Functions — github.com/HVision-NKU/DepthAnythingAC

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Functions579 in github.com/HVision-NKU/DepthAnythingAC

⨍ Functions 579◇ Types & classes 98

↓ 1 callersFunctionscale_lr

(learning_rates, batch_size)

torchhub/facebookresearch_dinov2_main/dinov2/eval/linear.py:232

↓ 1 callersMethodset_epoch

(self, epoch)

torchhub/facebookresearch_dinov2_main/dinov2/data/samplers.py:52

↓ 1 callersFunctionsetup_linear_classifiers

(sample_output, n_last_blocks_list, learning_rates, batch_size, num_classes=1000)

torchhub/facebookresearch_dinov2_main/dinov2/eval/linear.py:236

↓ 1 callersFunctionsweep_C_values

( *, train_features, train_labels, test_data_loader, metric_type, num_classes, tra

torchhub/facebookresearch_dinov2_main/dinov2/eval/log_regression.py:188

↓ 1 callersMethodtag_last_checkpoint

Tag the last checkpoint. Args: last_filename_basename (str): the basename of the last filename.

torchhub/facebookresearch_dinov2_main/dinov2/fsdp/__init__.py:144

↓ 1 callersFunctiontest_on_datasets

( feature_model, linear_classifiers, test_dataset_strs, batch_size, num_workers, test_

torchhub/facebookresearch_dinov2_main/dinov2/eval/linear.py:430

↓ 1 callersFunctiontrain_and_evaluate

( *, C, max_iter, train_features, train_labels, logreg_metric, test_data_loader,

torchhub/facebookresearch_dinov2_main/dinov2/eval/log_regression.py:160

↓ 1 callersMethodupdate

(self, val, num=1)

util/utils.py:69

↓ 1 callersMethodupdate_teacher

(self, m)

torchhub/facebookresearch_dinov2_main/dinov2/train/ssl_meta_arch.py:359

↓ 1 callersFunctionwrite_config

(cfg, output_dir, name="config.yaml")

torchhub/facebookresearch_dinov2_main/dinov2/utils/config.py:33

FunctionDINOv2

(model_name)

depth_anything/dinov2.py:398

Method__call__

Transform predicted disparity to aligned depth using optimal scale and shift. This method converts disparity predictions to

evaluate_depth.py:219

Method__call__

(self, sample)

dataset/transform.py:125

Method__call__

(self, sample)

dataset/transform.py:171

Method__call__

(self, sample)

dataset/transform.py:184

Method__call__

(self, img)

dataset/transform.py:510

Method__call__

(self, num_masking_patches=0)

torchhub/facebookresearch_dinov2_main/dinov2/data/masking.py:74

Method__call__

Args: pic (PIL Image, numpy.ndarray or torch.tensor): Image to be converted to tensor. Returns: Tensor: Conve

torchhub/facebookresearch_dinov2_main/dinov2/data/transforms.py:30

Method__call__

(self, image)

torchhub/facebookresearch_dinov2_main/dinov2/data/augmentations.py:97

Method__call__

(self)

torchhub/facebookresearch_dinov2_main/dinov2/run/eval/linear.py:23

Method__call__

(self)

torchhub/facebookresearch_dinov2_main/dinov2/run/eval/log_regression.py:23

Method__call__

(self)

torchhub/facebookresearch_dinov2_main/dinov2/run/eval/knn.py:23

Method__call__

(self)

torchhub/facebookresearch_dinov2_main/dinov2/run/train/train.py:23

Method__call__

(self, sample)

depth_anything/util/transform.py:168

Method__call__

(self, sample)

depth_anything/util/transform.py:211

Method__call__

(self, sample)

depth_anything/util/transform.py:224

Method__getattr__

(self, attr)

torchhub/facebookresearch_dinov2_main/dinov2/logging/helpers.py:34

Method__getitem__

(self, item)

dataset/semi_depth.py:82

Method__getitem__

(self, it)

torchhub/facebookresearch_dinov2_main/dinov2/utils/utils.py:84

Method__getitem__

(self, index: int)

torchhub/facebookresearch_dinov2_main/dinov2/data/adapters.py:23

Method__getitem__

(self, index: int)

torchhub/facebookresearch_dinov2_main/dinov2/data/datasets/extended.py:24

Method__getitem__

(self, index: int)

torchhub/facebookresearch_dinov2_main/dinov2/data/datasets/image_net_22k.py:235

(self, threshold=1.25, depth_cap=10)

evaluate_depth.py:178

Method__init__

Init. Args: width (int): desired output width height (int): desired output height resize_target (bool, op

