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Types & classes530 in github.com/buaacyw/GaussianEditor

⨍ Functions 2,890◇ Types & classes 530↳ Endpoints 3
↓ 20 callersClassViewport
gaussiansplatting/SIBR_viewers/src/core/view/Orbit.hpp:26
↓ 10 callersClassVideoVolume
gaussiansplatting/SIBR_viewers/src/core/video/VideoUtils.hpp:60
↓ 8 callersClassDirectionConfig
threestudio/models/prompt_processors/base.py:27
↓ 8 callersClassTranspose
threestudio/utils/dpt.py:71
↓ 8 callersClassUnknownImageFormat
gaussiansplatting/SIBR_viewers/src/projects/dataset_tools/preprocess/converters/get_image_size.py:37
↓ 7 callersClassMVpixel
gaussiansplatting/SIBR_viewers/src/core/view/ImagesGrid.hpp:88
↓ 7 callersClassPixPos
gaussiansplatting/SIBR_viewers/src/core/view/interface/Interface.h:30
↓ 5 callersClassCamera
gaussiansplatting/scene/cameras.py:17
↓ 5 callersClassGaussianModel
gaussiansplatting/scene/gaussian_model.py:41
↓ 5 callersClassNetLinLayer
A single linear layer which does a 1x1 conv
threestudio/utils/perceptual/perceptual.py:81
↓ 5 callersClassPerceptualLoss
threestudio/utils/perceptual/perceptual.py:12
↓ 5 callersClassPipelineParams
gaussiansplatting/arguments/__init__.py:63
↓ 5 callersClassStableDiffusionPromptProcessor
threestudio/models/prompt_processors/stable_diffusion_prompt_processor.py:16
↓ 5 callersClassTimeHistogram
gaussiansplatting/SIBR_viewers/src/core/video/VideoUtils.hpp:974
↓ 4 callersClassCamScene
gaussiansplatting/scene/camera_scene.py:17
↓ 4 callersClassInput
gaussiansplatting/SIBR_viewers/src/core/view/Orbit.hpp:28
↓ 4 callersClassOptimizationParams
gaussiansplatting/arguments/__init__.py:71
↓ 4 callersClassPSNR
threestudio/utils/wonder3D/instant-nsr-pl/systems/criterions.py:40
↓ 3 callersClassBasicPointCloud
gaussiansplatting/utils/graphics_utils.py:17
↓ 3 callersClassBlenderDataset
threestudio/utils/wonder3D/instant-nsr-pl/datasets/blender.py:74
↓ 3 callersClassC2W_Camera
gaussiansplatting/scene/cameras.py:101
↓ 3 callersClassCameraInfo
gaussiansplatting/scene/dataset_readers.py:26
↓ 3 callersClassColmapDataset
threestudio/utils/wonder3D/instant-nsr-pl/datasets/colmap.py:271
↓ 3 callersClassDTUDataset
threestudio/utils/wonder3D/instant-nsr-pl/datasets/dtu.py:140
↓ 3 callersClassGaussianRasterizationSettings
gaussiansplatting/submodules/diff-gaussian-rasterization/diff_gaussian_rasterization/__init__.py:228
↓ 3 callersClassGaussianRasterizer
gaussiansplatting/submodules/diff-gaussian-rasterization/diff_gaussian_rasterization/__init__.py:243
↓ 3 callersClassLangSAMTextSegmentor
threestudio/utils/sam.py:14
↓ 3 callersClassMVDiffusionImagePipeline
r""" Pipeline to generate image variations from an input image using Stable Diffusion. This model inherits from [`DiffusionPipeline`]. Check
threestudio/utils/wonder3D/mvdiffusion/pipelines/pipeline_mvdiffusion_image.py:38
↓ 3 callersClassMesh
threestudio/models/mesh.py:12
↓ 3 callersClassMesh
gaussiansplatting/SIBR_viewers/src/core/graphics/MeshBufferGL.hpp:32
↓ 3 callersClassMeshOBJ
threestudio/utils/ops.py:318
↓ 3 callersClassModelParams
gaussiansplatting/arguments/__init__.py:47
↓ 3 callersClassOrthoDataset
threestudio/utils/wonder3D/instant-nsr-pl/datasets/ortho.py:312
↓ 3 callersClassSceneInfo
gaussiansplatting/scene/dataset_readers.py:39
↓ 3 callersClassSceneOptions
gaussiansplatting/SIBR_viewers/src/core/scene/IIBRScene.hpp:49
