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github.com/amirassov/kaggle-imaterialist
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Functions
538 in github.com/amirassov/kaggle-imaterialist
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Functions
538
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Types & classes
90
Method
__init__
(self, **kwargs)
mmdetection/mmdet/datasets/voc.py:11
Method
__init__
(self, **kwargs)
mmdetection/mmdet/datasets/extra_aug.py:10
Method
__init__
(self, dataset, num_replicas=None, rank=None, shuffle=True)
mmdetection/mmdet/datasets/loader/sampler.py:14
Method
__init__
(self, dataset, samples_per_gpu=1, num_replicas=None,
mmdetection/mmdet/datasets/loader/sampler.py:93
Method
__init__
(self, name)
mmdetection/mmdet/models/registry.py:6
Method
__init__
(self, in_channels, out_channels, num_outs,
mmdetection/mmdet/models/necks/fpn.py:12
Method
__init__
(self, n_dims, scale=20., eps=1e-10)
mmdetection/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
mmdetection/mmdet/models/backbones/resnext.py:14
Method
__init__
(self, inplanes, planes, stride=1, dilatio
mmdetection/mmdet/models/backbones/resnet.py:18
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
mmdetection/mmdet/models/backbones/resnet.py:90
Method
__init__
(self, in_channels, out_channels, kernel_size,
mmdetection/mmdet/models/utils/conv_module.py:67
Method
__init__
(self, in_channels, out_channels, kernel_size,
mmdetection/mmdet/models/utils/conv_ws.py:23
Method
__init__
(self, scale=1.0)
mmdetection/mmdet/models/utils/scale.py:7
Method
__init__
(self, backbone, neck, bbox_head, train_cf
mmdetection/mmdet/models/detectors/fcos.py:8
Method
__init__
(self, backbone, bbox_roi_extractor, bbox_head,
mmdetection/mmdet/models/detectors/fast_rcnn.py:8
Method
__init__
(self, backbone, rpn_head, bbox_roi_extractor,
mmdetection/mmdet/models/detectors/faster_rcnn.py:8
Method
__init__
(self, num_stages, backbone, semantic_roi_extractor=None,
mmdetection/mmdet/models/detectors/htc.py:16
Method
__init__
(self, models)
mmdetection/mmdet/models/detectors/ensemble_htc.py:8
Method
__init__
(self, backbone, neck=None, shared_head=None,
mmdetection/mmdet/models/detectors/two_stage.py:15
Method
__init__
(self, backbone, rpn_head, bbox_roi_extractor,
mmdetection/mmdet/models/detectors/mask_rcnn.py:8
Method
__init__
(self)
mmdetection/mmdet/models/detectors/base.py:17
Method
__init__
(self, num_stages, backbone, neck=None, sh
mmdetection/mmdet/models/detectors/cascade_rcnn.py:17
Method
__init__
(self, backbone, neck, bbox_head, train_cf
mmdetection/mmdet/models/detectors/retinanet.py:8
Method
__init__
(self, backbone, neck, rpn_head, train_cfg
mmdetection/mmdet/models/detectors/rpn.py:13
Method
__init__
(self, backbone, neck=None, bbox_head=None,
mmdetection/mmdet/models/detectors/single_stage.py:12
Method
__init__
(self, roi_layer, out_channels, featmap_strides,
mmdetection/mmdet/models/roi_extractors/single_level.py:24
Method
__init__
(self, num_convs=4, roi_feat_size=14, in_channels=256,
mmdetection/mmdet/models/mask_heads/fcn_mask_head.py:15
Method
__init__
(self, num_ins, fusion_level, num_convs=4,
mmdetection/mmdet/models/mask_heads/fused_semantic_head.py:24
Method
__init__
(self, *args, **kwargs)
mmdetection/mmdet/models/mask_heads/htc_mask_head.py:9
Method
__init__
(self, with_avg_pool=False, with_cls=True, with_reg=True,
mmdetection/mmdet/models/bbox_heads/bbox_head.py:15
Method
__init__
(self, num_fcs=2, fc_out_channels=1024, *args, **kwargs)
mmdetection/mmdet/models/bbox_heads/convfc_bbox_head.py:174
Method
