Functions — github.com/KIMGEONUNG/VideoFrom3D

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Functions1,203 in github.com/KIMGEONUNG/VideoFrom3D

⨍ Functions 1,203◇ Types & classes 228

↓ 205 callersMethodto

(self, device)

src/flux/annotator/zoe/zoedepth/models/depth_model.py:40

↓ 106 callersMethodappend

(self, value)

src/flux/annotator/zoe/zoedepth/utils/misc.py:52

↓ 42 callersMethodopen

(self, fpath)

src/flux/annotator/zoe/zoedepth/data/data_mono.py:266

↓ 28 callersMethodencode

(self, x: Tensor)

src/flux/modules/autoencoder.py:302

↓ 23 callersMethodupdate

(self, new_dict)

src/flux/annotator/zoe/zoedepth/utils/misc.py:79

↓ 19 callersMethodload

Load model from file. Args: path (str): file path

src/flux/annotator/midas/midas/base_model.py:5

↓ 19 callersFunctionwrite_next_bytes

pack and write to a binary file. :param fid: :param data: data to send, if multiple elements are sent at the same time, they should be enc

colmap.py:89

↓ 19 callersFunctionwrite_next_bytes

pack and write to a binary file. :param fid: :param data: data to send, if multiple elements are sent at the same time, they should be enc

training_ggi/colmap.py:89

↓ 18 callersMethoddecode

(self, z: Tensor)

src/flux/modules/autoencoder.py:307

↓ 17 callersFunctionget_activation

(name)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/utils.py:56

↓ 16 callersMethodpop

(self, k, d=None)

src/flux/annotator/zoe/zoedepth/utils/easydict/__init__.py:151

↓ 15 callersMethod__init__

(self, dim: int)

src/flux/modules/layers.py:76

↓ 15 callersMethodsave

Save the generated image to a local path

src/flux/api.py:179

↓ 14 callersFunction_make_scratch

(in_shape, out_shape, groups=1, expand=False)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py:133

↓ 13 callersMethodload

Load model from file. Args: path (str): file path

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/base_model.py:5

↓ 13 callersFunctionread_next_bytes

Read and unpack the next bytes from a binary file. :param fid: :param num_bytes: Sum of combination of {2, 4, 8}, e.g. 2, 6, 16, 30, etc.

colmap.py:74

↓ 13 callersFunctionread_next_bytes

Read and unpack the next bytes from a binary file. :param fid: :param num_bytes: Sum of combination of {2, 4, 8}, e.g. 2, 6, 16, 30, etc.

training_ggi/colmap.py:74

↓ 11 callersMethodgetConfidence

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/lib_support/src/main/java/org/tensorflow/lite/examples/classification/tflite/Classifier.java:166

↓ 11 callersFunctionload_checkpoint

(local_path, repo_id, name)

src/flux/util.py:40

↓ 10 callersFunctionget_activation

(name)

src/flux/annotator/midas/midas/vit.py:159

↓ 10 callersFunctionprepare

(t5: HFEmbedder, clip: HFEmbedder, img: Tensor, prompt: str | list[str])

src/flux/sampling.py:33

↓ 9 callersMethodclose

Closes the interpreter and model to release resources.

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/lib_support/src/main/java/org/tensorflow/lite/examples/classification/tflite/Classifier.java:284

↓ 9 callersMethodgetTitle

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/lib_support/src/main/java/org/tensorflow/lite/examples/classification/tflite/Classifier.java:162

↓ 8 callersFunctionattention

(q: Tensor, k: Tensor, v: Tensor, pe: Tensor)

src/flux/math.py:6

↓ 7 callersMethod__init__

( self, resolution: int, in_channels: int, ch: int, ch_mult: list[int]

src/flux/modules/autoencoder.py:110

↓ 7 callersMethodrun

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:249

↓ 7 callersMethodset_attn_processor

r""" Sets the attention processor to use to compute attention. Parameters: processor (`dict` of `AttentionProcessor` or o

src/flux/model.py:103

↓ 7 callersMethodtoString

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/lib_support/src/main/java/org/tensorflow/lite/examples/classification/tflite/Classifier.java:178

↓ 7 callersFunctionunwrap_model

(accelerator: Accelerator, model)

training_ggi/utils.py:257

↓ 6 callersMethod__init__

(self, in_c1, in_c2, out_c1, out_c2, upscale = True)

src/flux/annotator/mlsd/models/mbv2_mlsd_tiny.py:10

↓ 6 callersMethod__init__

(self, in_c1, in_c2, out_c1, out_c2, upscale = True)

src/flux/annotator/mlsd/models/mbv2_mlsd_large.py:10

↓ 6 callersMethodbuild

(midas_model_type="DPT_BEiT_L_384", train_midas=False, use_pretrained_midas=True, fetch_features=False, freeze

src/flux/annotator/zoe/zoedepth/models/base_models/midas.py:334

↓ 6 callersMethodconstrain_to_multiple_of

(self, x, min_val=0, max_val=None)

src/flux/annotator/zoe/zoedepth/data/transforms.py:202

↓ 6 callersMethodconstrain_to_multiple_of

(self, x, min_val=0, max_val=None)

src/flux/annotator/zoe/zoedepth/models/base_models/midas.py:101

↓ 6 callersMethodconstrain_to_multiple_of

(self, x, min_val=0, max_val=None)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/tf/transforms.py:94

