_head.py:173
Method__init__
(self, num_classes, in_channels, stacked_convs=4,
mmdet/models/anchor_heads/retina_head.py:13
Method__init__
(self, input_size=300, num_classes=81, in_channels=(512, 10
mmdet/models/anchor_heads/ssd_head.py:16
Method__init__
(self, num_classes, in_channels, feat_channels=256,
mmdet/models/anchor_heads/anchor_head.py:33
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:16
Method__iter__
(self)
mmdet/datasets/loader/sampler.py:24
Method__iter__
(self)
mmdet/datasets/loader/sampler.py:92
Method__len__
(self)
mmdet/datasets/repeat_dataset.py:18
Method__len__
(self)
mmdet/datasets/custom.py:119
Method__len__
(self)
mmdet/datasets/loader/sampler.py:47
Method__len__
(self)
mmdet/datasets/loader/sampler.py:128
Function_compile
(obj, src, ext, cc_args, extra_postargs, pp_opts)
mmdet/ops/nms/setup.py:44
Function_data_func
(data, device_id)
tools/test.py:34
Function_data_func
(data, device_id)
tools/slurm_test.py:35
Method_filter_imgs
Filter images too small or without ground truths.
mmdet/datasets/coco.py:45
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