dataset/transform.py:15

Method__init__

(self, mean, std)

dataset/transform.py:167

Method__init__

(self)

dataset/transform.py:181

Method__init__

(self, num_augs=4, flag_using_random_num=True)

dataset/transform.py:505

Method__init__

(self, name, root, mode, size=None, id_path=None, nsample=None,argu_mode="robo_depth",cfg=None)

dataset/semi_depth.py:59

Method__init__

(self, multiple)

torchhub/facebookresearch_dinov2_main/utils.py:24

Method__init__

Args: img_size (int, tuple): input image size patch_size (int, tuple): patch size in_chans (int): number

torchhub/facebookresearch_dinov2_main/vision_transformer.py:45

Method__init__

(self, base_value, final_value, total_iters, warmup_iters=0, start_warmup_value=0, freeze_iters=0)

torchhub/facebookresearch_dinov2_main/dinov2/utils/utils.py:69

Method__init__

(self, delimiter="\t", output_file=None)

torchhub/facebookresearch_dinov2_main/dinov2/logging/helpers.py:22

Method__init__

(self, window_size=20, fmt=None)

torchhub/facebookresearch_dinov2_main/dinov2/logging/helpers.py:139

Method__init__

(self)

torchhub/facebookresearch_dinov2_main/dinov2/distributed/__init__.py:153

Method__init__

( self, input_size, num_masking_patches=None, min_num_patches=4, max_n

torchhub/facebookresearch_dinov2_main/dinov2/data/masking.py:13

Method__init__

( self, *, size: int, sample_count: int, shuffle: bool = False,

torchhub/facebookresearch_dinov2_main/dinov2/data/samplers.py:19

Method__init__

( self, *, sample_count: int, shuffle: bool = False, seed: int = 0,

torchhub/facebookresearch_dinov2_main/dinov2/data/samplers.py:80

Method__init__

( self, *, sample_count: int, shuffle: bool = False, seed: int = 0,

torchhub/facebookresearch_dinov2_main/dinov2/data/samplers.py:167

Method__init__

(self, *, p: float = 0.5, radius_min: float = 0.1, radius_max: float = 2.0)

torchhub/facebookresearch_dinov2_main/dinov2/data/transforms.py:18

Method__init__

(self, dataset)

torchhub/facebookresearch_dinov2_main/dinov2/data/adapters.py:13

Method__init__

( self, global_crops_scale, local_crops_scale, local_crops_number, glo

torchhub/facebookresearch_dinov2_main/dinov2/data/augmentations.py:21

Method__init__

(self, *args, **kwargs)

torchhub/facebookresearch_dinov2_main/dinov2/data/datasets/extended.py:15

Method__init__

( self, *, root: str, extra: str, transforms: Optional[Callable] = Non

torchhub/facebookresearch_dinov2_main/dinov2/data/datasets/image_net_22k.py:102

Method__init__

(self, image_data: bytes)

torchhub/facebookresearch_dinov2_main/dinov2/data/datasets/decoders.py:19

Method__init__

(self, target: Any)

torchhub/facebookresearch_dinov2_main/dinov2/data/datasets/decoders.py:28

Method__init__

( self, *, split: "ImageNet.Split", root: str, extra: str, tra

torchhub/facebookresearch_dinov2_main/dinov2/data/datasets/image_net.py:60

Method__init__

(self, out_dim, use_n_blocks, use_avgpool, num_classes=1000)

torchhub/facebookresearch_dinov2_main/dinov2/eval/linear.py:190

Method__init__

(self, linear_classifier, class_mapping=None)

torchhub/facebookresearch_dinov2_main/dinov2/eval/linear.py:219

Method__init__

( self, C, max_iter=DEFAULT_MAX_ITER, dtype=torch.float64, device=_CPU

torchhub/facebookresearch_dinov2_main/dinov2/eval/log_regression.py:111

Method__init__

(self, feature_model, n_last_blocks, autocast_ctx)

torchhub/facebookresearch_dinov2_main/dinov2/eval/utils.py:32

Method__init__

( self, num_classes: int, top_k: int = 1, **kwargs: Any, )

torchhub/facebookresearch_dinov2_main/dinov2/eval/metrics.py:77

Method__init__

(self, keys)

torchhub/facebookresearch_dinov2_main/dinov2/eval/knn.py:189

Method__init__

(self, drop_prob=None)

