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Functions1,142 in github.com/EGO4D/episodic-memory

⨍ Functions 1,142◇ Types & classes 180
Method__init__
Initialize the InstanceRegistration class.
EgoTracks/tracking/models/template.py:146
Method__init__
( self, inplanes=64, channel=256, feat_sz=20, stride=16, freeze_bn=False )
EgoTracks/tracking/models/stark_tracker/head.py:49
Method__init__
(self, inplanes=64, channel=256, feat_sz=20, stride=16)
EgoTracks/tracking/models/stark_tracker/head.py:145
Method__init__
Initializes the model. Parameters: backbone: torch module of the backbone to be used. See backbone.py transformer: tor
EgoTracks/tracking/models/stark_tracker/stark_st.py:13
Method__init__
( self, cfg: CfgNode, device: torch.device = None, verbose: bool = False,
EgoTracks/tracking/models/stark_tracker/stark_tracker.py:22
Method__init__
Initializes the model. Parameters: backbone: torch module of the backbone to be used. See backbone.py transformer: tor
EgoTracks/tracking/models/stark_tracker/stark_s.py:18
Method__init__
(self, encoder_layer, num_layers, norm=None)
EgoTracks/tracking/models/stark_tracker/transformer.py:152
Method__init__
(self, encoder_layer, num_layers, norm=None)
EgoTracks/tracking/models/stark_tracker/transformer.py:201
Method__init__
(self, decoder_layer, num_layers, norm=None, return_intermediate=False)
EgoTracks/tracking/models/stark_tracker/transformer.py:230
Method__init__
( self, d_model, nhead, dim_feedforward=2048, dropout=0.1, act
EgoTracks/tracking/models/stark_tracker/transformer.py:279
Method__init__
( self, d_model, nhead, dim_feedforward=2048, dropout=0.1, act
EgoTracks/tracking/models/stark_tracker/transformer.py:365
Method__init__
( self, d_model, nhead, dim_feedforward=2048, dropout=0.1, act
EgoTracks/tracking/models/stark_tracker/transformer.py:440
Method__init__
(self, n)
EgoTracks/tracking/models/stark_tracker/backbone.py:24
Method__init__
( self, backbone: nn.Module, train_backbone: bool, num_channels: int,
EgoTracks/tracking/models/stark_tracker/backbone.py:69
Method__init__
( self, name: str, train_backbone: bool, return_interm_layers: bool, d
EgoTracks/tracking/models/stark_tracker/backbone.py:121
Method__init__
( self, block, layers, num_classes=1000, zero_init_residual=False,
EgoTracks/tracking/models/stark_tracker/resnet.py:40
Method__init__
(self, num_pos_feats=256)
EgoTracks/tracking/models/stark_tracker/position_encoding.py:76
Method__init__
(self, num_pos_feats=256)
EgoTracks/tracking/models/stark_tracker/position_encoding.py:113
Method__init__
(self, tensors, mask: Optional[Tensor])
EgoTracks/tracking/models/stark_tracker/utils/misc.py:40
Method__init__
(self)
EgoTracks/tracking/models/stark_tracker/utils/misc.py:63
Method__init__
(self)
NLQ/2D-TAN/lib/core/utils.py:12
Method__init__
(self)
NLQ/2D-TAN/lib/core/engine.py:2
Method__init__
(self, split, temp=None)
NLQ/2D-TAN/lib/datasets/ego4d_clip.py:23
Method__init__
(self, split)
NLQ/2D-TAN/lib/datasets/tacos.py:24
Method__init__
(self, split)
NLQ/2D-TAN/lib/datasets/charades.py:25
Method__init__
(self, split)
NLQ/2D-TAN/lib/datasets/activitynet.py:24
