Functions — github.com/KIMGEONUNG/VideoFrom3D

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Functions1,203 in github.com/KIMGEONUNG/VideoFrom3D

⨍ Functions 1,203◇ Types & classes 228

↓ 2 callersMethodToTensor

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/ros/midas_cpp/src/main.cpp:45

↓ 2 callersMethod__init__

(self)

src/flux/annotator/hed/__init__.py:58

↓ 2 callersFunction_cached_arange

(length, device, dtype)

training_ggi/noise_warp.py:207

↓ 2 callersMethod_computeCoefficients

(self, p)

src/flux/annotator/tile/guided_filter.py:171

↓ 2 callersMethod_computeOutput

(self, ab, I)

src/flux/annotator/tile/guided_filter.py:181

↓ 2 callersFunction_downSample

(I, scale=4, shape=None)

src/flux/annotator/tile/guided_filter.py:33

↓ 2 callersMethod_filterGray

(self, p_sub, shape_original)

src/flux/annotator/tile/guided_filter.py:93

↓ 2 callersMethod_filterGray

(self, p)

src/flux/annotator/tile/guided_filter.py:142

↓ 2 callersFunction_get_3rd_point

To calculate the affine matrix, three pairs of points are required. This function is used to get the 3rd point, given 2D points a & b. The 3r

src/flux/annotator/dwpose/onnxpose.py:182

↓ 2 callersMethod_get_t5_prompt_embeds

( self, prompt: Union[str, List[str]] = None, num_videos_per_prompt: int = 1,

mypipes/pipe_nointp_control.py:261

↓ 2 callersMethod_get_t5_prompt_embeds

( self, prompt: Union[str, List[str]] = None, num_videos_per_prompt: int = 1,

mypipes/pipe_intp2.py:219

↓ 2 callersMethod_get_t5_prompt_embeds

( self, prompt: Union[str, List[str]] = None, num_videos_per_prompt: int = 1,

mypipes/pipe_nointp.py:219

↓ 2 callersFunction_make_vit_b16_backbone

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

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/vit.py:75

↓ 2 callersMethod_preprocess_image

(self, image)

training_ggi/raft.py:25

↓ 2 callersFunctionapp

()

src/flux/cli.py:249

↓ 2 callersFunctionblend_noise

Variance-preserving blend

ggi.py:41

↓ 2 callersFunctionblend_noise

Variance-preserving blend

assets/mk_noise.py:401

↓ 2 callersFunctionblend_noise

Variance-preserving blend

training_ggi/exps/T073-000.py:81

↓ 2 callersMethodbuild_from_config

(config)

src/flux/annotator/zoe/zoedepth/models/base_models/midas.py:352

↓ 2 callersFunctioncalculate_wave_pattern

(h, w, frame)

training_ggi/noise_warp.py:164

↓ 2 callersFunctionchange_dataset

(config, new_dataset)

src/flux/annotator/zoe/zoedepth/utils/config.py:435

↓ 2 callersFunctioncheck_outside_inside

(segments_info, connect_idx)

src/flux/annotator/mlsd/utils.py:406

↓ 2 callersMethodchooseOptimalSize

Given {@code choices} of {@code Size}s supported by a camera, chooses the smallest one whose width and height are at least as large as the minimum of

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraConnectionFragment.java:215

↓ 2 callersFunctioncolorize

Converts a depth map to a color image. Args: value (torch.Tensor, numpy.ndarry): Input depth map. Shape: (H, W) or (1, H, W) or (1, 1, H,

src/flux/annotator/zoe/zoedepth/utils/misc.py:97

↓ 2 callersFunctioncompute_metrics

Compute metrics of predicted depth maps. Applies cropping and masking as necessary or specified via arguments. Refer to compute_errors for more detail

src/flux/annotator/zoe/zoedepth/utils/misc.py:202

↓ 2 callersMethodconfigureTransform

Configures the necessary {@link Matrix} transformation to `mTextureView`. This method should be called after the camera preview size is determined in

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraConnectionFragment.java:503

↓ 2 callersFunctioncreate_side_by_side

Take an RGB image and depth map and place them side by side. This includes a proper normalization of the depth map for better visibility.

