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Types & classes914 in github.com/Adamdad/hash3D

⨍ Functions 4,150◇ Types & classes 914↳ Endpoints 2
↓ 226 callersClassresnet
threestudio-hash3d/extern/ldm_zero123/modules/evaluate/evaluate_perceptualsim.py:181
↓ 110 callersClassAttention
threestudio-hash3d/extern/ldm_zero123/modules/x_transformer.py:221
↓ 17 callersClassResnetBlock
gaussiandreamer-hash3d/threestudio/utils/GAN/vae.py:80
↓ 17 callersClassResnetBlock
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/model.py:81
↓ 17 callersClassResnetBlock
threestudio-hash3d/threestudio/utils/GAN/vae.py:80
↓ 10 callersClassMiniCam
dreamgaussian-hash3d/gs_renderer.py:645
↓ 10 callersClassResBlock
A residual block that can optionally change the number of channels. :param channels: the number of input channels. :param emb_channels: t
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/openaimodel.py:178
↓ 9 callersClassTimestepEmbedSequential
A sequential module that passes timestep embeddings to the children that support it as an extra input.
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/openaimodel.py:78
↓ 8 callersClassDirectionConfig
gaussiandreamer-hash3d/threestudio/models/prompt_processors/base.py:27
↓ 8 callersClassDirectionConfig
threestudio-hash3d/threestudio/models/prompt_processors/base.py:27
↓ 8 callersClassZero123
dreamgaussian-hash3d/guidance/zero123_utils.py:15
↓ 7 callersClassBackbone
threestudio-hash3d/extern/ldm_zero123/thirdp/psp/model_irse.py:27
↓ 5 callersClassAttentionBlock
An attention block that allows spatial positions to attend to each other. Originally ported from here, but adapted to the N-d case. https
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/openaimodel.py:292
↓ 5 callersClassMVDream
dreamgaussian-hash3d/guidance/mvdream_utils.py:12
↓ 5 callersClassMesh
gaussiandreamer-hash3d/threestudio/models/mesh.py:12
↓ 5 callersClassMesh
threestudio-hash3d/threestudio/models/mesh.py:12
↓ 5 callersClassNetLinLayer
A single linear layer which does a 1x1 conv
gaussiandreamer-hash3d/threestudio/utils/perceptual/perceptual.py:81
↓ 5 callersClassNetLinLayer
A single linear layer which does a 1x1 conv
threestudio-hash3d/threestudio/utils/perceptual/perceptual.py:104
↓ 5 callersClassStableDiffusion
dreamgaussian-hash3d/guidance/sd_utils.py:21
↓ 4 callersClassBasicPointCloud
gaussiandreamer-hash3d/gaussiansplatting/utils/graphics_utils.py:17
↓ 4 callersClassCamera
gaussiandreamer-hash3d/gaussiansplatting/scene/cameras.py:17
↓ 4 callersClassDecoder
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/model.py:497
↓ 4 callersClassDownsample
A downsampling layer with an optional convolution. :param channels: channels in the inputs and outputs. :param use_conv: a bool determini
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/openaimodel.py:144
↓ 4 callersClassOrbitCamera
dreamgaussian-hash3d/cam_utils.py:65
↓ 4 callersClassRandomCameraDataset
gaussiandreamer-hash3d/threestudio/data/uncond.py:397
↓ 4 callersClassRandomCameraDataset
threestudio-hash3d/threestudio/data/uncond.py:347
↓ 4 callersClassUpsample
gaussiandreamer-hash3d/threestudio/utils/GAN/vae.py:44
↓ 4 callersClassUpsample
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/model.py:45
↓ 4 callersClassUpsample
threestudio-hash3d/threestudio/utils/GAN/vae.py:44
↓ 3 callersClassDDIMSampler
threestudio-hash3d/extern/ldm_zero123/models/diffusion/ddim.py:23
↓ 3 callersClassDownsample
gaussiandreamer-hash3d/threestudio/utils/GAN/vae.py:60
↓ 3 callersClassDownsample
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/model.py:61
↓ 3 callersClassDownsample
threestudio-hash3d/threestudio/utils/GAN/vae.py:60
↓ 3 callersClassEncoder
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/model.py:380
↓ 3 callersClassFIDStatistics
threestudio-hash3d/extern/ldm_zero123/modules/evaluate/adm_evaluator.py:93
↓ 3 callersClassFrozenCLIPEmbedder
Uses the CLIP transformer encoder for text (from huggingface)
