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github.com/chengyangfu/retinamask
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Functions
379 in github.com/chengyangfu/retinamask
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Functions
379
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Types & classes
84
Method
__str__
(self)
maskrcnn_benchmark/utils/metric_logger.py:57
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, d_loss)
maskrcnn_benchmark/layers/sigmoid_focal_loss.py:24
Method
backward
(ctx, grad_output)
maskrcnn_benchmark/layers/roi_align.py:26
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:93
Method
forward
Arguments: x (list[Tensor]): feature maps for each feature level. Returns: results (tuple[Tensor]): feature m
maskrcnn_benchmark/modeling/backbone/fpn.py:65
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/fpn.py:96
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/fpn.py:112
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/resnet.py:114
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/resnet.py:165
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/resnet.py:251
Method
forward
(self, x)
maskrcnn_benchmark/modeling/backbone/resnet.py:285
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
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:36
Method
forward
(self, x, proposals)
maskrcnn_benchmark/modeling/roi_heads/box_head/roi_box_feature_extractors.py:70
Method
forward
(self, x, proposals)
maskrcnn_benchmark/modeling/roi_heads/mask_head/roi_mask_feature_extractors.py:51
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
Arguments: anchors: list[list[BoxList]] box_cls: list[tensor] box_regression: list[tensor] Retur
maskrcnn_benchmark/modeling/rpn/retinanet_infer.py:121
Method
forward
(self, image_list, feature_maps)
maskrcnn_benchmark/modeling/rpn/anchor_generator.py:112
Method
forward
Arguments: anchors: list[list[BoxList]] box_cls: list[tensor] box_regression: list[tensor] Retur
maskrcnn_benchmark/modeling/rpn/retinanet_detail_infer.py:120
Method
forward
(self, x)
maskrcnn_benchmark/modeling/rpn/retinanet.py:88
Method
forward
Arguments: images (ImageList): images for which we want to compute the predictions features (list[Tensor]): features
maskrcnn_benchmark/modeling/rpn/retinanet.py:131
Method
forward
Arguments: anchors: list[list[BoxList]] objectness: list[tensor] box_regression: list[tensor] Re
maskrcnn_benchmark/modeling/rpn/inference.py:123
Method
forward
(self, x)
maskrcnn_benchmark/modeling/rpn/rpn.py:36
Method
forward
Arguments: images (ImageList): images for which we want to compute the predictions features (list[Tensor]): features
maskrcnn_benchmark/modeling/rpn/rpn.py:75
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:37
Method
forward
Arguments: images (list[Tensor] or ImageList): images to be processed targets (list[BoxList]): ground-truth boxes pre
maskrcnn_benchmark/modeling/detector/retinanet.py:39
Method
forward
(ctx, x, new_shape)
maskrcnn_benchmark/layers/misc.py:19
Method
forward
(self, x)
maskrcnn_benchmark/layers/misc.py:47
Method
forward
(self, input, target, size_average=True)
maskrcnn_benchmark/layers/smooth_l1_loss.py:10
Method
forward
(self, inputs, target, size_average=True)
maskrcnn_benchmark/layers/adjust_smooth_l1_loss.py:20
Method
forward
(ctx, logits, targets, num_classes, gamma, alpha)
maskrcnn_benchmark/layers/sigmoid_focal_loss.py:11
Method
forward
(self, logits, targets)
maskrcnn_benchmark/layers/sigmoid_focal_loss.py:46
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:57
Method
forward
(self, x)
maskrcnn_benchmark/layers/batch_norm.py:19
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:43
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_lr
(self)
maskrcnn_benchmark/solver/lr_scheduler.py:39
Method
global_avg
(self)
maskrcnn_benchmark/utils/metric_logger.py:36
Function
interpolate
( input, size=None, scale_factor=None, mode="nearest", align_corners=None )
maskrcnn_benchmark/layers/misc.py:67
Method
median
(self)
maskrcnn_benchmark/utils/metric_logger.py:26
Function
nms
maskrcnn_benchmark/csrc/nms.h:10
Function
nms_cpu_kernel
maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:6
Function
register_stage_spec
(stage_spec_name, stage_spec)
maskrcnn_benchmark/modeling/backbone/resnet.py:313
Function
register_stem_module
(module_name, module)
maskrcnn_benchmark/modeling/backbone/resnet.py:309
Function
register_transformation_module
(module_name, module)
maskrcnn_benchmark/modeling/backbone/resnet.py:305
Method
resize
(self, size, *args, **kwargs)
maskrcnn_benchmark/structures/segmentation_mask.py:108
Method
resize
(self, size, *args, **kwargs)
maskrcnn_benchmark/structures/segmentation_mask.py:183
Method
test_complex_model_loaded
(self)
tests/checkpoint.py:103
Method
test_from_last_checkpoint_model
(self)
tests/checkpoint.py:36
Method
test_from_name_file_model
(self)
tests/checkpoint.py:71
Method
test_len
(self)
tests/test_data_samplers.py:111
Method
test_number_of_iters_and_elements
(self)
tests/test_data_samplers.py:131
Method
test_permute_subset_sampler
(self)
tests/test_data_samplers.py:85
Method
test_permute_subset_sampler_drop_uneven
(self)
tests/test_data_samplers.py:98
Method
test_respect_order
(self)
tests/test_data_samplers.py:40
Method
test_respect_order_drop_uneven
(self)
tests/test_data_samplers.py:59
Method
test_respect_order_simple
(self)
tests/test_data_samplers.py:27
Method
test_subset_sampler
(self)
tests/test_data_samplers.py:72
Method
to
(self, *args, **kwargs)
maskrcnn_benchmark/structures/segmentation_mask.py:189
Method
to
(self, device)
maskrcnn_benchmark/structures/bounding_box.py:197
Method
transpose
(self, method)
maskrcnn_benchmark/structures/segmentation_mask.py:69
Method
transpose
(self, method)
maskrcnn_benchmark/structures/segmentation_mask.py:165
Method
update
(self, value)
maskrcnn_benchmark/utils/metric_logger.py:19
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