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github.com/HRNet/HRNet-MaskRCNN-Benchmark
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Functions
431 in github.com/HRNet/HRNet-MaskRCNN-Benchmark
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Functions
431
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Types & classes
84
Method
__init__
(self, transforms)
maskrcnn_benchmark/data/transforms/transforms.py:11
Method
__init__
(self, min_size, max_size, align_factor=0)
maskrcnn_benchmark/data/transforms/transforms.py:29
Method
__init__
(self, prob=0.5)
maskrcnn_benchmark/data/transforms/transforms.py:86
Method
__init__
(self, mean, std, to_bgr255=True)
maskrcnn_benchmark/data/transforms/transforms.py:102
Method
__init__
(self, image_lists, transforms=None)
maskrcnn_benchmark/data/datasets/list_dataset.py:12
Method
__init__
(self, data_dir, split, use_difficult=False, transforms=None)
maskrcnn_benchmark/data/datasets/voc.py:43
Method
__init__
( self, ann_file, root, remove_images_without_annotations, transforms=None )
maskrcnn_benchmark/data/datasets/coco.py:15
Method
__init__
(self, *iou_types)
maskrcnn_benchmark/data/datasets/evaluation/coco/coco_eval.py:308
Method
__init__
Arguments: tensors (tensor) image_sizes (list[tuple[int, int]])
maskrcnn_benchmark/structures/image_list.py:15
Method
__init__
(self, masks, size, mode)
maskrcnn_benchmark/structures/segmentation_mask.py:18
Method
__init__
(self, polygons, size, mode)
maskrcnn_benchmark/structures/segmentation_mask.py:58
Method
__init__
Arguments: polygons: a list of list of lists of numbers. The first level of the list correspond to individual ins
maskrcnn_benchmark/structures/segmentation_mask.py:151
Method
__init__
(self, bbox, image_size, mode="xyxy")
maskrcnn_benchmark/structures/bounding_box.py:19
Method
__init__
(self, output_size, spatial_scale, sampling_ratio)
maskrcnn_benchmark/layers/roi_align.py:59
Method
__init__
(self, n)
maskrcnn_benchmark/layers/batch_norm.py:12
Method
__init__
(self, output_size, spatial_scale)
maskrcnn_benchmark/layers/roi_pool.py:50
Method
__init__
(self, init_dict=None, key_list=None)
maskrcnn_benchmark/config/yacs.py:74
Method
__init__
(self, indices)
tests/test_data_samplers.py:16
Method
__init__
( self, cfg, confidence_threshold=0.7, show_mask_heatmaps=False, masks
demo/predictor.py:98
Method
__iter__
(self)
maskrcnn_benchmark/modeling/rpn/anchor_generator.py:30
Method
__iter__
(self)
maskrcnn_benchmark/data/samplers/distributed.py:42
Method
__iter__
(self)
maskrcnn_benchmark/data/samplers/iteration_based_batch_sampler.py:16
Method
__iter__
(self)
maskrcnn_benchmark/data/samplers/grouped_batch_sampler.py:102
Method
__iter__
(self)
maskrcnn_benchmark/structures/segmentation_mask.py:206
Method
__iter__
(self)
tests/test_data_samplers.py:19
Method
__len__
(self)
maskrcnn_benchmark/modeling/rpn/anchor_generator.py:27
Method
__len__
(self)
maskrcnn_benchmark/data/samplers/distributed.py:62
Method
__len__
(self)
maskrcnn_benchmark/data/samplers/iteration_based_batch_sampler.py:30
Method
__len__
(self)
maskrcnn_benchmark/data/samplers/grouped_batch_sampler.py:111
Method
__len__
(self)
maskrcnn_benchmark/data/datasets/list_dataset.py:28
Method
__len__
(self)
maskrcnn_benchmark/data/datasets/voc.py:73
Method
__len__
(self)
maskrcnn_benchmark/structures/bounding_box.py:211
Method
__len__
(self)
tests/test_data_samplers.py:22
Method
__repr__
(self)
maskrcnn_benchmark/data/transforms/transforms.py:19
Method
__repr__
(self)
maskrcnn_benchmark/data/datasets/coco.py:87
Method
__repr__
(self)
maskrcnn_benchmark/data/datasets/evaluation/coco/coco_eval.py:331
Method
__repr__
(self)
maskrcnn_benchmark/structures/segmentation_mask.py:137
Method
__repr__
(self)
maskrcnn_benchmark/structures/segmentation_mask.py:209
Method
__repr__
(self)
maskrcnn_benchmark/structures/bounding_box.py:246
Method
__repr__
(self)
maskrcnn_benchmark/layers/roi_align.py:70
Method
__repr__
(self)
maskrcnn_benchmark/layers/roi_pool.py:58
Method
__repr__
(self)
maskrcnn_benchmark/config/yacs.py:159
Method
__setattr__
(self, name, value)
maskrcnn_benchmark/config/yacs.py:117
Method
__str__
(self)
maskrcnn_benchmark/utils/metric_logger.py:57
Method
__str__
(self)
maskrcnn_benchmark/config/yacs.py:138
Method
_indent
(s_, num_spaces)
maskrcnn_benchmark/config/yacs.py:139
Method
_load_file
(self, f)
maskrcnn_benchmark/utils/checkpoint.py:116
Method
avg
(self)
maskrcnn_benchmark/utils/metric_logger.py:31
Method
backward
(ctx, grad)
maskrcnn_benchmark/layers/misc.py:24
Method
backward
(ctx, grad_output)
maskrcnn_benchmark/layers/roi_align.py:31
Function
build_hrnet_hr_backbone
(cfg)
maskrcnn_benchmark/modeling/backbone/backbone.py:22
Function
build_msnet_backbone
(cfg)
maskrcnn_benchmark/modeling/backbone/backbone.py:15
Function
build_resnet_backbone
(cfg)
maskrcnn_benchmark/modeling/backbone/backbone.py:30
