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Functions1,051 in github.com/Ground-A-Video/Ground-A-Video

⨍ Functions 1,051◇ Types & classes 244
Method__init__
(self, eps=1e-4)
annotator/zoe/zoedepth/data/transforms.py:413
Method__init__
(self, eps=1e-4)
annotator/zoe/zoedepth/data/transforms.py:435
Method__init__
(self)
annotator/zoe/zoedepth/data/transforms.py:462
Method__init__
(self)
annotator/zoe/zoedepth/data/vkitti2.py:36
Method__init__
(self, data_dir_root, do_kb_crop=True, split="test")
annotator/zoe/zoedepth/data/vkitti2.py:84
Method__init__
(self)
annotator/zoe/zoedepth/data/diode.py:35
Method__init__
(self, data_dir_root)
annotator/zoe/zoedepth/data/diode.py:83
Method__init__
Data loader for depth datasets Args: config (dict): Config dictionary. Refer to utils/config.py mode (str):
annotator/zoe/zoedepth/data/data_mono.py:71
Method__init__
(self, *dataloaders)
annotator/zoe/zoedepth/data/data_mono.py:205
Method__init__
(self, config, mode, device='cpu', **kwargs)
annotator/zoe/zoedepth/data/data_mono.py:217
Method__init__
(self, shared_dict=None)
annotator/zoe/zoedepth/data/data_mono.py:248
Method__init__
(self)
annotator/zoe/zoedepth/data/data_mono.py:262
Method__init__
(self, config, mode, transform=None, is_for_online_eval=False, **kwargs)
annotator/zoe/zoedepth/data/data_mono.py:271
Method__init__
(self, mode, do_normalize=False, size=None)
annotator/zoe/zoedepth/data/data_mono.py:514
Method__init__
(self)
annotator/zoe/zoedepth/data/diml_outdoor_test.py:35
Method__init__
(self, data_dir_root)
annotator/zoe/zoedepth/data/diml_outdoor_test.py:79
Method__init__
(self)
annotator/zoe/zoedepth/data/sun_rgbd_loader.py:35
Method__init__
(self, data_dir_root)
annotator/zoe/zoedepth/data/sun_rgbd_loader.py:79
Method__init__
(self)
annotator/zoe/zoedepth/data/hypersim.py:52
Method__init__
(self, data_dir_root)
annotator/zoe/zoedepth/data/hypersim.py:99
Method__init__
(self, resize_shape)
annotator/zoe/zoedepth/data/ddad.py:35
Method__init__
(self, data_dir_root, resize_shape)
annotator/zoe/zoedepth/data/ddad.py:83
Method__init__
(self, config)
annotator/zoe/zoedepth/data/ibims.py:35
Method__init__
(self)
annotator/zoe/zoedepth/data/diml_indoor_test.py:35
Method__init__
(self, data_dir_root)
annotator/zoe/zoedepth/data/diml_indoor_test.py:82
Method__init__
(self)
annotator/zoe/zoedepth/trainers/loss.py:112
Method__init__
(self, ord_num, beta, discretization="SID")
annotator/zoe/zoedepth/trainers/loss.py:139
Method__init__
(self, min_depth=1e-3, max_depth=10, depth_bins=64)
annotator/zoe/zoedepth/trainers/loss.py:185
Method__init__
(self)
annotator/zoe/zoedepth/trainers/loss.py:282
Method__init__
Base Trainer class for training a model.