↓ 6 callersMethodconstrain_to_multiple_of

(self, x, min_val=0, max_val=None)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/transforms.py:94

↓ 6 callersMethodconstrain_to_multiple_of

(self, x, min_val=0, max_val=None)

src/flux/annotator/midas/midas/transforms.py:94

↓ 6 callersFunctionget_activation

(name, bank)

src/flux/annotator/zoe/zoedepth/models/base_models/midas.py:45

↓ 6 callersFunctionremove_leading_slash

(s)

src/flux/annotator/zoe/zoedepth/data/data_mono.py:241

↓ 6 callersFunctionto32F

(img)

src/flux/annotator/tile/guided_filter.py:14

↓ 6 callersFunctionunpack

(x: Tensor, height: int, width: int)

src/flux/sampling.py:374

↓ 5 callersFunction_make_scratch

(in_shape, out_shape, groups=1, expand=False)

src/flux/annotator/midas/midas/blocks.py:49

↓ 5 callersFunctionget_schedule

( num_steps: int, image_seq_len: int, base_shift: float = 0.5, max_shift: float = 1.15, sh

src/flux/sampling.py:81

↓ 5 callersMethodlog_images

(self, rgb: Dict[str, list] = {}, depth: Dict[str, list] = {}, scalar_field: Dict[str, list] = {}, prefix="",

src/flux/annotator/zoe/zoedepth/trainers/base_trainer.py:289

↓ 5 callersMethodset_processor

(self, processor)

src/flux/modules/layers.py:371

↓ 4 callersMethod__init__

Init. Args: scale_factor (float): scaling mode (str): interpolation mode

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py:212

↓ 4 callersMethod__init__

Init. Args: scale_factor (float): scaling mode (str): interpolation mode

src/flux/annotator/midas/midas/blocks.py:124

↓ 4 callersFunction_isGray

(I)

src/flux/annotator/tile/guided_filter.py:26

↓ 4 callersFunction_make_fusion_block

(features, use_bn, size = None)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/dpt_depth.py:18

↓ 4 callersFunction_make_fusion_block

(features, use_bn)

src/flux/annotator/midas/midas/dpt_depth.py:15

↓ 4 callersFunction_make_swin_backbone

( model, hooks=[1, 1, 17, 1], patch_grid=[96, 96] )

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/swin_common.py:13

↓ 4 callersFunction_make_vit_b16_backbone

( model, features=[96, 192, 384, 768], size=[384, 384], hooks=[2, 5, 8, 11], vit_features=

src/flux/annotator/midas/midas/vit.py:183

↓ 4 callersFunctiondenoise

( model: Flux, # model input img: Tensor, img_ids: Tensor, txt: Tensor

src/flux/sampling.py:100

↓ 4 callersMethodget_image_proj

( self, image_prompt: Tensor, )

src/flux/xflux_pipeline.py:159

↓ 4 callersFunctionget_noise

( num_samples: int, height: int, width: int, device: torch.device, dtype: torch.dtype,

src/flux/sampling.py:13

↓ 4 callersFunctionis_above_tolerance

(arr, total_pixels)

src/flux/annotator/zoe/zoedepth/data/preprocess.py:47

↓ 4 callersFunctionis_rank_zero

(args)

src/flux/annotator/zoe/zoedepth/trainers/base_trainer.py:44

↓ 4 callersFunctionload_ae

(name: str, device: str | torch.device = "cuda", hf_download: bool = True)

src/flux/util.py:371

↓ 4 callersFunctionload_clip

(device: str | torch.device = "cuda")

src/flux/util.py:367

↓ 4 callersFunctionload_t5

(device: str | torch.device = "cuda", max_length: int = 512)

src/flux/util.py:363

↓ 4 callersMethodmake_letter_box

(self, sample)

src/flux/annotator/zoe/zoedepth/data/transforms.py:273

↓ 4 callersMethodsave_checkpoint

(self, filename)

src/flux/annotator/zoe/zoedepth/trainers/base_trainer.py:273

↓ 4 callersFunctionswish

(x: Tensor)

src/flux/modules/autoencoder.py:21

↓ 4 callersFunctiontimestep_embedding

Create sinusoidal timestep embeddings. :param t: a 1-D Tensor of N indices, one per batch element. These may be fractio

src/flux/modules/layers.py:28

↓ 3 callersMethod__init__

(self, beta=0.15)

src/flux/annotator/zoe/zoedepth/trainers/loss.py:44

↓ 3 callersMethod__init__

(self, start_index=1)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/utils.py:7