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/run.py:77

↓ 2 callersFunctioncrop_images

Crops the images according to the crop parameters. Args: images: RGB or depth images, shape (H, W, 3) or (H, W). crop_params: Cro

src/flux/annotator/zoe/zoedepth/data/preprocess.py:124

↓ 2 callersFunctiondeccode_output_score_and_ptss

tpMap: center: tpMap[1, 0, :, :] displacement: tpMap[1, 1:5, :, :]

src/flux/annotator/mlsd/utils.py:19

↓ 2 callersFunctiondetect_model_format

(path, ext)

colmap.py:463

↓ 2 callersFunctiondetect_model_format

(path, ext)

training_ggi/colmap.py:463

↓ 2 callersFunctiondownscale_noise

(noise, downscale_factor=32)

assets/mk_noise.py:516

↓ 2 callersFunctiondownscale_noise

(noise)

training_ggi/noise_warp.py:1076

↓ 2 callersFunctiondownscale_noise

(noise, downscale_factor=32)

training_ggi/exps/T073-000.py:97

↓ 2 callersFunctionencode_prompt

( tokenizer: T5Tokenizer, text_encoder: T5EncoderModel, prompt: Union[str, List[str]], num_vid

training_ggi/text_encoder/text_encoder.py:45

↓ 2 callersMethodfilter

(self, p)

src/flux/annotator/tile/guided_filter.py:115

↓ 2 callersFunctionforward_adapted_unflatten

(pretrained, x, function_name="forward_features")

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/utils.py:83

↓ 2 callersFunctionforward_default

(pretrained, x, function_name="forward_features")

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/utils.py:63

↓ 2 callersMethodgetDesiredPreviewFrameSize

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:681

↓ 2 callersMethodgetDevice

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:647

↓ 2 callersMethodgetId

()

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:158

↓ 2 callersMethodgetLayoutId

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:679

↓ 2 callersMethodgetModel

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:635

↓ 2 callersMethodgetModelPath

Gets the name of the model file stored in Assets.

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/lib_task_api/src/main/java/org/tensorflow/lite/examples/classification/tflite/Classifier.java:277

↓ 2 callersMethodgetNumThreads

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:663

↓ 2 callersFunctionget_black_border

Crops the black border of the RGB. Args: rgb: RGB image, shape (H, W, 3). Returns: Crop parameters.

src/flux/annotator/zoe/zoedepth/data/preprocess.py:100

↓ 2 callersFunctionget_border_params

(rgb_image, tolerance=0.1, cut_off=20, value=0, level_diff_threshold=5, channel_axis=-1, min_border=5)

src/flux/annotator/zoe/zoedepth/data/preprocess.py:39

↓ 2 callersMethodget_conf_parameters

Returns parameters of all the ModuleDicts children that are exclusively used for the given bin configuration

src/flux/annotator/zoe/zoedepth/models/zoedepth_nk/zoedepth_nk_v1.py:285

↓ 2 callersFunctionget_gradient_norm

(parameters)

training_ggi/utils.py:165

↓ 2 callersMethodget_image_proj

( self, image_prompt: Tensor, )

src/flux/my_xflux_pipeline.py:160

↓ 2 callersFunctionget_readout_oper

(vit_features, features, use_readout, start_index=1)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/utils.py:127

↓ 2 callersFunctionget_readout_oper

(vit_features, features, use_readout, start_index=1)

src/flux/annotator/midas/midas/vit.py:166

↓ 2 callersMethodget_value

(self)

src/flux/annotator/zoe/zoedepth/utils/misc.py:91

↓ 2 callersFunctionget_vkitti2_loader

(data_dir_root, batch_size=1, **kwargs)

src/flux/annotator/zoe/zoedepth/data/vkitti2.py:172

↓ 2 callersFunctionget_vkitti_loader

(data_dir_root, batch_size=1, **kwargs)

src/flux/annotator/zoe/zoedepth/data/vkitti.py:136

↓ 2 callersFunctionget_white_border

Crops the white border of the RGB. Args: rgb: RGB image, shape (H, W, 3). Returns: Crop parameters.

src/flux/annotator/zoe/zoedepth/data/preprocess.py:82

↓ 2 callersFunctiongrad

(x)

src/flux/annotator/zoe/zoedepth/trainers/loss.py:96

↓ 2 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

assets/mk_noise.py:17

↓ 2 callersMethodinfer

Inference interface for the model Args: x (torch.Tensor): input tensor of shape (b, c, h, w) pad_input (bool,

src/flux/annotator/zoe/zoedepth/models/depth_model.py:115

↓ 2 callersFunctioninfer_type

(x)

src/flux/annotator/zoe/zoedepth/utils/arg_utils.py:3

↓ 2 callersFunctionload_flow_model_quintized

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

src/flux/util.py:330

↓ 2 callersFunctionload_state_dict

Load state_dict into model, handling DataParallel and DistributedDataParallel. Also checks for "model" key in state_dict. DataParallel prefixes s