Method__init__
(self)
NLQ/2D-TAN/lib/models/tan.py:9
Method__init__
(self, input_size, hidden_size, stride)
NLQ/2D-TAN/lib/models/frame_modules/frame_pool.py:22
Method__init__
(self, cfg)
NLQ/2D-TAN/lib/models/prop_modules/sparse.py:4
Method__init__
(self, cfg)
NLQ/2D-TAN/lib/models/prop_modules/dense.py:4
Method__init__
(self, cfg)
NLQ/2D-TAN/lib/models/fusion_modules/base_fusion.py:7
Method__init__
(self, cfg)
NLQ/2D-TAN/lib/models/map_modules/map_conv.py:7
Method__init__
(self, dataset, video_features)
NLQ/VSLNet/utils/data_loader.py:9
Method__init__
(self, remove_empty_queries_from: Optional[List[str]])
NLQ/VSLNet/utils/data_gen.py:23
Method__init__
(self, num_words, word_dim, drop_rate, word_vectors=None)
NLQ/VSLNet/model/layers.py:36
Method__init__
(self, num_chars, char_dim, drop_rate)
NLQ/VSLNet/model/layers.py:69
Method__init__
( self, num_words, num_chars, word_dim, char_dim, drop_rate,
NLQ/VSLNet/model/layers.py:113
Method__init__
(self, text_agnostic=False)
NLQ/VSLNet/model/layers.py:149
Method__init__
(self, num_embeddings, embedding_dim)
NLQ/VSLNet/model/layers.py:170
Method__init__
(self, visual_dim, dim, drop_rate=0.0)
NLQ/VSLNet/model/layers.py:183
Method__init__
(self, dim, kernel_size, drop_rate, num_layers=4)
NLQ/VSLNet/model/layers.py:203
Method__init__
(self, dim, num_heads, drop_rate)
NLQ/VSLNet/model/layers.py:246
Method__init__
( self, dim, num_heads, max_pos_len, kernel_size=7, num_layers=4, drop_rate=0.0 )
NLQ/VSLNet/model/layers.py:319
Method__init__
(self, dim, drop_rate=0.0)
NLQ/VSLNet/model/layers.py:343
Method__init__
(self, dim)
NLQ/VSLNet/model/layers.py:397
Method__init__
(self, dim)
NLQ/VSLNet/model/layers.py:415
Method__init__
(self, dim)
NLQ/VSLNet/model/layers.py:436
Method__init__
(self, dim)
NLQ/VSLNet/model/layers.py:463
Method__init__
(self, dim, num_heads, max_pos_len, drop_rate=0.0, predictor="rnn")
NLQ/VSLNet/model/layers.py:483
Method__init__
(self, configs, word_vectors)
NLQ/VSLNet/model/VSLNet.py:53
Method__init__
(self, cfg, task_queue, results_queue, worker_id, device_id)
VQ2D/extract_vq_detection_scores.py:169
Method__init__
(self, cfg, task_queue, results_queue, worker_id, device_id)
VQ2D/perform_vq_inference.py:252
Method__init__
( self, embed_dim: int, num_heads: int, dropout: float = 0.0, n_global
VQ2D/detectron2_extensions/modeling/roi_heads/set_heads.py:85
Method__init__
( self, embed_dim: int, num_heads: int, dropout: float = 0.0, )
VQ2D/detectron2_extensions/modeling/roi_heads/set_heads.py:155
Method__init__
( self, in_features_1: int, in_features_2: int, hidden_size: int, test
VQ2D/detectron2_extensions/modeling/roi_heads/set_heads.py:204
Method__init__
NOTE: this interface is experimental. Args: siam_in_features (list[str]): list of feature names to use for the siam head.
VQ2D/detectron2_extensions/modeling/roi_heads/set_heads.py:637
Method__init__
( self, in_channels: int, out_channels: int, stride: int = 1, downsamp
VQ2D/detectron2_extensions/modeling/roi_heads/siam_heads.py:45
Method__init__
NOTE: this interface is experimental. Args: siam_in_features (list[str]): list of feature names to use for the siam head.