threestudio-hash3d/extern/ldm_zero123/modules/encoders/modules.py:308
↓ 3 callersClassGaussianModel
gaussiandreamer-hash3d/gaussiansplatting/scene/gaussian_model.py:24
↓ 3 callersClassImageDream
dreamgaussian-hash3d/guidance/imagedream_utils.py:13
↓ 3 callersClassLPIPS
r"""Creates a criterion that measures Learned Perceptual Image Patch Similarity (LPIPS). Arguments: net_type (str): the network type
gaussiandreamer-hash3d/gaussiansplatting/lpipsPyTorch/modules/lpips.py:8
↓ 3 callersClassLatentRescaler
gaussiandreamer-hash3d/threestudio/utils/GAN/vae.py:753
↓ 3 callersClassLatentRescaler
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/model.py:734
↓ 3 callersClassLatentRescaler
threestudio-hash3d/threestudio/utils/GAN/vae.py:753
↓ 3 callersClassMeshOBJ
gaussiandreamer-hash3d/threestudio/utils/ops.py:318
↓ 3 callersClassMeshOBJ
threestudio-hash3d/threestudio/utils/ops.py:385
↓ 3 callersClassNLayerDiscriminator
Defines a PatchGAN discriminator as in Pix2Pix --> see https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/blob/master/models/networks.py
threestudio-hash3d/threestudio/utils/GAN/discriminator.py:146
↓ 3 callersClassPNet
Pre-trained network with all channels equally weighted by default
threestudio-hash3d/extern/ldm_zero123/modules/evaluate/evaluate_perceptualsim.py:227
↓ 3 callersClassPipelineParams
gaussiandreamer-hash3d/gaussiansplatting/arguments/__init__.py:63
↓ 3 callersClassRandomCameraIterableDataset
gaussiandreamer-hash3d/threestudio/data/uncond.py:90
↓ 3 callersClassRandomCameraIterableDataset
threestudio-hash3d/threestudio/data/uncond.py:62
↓ 3 callersClassSpatialTransformer
Transformer block for image-like data. First, project the input (aka embedding) and reshape to b, t, d. Then apply standard transform
threestudio-hash3d/extern/ldm_zero123/modules/attention.py:244
↓ 3 callersClassTetrahedraSDFGrid
gaussiandreamer-hash3d/threestudio/models/geometry/tetrahedra_sdf_grid.py:26
↓ 3 callersClassTetrahedraSDFGrid
threestudio-hash3d/threestudio/models/geometry/tetrahedra_sdf_grid.py:26
↓ 3 callersClassToDTypeWrapper
threestudio-hash3d/threestudio/models/networks.py:404
↓ 3 callersClassUpsample
An upsampling layer with an optional convolution. :param channels: channels in the inputs and outputs. :param use_conv: a bool determinin
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/openaimodel.py:95
↓ 3 callersClassZero123_Cache
dreamgaussian-hash3d/guidance/zero123_cache_utils.py:30
↓ 2 callersClassAttnBlock
gaussiandreamer-hash3d/threestudio/utils/GAN/vae.py:147
↓ 2 callersClassAttnBlock
threestudio-hash3d/extern/ldm_zero123/modules/diffusionmodules/model.py:148
↓ 2 callersClassAttnBlock
threestudio-hash3d/threestudio/utils/GAN/vae.py:147
↓ 2 callersClassAutoencoderKL
threestudio-hash3d/extern/ldm_zero123/models/autoencoder.py:342
↓ 2 callersClassBottleneck
A named tuple describing a ResNet block.
threestudio-hash3d/extern/ldm_zero123/thirdp/psp/helpers.py:34
↓ 2 callersClassCameraInfo
gaussiandreamer-hash3d/gaussiansplatting/scene/dataset_readers.py:26
↓ 2 callersClassCo3dDataset
gaussiandreamer-hash3d/threestudio/data/co3d.py:528
↓ 2 callersClassCo3dDataset
threestudio-hash3d/threestudio/data/co3d.py:528
↓ 2 callersClassCrossAttention
gaussiandreamer-hash3d/threestudio/utils/GAN/attention.py:150
↓ 2 callersClassCrossAttention
threestudio-hash3d/extern/ldm_zero123/modules/attention.py:150
↓ 2 callersClassCrossAttention
threestudio-hash3d/threestudio/utils/GAN/attention.py:150
↓ 2 callersClassDecoder
gaussiandreamer-hash3d/threestudio/utils/GAN/vae.py:499
↓ 2 callersClassDecoder
threestudio-hash3d/threestudio/utils/GAN/vae.py:499
↓ 2 callersClassDiagonalGaussianDistribution
gaussiandreamer-hash3d/threestudio/utils/GAN/distribution.py:24
↓ 2 callersClassDiagonalGaussianDistribution
threestudio-hash3d/threestudio/utils/GAN/distribution.py:24
↓ 2 callersClassEncoder
threestudio-hash3d/extern/ldm_zero123/modules/x_transformer.py:588
↓ 2 callersClassExporterOutput
gaussiandreamer-hash3d/threestudio/models/exporters/base.py:12