__init__
(self, depth, stage=3, stride=2, dilation=
mmdetection/mmdet/models/shared_heads/res_layer.py:14
Method
__init__
(self, num_classes, in_channels, stacked_convs=4,
mmdetection/mmdet/models/anchor_heads/retina_head.py:13
Method
__init__
(self, input_size=300, num_classes=81, in_channels=(512, 10
mmdetection/mmdet/models/anchor_heads/ssd_head.py:16
Method
__init__
(self, num_classes, in_channels, feat_channels=256,
mmdetection/mmdet/models/anchor_heads/anchor_head.py:33
Method
__init__
(self, in_channels, **kwargs)
mmdetection/mmdet/models/anchor_heads/rpn_head.py:15
Method
__init__
(self, num_classes, in_channels, feat_channels=256,
mmdetection/mmdet/models/anchor_heads/fcos_head.py:17
Method
__iter__
(self)
mmdetection/mmdet/datasets/loader/sampler.py:18
Method
__iter__
(self)
mmdetection/mmdet/datasets/loader/sampler.py:51
Method
__iter__
(self)
mmdetection/mmdet/datasets/loader/sampler.py:119
Method
__len__
(self)
mmdetection/mmdet/datasets/repeat_dataset.py:18
Method
__len__
(self)
mmdetection/mmdet/datasets/custom.py:130
Method
__len__
(self)
mmdetection/mmdet/datasets/loader/sampler.py:74
Method
__len__
(self)
mmdetection/mmdet/datasets/loader/sampler.py:155
Method
__repr__
(self)
mmdetection/mmdet/ops/sigmoid_focal_loss/modules/sigmoid_focal_loss.py:18
Function
_compile
(obj, src, ext, cc_args, extra_postargs, pp_opts)
mmdetection/mmdet/ops/nms/setup.py:42
Method
_filter_imgs
Filter images too small or without ground truths.
mmdetection/mmdet/datasets/coco.py:45
Method
_init_layers
(self)
mmdetection/mmdet/models/anchor_heads/retina_head.py:38
Method
_init_layers
(self)
mmdetection/mmdet/models/anchor_heads/rpn_head.py:18
Method
_inner_forward
(x)
mmdetection/mmdet/models/backbones/resnet.py:204
Method
_sample_neg
(self, assign_result, num_expected, bboxes=None,
mmdetection/mmdet/core/bbox/samplers/ohem_sampler.py:59
Method
_sample_neg
(self, **kwargs)
mmdetection/mmdet/core/bbox/samplers/pseudo_sampler.py:15
Method
_sample_neg
(self, **kwargs)
mmdetection/mmdet/core/bbox/samplers/combined_sampler.py:15
Method
_sample_neg
(self, assign_result, num_expected, **kwargs)
mmdetection/mmdet/core/bbox/samplers/iou_balanced_neg_sampler.py:22
Method
_sample_neg
Randomly sample some negative samples.
mmdetection/mmdet/core/bbox/samplers/random_sampler.py:45
Method
_sample_pos
(self, assign_result, num_expected, bboxes=None,
mmdetection/mmdet/core/bbox/samplers/ohem_sampler.py:43
Method
_sample_pos
(self, **kwargs)
mmdetection/mmdet/core/bbox/samplers/pseudo_sampler.py:12
Method
_sample_pos
(self, **kwargs)
mmdetection/mmdet/core/bbox/samplers/combined_sampler.py:12
Method
_sample_pos
Randomly sample some positive samples.
mmdetection/mmdet/core/bbox/samplers/random_sampler.py:35
Method
_sample_pos
(self, assign_result, num_expected, **kwargs)
mmdetection/mmdet/core/bbox/samplers/instance_balanced_pos_sampler.py:9
Method
after_train_epoch
(self, runner)
mmdetection/mmdet/core/evaluation/eval_hooks.py:32
Method
after_train_iter
(self, runner)
mmdetection/mmdet/core/utils/dist_utils.py:51
Function
anchor_target_single
(flat_anchors, valid_flags, gt_bboxes,
mmdetection/mmdet/core/anchor/anchor_target.py:94
Method
apply_to_bbox
(self, bbox, x_min=0, x_max=0, y_min=0, y_max=0, **params)
mmdetection/mmdet/datasets/transforms.py:190
Method
assign
Assign gt to bboxes. This method assign a gt bbox to every bbox (proposal/anchor), each bbox will be assigned with -1, 0, or a positi
mmdetection/mmdet/core/bbox/assigners/max_iou_assigner.py:47
Method
aug_test
Test with augmentations. If rescale is False, then returned bboxes and masks will fit the scale of imgs[0].
