Functions — github.com/Fannovel16/comfyui_controlnet

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Functions4,192 in github.com/Fannovel16/comfyui_controlnet_aux

⨍ Functions 4,192◇ Types & classes 975↳ Endpoints 1

↓ 1 callersMethod__init__

(self, face_model_path, inference_size=None, gaussian_sigma=None,

src/custom_controlnet_aux/open_pose/face.py:317

↓ 1 callersMethod__init__

(self)

src/custom_controlnet_aux/open_pose/model.py:25

↓ 1 callersMethod__init__

(self, input_nc, output_nc, n_residual_blocks=9, sigmoid=True)

src/custom_controlnet_aux/lineart/__init__.py:36

↓ 1 callersMethod__init__

Init. Args: features (int): number of features

src/custom_controlnet_aux/depth_anything_v2/util/blocks.py:33

↓ 1 callersMethod__init__

( self, in_features: int, hidden_features: Optional[int] = None, out_features:

src/custom_controlnet_aux/depth_anything_v2/dinov2_layers/swiglu_ffn.py:14

↓ 1 callersMethod__init__

Construct a Unet generator Parameters: input_nc (int) -- the number of channels in input images output_nc (int) -- th

src/custom_controlnet_aux/lineart_anime/__init__.py:19

↓ 1 callersMethod__init__

(self)

src/custom_controlnet_aux/dsine/models/dsine_arch.py:49

↓ 1 callersMethod__init__

(self, encoder)

src/custom_controlnet_aux/leres/leres/multi_depth_model_woauxi.py:26

↓ 1 callersMethod__init__

(self, face_model_path, inference_size=None, gaussian_sigma=None,

src/custom_controlnet_aux/dwpose/face.py:317

↓ 1 callersMethod__init__

(self)

src/custom_controlnet_aux/dwpose/model.py:25

↓ 1 callersMethod__init__

(self, output_dim=128, norm_layer=nn.InstanceNorm2d, num_output_scales=1,

src/custom_controlnet_aux/unimatch/unimatch/backbone.py:40

↓ 1 callersMethod__init__

( self, input_dim: int, hidden_dim: int, output_dim: int, num_layers:

src/custom_controlnet_aux/sam/modeling/mask_decoder.py:155

↓ 1 callersMethod__init__

( self, embedding_dim: int, mlp_dim: int, act: Type[nn.Module] = nn.GELU,

src/custom_controlnet_aux/sam/modeling/common.py:14

↓ 1 callersMethod__init__

Encodes prompts for input to SAM's mask decoder. Arguments: embed_dim (int): The prompts' embedding dimension im

src/custom_controlnet_aux/sam/modeling/prompt_encoder.py:17

↓ 1 callersMethod__init__

(self, bit_a, signed=False)

src/custom_controlnet_aux/diffusion_edge/denoising_diffusion_pytorch/quantization.py:85

↓ 1 callersMethod__init__

( self, model, *, image_size, timesteps = 1000, sampling_times

src/custom_controlnet_aux/diffusion_edge/denoising_diffusion_pytorch/ddm_const_sde.py:44

↓ 1 callersMethod__init__

Construct a PatchGAN discriminator Parameters: input_nc (int) -- the number of channels in input images ndf (int)

src/custom_controlnet_aux/diffusion_edge/taming/modules/discriminator/model.py:21

↓ 1 callersMethod__init__

(self)

src/custom_controlnet_aux/diffusion_edge/taming/modules/losses/vqperceptual.py:10

↓ 1 callersMethod__init__

(self, size=256, random_crop=False, interpolation="bicubic")

src/custom_controlnet_aux/diffusion_edge/taming/data/ade20k.py:12

↓ 1 callersMethod__patch_instance_norm_state_dict

Fix InstanceNorm checkpoints incompatibility (prior to 0.4)

src/custom_controlnet_aux/leres/pix2pix/models/base_model.py:176

↓ 1 callersMethod_add_children

Add children for a registry. The ``registry`` will be added as children based on its scope. The parent registry could build objects f

src/custom_mmpkg/custom_mmcv/utils/registry.py:214

↓ 1 callersMethod_auxiliary_head_forward_train

Run forward function and calculate loss for auxiliary head in training.

src/custom_mmpkg/custom_mmseg/models/segmentors/encoder_decoder.py:113

↓ 1 callersMethod_binary_op

(self, x1, x2)

src/custom_mmpkg/custom_mmcv/ops/merge_cells.py:89

↓ 1 callersFunction_cached_log_stream

(filename)

src/custom_controlnet_aux/metric3d/mono/utils/logger.py:97

↓ 1 callersMethod_check_branches

Check branches configuration.

