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Functions799 in github.com/PKU-ICST-MIPL/FineSports_CVPR2024

⨍ Functions 799◇ Types & classes 157↳ Endpoints 1
Method__init__
(self, decoder_layer, num_layers, norm=None, return_intermediate=False)
models/transformer/transformer.py:105
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
models/transformer/transformer.py:151
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
models/transformer/transformer.py:213
Method__init__
(self, num_pos_feats=64, temperature=10000, normalize=False, scale=None)
models/transformer/position_encoding.py:19
Method__init__
(self, window_size=20, fmt=None)
models/transformer/util/misc.py:32
Method__init__
(self, delimiter="\t")
models/transformer/util/misc.py:160
Method__init__
(self, tensors, mask: Optional[Tensor])
models/transformer/util/misc.py:333
Method__init__
(self, pretrained_path)
models/BLIP/prompt_learner.py:94
Method__init__
(self, window_size=20, fmt=None)
models/BLIP/utils.py:35
Method__init__
(self, delimiter="\t")
models/BLIP/utils.py:93
Method__init__
(self, *args, **kwargs)
models/BLIP/utils.py:183
Method__init__
(self, mean, std)
models/BLIP/data/video_dataset.py:19
Method__init__
image_root (string): Root directory of video ann_root (string): directory to store the annotation file
models/BLIP/data/video_dataset.py:36
Method__init__
image_root (string): Root directory of images (e.g. flickr30k/) ann_root (string): directory to store the annotation file
models/BLIP/data/flickr30k_dataset.py:12
Method__init__
image_root (string): Root directory of images (e.g. flickr30k/) ann_root (string): directory to store the annotation file spl
models/BLIP/data/flickr30k_dataset.py:53
Method__init__
(self, transform, image_root, ann_root, split)
models/BLIP/data/nocaps_dataset.py:10
Method__init__
image_root (string): Root directory of images ann_root (string): directory to store the annotation file split (string): trai
models/BLIP/data/nlvr_dataset.py:13
Method__init__
image_root (string): Root directory of images (e.g. coco/images/) ann_root (string): directory to store the annotation file
models/BLIP/data/coco_karpathy_dataset.py:12
Method__init__
image_root (string): Root directory of images (e.g. coco/images/) ann_root (string): directory to store the annotation file s
models/BLIP/data/coco_karpathy_dataset.py:53
Method__init__
image_root (string): Root directory of images (e.g. coco/images/) ann_root (string): directory to store the annotation file s
models/BLIP/data/coco_karpathy_dataset.py:86
Method__init__
(self, ann_file, laion_path, transform)
models/BLIP/data/pretrain_dataset.py:16
Method__init__
(self, transform, ann_root, vqa_root, vg_root, train_files=[], split="train")
models/BLIP/data/vqa_dataset.py:13
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.)
models/BLIP/models/vit.py:45
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
models/BLIP/models/vit.py:91
Method__init__
Args: img_size (int, tuple): input image size patch_size (int, tuple): patch size in_chans (int): number
models/BLIP/models/vit.py:118
Method__init__
Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im
models/BLIP/models/blip_nlvr.py:15
Method__init__
Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im
models/BLIP/models/blip_itm.py:11
Method__init__
Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im
models/BLIP/models/blip_vqa.py:11
Method__init__
(self, config)
models/BLIP/models/nlvr_encoder.py:45
Method__init__
(self, config, is_cross_attention)
models/BLIP/models/nlvr_encoder.py:88
Method__init__
(self, config, twin=False, merge=False)
models/BLIP/models/nlvr_encoder.py:219
Method__init__
(self, config, is_cross_attention=False, layer_num=-1)
models/BLIP/models/nlvr_encoder.py:252
Method__init__
(self, config)
models/BLIP/models/nlvr_encoder.py:328
Method__init__
(self, config)
models/BLIP/models/nlvr_encoder.py:343
Method__init__
(self, config)
models/BLIP/models/nlvr_encoder.py:422
Method__init__
(self, config)
models/BLIP/models/nlvr_encoder.py:522
Method__init__
(self, config)
models/BLIP/models/nlvr_encoder.py:537
Method__init__
(self, config)
models/BLIP/models/nlvr_encoder.py:554
Method__init__
(self, config)
models/BLIP/models/nlvr_encoder.py:574
Method__init__
(self, config, add_pooling_layer=True)
models/BLIP/models/nlvr_encoder.py:616
Method__init__
Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im
models/BLIP/models/blip_retrieval.py:11
Method__init__
Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im
models/BLIP/models/blip_pretrain.py:20
Method__init__
Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im
models/BLIP/models/blip.py:79
Method__init__
(self, config)
models/BLIP/models/med.py:55
Method__init__
(self, config, is_cross_attention)
models/BLIP/models/med.py:98
Method__init__
(self, config)
models/BLIP/models/med.py:229
Method__init__
