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Functions1,198 in github.com/OpenGVLab/unmasked_teacher

Method__init__
(self, config, dim_in)
single_modality/action_detection/alphaction/modeling/roi_heads/action_head/roi_action_feature_extractor.py:14
Method__init__
(self, cfg, dim_in)
single_modality/action_detection/alphaction/modeling/roi_heads/action_head/action_head.py:17
Method__init__
(self, config, dim_in)
single_modality/action_detection/alphaction/modeling/roi_heads/action_head/roi_action_predictors.py:7
Method__init__
(self, pose_action_num)
single_modality/action_detection/alphaction/modeling/roi_heads/action_head/inference.py:9
Method__init__
(self, dim_person, dim_other, dim_out, dim_inner, structure_config, max_others=20,
single_modality/action_detection/alphaction/modeling/roi_heads/action_head/IA_structure.py:12
Method__init__
(self, dim_person, dim_mem, dim_out, structure_cfg)
single_modality/action_detection/alphaction/modeling/roi_heads/action_head/IA_structure.py:231
Method__init__
(self, dim_person, dim_mem, dim_out, structure_cfg)
single_modality/action_detection/alphaction/modeling/roi_heads/action_head/IA_structure.py:262
Method__init__
(self, dim_person, dim_others, dim_out, structure_cfg)
single_modality/action_detection/alphaction/modeling/roi_heads/action_head/IA_structure.py:301
Method__init__
(self, cfg)
single_modality/action_detection/alphaction/modeling/detector/action_detector.py:8
Method__init__
( self, cfg, model, optimizer=None, scheduler=None
single_modality/action_detection/alphaction/utils/checkpoint.py:114
Method__init__
(self, window_size=20)
single_modality/action_detection/alphaction/utils/metric_logger.py:13
Method__init__
(self, delimiter="\t")
single_modality/action_detection/alphaction/utils/metric_logger.py:41
Method__init__
(self, *args, **kwargs)
single_modality/action_detection/alphaction/utils/registry.py:30
Method__init__
(self, size_divisible=0)
single_modality/action_detection/alphaction/dataset/collate_batch.py:35
Method__init__
(self, dataset, num_replicas=None, rank=None, shuffle=True)
single_modality/action_detection/alphaction/dataset/samplers/distributed.py:24
Method__init__
(self, batch_sampler, num_iterations, start_iter=0)
single_modality/action_detection/alphaction/dataset/samplers/iteration_based_batch_sampler.py:11
Method__init__
(self, sampler, group_ids, batch_size, drop_uneven=False)
single_modality/action_detection/alphaction/dataset/samplers/grouped_batch_sampler.py:24
Method__init__
(self, transforms)
single_modality/action_detection/alphaction/dataset/transforms/video_transforms.py:11
Method__init__
(self, frame_num, sample_rate, temporal_jitter=0, sparse=False)
single_modality/action_detection/alphaction/dataset/transforms/video_transforms.py:30
Method__init__
(self, min_size, max_size)
single_modality/action_detection/alphaction/dataset/transforms/video_transforms.py:56
Method__init__
(self, is_train)
single_modality/action_detection/alphaction/dataset/transforms/video_transforms.py:100
Method__init__
(self, hue_shift, sat_shift, val_shift)
single_modality/action_detection/alphaction/dataset/transforms/video_transforms.py:135
Method__init__
(self, prob=0.5)
single_modality/action_detection/alphaction/dataset/transforms/video_transforms.py:169
Method__init__
(self, mean, std, to_bgr=False)
single_modality/action_detection/alphaction/dataset/transforms/video_transforms.py:193
Method__init__
(self, tau, alpha, slow_jitter=False)
single_modality/action_detection/alphaction/dataset/transforms/video_transforms.py:214
Method__init__
(self)
single_modality/action_detection/alphaction/dataset/transforms/video_transforms.py:237
Method__init__
(self, transforms)
single_modality/action_detection/alphaction/dataset/transforms/object_transforms.py:4
Method__init__
(self, top_k)
single_modality/action_detection/alphaction/dataset/transforms/object_transforms.py:16
Method__init__
(self, prob=0.5)
single_modality/action_detection/alphaction/dataset/transforms/object_transforms.py:34
Method__init__
(self, info_dict, key_type=None, value_type=None)
single_modality/action_detection/alphaction/dataset/datasets/ava.py:14
Method__init__
(self, id_to_box_dict, key_list=None, value_types=[])
single_modality/action_detection/alphaction/dataset/datasets/ava.py:31
Method__init__
(self, video_root, ann_file, remove_clips_without_annotations, frame_span, box_file=None, eval_file_paths={},