src/custom_mmpkg/custom_mmseg/models/backbones/hrnet.py:46

↓ 1 callersMethod_check_branches

(self, num_branches, blocks, num_blocks, num_inchannels, num_channels)

src/custom_mesh_graphormer/modeling/hrnet/hrnet_cls_net_gridfeat.py:127

↓ 1 callersMethod_check_branches

(self, num_branches, blocks, num_blocks, num_inchannels, num_channels)

src/custom_mesh_graphormer/modeling/hrnet/hrnet_cls_net.py:127

↓ 1 callersMethod_check_image

(self, image_rgb)

src/custom_controlnet_aux/densepose/densepose.py:188

↓ 1 callersMethod_check_input_divisible

(self, x)

src/custom_mmpkg/custom_mmseg/models/backbones/unet.py:399

↓ 1 callersMethod_check_mask_matrix

(self, mask, matrix)

src/custom_controlnet_aux/densepose/densepose.py:193

↓ 1 callersFunction_concat_dataset

Build :obj:`ConcatDataset by.

src/custom_mmpkg/custom_mmseg/datasets/builder.py:17

↓ 1 callersMethod_convert_to_label_id

Convert trainId to id for cityscapes.

src/custom_mmpkg/custom_mmseg/datasets/cityscapes.py:39

↓ 1 callersMethod_convert_to_onehot_labels

Convert segmentation label to onehot. Args: seg_label (Tensor): Segmentation label of shape (N, H, W). num_classes (i

src/custom_mmpkg/custom_mmseg/models/decode_heads/enc_head.py:159

↓ 1 callersMethod_crop_encoder

(self, crop_coordinates: BoundingBox)

src/custom_controlnet_aux/diffusion_edge/taming/data/conditional_builder/objects_center_points.py:129

↓ 1 callersMethod_decode_head_forward_test

Run forward function and calculate loss for decode head in inference.

src/custom_mmpkg/custom_mmseg/models/segmentors/encoder_decoder.py:107

↓ 1 callersMethod_decode_head_forward_train

Run forward function and calculate loss for decode head in training.

src/custom_mmpkg/custom_mmseg/models/segmentors/encoder_decoder.py:96

↓ 1 callersMethod_dump_init_info

Dump the initialization information to a file named `initialization.log.json` in workdir. Args: logger_name (str): The na

src/custom_mmpkg/custom_mmcv/runner/base_module.py:137

↓ 1 callersMethod_embed_boxes

Embeds box prompts.

src/custom_controlnet_aux/sam/modeling/prompt_encoder.py:93

↓ 1 callersMethod_embed_masks

Embeds mask inputs.

src/custom_controlnet_aux/sam/modeling/prompt_encoder.py:102

↓ 1 callersMethod_embed_masks

(self, input_mask: torch.Tensor, has_mask_input: torch.Tensor)

src/custom_controlnet_aux/sam/utils/onnx.py:69

↓ 1 callersMethod_embed_points

Embeds point prompts.

src/custom_controlnet_aux/sam/modeling/prompt_encoder.py:73

↓ 1 callersMethod_embed_points

(self, point_coords: torch.Tensor, point_labels: torch.Tensor)

src/custom_controlnet_aux/sam/utils/onnx.py:51

↓ 1 callersMethod_evaluate_cityscapes

Evaluation in Cityscapes protocol. Args: results (list): Testing results of the dataset. logger (logging.Logger | str

src/custom_mmpkg/custom_mmseg/datasets/cityscapes.py:164

↓ 1 callersFunction_expand_onehot_labels

Expand onehot labels to match the size of prediction.

src/custom_mmpkg/custom_mmseg/models/losses/cross_entropy_loss.py:35

↓ 1 callersMethod_file2dict

(filename, use_predefined_variables=True)

src/custom_mmpkg/custom_mmcv/utils/config.py:179

↓ 1 callersMethod_filter_relpaths

(self, relpaths)

src/custom_controlnet_aux/diffusion_edge/denoising_diffusion_pytorch/imagenet.py:48

