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Types & classes41 in github.com/Parskatt/DeDoDe

⨍ Functions 202◇ Types & classes 41
↓ 30 callersClassConvRefiner
DeDoDe/decoder.py:20
↓ 7 callersClassDecoder
DeDoDe/decoder.py:6
↓ 4 callersClassDeDoDeDescriptor
DeDoDe/descriptors/dedode_descriptor.py:9
↓ 4 callersClassDinoVisionTransformer
DeDoDe/transformer/dinov2.py:43
↓ 4 callersClassDualSoftMaxMatcher
DeDoDe/matchers/dual_softmax_matcher.py:9
↓ 3 callersClassCheckPoint
DeDoDe/checkpoint.py:9
↓ 3 callersClassDeDoDeDetector
DeDoDe/detectors/dedode_detector.py:12
↓ 3 callersClassMegadepthBuilder
DeDoDe/datasets/megadepth.py:213
↓ 3 callersClassVGG
DeDoDe/encoder.py:25
↓ 3 callersClassVGG19
DeDoDe/encoder.py:6
↓ 2 callersClassDescriptorLoss
DeDoDe/descriptors/descriptor_loss.py:9
↓ 2 callersClassDropPath
Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
DeDoDe/transformer/layers/drop_path.py:27
↓ 2 callersClassLayerScale
DeDoDe/transformer/layers/layer_scale.py:16
↓ 2 callersClassMegaDepthPoseMNNBenchmark
DeDoDe/benchmarks/mega_pose_est_mnn.py:8
↓ 2 callersClassMegadepthNLLBenchmark
DeDoDe/benchmarks/nll_benchmark.py:6
↓ 2 callersClassTupleCompose
DeDoDe/utils.py:430
↓ 2 callersClassTupleResize
DeDoDe/utils.py:396
↓ 2 callersClassTupleToTensorScaled
DeDoDe/utils.py:362
↓ 2 callersClassVGG_DINOv2
DeDoDe/encoder.py:77
↓ 1 callersClassBlockChunk
DeDoDe/transformer/dinov2.py:36
↓ 1 callersClassClahe
DeDoDe/utils.py:331
↓ 1 callersClassFrozenDINOv2
DeDoDe/encoder.py:49
↓ 1 callersClassKeyPointLoss
DeDoDe/detectors/keypoint_loss.py:8
↓ 1 callersClassMegadepthScene
DeDoDe/datasets/megadepth.py:13
↓ 1 callersClassNumInliersBenchmark
DeDoDe/benchmarks/num_inliers.py:6
↓ 1 callersClassToTensorScaled
Convert a RGB PIL Image to a CHW ordered Tensor, scale the range to [0, 1]
DeDoDe/utils.py:347
↓ 1 callersClassToTensorUnscaled
Convert a RGB PIL Image to a CHW ordered Tensor
DeDoDe/utils.py:373
↓ 1 callersClassTupleClahe
DeDoDe/utils.py:341
↓ 1 callersClassTupleNormalize
DeDoDe/utils.py:414
↓ 1 callersClassTupleToTensorUnscaled
Convert a RGB PIL Image to a CHW ordered Tensor
DeDoDe/utils.py:383
ClassAttention
DeDoDe/transformer/layers/attention.py:29
ClassBlock
DeDoDe/transformer/layers/block.py:36
ClassDINOHead
DeDoDe/transformer/layers/dino_head.py:13
ClassMegaDepthPoseEstimationBenchmark
DeDoDe/benchmarks/mega_pose_est.py:8
ClassMemEffAttention
DeDoDe/transformer/layers/attention.py:65
ClassMlp
DeDoDe/transformer/layers/mlp.py:17
ClassNestedTensorBlock
DeDoDe/transformer/layers/block.py:204
ClassNormalize
DeDoDe/utils.py:407
ClassPatchEmbed
2D image to patch embedding: (B,C,H,W) -> (B,N,D) Args: img_size: Image size. patch_size: Patch token size. in_chans
DeDoDe/transformer/layers/patch_embed.py:26
ClassSwiGLUFFN
DeDoDe/transformer/layers/swiglu_ffn.py:13
ClassSwiGLUFFNFused
DeDoDe/transformer/layers/swiglu_ffn.py:45