annotator/zoe/zoedepth/trainers/base_trainer.py:49
Method__init__
(self, config, model, train_loader, test_loader=None, device=None)
annotator/zoe/zoedepth/trainers/zoedepth_nk_trainer.py:37
Method__init__
(self, config, model, train_loader, test_loader=None, device=None)
annotator/zoe/zoedepth/trainers/zoedepth_trainer.py:40
Method__init__
(self)
annotator/zoe/zoedepth/models/depth_model.py:36
Method__init__
(self, resize_mode="minimal", keep_aspect_ratio=True, img_size=384, do_resize=True)
annotator/zoe/zoedepth/models/base_models/midas.py:177
Method__init__
Midas Base model used for multi-scale feature extraction. Args: midas (torch.nn.Module): Midas model. trainable (bool
annotator/zoe/zoedepth/models/base_models/midas.py:191
Method__init__
Init. Args: width (int): desired output width height (int): desired output height resize_target (bool, op
annotator/zoe/zoedepth/models/base_models/midas_repo/tf/transforms.py:52
Method__init__
(self, mean, std)
annotator/zoe/zoedepth/models/base_models/midas_repo/tf/transforms.py:201
Method__init__
(self)
annotator/zoe/zoedepth/models/base_models/midas_repo/tf/transforms.py:215
Method__init__
(self)
annotator/zoe/zoedepth/models/base_models/midas_repo/ros/midas_cpp/scripts/listener_original.py:16
Method__init__
(self)
annotator/zoe/zoedepth/models/base_models/midas_repo/ros/midas_cpp/scripts/listener.py:16
Method__init__
Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/midas_net_custom.py:16
Method__init__
Init. Args: features (int): number of features
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py:247
Method__init__
Init. Args: features (int): number of features
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py:286
Method__init__
Init. Args: features (int): number of features
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py:323
Method__init__
Init. Args: features (int): number of features
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py:383
Method__init__
Init. Args: width (int): desired output width height (int): desired output height resize_target (bool, op
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/transforms.py:52
Method__init__
(self, mean, std)
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/transforms.py:201
Method__init__
(self)
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/transforms.py:215
Method__init__
Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/midas_net.py:16
Method__init__
(self, path=None, non_negative=True, **kwargs)
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/dpt_depth.py:143
Method__init__
( self, in_chs, out_chs, kernel_size=1, stride=1, pad=0, dilation=1, groups=1, bn_weig
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/levit.py:62
Method__init__
(self, start_index=1)
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/utils.py:16
Method__init__
(self, in_features, start_index=1)
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/utils.py:29
Method__init__
(self, dim0, dim1)
annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/utils.py:43
Method__init__
ZoeDepth model. This is the version of ZoeDepth that has a single metric head Args: core (models.base_models.midas.MidasCore): Th
annotator/zoe/zoedepth/models/zoedepth/zoedepth_v1.py:39
Method__init__
ViT-like transformer block Args: in_channels (int): Input channels patch_size (int, optional): patch size. Defaults t
annotator/zoe/zoedepth/models/layers/patch_transformer.py:30
Method__init__
Conditional Log Binomial distribution Args: in_features (int): number of input channels in main feature condition_dim
annotator/zoe/zoedepth/models/layers/dist_layers.py:73
Method__init__
Bin center regressor network. Bin centers are bounded on (min_depth, max_depth) interval. Args: in_features (int): input channels
annotator/zoe/zoedepth/models/layers/localbins_layers.py:30
Method__init__
Bin center regressor network. Bin centers are unbounded Args: in_features (int): input channels n_bins (int, optional
annotator/zoe/zoedepth/models/layers/localbins_layers.py:72
Method__init__
(self, in_features, prev_nbins, split_factor=2, mlp_dim=128, min_depth=1e-3, max_depth=10)
annotator/zoe/zoedepth/models/layers/localbins_layers.py:122
Method__init__
Attractor layer for bin centers. Bin centers are unbounded
annotator/zoe/zoedepth/models/layers/attractor.py:140
Method__init__
ZoeDepthNK model. This is the version of ZoeDepth that has two metric heads and uses a learned router to route to experts. Args:
annotator/zoe/zoedepth/models/zoedepth_nk/zoedepth_nk_v1.py:41
Method__init__
(self, warm_up_steps, lr_min, lr_max, lr_start, max_decay_steps, verbosity_interval=0)
ldm/lr_scheduler.py:8
Method__init__
(self, warm_up_steps, f_min, f_max, f_start, cycle_lengths, verbosity_interval=0)
ldm/lr_scheduler.py:41
Method__init__
(self, model, decay=0.9999, use_num_upates=True)
ldm/modules/ema.py:6
Method__init__
(self, dim, max_seq_len)
ldm/modules/x_transformer.py:26
Method__init__
(self, dim)
ldm/modules/x_transformer.py:40
Method__init__
(self, fn)
ldm/modules/x_transformer.py:129
Method__init__
(self, dim, eps=1e-5)
ldm/modules/x_transformer.py:140
Method__init__
(self, dim, eps=1e-8)
ldm/modules/x_transformer.py:152
Method__init__
(self, dim)
ldm/modules/x_transformer.py:169
Method__init__
(self, dim_in, dim_out)
ldm/modules/x_transformer.py:185
Method__init__
(self, dim, dim_out=None, mult=4, glu=False, dropout=0.)