VQ2D/detectron2_extensions/modeling/roi_heads/siam_heads.py:335
Method__init__
(self, *args, **kwargs)
VQ2D/detectron2_extensions/modeling/meta_arch/siam_rcnn.py:28
Method__init__
(self, fno, x1, y1, x2, y2)
VQ2D/vq2d/structures.py:5
Method__init__
(self, bboxes: List[BBox], score: float = None)
VQ2D/vq2d/structures.py:35
Method__init__
NOTE: this interface is experimental. Args: is_train: whether it's used in training or inference augmentatio
VQ2D/vq2d/baselines/dataloader.py:86
Method__init__
( self, ground_truth: List[ResponseTrack], prediction: List[List[ResponseTrack]],
VQ2D/vq2d/metrics/success_metrics.py:21
Method__init__
( self, ground_truth: List[ResponseTrack], prediction: List[List[ResponseTrack]],
VQ2D/vq2d/metrics/spatio_temporal_metrics.py:22
Method__init__
( self, ground_truth: List[ResponseTrack], prediction: List[List[ResponseTrack]],
VQ2D/vq2d/metrics/tracking_metrics.py:21
Method__init__
( self, ground_truth: List[ResponseTrack], prediction: List[List[ResponseTrack]],
VQ2D/vq2d/metrics/temporal_metrics.py:22
Method__init__
Parameters: ----------- prior_fn : function(n) = > states a function that generates N samples from the prio
VQ2D/vq2d/tracking/pfilter.py:226
Method__init__
(self, cfg, device)
VQ2D/vq2d/tracking/particle_filter.py:93
Method__init__
(self, cfg, device)
VQ2D/vq2d/tracking/tracker.py:14
Method__init__
(self, model_path, device, lost_thresh=0.05)
VQ2D/vq2d/tracking/kys.py:14
Method__init__
(self, cfg, device)
VQ2D/vq2d/tracking/kys.py:66
Method__isub__
(self, other)
EgoTracks/tracking/utils/tensor.py:96
Method__iter__
Gets an iterator object through the templates list. Returns: iterator: an iterator for the templates list
EgoTracks/tracking/models/template.py:111
Method__iter__
Get an iterator over the instances dictionary. Returns an iterator where each element is a tupe of (key, value) pairs from t
EgoTracks/tracking/models/template.py:220
Method__itruediv__
(self, other)
EgoTracks/tracking/utils/tensor.py:134
Method__le__
(self, other)
EgoTracks/tracking/utils/tensor.py:178
Method__len__
(self)
VQ3D/camera_pose_estimation/utils.py:255
Method__len__
(self)
VQ3D/camera_pose_estimation/utils.py:282
Method__len__
(self)
VQ3D/camera_pose_estimation/pnp_api.py:162
Method__len__
(self)
VQ3D/camera_pose_estimation/SuperGlueMatching/extract_visual_database.py:55
Method__len__
(self)
VQ3D/camera_pose_estimation/SuperGlueMatching/extract_visual_database.py:81
Method__len__
(self)
VQ3D/camera_pose_estimation/SuperGlueMatching/extract_visual_database.py:262
Method__len__
(self)
MQ/Utils/dataset.py:188
Method__len__
Returns size of the dataset returns: int - number of samples in the dataset
EgoTracks/tracking/dataset/base_video_dataset.py:22
Method__len__
(self)
EgoTracks/tracking/dataset/trackingdataset.py:67
Method__len__
Returns size of the dataset returns: int - number of samples in the dataset
EgoTracks/tracking/dataset/base_image_dataset.py:22
Method__len__
Overload this function in your dataset. This should return number of sequences in the dataset.
EgoTracks/tracking/dataset/eval_datasets/base_dataset.py:16
Method__len__
(self)
EgoTracks/tracking/dataset/eval_datasets/ego4d_lt_tracking_dataset.py:143
Method__len__
(self)
EgoTracks/tracking/dataset/eval_datasets/ego4d_lt_tracking_dataset.py:168
Method__len__
Gets the number of instances in the instance dictionary. Args: None Returns: int: the length of the
EgoTracks/tracking/models/template.py:236
Method__len__
(self)
NLQ/2D-TAN/lib/datasets/ego4d_clip.py:215
Method__len__
(self)
NLQ/2D-TAN/lib/datasets/tacos.py:81
Method__len__
(self)
NLQ/2D-TAN/lib/datasets/charades.py:88
Method__len__
(self)
NLQ/2D-TAN/lib/datasets/activitynet.py:115
Method__len__
(self)
NLQ/VSLNet/utils/data_loader.py:22
Method__matmul__
(self, other)
EgoTracks/tracking/utils/tensor.py:143
Method__mod__
(self, other)
EgoTracks/tracking/utils/tensor.py:162
Method__mul__
(self, other)
EgoTracks/tracking/utils/tensor.py:105
Method__neg__
(self)
EgoTracks/tracking/utils/tensor.py:175
Method__pos__
(self)
EgoTracks/tracking/utils/tensor.py:172
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