↓ 2 callersClassExporterOutput
threestudio-hash3d/threestudio/models/exporters/base.py:12
↓ 2 callersClassFlatten
threestudio-hash3d/extern/ldm_zero123/thirdp/psp/helpers.py:23
↓ 2 callersClassFrozenCLIPImageEmbedder
Uses the CLIP image encoder. Not actually frozen... If you want that set cond_stage_trainable=False in cfg
threestudio-hash3d/extern/ldm_zero123/modules/encoders/modules.py:432
↓ 2 callersClassGaussianRasterizationSettings
gaussiandreamer-hash3d/gaussiansplatting/submodules/diff-gaussian-rasterization/diff_gaussian_rasterization/__init__.py:157
↓ 2 callersClassGaussianRasterizer
gaussiandreamer-hash3d/gaussiansplatting/submodules/diff-gaussian-rasterization/diff_gaussian_rasterization/__init__.py:171
↓ 2 callersClassGridBasedHashTable_Sim
threestudio-hash3d/threestudio/utils/hash_table.py:101
↓ 2 callersClassHswish
gaussiandreamer-hash3d/threestudio/utils/GAN/mobilenet.py:33
↓ 2 callersClassHswish
threestudio-hash3d/threestudio/utils/GAN/mobilenet.py:33
↓ 2 callersClassImage
gaussiandreamer-hash3d/gaussiansplatting/scene/colmap_loader.py:68
↓ 2 callersClassImportanceEstimator
threestudio-hash3d/threestudio/models/estimators.py:16
↓ 2 callersClassKAttentionBlock
r""" A basic Transformer block. Parameters: dim (`int`): The number of channels in the input and output. num_attention_heads
dreamgaussian-hash3d/DeepCache/zero123/unet_2d_blocks.py:3192
↓ 2 callersClassKAttentionBlock
r""" A basic Transformer block. Parameters: dim (`int`): The number of channels in the input and output. num_attention_heads
dreamgaussian-hash3d/DeepCache/sdxl/unet_2d_blocks.py:3192
↓ 2 callersClassKAttentionBlock
r""" A basic Transformer block. Parameters: dim (`int`): The number of channels in the input and output. num_attention_heads
dreamgaussian-hash3d/DeepCache/sd/unet_2d_blocks.py:3185
↓ 2 callersClassKAttentionBlock
r""" A basic Transformer block. Parameters: dim (`int`): The number of channels in the input and output. num_attention_heads
gaussiandreamer-hash3d/DeepCache/zero123/unet_2d_blocks.py:3192
↓ 2 callersClassKAttentionBlock
r""" A basic Transformer block. Parameters: dim (`int`): The number of channels in the input and output. num_attention_heads
gaussiandreamer-hash3d/DeepCache/sdxl/unet_2d_blocks.py:3192
↓ 2 callersClassKAttentionBlock
r""" A basic Transformer block. Parameters: dim (`int`): The number of channels in the input and output. num_attention_heads
gaussiandreamer-hash3d/DeepCache/sd/unet_2d_blocks.py:3185
↓ 2 callersClassKAttentionBlock
r""" A basic Transformer block. Parameters: dim (`int`): The number of channels in the input and output. num_attention_heads
threestudio-hash3d/DeepCache/zero123/unet_2d_blocks.py:3192
↓ 2 callersClassKAttentionBlock
r""" A basic Transformer block. Parameters: dim (`int`): The number of channels in the input and output. num_attention_heads
threestudio-hash3d/DeepCache/sdxl/unet_2d_blocks.py:3192
↓ 2 callersClassKAttentionBlock
r""" A basic Transformer block. Parameters: dim (`int`): The number of channels in the input and output. num_attention_heads
threestudio-hash3d/DeepCache/sd/unet_2d_blocks.py:3185
↓ 2 callersClassKeyNotFoundError
gaussiandreamer-hash3d/threestudio/utils/perceptual/utils.py:43
↓ 2 callersClassKeyNotFoundError
threestudio-hash3d/threestudio/utils/perceptual/utils.py:43
↓ 2 callersClassLitEma
threestudio-hash3d/extern/ldm_zero123/modules/ema.py:5
↓ 2 callersClassMarchingTetrahedraHelper
gaussiandreamer-hash3d/threestudio/models/isosurface.py:69
↓ 2 callersClassMarchingTetrahedraHelper
threestudio-hash3d/threestudio/models/isosurface.py:69
↓ 2 callersClassModelParams
gaussiandreamer-hash3d/gaussiansplatting/arguments/__init__.py:47
↓ 2 callersClassMultiviewDataset
gaussiandreamer-hash3d/threestudio/data/multiview.py:196
↓ 2 callersClassMultiviewDataset
threestudio-hash3d/threestudio/data/multiview.py:201
↓ 2 callersClassNVDiffRasterizerContext
gaussiandreamer-hash3d/threestudio/utils/rasterize.py:7
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