Function
build_resnet_fpn_backbone
(cfg)
maskrcnn_benchmark/modeling/backbone/backbone.py:38
Method
convert
(self, mode)
maskrcnn_benchmark/structures/segmentation_mask.py:125
Method
crop
(self, box)
maskrcnn_benchmark/structures/segmentation_mask.py:92
Method
crop
(self, box)
maskrcnn_benchmark/structures/segmentation_mask.py:176
Method
forward
Arguments: x (list[Tensor]): feature maps for each level boxes (list[BoxList]): boxes to be used to perform the pooli
maskrcnn_benchmark/modeling/poolers.py:91
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/hrnet.py:33
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/hrnet.py:76
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/hrnet.py:198
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/hrnet.py:350
Method
forward
Arguments: x (list[Tensor]): feature maps for each feature level. Returns: results (tuple[Tensor]): feature m
maskrcnn_benchmark/modeling/backbone/fpn.py:43
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/fpn.py:73
Method
forward
(self, inputs)
maskrcnn_benchmark/modeling/backbone/hrfpn.py:45
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/resnet.py:115
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/resnet.py:166
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/resnet.py:252
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/resnet.py:286
Method
forward
(self, features, proposals, targets=None)
maskrcnn_benchmark/modeling/roi_heads/roi_heads.py:20
Method
forward
Arguments: features (list[Tensor]): feature-maps from possibly several levels proposals (list[BoxList]): proposal box
maskrcnn_benchmark/modeling/roi_heads/box_head/box_head.py:23
Method
forward
(self, x)
maskrcnn_benchmark/modeling/roi_heads/box_head/roi_box_predictors.py:25
Method
forward
(self, x)
maskrcnn_benchmark/modeling/roi_heads/box_head/roi_box_predictors.py:47
Method
forward
(self, x)
maskrcnn_benchmark/modeling/roi_heads/box_head/roi_box_predictors.py:68
Method
forward
Arguments: x (tuple[tensor, tensor]): x contains the class logits and the box_regression from the model.
maskrcnn_benchmark/modeling/roi_heads/box_head/inference.py:37
Method
forward
(self, x, proposals)
maskrcnn_benchmark/modeling/roi_heads/box_head/roi_box_feature_extractors.py:38
Method
forward
(self, x, proposals)
maskrcnn_benchmark/modeling/roi_heads/box_head/roi_box_feature_extractors.py:73
Method
forward
(self, x, proposals)
maskrcnn_benchmark/modeling/roi_heads/box_head/roi_box_feature_extractors.py:112
Method
forward
(self, x, proposals)
maskrcnn_benchmark/modeling/roi_heads/mask_head/roi_mask_feature_extractors.py:50
Method
forward
Arguments: features (list[Tensor]): feature-maps from possibly several levels proposals (list[BoxList]): proposal box
maskrcnn_benchmark/modeling/roi_heads/mask_head/mask_head.py:45
Method
forward
(self, x, boxes)
maskrcnn_benchmark/modeling/roi_heads/mask_head/inference.py:71
Method
forward
(self, x)
maskrcnn_benchmark/modeling/roi_heads/mask_head/roi_mask_predictors.py:34
Method
forward
(self, image_list, feature_maps)
maskrcnn_benchmark/modeling/rpn/anchor_generator.py:107
Method
forward
Arguments: anchors: list[list[BoxList]] objectness: list[tensor] box_regression: list[tensor] Re
maskrcnn_benchmark/modeling/rpn/inference.py:124
Method
forward
(self, x)
maskrcnn_benchmark/modeling/rpn/rpn.py:38
Method
forward
(self, x)
maskrcnn_benchmark/modeling/rpn/rpn.py:74
Method
forward
Arguments: images (ImageList): images for which we want to compute the predictions features (list[Tensor]): features
maskrcnn_benchmark/modeling/rpn/rpn.py:116
Method
forward
Arguments: images (list[Tensor] or ImageList): images to be processed targets (list[BoxList]): ground-truth boxes pre
maskrcnn_benchmark/modeling/detector/generalized_rcnn.py:33
Method
forward
(ctx, x, new_shape)
maskrcnn_benchmark/layers/misc.py:19
Method
forward
(self, x)
maskrcnn_benchmark/layers/misc.py:47
Method
forward
(ctx, input, roi, output_size, spatial_scale, sampling_ratio)
maskrcnn_benchmark/layers/roi_align.py:13
Method
forward
(self, input, rois)
maskrcnn_benchmark/layers/roi_align.py:65
Method
forward
(self, x)
maskrcnn_benchmark/layers/batch_norm.py:20
Method
forward
(ctx, input, roi, output_size, spatial_scale)
maskrcnn_benchmark/layers/roi_pool.py:13
Method
forward
(self, input, rois)
maskrcnn_benchmark/layers/roi_pool.py:55
Method
get
(name)
maskrcnn_benchmark/config/paths_catalog.py:99
Function
getLabelID
(self, instID)
tools/cityscapes/convert_cityscapes_to_coco.py:94
Method
get_img_info
Return the image dimensions for the image, without loading and pre-processing it
maskrcnn_benchmark/data/datasets/list_dataset.py:31
Method
get_img_info
(self, idx)
maskrcnn_benchmark/data/datasets/concat_dataset.py:21
Method
get_img_info
(self, index)
maskrcnn_benchmark/data/datasets/voc.py:126
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