src/flux/annotator/zoe/zoedepth/models/model_io.py:27

↓ 2 callersFunctionload_state_from_resource

Loads weights to the model from a given resource. A resource can be of following types: 1. URL. Prefixed with "url::" e.g. url

src/flux/annotator/zoe/zoedepth/models/model_io.py:64

↓ 2 callersFunctionload_wts

(model, checkpoint_path)

src/flux/annotator/zoe/zoedepth/models/model_io.py:54

↓ 2 callersFunctionmake_backbone_default

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

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/utils.py:144

↓ 2 callersFunctionmix_new_noise

As alpha --> 1, noise is destroyed

assets/mk_noise.py:407

↓ 2 callersFunctionmix_new_noise

As alpha --> 1, noise is destroyed

training_ggi/noise_warp.py:801

↓ 2 callersMethodnewInstance

( final ConnectionCallback callback, final OnImageAvailableListener imageListener, final int

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraConnectionFragment.java:256

↓ 2 callersFunctionnormalize_input

( item, mean=[0.5, 0.5, 0.5], # Imagenet [0.485, 0.456, 0.406] std=[0.5, 0.5, 0.5],

training_ggi/mydataset_depthhed_mask.py:65

↓ 2 callersMethodonPreviewSizeChosen

(Size size, int cameraRotation)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraConnectionFragment.java:534

↓ 2 callersMethodopenCamera

Opens the camera specified by {@link CameraConnectionFragment#cameraId}.

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraConnectionFragment.java:367

↓ 2 callersFunctionpad64

(x)

src/flux/util.py:67

↓ 2 callersFunctionparse_prompt

(options: SamplingOptions)

src/flux/cli.py:29

↓ 2 callersFunctionprocess

Run the inference and interpolate. Args: device (torch.device): the torch device used model: the model used for inference

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/run.py:17

↓ 2 callersMethodprocessImage

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:675

↓ 2 callersMethodquantize_depth

(self, depth)

src/flux/annotator/zoe/zoedepth/trainers/loss.py:198

↓ 2 callersFunctionqvec2rotmat

(qvec)

colmap.py:507

↓ 2 callersFunctionqvec2rotmat

(qvec)

training_ggi/colmap.py:507

↓ 2 callersMethodrecognizeImage

(final Bitmap bitmap, int sensorOrientation)

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:252

↓ 2 callersMethodrecreateClassifier

(Model model, Device device, int numThreads)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/ClassifierActivity.java:206

↓ 2 callersFunctionregaussianize

(noise)

assets/mk_noise.py:146

↓ 2 callersMethodrequest

Request to generate the image.

src/flux/api.py:101

↓ 2 callersMethodrequestPermission

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:410

↓ 2 callersFunctionresize_frame

(frame, target_height=64)

training_ggi/noise_warp.py:408

↓ 2 callersFunctionretrieve_latents

(encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None,

mypipes/pipe_nointp_control.py:189

↓ 2 callersFunctionretrieve_latents

(encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None,

mypipes/pipe_intp2.py:147

↓ 2 callersFunctionretrieve_latents

(encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None,

mypipes/pipe_nointp.py:147

↓ 2 callersMethodrotate_image

(self, image, angle, flag=Image.BILINEAR)

src/flux/annotator/zoe/zoedepth/data/data_mono.py:440

↓ 2 callersMethodrunInBackground

(final Runnable r)

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:374

↓ 2 callersFunctionsafer_memory

(x)

src/flux/util.py:88

↓ 2 callersMethodsetFragment

()

src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:470

↓ 2 callersMethodset_controlnet

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

src/flux/my_xflux_pipeline.py:147

↓ 2 callersMethodset_ip

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

src/flux/my_xflux_pipeline.py:68

↓ 2 callersMethodshould_early_stop

(self)

src/flux/annotator/zoe/zoedepth/trainers/base_trainer.py:138

↓ 2 callersFunctionstarfield_zoom

(h, w, frame)

training_ggi/noise_warp.py:185

↓ 2 callersFunctionsum_indexed_values

Sum the values in the CHW image tensor based on the indices specified in the HW index matrix. Args: image (torch.Tensor): Image tens

training_ggi/noise_warp.py:58

↓ 2 callersFunctionto8U

(img)

src/flux/annotator/tile/guided_filter.py:20

↓ 2 callersMethodto_tensor

(self, pic)

src/flux/annotator/zoe/zoedepth/data/vkitti.py:52

↓ 2 callersMethodto_tensor

(self, pic)

src/flux/annotator/zoe/zoedepth/data/vkitti2.py:53

↓ 2 callersMethodto_tensor

(self, pic)

src/flux/annotator/zoe/zoedepth/data/diode.py:51

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