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github.com/TonyXuQAQ/RNGDetPlusPlus
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Types & classes
166 in github.com/TonyXuQAQ/RNGDetPlusPlus
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Functions
1,075
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Types & classes
166
↓ 15 callers
Class
Point
cityscale/lib/geom.py:4
↓ 15 callers
Class
Point
spacenet/lib/geom.py:4
↓ 6 callers
Class
EdgePos
cityscale/lib/graph.py:80
↓ 6 callers
Class
EdgePos
spacenet/lib/graph.py:80
↓ 5 callers
Class
Graph
cityscale/lib/graph.py:156
↓ 5 callers
Class
Graph
spacenet/lib/graph.py:156
↓ 5 callers
Class
Rectangle
cityscale/lib/geom.py:171
↓ 5 callers
Class
Rectangle
spacenet/lib/geom.py:171
↓ 4 callers
Class
NestedTensor
cityscale/models/util/misc.py:284
↓ 4 callers
Class
NestedTensor
spacenet/models/util/misc.py:284
↓ 4 callers
Class
RNGDetNet
cityscale/dataset.py:8
↓ 4 callers
Class
RNGDetNet
spacenet/dataset.py:8
↓ 3 callers
Class
Edge
cityscale/prepare_dataset/create_label.py:92
↓ 3 callers
Class
Edge
spacenet/prepare_dataset/create_label.py:132
↓ 3 callers
Class
FPoint
cityscale/lib/geom.py:59
↓ 3 callers
Class
FPoint
spacenet/lib/geom.py:59
↓ 3 callers
Class
NestedTensor
cityscale/utils/misc.py:283
↓ 3 callers
Class
NestedTensor
spacenet/utils/misc.py:283
↓ 3 callers
Class
Path
cityscale/utils/model_utils.py:14
↓ 3 callers
Class
Path
spacenet/utils/model_utils.py:14
↓ 3 callers
Class
RoadSegment
cityscale/lib/graph.py:421
↓ 3 callers
Class
RoadSegment
spacenet/lib/graph.py:421
↓ 2 callers
Class
Agent
cityscale/agent.py:22
↓ 2 callers
Class
Agent
spacenet/agent.py:22
↓ 2 callers
Class
Edge
cityscale/main_val.py:23
↓ 2 callers
Class
Edge
cityscale/main_test.py:27
↓ 2 callers
Class
Edge
cityscale/lib/graph.py:40
↓ 2 callers
Class
Edge
spacenet/main_val.py:23
↓ 2 callers
Class
Edge
spacenet/main_test.py:27
↓ 2 callers
Class
Edge
spacenet/lib/graph.py:40
↓ 2 callers
Class
FPN
Simple convolutional head, using group norm. Upsampling is done using a FPN approach
cityscale/models/detr/segmentation_raw.py:207
↓ 2 callers
Class
FPN
Simple convolutional head, using group norm. Upsampling is done using a FPN approach
cityscale/models/detr/segmentation.py:306
↓ 2 callers
Class
FPN
Simple convolutional head, using group norm. Upsampling is done using a FPN approach
spacenet/models/detr/segmentation_raw.py:207
↓ 2 callers
Class
FPN
Simple convolutional head, using group norm. Upsampling is done using a FPN approach
spacenet/models/detr/segmentation.py:310
↓ 2 callers
Class
MLP
Very simple multi-layer perceptron (also called FFN)
cityscale/models/detr/detr.py:267
↓ 2 callers
Class
MLP
Very simple multi-layer perceptron (also called FFN)
spacenet/models/detr/detr.py:267
↓ 2 callers
Class
SmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
cityscale/utils/misc.py:26
↓ 2 callers
Class
SmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
cityscale/models/util/misc.py:27
↓ 2 callers
Class
SmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
spacenet/utils/misc.py:26
↓ 2 callers
Class
SmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
spacenet/models/util/misc.py:27
↓ 2 callers
Class
Vertex
cityscale/main_val.py:16
↓ 2 callers
Class
Vertex
cityscale/sampler.py:89
↓ 2 callers
Class
Vertex
cityscale/main_test.py:20
↓ 2 callers
Class
Vertex
cityscale/lib/graph.py:10
↓ 2 callers
Class
Vertex
spacenet/main_val.py:16
↓ 2 callers
Class
Vertex
spacenet/sampler.py:92
↓ 2 callers
Class
Vertex
spacenet/main_test.py:20
↓ 2 callers
Class
Vertex
spacenet/lib/graph.py:10
↓ 1 callers
Class
Backbone
ResNet backbone with frozen BatchNorm.
cityscale/models/detr/backbone.py:74
↓ 1 callers
Class
Backbone
ResNet backbone with frozen BatchNorm.
