Functions — github.com/Yang-Li-2000/Touch-Line-Transformer

hub / github.com/Yang-Li-2000/Touch-Line-Transformer / functions

Functions656 in github.com/Yang-Li-2000/Touch-Line-Transformer

⨍ Functions 656◇ Types & classes 111

Method__init__

(self, args)

run_with_submitit.py:83

Method__init__

(self)

scripts/eval_gqa.py:158

Method__init__

(self)

scripts/eval_clevr.py:122

Method__init__

Initialize a union find with n components

scripts/utils/unionfind.py:8

Method__init__

(self, color, size, shape, material, pos=None, id=None)

scripts/clevr/clevr_to_coco.py:176

Method__init__

(self, f1, f2)

scripts/clevr/clevr_to_coco.py:217

Method__init__

(self, scene)

scripts/clevr/clevr_to_coco.py:227

Method__init__

(self, color, size, shape, material, pos=None, id=None)

scripts/clevr/refclevr_to_coco.py:202

Method__init__

(self, f1, f2)

scripts/clevr/refclevr_to_coco.py:245

Method__init__

(self, scene)

scripts/clevr/refclevr_to_coco.py:255

Method__init__

Initialize a union find with n components

scripts/pre-training/flickr_combined.py:190

Method__init__

(self, refexp_gt, iou_types, k=(1, 5, 10), thresh_iou=0.5)

datasets/refexp.py:21

Method__init__

(self, data_root, split_root='data', dataset='yourefit', transform=None, augment=False, devic

datasets/yourefit.py:125

Method__init__

(self, ref_dataset, iou_types, k=(1, 2, 10), thresh_iou=0.25, draw=False)

datasets/yourefit.py:390

Method__init__

(self, ref_dataset, iou_types, k=1, thresh_iou=(0.25, 0.5, 0.75), draw=True)

datasets/yourefit.py:505

Method__init__

(self, img_folder, ann_file, transforms, return_masks, return_tokens, tokenizer, ann_folder)

datasets/gqa.py:22

Method__init__

(self, refexp_gt, iou_types, k=(1, 5, 10), thresh_iou=0.5)

datasets/clevrref.py:23

Method__init__

(self, size)

datasets/transforms.py:188

Method__init__

(self, min_size: int, max_size: int, respect_boxes: bool = False)

datasets/transforms.py:197

Method__init__

(self, size)

datasets/transforms.py:216

Method__init__

(self, p=0.5)

datasets/transforms.py:228

Method__init__

(self, sizes, max_size=None)

datasets/transforms.py:238

Method__init__

(self, max_pad)

datasets/transforms.py:249

Method__init__

(self, transforms1, transforms2, p=0.5)

datasets/transforms.py:264

Method__init__

(self, *args, **kwargs)

datasets/transforms.py:281

Method__init__

(self, mean, std)

datasets/transforms.py:289

Method__init__

(self, enabled=False)

datasets/transforms.py:317

Method__init__

(self, transforms)

datasets/transforms.py:339

Method__init__

Parameters: - topk : tuple of ints corresponding to the recalls being tracked (eg, recall@1, recall@10, ...)

datasets/flickr_eval.py:223

Method__init__

( self, flickr_path: str, subset: str = "test", topk: Sequence[int] = (1, 5, 1

datasets/flickr_eval.py:259

Method__init__

( self, flickr_path, subset, top_k=(1, 5, 10, -1), iou_thresh=0.5,

datasets/flickr_eval.py:395

Method__init__

(self, root, annFile, transform=None, target_transform=None, transforms=None)

datasets/lvis.py:211

Method__init__

(self, img_folder, ann_file, transforms, return_masks)

datasets/lvis.py:241

Method__init__

(self, coco_gt, iou_types, useCats=False)

datasets/coco_eval.py:24

Method__init__

(self, split, ann_folder, output_dir="phrasecut_eval", eval_mask=False)

datasets/phrasecut_eval.py:14

Method__init__

Constructor for LVIS results. Args: lvis_gt (LVIS class instance, or str containing path of annotation file)

datasets/lvis_eval.py:55

Method__init__

Constructor for LVISEval. Args: lvis_gt (LVIS class instance, or str containing path of annotation file) lvis_dt (LVIS

datasets/lvis_eval.py:132

Method__init__

(self, lvis_gt, iou_types)

datasets/lvis_eval.py:610

Method__init__

(self, gt: LVIS, topk=10000, fixed_ap=True)

datasets/lvis_eval.py:740

Method__init__

(self, topk=10000, fixed_ap=True, out_path="lvis_eval")

datasets/lvis_eval.py:847

Method__init__

(self, img_folder, ann_file, transforms, return_masks, return_tokens, tokenizer, is_train=False)

datasets/coco.py:19

Method__init__

(self, return_masks=False, return_tokens=False, tokenizer=None)

datasets/coco.py:110

Method__init__

( self, root_coco: str, root_vg: str, annFile: str, transform: Optiona

datasets/mixed.py:36

Method__init__

(self, img_folder, ann_file, transforms, return_masks, return_tokens, tokenizer, do_qa)