single_modality/action_detection/alphaction/dataset/datasets/ava.py:65
Method__init__
Constructs box collection. Args: data: a numpy array of shape [N, 4] representing box coordinates Raises: ValueError: if bbox da
single_modality/action_detection/alphaction/dataset/datasets/evaluation/ava/pascal_evaluation/np_box_list.py:33
Method__init__
Initialized PerImageEvaluation by evaluation parameters. Args: num_groundtruth_classes: Number of ground truth object classes matchin
single_modality/action_detection/alphaction/dataset/datasets/evaluation/ava/pascal_evaluation/per_image_evaluation.py:31
Method__init__
Constructs box collection. Args: box_data: a numpy array of shape [N, 4] representing box coordinates mask_data: a numpy array of sha
single_modality/action_detection/alphaction/dataset/datasets/evaluation/ava/pascal_evaluation/np_box_mask_list.py:30
Method__init__
Constructor. Args: categories: A list of dicts, each of which has the following keys - 'id': (required) an integer id uniquely iden
single_modality/action_detection/alphaction/dataset/datasets/evaluation/ava/pascal_evaluation/object_detection_evaluation.py:105
Method__init__
(self, categories, matching_iou_threshold=0.5)
single_modality/action_detection/alphaction/dataset/datasets/evaluation/ava/pascal_evaluation/object_detection_evaluation.py:305
Method__init__
(self, categories, matching_iou_threshold=0.5)
single_modality/action_detection/alphaction/dataset/datasets/evaluation/ava/pascal_evaluation/object_detection_evaluation.py:328
Method__init__
(self, categories, matching_iou_threshold=0.5)
single_modality/action_detection/alphaction/dataset/datasets/evaluation/ava/pascal_evaluation/object_detection_evaluation.py:340
Method__init__
(self, categories, matching_iou_threshold=0.5)
single_modality/action_detection/alphaction/dataset/datasets/evaluation/ava/pascal_evaluation/object_detection_evaluation.py:364
Method__init__
Constructor. Args: categories: A list of dicts, each of which has the following keys - 'id': (required) an integer id uniquely iden
single_modality/action_detection/alphaction/dataset/datasets/evaluation/ava/pascal_evaluation/object_detection_evaluation.py:381
Method__init__
(self, num_groundtruth_classes, matching_iou_threshold=0.5, nms_i
single_modality/action_detection/alphaction/dataset/datasets/evaluation/ava/pascal_evaluation/object_detection_evaluation.py:460
Method__init__
( self, optimizer, warmup_factor=1.0 / 3, warmup_iters=8000, max_iters
single_modality/action_detection/alphaction/solver/lr_scheduler.py:53
Method__init__
(self, bbox, image_size, mode="xyxy")
single_modality/action_detection/alphaction/structures/bounding_box.py:19
Method__init__
(self)
single_modality/action_detection/alphaction/structures/memory_pool.py:4
Method__init__
(self, gamma, alpha, reduction="mean")
single_modality/action_detection/alphaction/layers/softmax_focal_loss.py:46
Method__init__
(self, gamma, alpha, reduction="mean")
single_modality/action_detection/alphaction/layers/sigmoid_focal_loss.py:46
Method__init__
(self, output_size, spatial_scale)
single_modality/action_detection/alphaction/layers/roi_pool_3d.py:49
Method__init__
(self, num_features, eps=1e-5, affine=True, track_running_stats=True)
single_modality/action_detection/alphaction/layers/batch_norm.py:6
Method__init__
(self, output_size, spatial_scale, sampling_ratio)
single_modality/action_detection/alphaction/layers/roi_align_3d.py:52
Method__init__
(self, anno_path, prefix='', split=' ', mode='train', clip_len=8, frame_sample_rate=2, crop_s
single_modality/datasets/kinetics.py:29
Method__init__
( self, size, scale=(0.08, 1.0), ratio=(3.0 / 4.0, 4.0 / 3.0), interpo
single_modality/datasets/video_transforms.py:704
Method__init__
(self, transforms)
single_modality/datasets/video_transforms.py:908
Method__init__
(self, ratio=(3. / 4., 4. / 3.), interpolation='nearest')
single_modality/datasets/video_transforms.py:953
Method__init__
(self, size, interpolation='nearest')
single_modality/datasets/video_transforms.py:983
Method__init__
(self, size)
single_modality/datasets/video_transforms.py:1000
Method__init__
(self, size)
single_modality/datasets/video_transforms.py:1044
Method__init__
(self, degrees)
single_modality/datasets/video_transforms.py:1093
Method__init__
(self, size)
single_modality/datasets/video_transforms.py:1134
Method__init__
(self, brightness=0, contrast=0, saturation=0, hue=0)