↓ 1 callersMethod_filter_relpaths

(self, relpaths)

src/custom_controlnet_aux/diffusion_edge/taming/data/imagenet.py:60

↓ 1 callersFunction_find_free_port

()

src/custom_controlnet_aux/metric3d/mono/utils/comm.py:39

↓ 1 callersFunction_fix_aspect_ratio

Extend the scale to match the given aspect ratio. Args: scale (np.ndarray): The image scale (w, h) in shape (2, ) aspect_ratio (f

src/custom_controlnet_aux/dwpose/dw_torchscript/jit_pose.py:153

↓ 1 callersFunction_fix_aspect_ratio

Extend the scale to match the given aspect ratio. Args: scale (np.ndarray): The image scale (w, h) in shape (2, ) aspect_ratio (f

src/custom_controlnet_aux/dwpose/dw_onnx/cv_ox_pose.py:154

↓ 1 callersMethod_forward_impl

(self, x)

src/custom_controlnet_aux/mlsd/models/mbv2_mlsd_tiny.py:218

↓ 1 callersMethod_forward_impl

(self, x)

src/custom_controlnet_aux/mlsd/models/mbv2_mlsd_large.py:218

↓ 1 callersMethod_forward_impl

(self, x)

src/custom_controlnet_aux/leres/leres/Resnext_torch.py:196

↓ 1 callersMethod_forward_impl

(self, x: Tensor)

src/custom_controlnet_aux/diffusion_edge/denoising_diffusion_pytorch/efficientnet.py:355

↓ 1 callersMethod_forward_impl

(self, x: Tensor)

src/custom_controlnet_aux/diffusion_edge/denoising_diffusion_pytorch/resnet.py:266

↓ 1 callersMethod_freeze_stages

(self)

src/custom_mmpkg/custom_mmseg/models/backbones/mobilenet_v3.py:242

↓ 1 callersMethod_freeze_stages

(self)

src/custom_mmpkg/custom_mmseg/models/backbones/mobilenet_v2.py:164

↓ 1 callersFunction_fuse_conv_bn

Fuse conv and bn into one module. Args: conv (nn.Module): Conv to be fused. bn (nn.Module): BN to be fused. Returns:

src/custom_mmpkg/custom_mmcv/cnn/utils/fuse_conv_bn.py:6

↓ 1 callersMethod_generate_detectron2_style_palette

Generate professional color palette with good visual separation.

src/custom_controlnet_aux/oneformer/transformers.py:111

↓ 1 callersMethod_generate_masks

(self, image: np.ndarray)

src/custom_controlnet_aux/sam/automatic_mask_generator.py:197

↓ 1 callersMethod_generate_professional_colormap

Generate professional colormap for segmentation visualization.

src/custom_controlnet_aux/oneformer/transformers.py:96

↓ 1 callersMethod_get_batch_size

Gets the batch size of the output given the batch size of the input prompts.

src/custom_controlnet_aux/sam/modeling/prompt_encoder.py:107

↓ 1 callersMethod_get_checkpoint_loader

Finds a loader that supports the given path. Falls back to the local loader if no other loader is found. Args: path (str)

src/custom_mmpkg/custom_mmcv/runner/checkpoint.py:211

↓ 1 callersFunction_get_conv

()

src/custom_mmpkg/custom_mmcv/utils/parrots_wrapper.py:41

↓ 1 callersFunction_get_cuda_home

()

src/custom_mmpkg/custom_mmcv/utils/parrots_wrapper.py:21

↓ 1 callersFunction_get_dataloader

()

src/custom_mmpkg/custom_mmcv/utils/parrots_wrapper.py:49

↓ 1 callersMethod_get_device

(self)

src/custom_controlnet_aux/sam/modeling/prompt_encoder.py:125

↓ 1 callersFunction_get_extension

()

src/custom_mmpkg/custom_mmcv/utils/parrots_wrapper.py:58

↓ 1 callersMethod_get_init_info

(self)

src/custom_mmpkg/custom_mmcv/cnn/utils/weight_init.py:194

↓ 1 callersMethod_get_init_info

(self)

src/custom_mmpkg/custom_mmcv/cnn/utils/weight_init.py:237

↓ 1 callersMethod_get_init_info

(self)

src/custom_mmpkg/custom_mmcv/cnn/utils/weight_init.py:280

↓ 1 callersMethod_get_init_info

(self)

src/custom_mmpkg/custom_mmcv/cnn/utils/weight_init.py:335

↓ 1 callersMethod_get_init_info

(self)

src/custom_mmpkg/custom_mmcv/cnn/utils/weight_init.py:378

↓ 1 callersMethod_get_init_info

(self)