↓ 3 callersClassSimple_Camera
gaussiansplatting/scene/cameras.py:59
↓ 3 callersClassTaskPipeline
gaussiansplatting/SIBR_viewers/src/projects/dataset_tools/preprocess/utils/TaskPipeline.py:22
↓ 3 callersClassTransformerMV2DModel
A 2D Transformer model for image-like data. Parameters: num_attention_heads (`int`, *optional*, defaults to 16): The number of heads
threestudio/utils/wonder3D/mvdiffusion/models/transformer_mv2d.py:56
↓ 2 callersClassCamera
gaussiansplatting/SIBR_viewers/src/core/graphics/Frustum.hpp:21
↓ 2 callersClassCustomJointAttention
threestudio/utils/wonder3D/mvdiffusion/models/transformer_mv2d.py:624
↓ 2 callersClassDPT
threestudio/utils/dpt.py:998
↓ 2 callersClassDPTDepthModel
threestudio/utils/dpt.py:975
↓ 2 callersClassExporterOutput
threestudio/models/exporters/base.py:10
↓ 2 callersClassGSLoadDataset
threestudio/data/gs_load.py:293
↓ 2 callersClassImage
threestudio/utils/wonder3D/instant-nsr-pl/datasets/colmap_utils.py:47
↓ 2 callersClassImage
gaussiansplatting/scene/colmap_loader.py:68
↓ 2 callersClassImage
gaussiansplatting/SIBR_viewers/src/projects/dataset_tools/preprocess/fullColmapProcess/read_write_model.py:49
↓ 2 callersClassInstructPix2PixGuidance
threestudio/models/guidance/instructpix2pix_guidance.py:19
↓ 2 callersClassJointAttnProcessor
r""" Default processor for performing attention-related computations.
threestudio/utils/wonder3D/mvdiffusion/models/transformer_mv2d.py:929
↓ 2 callersClassKeyNotFoundError
threestudio/utils/perceptual/utils.py:43
↓ 2 callersClassLayerData
gaussiansplatting/SIBR_viewers/src/core/view/interface/Interface.h:55
↓ 2 callersClassRect
gaussiansplatting/SIBR_viewers/src/core/system/Rect.hpp:33
↓ 2 callersClassResidualConvUnit
Residual convolution module.
threestudio/utils/dpt.py:703
↓ 2 callersClassResidualConvUnit_custom
Residual convolution module.
threestudio/utils/dpt.py:770
↓ 2 callersClassScene
gaussiansplatting/scene/__init__.py:22
↓ 1 callersClassAddReadout
threestudio/utils/dpt.py:44
↓ 1 callersClassAlexNet
gaussiansplatting/lpipsPyTorch/modules/networks.py:77
↓ 1 callersClassBasicMVTransformerBlock
r""" A basic Transformer block. Parameters: dim (`int`): The number of channels in the input and output. num_attention_heads
threestudio/utils/wonder3D/mvdiffusion/models/transformer_mv2d.py:368
↓ 1 callersClassBlenderIterableDataset
threestudio/utils/wonder3D/instant-nsr-pl/datasets/blender.py:87
↓ 1 callersClassBundleCamera
gaussiansplatting/SIBR_viewers/src/projects/dataset_tools/preprocess/converters/bundle.py:41
↓ 1 callersClassBundleFeaturePoint
gaussiansplatting/SIBR_viewers/src/projects/dataset_tools/preprocess/converters/bundle.py:71
↓ 1 callersClassCameraInfos
gaussiansplatting/SIBR_viewers/src/core/view/SceneDebugView.hpp:66
↓ 1 callersClassChainedScheduler
Chains list of learning rate schedulers. It takes a list of chainable learning rate schedulers and performs consecutive step() functions belong to
threestudio/utils/wonder3D/instant-nsr-pl/systems/utils.py:12
↓ 1 callersClassClipSimilarity
threestudio/utils/clip_metrics.py:7
↓ 1 callersClassCodeSnapshotCallback
threestudio/utils/wonder3D/instant-nsr-pl/utils/callbacks.py:52
↓ 1 callersClassColmapIterableDataset
threestudio/utils/wonder3D/instant-nsr-pl/datasets/colmap.py:284
↓ 1 callersClassColoredFilter
A logging filter to add color to certain log levels.