single_modality/datasets/video_transforms.py:1184
Method__init__
(self, mean, std)
single_modality/datasets/video_transforms.py:1266
Method__init__
(self, anno_path, prefix='', split=' ', mode='train', clip_len=8, crop_size=224, short_side_s
single_modality/datasets/ssv2.py:29
Method__init__
(self, anno_path, prefix='', split=' ', mode='train', clip_len=8, crop_size=224, short_side_si
single_modality/datasets/ssv2.py:325
Method__init__
(self, args)
single_modality/datasets/build.py:12
Method__init__
(self, size)
single_modality/datasets/transforms.py:12
Method__init__
(self, size)
single_modality/datasets/transforms.py:40
Method__init__
(self, flip=False)
single_modality/datasets/transforms.py:49
Method__init__
(self, mean, std)
single_modality/datasets/transforms.py:63
Method__init__
(self, size)
single_modality/datasets/transforms.py:80
Method__init__
(self, size)
single_modality/datasets/transforms.py:89
Method__init__
(self, size, interpolation=Image.BILINEAR)
single_modality/datasets/transforms.py:108
Method__init__
(self, input_size, scales=None, max_distort=1, fix_crop=True, more_fix_crop=True)
single_modality/datasets/transforms.py:118
Method__init__
(self, roll=False)
single_modality/datasets/transforms.py:191
Method__init__
(self, div=True)
single_modality/datasets/transforms.py:209
Method__init__
(self, anno_path, prefix='', split=' ', mode='train', clip_len=8, frame_sample_rate=2, crop_s
single_modality/datasets/kinetics_sparse.py:30
Method__init__
(self, channel_nb=3, div_255=True, numpy=False)
single_modality/datasets/volume_transforms.py:21
Method__init__
(self, channel_nb=3, div_255=True, numpy=False)
single_modality/datasets/volume_transforms.py:76
Method__init__
(self, mixup_alpha=1., cutmix_alpha=0., cutmix_minmax=None, prob=1.0, switch_prob=0.5, mode='
single_modality/datasets/mixup.py:104
Method__init__
(self, input_size, mask_ratio)
single_modality/datasets/masking_generator.py:5
Method__init__
(self, input_size, mask_ratio)
single_modality/datasets/masking_generator.py:29
Method__init__
(self, name, prob=0.5, magnitude=10, hparams=None)
single_modality/datasets/rand_augment.py:342
Method__init__
(self, ops, num_layers=2, choice_weights=None)
single_modality/datasets/rand_augment.py:463
Method__init__
(self, root, setting, prefix='', split=' '
single_modality/datasets/mae.py:72
Method__init__
( self, probability=0.5, min_area=0.02, max_area=1 / 3, min_aspect=0.3
single_modality/datasets/random_erasing.py:46
Method__init__
(self, drop_prob=None)
single_modality/models/modeling_finetune.py:24
Method__init__
( self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., a
single_modality/models/modeling_finetune.py:56
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
single_modality/models/modeling_finetune.py:102
Method__init__
(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768, num_frames=16, tubelet_size=2)
single_modality/models/modeling_finetune.py:135
Method__init__
(self, img_size=224, patch_size=16, in_chans=3,
single_modality/models/modeling_finetune.py:208
Method__init__
(self, d_model, n_head, attn_mask=None)
single_modality/models/clip.py:33
Method__init__
( self, input_resolution, patch_size, width, layers, heads, output_dim, clip_norm_type='l2',
single_modality/models/clip.py:100
Method__init__
(self, img_size=224, patch_size=16, in_chans=3, num_classes=0, embed_dim=768, depth=12, num_h
single_modality/models/modeling_pretrain.py:20
Method__init__
(self, patch_size=16, num_classes=768, embed_dim=768, depth=12, num_heads=12, mlp_ratio=4., q
single_modality/models/modeling_pretrain.py:108
Method__init__
(self, img_size=224, patch_size=16, in_chans=3, num_classes=0, embed_dim=768, depth=12, num_h
single_modality/models/modeling_pretrain_umt.py:36
Method__init__
(self, img_size=224, patch_size=16, encoder_in_chans=3,
single_modality/models/modeling_pretrain_umt.py:172
Method__iter__
this iterator will run indefinitely
multi_modality/dataset/dataloader.py:51
Method__iter__
(self)
single_modality/action_detection/alphaction/dataset/samplers/distributed.py:41
Method__iter__
(self)
single_modality/action_detection/alphaction/dataset/samplers/iteration_based_batch_sampler.py:16
Method__iter__
(self)
single_modality/action_detection/alphaction/dataset/samplers/grouped_batch_sampler.py:100
Method__len__
(self)
multi_modality/dataset/caption_dataset.py:31
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