src/custom_mmpkg/custom_mmcv/cnn/utils/weight_init.py:440

↓ 1 callersMethod_get_init_info

(self)

src/custom_mmpkg/custom_mmcv/cnn/utils/weight_init.py:506

↓ 1 callersMethod_get_intermediate_layers_chunked

(self, x, n=1)

src/custom_controlnet_aux/depth_anything_v2/dinov2.py:283

↓ 1 callersMethod_get_intermediate_layers_chunked

(self, x, n=1)

src/custom_controlnet_aux/metric3d/mono/model/backbones/ViT_DINO.py:791

↓ 1 callersMethod_get_intermediate_layers_chunked

(self, x, n=1)

src/custom_controlnet_aux/metric3d/mono/model/backbones/ViT_DINO.py:1264

↓ 1 callersMethod_get_intermediate_layers_chunked

(self, x, n=1)

src/custom_controlnet_aux/metric3d/mono/model/backbones/ViT_DINO_reg.py:1035

↓ 1 callersMethod_get_intermediate_layers_not_chunked

(self, x, n=1)

src/custom_controlnet_aux/depth_anything_v2/dinov2.py:271

↓ 1 callersMethod_get_intermediate_layers_not_chunked

(self, x, n=1)

src/custom_controlnet_aux/metric3d/mono/model/backbones/ViT_DINO.py:779

↓ 1 callersMethod_get_intermediate_layers_not_chunked

(self, x, n=1)

src/custom_controlnet_aux/metric3d/mono/model/backbones/ViT_DINO.py:1252

↓ 1 callersMethod_get_intermediate_layers_not_chunked

(self, x, n=1)

src/custom_controlnet_aux/metric3d/mono/model/backbones/ViT_DINO_reg.py:1023

↓ 1 callersMethod_get_max_memory

(self, runner)

src/custom_mmpkg/custom_mmcv/runner/hooks/logger/text.py:109

↓ 1 callersFunction_get_norm

()

src/custom_mmpkg/custom_mmcv/utils/parrots_wrapper.py:81

↓ 1 callersFunction_get_pool

()

src/custom_mmpkg/custom_mmcv/utils/parrots_wrapper.py:69

↓ 1 callersMethod_get_scale_ratio

(self, intrinsic)

src/custom_controlnet_aux/metric3d/mono/utils/transform.py:119

↓ 1 callersFunction_get_shear_matrix

Generate the shear matrix for transformation. Args: magnitude (int | float): The magnitude used for shear. direction (str): The f

src/custom_mmpkg/custom_mmcv/image/geometric.py:593

↓ 1 callersFunction_get_translate_matrix

Generate the translate matrix. Args: offset (int | float): The offset used for translate. direction (str): The translate directio

src/custom_mmpkg/custom_mmcv/image/geometric.py:662

↓ 1 callersMethod_has_inf_or_nan

Check if params contain NaN.

src/custom_mmpkg/custom_mmcv/runner/fp16_utils.py:358

↓ 1 callersMethod_inference

(self, img)

src/custom_controlnet_aux/uniformer/__init__.py:34

↓ 1 callersMethod_initFilter

(self)

src/custom_controlnet_aux/tile/guided_filter.py:165

↓ 1 callersMethod_initFilter

(self)

src/custom_controlnet_aux/tile/guided_filter.py:204

↓ 1 callersMethod_init_auxiliary_head

Initialize ``auxiliary_head``

src/custom_mmpkg/custom_mmseg/models/segmentors/encoder_decoder.py:49

↓ 1 callersMethod_init_decode_head

Initialize ``decode_head``

src/custom_mmpkg/custom_mmseg/models/segmentors/encoder_decoder.py:43

↓ 1 callersFunction_init_dist_mpi

(backend, **kwargs)

src/custom_mmpkg/custom_mmcv/runner/dist_utils.py:35

↓ 1 callersFunction_init_dist_mpi

(backend, **kwargs)

src/custom_controlnet_aux/unimatch/utils/dist_utils.py:33

↓ 1 callersFunction_init_dist_pytorch

(backend, **kwargs)

src/custom_mmpkg/custom_mmcv/runner/dist_utils.py:27

↓ 1 callersFunction_init_dist_pytorch

(backend, **kwargs)

src/custom_controlnet_aux/unimatch/utils/dist_utils.py:25

↓ 1 callersFunction_init_dist_ror

(cfg)

src/custom_controlnet_aux/metric3d/mono/utils/comm.py:87

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