mmdetection/mmdet/models/detectors/htc.py:395
Method
aug_test
Test with augmentations. If rescale is False, then returned bboxes and masks will fit the scale of imgs[0].
mmdetection/mmdet/models/detectors/ensemble_htc.py:21
Method
aug_test
Test with augmentations. If rescale is False, then returned bboxes and masks will fit the scale of imgs[0].
mmdetection/mmdet/models/detectors/two_stage.py:213
Method
aug_test
(self, img, img_meta, proposals=None, rescale=False)
mmdetection/mmdet/models/detectors/cascade_rcnn.py:364
Method
aug_test
(self, imgs, img_metas, rescale=False)
mmdetection/mmdet/models/detectors/single_stage.py:69
Method
backward
(ctx, d_loss)
mmdetection/mmdet/ops/sigmoid_focal_loss/functions/sigmoid_focal_loss.py:31
Method
backward
(ctx, grad_output)
mmdetection/mmdet/ops/roi_align/functions/roi_align.py:39
Method
backward
(ctx, grad_output)
mmdetection/mmdet/ops/dcn/functions/deform_pool.py:50
Method
backward
(ctx, grad_output)
mmdetection/mmdet/ops/dcn/functions/deform_conv.py:55
Method
backward
(ctx, grad_output)
mmdetection/mmdet/ops/dcn/functions/deform_conv.py:146
Function
batch_processor
(model, data, train_mode)
mmdetection/mmdet/apis/train.py:38
Function
bbox_overlaps
Calculate overlap between two set of bboxes. If ``is_aligned`` is ``False``, then calculate the ious between each bbox of bboxes1 and bboxes2
mmdetection/mmdet/core/bbox/geometry.py:4
Function
bbox_target_single
(pos_bboxes, neg_bboxes, pos_gt_bboxes, p
mmdetection/mmdet/core/bbox/bbox_target.py:35
Method
bboxes
(self)
mmdetection/mmdet/core/bbox/samplers/sampling_result.py:23
Function
build_backbone
(cfg)
mmdetection/mmdet/models/builder.py:35
Method
build_extensions
(self)
mmdetection/mmdet/ops/nms/setup.py:62
Function
build_head
(cfg)
mmdetection/mmdet/models/builder.py:51
Function
build_neck
(cfg)
mmdetection/mmdet/models/builder.py:39
Function
build_roi_extractor
(cfg)
mmdetection/mmdet/models/builder.py:43
Function
build_shared_head
(cfg)
mmdetection/mmdet/models/builder.py:47
Function
cal_train_time
(log_dicts, args)
mmdetection/tools/analyze_logs.py:10
Function
coco_classes
()
mmdetection/mmdet/core/evaluation/class_names.py:63
Function
convert
(group: dict, root)
src/create_mmdetection_test.py:21
Function
create_mask
(args)
src/submit.py:41
Function
deform_conv_backward_input_cuda
mmdetection/mmdet/ops/dcn/src/deform_conv_cuda.cpp:260
Function
deform_conv_backward_parameters_cuda
mmdetection/mmdet/ops/dcn/src/deform_conv_cuda.cpp:373
Function
deform_conv_forward_cuda
mmdetection/mmdet/ops/dcn/src/deform_conv_cuda.cpp:151
Function
deform_psroi_pooling_cuda_backward
mmdetection/mmdet/ops/dcn/src/deform_pool_cuda.cpp:54
Function
deform_psroi_pooling_cuda_forward
mmdetection/mmdet/ops/dcn/src/deform_pool_cuda.cpp:30
Function
draw
(args, root, output, metric_threshold, colors, classes)
src/draw.py:70
Method
evaluate
(self, runner, results)
mmdetection/mmdet/core/evaluation/eval_hooks.py:79
Method
evaluate
(self, runner, results)
mmdetection/mmdet/core/evaluation/eval_hooks.py:128
Method
evaluate
(self, runner, results)
mmdetection/mmdet/core/evaluation/eval_hooks.py:140
Function
expand_target
(bbox_targets, bbox_weights, labels, num_classes)
mmdetection/mmdet/core/bbox/bbox_target.py:64
Method
extract_feat
(self, imgs)
mmdetection/mmdet/models/detectors/ensemble_htc.py:18
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