↓ 3 callersMethod__init__

Projector MLP Args: in_features (int): input channels out_features (int): output channels mlp_dim (int, o

src/flux/annotator/zoe/zoedepth/models/layers/localbins_layers.py:100

↓ 3 callersMethod__init__

(self, start_index=1)

src/flux/annotator/midas/midas/vit.py:10

↓ 3 callersMethod_infer_with_pad_aug

Inference interface for the model with padding augmentation Padding augmentation fixes the boundary artifacts in the output depth map

src/flux/annotator/zoe/zoedepth/models/depth_model.py:57

↓ 3 callersFunction_make_beit_backbone

( model, features=[96, 192, 384, 768], size=[384, 384], hooks=[0, 4, 8, 11],

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/beit.py:130

↓ 3 callersFunction_make_divisible

This function is taken from the original tf repo. It ensures that all layers have a channel number that is divisible by 8 It can be seen

src/flux/annotator/mlsd/models/mbv2_mlsd_tiny.py:71

↓ 3 callersFunction_make_divisible

This function is taken from the original tf repo. It ensures that all layers have a channel number that is divisible by 8 It can be seen

src/flux/annotator/mlsd/models/mbv2_mlsd_large.py:72

↓ 3 callersFunction_make_encoder

(backbone, features, use_pretrained, groups=1, expand=False, exportable=True, hooks=None, us

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py:32

↓ 3 callersFunction_make_encoder

(backbone, features, use_pretrained, groups=1, expand=False, exportable=True, hooks=None, use_vit_only=False,

src/flux/annotator/midas/midas/blocks.py:11

↓ 3 callersFunctionblend_noise

Variance-preserving blend

training_ggi/noise_warp.py:797

↓ 3 callersFunctioncheck_choices

(name, value, choices)

src/flux/annotator/zoe/zoedepth/utils/config.py:344

↓ 3 callersMethodcreate

Creates a classifier with the provided configuration. @param activity The current Activity. @param model The model to use for classification. @param

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/lib_support/src/main/java/org/tensorflow/lite/examples/classification/tflite/Classifier.java:116

↓ 3 callersFunctioncrop_to_aspect_ratio

(image, ratio="16:9")

image_datasets/dataset.py:33

↓ 3 callersFunctiondenoise_controlnet

( # ------ paint ------ # self, x_0, x_1, mask, prompt, height, width, # -

src/flux/sampling.py:247

↓ 3 callersMethodeval_infer

(self, x)

src/flux/annotator/zoe/zoedepth/trainers/zoedepth_trainer.py:107

↓ 3 callersFunctionextract_key

(prediction, key)

src/flux/annotator/zoe/zoedepth/trainers/loss.py:35

↓ 3 callersFunctionflatten

(config, except_keys=('bin_conf'))

src/flux/annotator/zoe/zoedepth/utils/config.py:257

↓ 3 callersMethodforward

(self, x)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/dpt_depth.py:110

↓ 3 callersFunctionget_lora_rank

(checkpoint)

src/flux/util.py:35

↓ 3 callersFunctionimage_resize

(img, max_size=512)

image_datasets/dataset.py:12

↓ 3 callersFunctionindexed_to_image

Create a CHW image tensor from an HW index matrix and a UC unique_colors matrix. Args: index_matrix (torch.Tensor): Index matrix ten

training_ggi/noise_warp.py:97

↓ 3 callersFunctionload_controlnet

(name, device, transformer=None)

src/flux/util.py:356

↓ 3 callersFunctionload_flow_model

(name: str, device: str | torch.device = "cuda", hf_download: bool = True)

src/flux/util.py:284

↓ 3 callersMethodonInferenceConfigurationChanged

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:683

↓ 3 callersFunctionpreprocessing_transforms

(mode, **kwargs)

src/flux/annotator/zoe/zoedepth/data/data_mono.py:64

↓ 3 callersFunctionprint_load_warning

(missing: list[str], unexpected: list[str])

src/flux/util.py:269

↓ 3 callersFunctionregaussianize

(noise)

training_ggi/noise_warp.py:297

↓ 3 callersMethodremove_hooks

(self)

src/flux/annotator/zoe/zoedepth/models/base_models/midas.py:322

↓ 3 callersMethodsetAspectRatio

Sets the aspect ratio for this view. The size of the view will be measured based on the ratio calculated from the parameters. Note that the actual siz

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/customview/AutoFitTextureView.java:48

↓ 3 callersMethodsetNumThreads

(int numThreads)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:667

↓ 3 callersMethodset_controlnet

(self, control_type: str, local_path: str = None, repo_id: str = None, name: str = None)

src/flux/xflux_pipeline.py:146

↓ 3 callersMethodset_ip

(self, local_path: str = None, repo_id = None, name: str = None)

src/flux/xflux_pipeline.py:67

↓ 3 callersMethodtrain

(self)

src/flux/annotator/zoe/zoedepth/trainers/base_trainer.py:142

↓ 3 callersFunctionupdate_model_config

(config, mode, model_name, model_version=None, strict=False)

src/flux/annotator/zoe/zoedepth/utils/config.py:334

↓ 2 callersFunctionHWC3

(x)

src/flux/util.py:70

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