torchhub/facebookresearch_dinov2_main/dinov2/layers/drop_path.py:30

Method__init__

( self, dim: int, num_heads: int, mlp_ratio: float = 4.0, qkv_bias: bo

torchhub/facebookresearch_dinov2_main/dinov2/layers/block.py:37

Method__init__

( self, in_dim, out_dim, use_bn=False, nlayers=3, hidden_dim=2

torchhub/facebookresearch_dinov2_main/dinov2/layers/dino_head.py:14

Method__init__

( self, dim: int, init_values: Union[float, Tensor] = 1e-5, inplace: bool = Fa

torchhub/facebookresearch_dinov2_main/dinov2/layers/layer_scale.py:17

Method__init__

( self, dim: int, num_heads: int = 8, qkv_bias: bool = False, proj_bia

torchhub/facebookresearch_dinov2_main/dinov2/layers/attention.py:30

Method__init__

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

torchhub/facebookresearch_dinov2_main/dinov2/layers/mlp.py:18

Method__init__

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

torchhub/facebookresearch_dinov2_main/dinov2/layers/swiglu_ffn.py:46

Method__init__

( self, img_size: Union[int, Tuple[int, int]] = 224, patch_size: Union[int, Tuple[int,

torchhub/facebookresearch_dinov2_main/dinov2/layers/patch_embed.py:38

Method__init__

Args: img_size (int, tuple): input image size patch_size (int, tuple): patch size in_chans (int): number

torchhub/facebookresearch_dinov2_main/dinov2/models/vision_transformer.py:46

Method__init__

(self)

torchhub/facebookresearch_dinov2_main/dinov2/loss/koleo_loss.py:22

Method__init__

(self, patch_out_dim, student_temp=0.1, center_momentum=0.9)

torchhub/facebookresearch_dinov2_main/dinov2/loss/ibot_patch_loss.py:36

Method__init__

( self, out_dim, student_temp=0.1, center_momentum=0.9, )

torchhub/facebookresearch_dinov2_main/dinov2/loss/dino_clstoken_loss.py:14

Method__init__

(self, cfg)

torchhub/facebookresearch_dinov2_main/dinov2/train/ssl_meta_arch.py:35

Method__init__

(self, args)

torchhub/facebookresearch_dinov2_main/dinov2/run/eval/linear.py:20

Method__init__

(self, args)

torchhub/facebookresearch_dinov2_main/dinov2/run/eval/log_regression.py:20

Method__init__

(self, args)

torchhub/facebookresearch_dinov2_main/dinov2/run/eval/knn.py:20

Method__init__

(self, args)

torchhub/facebookresearch_dinov2_main/dinov2/run/train/train.py:20

Method__init__

(self, encoder='vitl', features=256, out_channels=[256, 512, 1024, 1024], use_bn=False, use_clstoken=False, lo

depth_anything/dpt.py:144

Method__init__

(self, config)

depth_anything/dpt.py:188

Method__init__

Args: img_size (int, tuple): input image size patch_size (int, tuple): patch size in_chans (int): number

depth_anything/dinov2.py:45

Method__init__

(self, encoder='vitl', features=256, out_channels=[256, 512, 1024, 1024], use_bn=False, use_clstoken=False, lo

depth_anything/dpt_teacher.py:139

Method__init__

(self, config)

depth_anything/dpt_teacher.py:169

Method__init__

Init. Args: width (int): desired output width height (int): desired output height resize_target (bool, op

depth_anything/util/transform.py:58

Method__init__

(self, mean, std)

depth_anything/util/transform.py:207

Method__init__

(self)

depth_anything/util/transform.py:221

Method__init__

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

depth_anything/util/blocksv1.py:99

Method__init__

(self,weight=[0.5,0.5])

depth_anything/util/priorgenerate.py:10

Method__init__

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

depth_anything/util/blocksv2.py:87

Method__init__

(self, drop_prob=None)

depth_anything/dinov2_layers/drop_path.py:30

Method__init__

( self, dim: int, num_heads: int, mlp_ratio: float = 4.0, qkv_bias: bo

depth_anything/dinov2_layers/block.py:37

Method__init__

( self, dim: int, init_values: Union[float, Tensor] = 1e-5, inplace: bool = Fa

depth_anything/dinov2_layers/layer_scale.py:17

Method__init__

( self, dim: int, num_heads: int = 8, qkv_bias: bool = False, proj_bia

depth_anything/dinov2_layers/attention.py:30

Method__init__

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

depth_anything/dinov2_layers/mlp.py:18

Method__init__

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

depth_anything/dinov2_layers/swiglu_ffn.py:46

Method__init__

( self, img_size: Union[int, Tuple[int, int]] = 224, patch_size: Union[int, Tuple[int,

depth_anything/dinov2_layers/patch_embed.py:38

Method__init__

(self)

losses/depth_anything_loss.py:7

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