(self, config, is_cross_attention=False)
models/BLIP/models/med.py:243
Method__init__
(self, config)
models/BLIP/models/med.py:292
Method__init__
(self, config)
models/BLIP/models/med.py:307
Method__init__
(self, config)
models/BLIP/models/med.py:387
Method__init__
(self, config)
models/BLIP/models/med.py:487
Method__init__
(self, config)
models/BLIP/models/med.py:502
Method__init__
(self, config)
models/BLIP/models/med.py:519
Method__init__
(self, config)
models/BLIP/models/med.py:539
Method__init__
(self, config, add_pooling_layer=True, custimize=False)
models/BLIP/models/med.py:581
Method__init__
(self, config)
models/BLIP/models/med.py:816
Method__init__
(self, N=2, M=10, isPIL=False, augs=[])
models/BLIP/transform/randaugment.py:312
Method__init__
Creates the matcher Params: cost_class: This is the relative weight of the classification error in the matching cost
models/detr/matcher.py:20
Method__init__
Creates the matcher Params: cost_class: This is the relative weight of the classification error in the matching cost
models/detr/matcher_ucf.py:20
Method__init__
(self, dim, fpn_dims, context_dim)
models/detr/segmentation.py:75
Method__init__
(self, query_dim, hidden_dim, num_heads, dropout=0.0, bias=True)
models/detr/segmentation.py:143
Method__init__
(self, threshold=0.5)
models/detr/segmentation.py:219
Method__init__
Parameters: is_thing_map: This is a whose keys are the class ids, and the values a boolean indicating whether
models/detr/segmentation.py:245
Method__init__
(self, num_pos_feats=64, temperature=10000, normalize=False, scale=None)
models/detr/position_encoding.py:19
Method__init__
(self, window_size=20, fmt=None)
models/detr/util/misc.py:32
Method__init__
(self, delimiter="\t")
models/detr/util/misc.py:160
Method__init__
(self, tensors, mask: Optional[Tensor])
models/detr/util/misc.py:333
Method__init__
(self, tiou_thresholds=[0.5], load_from_dataset=False, class_num=24)
evaluates/evaluate_ucf.py:120
Method__init__
(self, label_path, tiou_thresholds=[0.5], load_from_dataset=False, class_num=60)
evaluates/evaluate_ava.py:30
Method__init__
(self, label_path, tiou_thresholds=[0.5], load_from_dataset=False, threshold_size_min=0 * 0,
evaluates/evaluate_ava.py:183
Method__init__
Constructs box collection. Args: data: a numpy array of shape [N, 4] representing box coordinates Raises: ValueError: if bbox da
evaluates/utils/np_box_list.py:33
Method__init__
Initialized PerImageEvaluation by evaluation parameters. Args: num_groundtruth_classes: Number of ground truth object classes matchin
evaluates/utils/per_image_evaluation_size.py:32
Method__init__
Initialized PerImageEvaluation by evaluation parameters. Args: num_groundtruth_classes: Number of ground truth object classes matchin
evaluates/utils/per_image_evaluation.py:32
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
evaluates/utils/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 intege
evaluates/utils/object_detection_evaluation.py:107
Method__init__
(self, categories, matching_iou_threshold=0.5)
evaluates/utils/object_detection_evaluation.py:312
Method__init__
(self, categories, matching_iou_threshold=0.5)
evaluates/utils/object_detection_evaluation.py:335
Method__init__
(self, categories, matching_iou_threshold=0.5)
evaluates/utils/object_detection_evaluation.py:347
Method__init__
(self, categories, matching_iou_threshold=0.5)
evaluates/utils/object_detection_evaluation.py:371
Method__init__
Constructor. Args: categories: A list of dicts, each of which has the following keys - 'id': (required) an intege
evaluates/utils/object_detection_evaluation.py:388
Method__init__
(self, num_groundtruth_classes, matching_iou_thresho
evaluates/utils/object_detection_evaluation.py:467
Method__len__
(self)
models/BLIP/data/video_dataset.py:59
Method__len__
(self)
models/BLIP/data/flickr30k_dataset.py:36
Method__len__
(self)
models/BLIP/data/flickr30k_dataset.py:84
Method__len__
(self)
models/BLIP/data/nocaps_dataset.py:21
Method__len__
(self)
models/BLIP/data/nlvr_dataset.py:31
Method__len__
(self)
models/BLIP/data/coco_karpathy_dataset.py:36
Method__len__
(self)
models/BLIP/data/coco_karpathy_dataset.py:69
Method__len__
(self)
models/BLIP/data/coco_karpathy_dataset.py:117
Method__len__
(self)
models/BLIP/data/pretrain_dataset.py:48
Method__len__
(self)
models/BLIP/data/vqa_dataset.py:37
Method__repr__
(self)
utils/misc.py:385
Method__repr__
(self)
datasets/video_transforms.py:404
Method__repr__
(self)
models/transformer/util/misc.py:351
Method__repr__
(self)
models/detr/util/misc.py:351
Method__setstate__
(self, state)
models/transformer/transformer_layers.py:427
Method__str__
(self)
utils/misc.py:75
Method__str__
(self)
utils/misc.py:171
Method__str__
(self)
models/transformer/util/misc.py:80
Method__str__
(self)
models/transformer/util/misc.py:179
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