spacenet/models/detr/backbone.py:74
↓ 1 callers
Class
Bottleneck
cityscale/models/detr/segmentation_raw.py:178
↓ 1 callers
Class
Bottleneck
spacenet/models/detr/segmentation_raw.py:178
↓ 1 callers
Class
DETR
This is the DETR module that performs object detection
cityscale/models/detr/detr.py:21
↓ 1 callers
Class
DETR
This is the DETR module that performs object detection
spacenet/models/detr/detr.py:21
↓ 1 callers
Class
DETRsegm
cityscale/models/detr/segmentation.py:12
↓ 1 callers
Class
DETRsegm
spacenet/models/detr/segmentation.py:13
↓ 1 callers
Class
Edge
cityscale/sampler.py:21
↓ 1 callers
Class
Edge
spacenet/sampler.py:21
↓ 1 callers
Class
Graph
cityscale/main_test.py:33
↓ 1 callers
Class
Graph
cityscale/prepare_dataset/create_label.py:24
↓ 1 callers
Class
Graph
spacenet/main_test.py:33
↓ 1 callers
Class
Graph
spacenet/prepare_dataset/create_label.py:24
↓ 1 callers
Class
GraphContainer
cityscale/lib/graph.py:660
↓ 1 callers
Class
GraphContainer
spacenet/lib/graph.py:660
↓ 1 callers
Class
HungarianMatcher
This class computes an assignment between the targets and the predictions of the network For efficiency reasons, the targets don't include the no
cityscale/models/detr/matcher.py:12
↓ 1 callers
Class
HungarianMatcher
This class computes an assignment between the targets and the predictions of the network For efficiency reasons, the targets don't include the no
spacenet/models/detr/matcher.py:12
↓ 1 callers
Class
Index
cityscale/lib/graph.py:101
↓ 1 callers
Class
Index
spacenet/lib/graph.py:101
↓ 1 callers
Class
Joiner
cityscale/models/detr/backbone.py:88
↓ 1 callers
Class
Joiner
spacenet/models/detr/backbone.py:88
↓ 1 callers
Class
MHAttentionMap
This is a 2D attention module, which only returns the attention softmax (no multiplication by value)
cityscale/models/detr/segmentation_raw.py:146
↓ 1 callers
Class
MHAttentionMap
This is a 2D attention module, which only returns the attention softmax (no multiplication by value)
cityscale/models/detr/segmentation.py:79
↓ 1 callers
Class
MHAttentionMap
This is a 2D attention module, which only returns the attention softmax (no multiplication by value)
spacenet/models/detr/segmentation_raw.py:146
↓ 1 callers
Class
MHAttentionMap
This is a 2D attention module, which only returns the attention softmax (no multiplication by value)
spacenet/models/detr/segmentation.py:80
↓ 1 callers
Class
MaskHeadSmallConv
Simple convolutional head, using group norm. Upsampling is done using a FPN approach
cityscale/models/detr/segmentation_raw.py:72
↓ 1 callers
Class
MaskHeadSmallConv
Simple convolutional head, using group norm. Upsampling is done using a FPN approach
spacenet/models/detr/segmentation_raw.py:72
↓ 1 callers
Class
PositionEmbeddingLearned
Absolute pos embedding, learned.
cityscale/models/detr/position_encoding.py:51
↓ 1 callers
Class
PositionEmbeddingLearned
Absolute pos embedding, learned.
spacenet/models/detr/position_encoding.py:51
↓ 1 callers
Class
PositionEmbeddingSine
This is a more standard version of the position embedding, very similar to the one used by the Attention is all you need paper, generalized t
cityscale/models/detr/position_encoding.py:12
↓ 1 callers
Class
PositionEmbeddingSine
This is a more standard version of the position embedding, very similar to the one used by the Attention is all you need paper, generalized t
spacenet/models/detr/position_encoding.py:12
↓ 1 callers
Class
Region
cityscale/utils/regions.py:1
↓ 1 callers
Class
Region
spacenet/utils/regions.py:1
↓ 1 callers
Class
RoadSegmentExploration
cityscale/lib/graph.py:561
↓ 1 callers
Class
RoadSegmentExploration
spacenet/lib/graph.py:561
↓ 1 callers
Class
Sampler
cityscale/sampler.py:100
↓ 1 callers
Class
Sampler
spacenet/sampler.py:106
↓ 1 callers
Class
Segment
cityscale/lib/geom.py:102
↓ 1 callers
Class
Segment
spacenet/lib/geom.py:102
↓ 1 callers
Class
SetCriterion
This class computes the loss for DETR. The process happens in two steps: 1) we compute hungarian assignment between ground truth boxes an
cityscale/models/detr/detr.py:89
↓ 1 callers
Class
SetCriterion
This class computes the loss for DETR. The process happens in two steps: 1) we compute hungarian assignment between ground truth boxes an
spacenet/models/detr/detr.py:89
↓ 1 callers
Class
TargetPosesContainer
cityscale/utils/model_utils.py:1051
↓ 1 callers
Class
TargetPosesContainer
spacenet/utils/model_utils.py:1051
↓ 1 callers
Class
TileCache
cityscale/utils/tileloader.py:99
↓ 1 callers
Class
TileCache
spacenet/utils/tileloader.py:99
↓ 1 callers
Class
Transformer
cityscale/models/detr/transformer.py:18
↓ 1 callers
Class
Transformer
spacenet/models/detr/transformer.py:18
↓ 1 callers
Class
TransformerDecoder
cityscale/models/detr/transformer.py:89
↓ 1 callers
Class
TransformerDecoder
spacenet/models/detr/transformer.py:89
↓ 1 callers
Class
TransformerDecoderLayer
cityscale/models/detr/transformer.py:190
↓ 1 callers
Class
TransformerDecoderLayer
spacenet/models/detr/transformer.py:190
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