launch.py:9
↓ 1 callersClassCompositeEncoding
threestudio/utils/wonder3D/instant-nsr-pl/models/network_utils.py:68
↓ 1 callersClassCompositeEncoding
threestudio/models/networks.py:108
↓ 1 callersClassConfigSnapshotCallback
threestudio/utils/callbacks.py:97
↓ 1 callersClassConfigSnapshotCallback
threestudio/utils/wonder3D/instant-nsr-pl/utils/callbacks.py:79
↓ 1 callersClassControlNetGuidance
threestudio/models/guidance/controlnet_guidance.py:21
↓ 1 callersClassCrossAttnDownBlockMV2D
threestudio/utils/wonder3D/mvdiffusion/models/unet_mv2d_blocks.py:731
↓ 1 callersClassCrossAttnUpBlockMV2D
threestudio/utils/wonder3D/mvdiffusion/models/unet_mv2d_blocks.py:590
↓ 1 callersClassCustomAttention
threestudio/utils/wonder3D/mvdiffusion/models/transformer_mv2d.py:615
↓ 1 callersClassCustomProgressBar
threestudio/utils/callbacks.py:113
↓ 1 callersClassCustomProgressBar
threestudio/utils/wonder3D/instant-nsr-pl/utils/callbacks.py:94
↓ 1 callersClassDTUIterableDataset
threestudio/utils/wonder3D/instant-nsr-pl/datasets/dtu.py:153
↓ 1 callersClassDelGuidance
GUI/DelGuidance.py:14
↓ 1 callersClassEditGuidance
GUI/EditGuidance.py:11
↓ 1 callersClassEncodingWithNetwork
threestudio/utils/wonder3D/instant-nsr-pl/models/network_utils.py:187
↓ 1 callersClassF
gaussiansplatting/utils/general_utils.py:114
↓ 1 callersClassFeatureFusionBlock_custom
Feature fusion block.
threestudio/utils/dpt.py:838
↓ 1 callersClassGSLoadIterableDataset
threestudio/data/gs_load.py:211
↓ 1 callersClassGroupParams
gaussiansplatting/arguments/__init__.py:16
↓ 1 callersClassImage
gaussiansplatting/SIBR_viewers/src/core/graphics/Image.hpp:242
↓ 1 callersClassImage
gaussiansplatting/SIBR_viewers/src/projects/dataset_tools/preprocess/converters/get_image_size.py:52
↓ 1 callersClassImagePtr
gaussiansplatting/SIBR_viewers/src/core/graphics/Image.hpp:225
↓ 1 callersClassInputImage
gaussiansplatting/SIBR_viewers/src/projects/dataset_tools/preprocess/converters/bundle.py:20
↓ 1 callersClassInterpolate
Interpolation module.
threestudio/utils/dpt.py:669
↓ 1 callersClassLPIPS
r"""Creates a criterion that measures Learned Perceptual Image Patch Similarity (LPIPS). Arguments: net_type (str): the network type
gaussiansplatting/lpipsPyTorch/modules/lpips.py:8
↓ 1 callersClassLinLayers
gaussiansplatting/lpipsPyTorch/modules/networks.py:23
↓ 1 callersClassMVAttnProcessor
r""" Default processor for performing attention-related computations.
threestudio/utils/wonder3D/mvdiffusion/models/transformer_mv2d.py:632
↓ 1 callersClassMarchingCubeHelper
threestudio/utils/wonder3D/instant-nsr-pl/models/geometry.py:32
↓ 1 callersClassMesh
gaussiansplatting/SIBR_viewers/src/core/view/Orbit.hpp:27
↓ 1 callersClassMeshData
gaussiansplatting/SIBR_viewers/src/core/view/MultiMeshManager.hpp:26
↓ 1 callersClassMiniCam
gaussiansplatting/scene/cameras.py:141
↓ 1 callersClassMultiMeshManager
gaussiansplatting/SIBR_viewers/src/core/view/MultiMeshManager.hpp:25
↓ 1 callersClassMultiViewInterface
gaussiansplatting/SIBR_viewers/src/core/view/interface/Interface.h:69
↓ 1 callersClassNVDiffRasterizerContext
threestudio/utils/rasterize.py:7
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