datasets/clevr.py:63

Method__init__

:param refvg_loader: :param analyze_subset:

datasets/phrasecut_utils/evaluator.py:19

Method__init__

(self, phrase_cut_path: str)

datasets/phrasecut_utils/subset.py:105

Method__init__

( self, phrase_cut_path: str, subsets: PhraseCutSubsets, split=None, a

datasets/phrasecut_utils/refvg_loader.py:25

Method__init__

(self, hidden_dim, num_queries, temperature=20)

models/mdetr.py:40

Method__init__

Initializes the model. Args: backbone: torch module of the backbone to be used. See backbone.py transformer: torch mo

models/mdetr.py:77

Method__init__

(self, temperature=0.1)

models/mdetr.py:361

Method__init__

(self, split_qa_heads)

Create the criterion. Parameters: num_classes: number of object categories, omitting the special no-object category ma

models/mdetr.py:599

Method__init__

Creates the matcher Params: cost_class: This is the relative weight of the classification error in the matching cost

models/matcher.py:21

Method__init__

(self, encoder_layer, num_layers, norm=None)

models/transformer_ori.py:61

Method__init__

(self, decoder_layer, num_layers, norm=None, return_intermediate=False)

models/transformer_ori.py:85

Method__init__

(self, d_model=288, nhead=8, dim_feedforward=2048, dropout=0.1, activation="relu", self_pose

models/transformer_ori.py:120

Method__init__

(self, d_model=288, nhead=8, dim_feedforward=2048, dropout=0.1, activation="relu")

models/transformer_ori.py:166

Method__init__

(self, encoder_layer, num_layers, norm=None)

models/transformer.py:233

Method__init__

(self, decoder_layer, num_layers, norm=None, return_intermediate=False)

models/transformer.py:260

Method__init__

(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before

models/transformer.py:316

Method__init__

(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before

models/transformer.py:383

Method__init__

(self, input_feat_size, output_feat_size, dropout, do_ln=True)

models/transformer.py:556

Method__init__

(self, dim, fpn_dims, context_dim)

models/segmentation.py:95

Method__init__

(self, query_dim, hidden_dim, num_heads, dropout=0, bias=True)

models/segmentation.py:166

Method__init__

(self, n)

models/backbone.py:29

Method__init__

(self, backbone: nn.Module, train_backbone: bool, num_channels: int, return_interm_layers: bool)

models/backbone.py:61

Method__init__

(self, name: str, train_backbone: bool, return_interm_layers: bool, dilation: bool)

models/backbone.py:85

Method__init__

(self, num_channels, num_groups=32, **kargs)

models/backbone.py:94

Method__init__

(self, name: str, train_backbone: bool, return_interm_layers: bool, dilation: bool)

models/backbone.py:101

Method__init__

(self, name, return_interm_layers, main_layer=-1, group_norm=False)

models/backbone.py:141

Method__init__

(self, backbone, position_embedding)

models/backbone.py:165

Method__init__

(self, score_thresh=0.7)

models/postprocessors.py:108

Method__init__

(self, num_pos_feats=256)

models/position_encoding.py:56

Method__init__

Args: gamma: Weighting parameter to balance loss for hard and easy examples. alpha: Weighting parameter to balance lo

models/utils/losses.py:26

Method__init__

(self, embed_dim, num_heads, dropout=0., bias=True, add_bias_kv=False, add_zero_attn=False, kdim=None,

models/utils/multi_head_attention.py:41

Method__init__

(self,hidden_dim,num_queries,temperature=5)

models/utils/PE.py:23

Method__init__

(self, tensors, mask)

util/misc.py:87

Method__init__

(self, window_size=20, fmt=None)

util/metrics.py:20

Method__init__

(self, delimiter="\t")

util/metrics.py:76

Method__len__

(self)

scripts/clevr/clevr_to_coco.py:235

Method__len__

(self)

scripts/clevr/refclevr_to_coco.py:263

Method__len__

(self)

datasets/yourefit.py:355

scripts/clevr/clevr_to_coco.py:212

Method__repr__

(self)

scripts/clevr/refclevr_to_coco.py:240

Method__repr__

(self)

datasets/transforms.py:347

scripts/clevr/clevr_to_coco.py:275

Method__str__

(self)

scripts/clevr/refclevr_to_coco.py:303

Function_get_all_datapoints

(output_path: Path, img_list, proc_id: int)

scripts/pre-training/vg_preprocessing.py:292

Method_load_from_state_dict

( self, state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs )

models/backbone.py:36

Methodaccumulate

(self)

datasets/refexp.py:31

Methodaccumulate

(self)

datasets/yourefit.py:402

Methodaccumulate

(self)

datasets/yourefit.py:516

Methodaccumulate

(self)

datasets/clevrref.py:33

Methodaccumulate

(self)

datasets/flickr_eval.py:411

← previous next →401–500 of 656, ranked by callers