ldm/modules/x_transformer.py:195
Method__init__
( self, dim, dim_head=DEFAULT_DIM_HEAD, heads=8, c
ldm/modules/x_transformer.py:216
Method__init__
( self, dim, depth, heads=8, causal=False,
ldm/modules/x_transformer.py:371
Method__init__
(self, **kwargs)
ldm/modules/x_transformer.py:542
Method__init__
( self, *, num_tokens, max_seq_len, attn_layers,
ldm/modules/x_transformer.py:549
Method__init__
(self, dim, dim_out=None, mult=4, glu=False, dropout=0.)
ldm/modules/attention.py:48
Method__init__
(self, dim, heads=4, dim_head=32)
ldm/modules/attention.py:81
Method__init__
(self, query_dim, key_dim, value_dim, heads=8, dim_head=64, dropout=0)
ldm/modules/attention.py:100
Method__init__
(self, query_dim, key_dim, value_dim, heads=8, dim_head=64, dropout=0)
ldm/modules/attention.py:143
Method__init__
(self, query_dim, heads=8, dim_head=64, dropout=0.)
ldm/modules/attention.py:219
Method__init__
(self, query_dim, context_dim, n_heads, d_head)
ldm/modules/attention.py:300
Method__init__
(self, query_dim, context_dim, n_heads, d_head)
ldm/modules/attention.py:331
Method__init__
(self, query_dim, key_dim, value_dim, n_heads, d_head, fuser_type, use_checkpoint=True)
ldm/modules/attention.py:368
Method__init__
(self, query_dim, key_dim, value_dim, n_heads, d_head, fuser_type, use_checkpoint=True, t
ldm/modules/attention.py:395
Method__init__
(self, in_channels, key_dim, value_dim, n_heads, d_head, depth=1, fuser_type=None, use_checkpoint=True)
ldm/modules/attention.py:447
Method__init__
(self, in_channels, key_dim, value_dim, n_heads, d_head, depth=1, fuser_type=None, use_checkpoint=True)
ldm/modules/attention.py:485
Method__init__
(self, channels, use_conv, dims=2, out_channels=None,padding=1)
ldm/modules/diffusionmodules/openaimodel.py:96
Method__init__
( self, channels, emb_channels, dropout, out_channels=None, us
ldm/modules/diffusionmodules/openaimodel.py:132
Method__init__
( self, image_size, in_channels, model_channels, out_channels,
ldm/modules/diffusionmodules/openaimodel.py:238
Method__init__
(self, in_chans=3, num_classes=1000, depths=[3, 3, 9, 3], dims=[96, 192, 384, 768], drop_pat
ldm/modules/diffusionmodules/convnext.py:66
Method__init__
(self, normalized_shape, eps=1e-6, data_format="channels_last")
ldm/modules/diffusionmodules/convnext.py:126
Method__init__
(self, channels, use_conv, dims=2, out_channels=None,padding=1)
ldm/modules/diffusionmodules/openaimodel3d.py:97
Method__init__
( self, channels, emb_channels, dropout, out_channels=None, us
ldm/modules/diffusionmodules/openaimodel3d.py:134
Method__init__
( self, image_size, in_channels, model_channels, out_channels,
ldm/modules/diffusionmodules/openaimodel3d.py:241
Method__init__
(self, num_freqs=64, temperature=100)
ldm/modules/diffusionmodules/util.py:13
Method__init__
(self, c_concat_config, c_crossattn_config)
ldm/modules/diffusionmodules/util.py:270
Method__init__
(self, in_dim, out_dim, fourier_freqs=8)
ldm/modules/diffusionmodules/text_image_grounding_net.py:10
Method__init__
(self, in_dim, out_dim, fourier_freqs=8)
ldm/modules/diffusionmodules/text_grounding_net.py:10
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