MCPcopy Create free account

hub / github.com/IDEA-Research/DINO / functions

Functions501 in github.com/IDEA-Research/DINO

⨍ Functions 501◇ Types & classes 105
↓ 1 callersMethodsample_for_pred_last_item
(self, box_label: torch.FloatTensor)
datasets/coco.py:132
↓ 1 callersMethodsample_for_pred_random_item
(self, box_label: torch.FloatTensor)
datasets/coco.py:125
↓ 1 callersMethodsample_for_pred_stop_sign
(self, box_label: torch.FloatTensor)
datasets/coco.py:149
↓ 1 callersMethodset_state
(self, prob_first_item, prob_random_item, prob_last_item, prob_stop_sign)
datasets/coco.py:107
↓ 1 callersFunctionsetup_for_distributed
This function disables printing when not in master process
util/misc.py:431
↓ 1 callersFunctionsetup_logger
Initialize the detectron2 logger and set its verbosity level to "INFO". Args: output (str): a file name or a directory to save log.
util/logger.py:31
↓ 1 callersFunctionslcopytree
modified from shutil.copytree without copystat. Recursively copy a directory tree. The destination directory must not already exist
datasets/data_util.py:14
↓ 1 callersFunctionslload
Load data from json/yaml/pickle files. This method provides a unified api for loading data from serialized files. Args: file (str or
util/slio.py:105
↓ 1 callersMethodsummarize
(self)
datasets/coco_eval.py:67
↓ 1 callersMethodsummarize
(self)
datasets/panoptic_eval.py:37
↓ 1 callersMethodsynchronize_between_processes
(self)
datasets/coco_eval.py:58
↓ 1 callersMethodsynchronize_between_processes
(self)
datasets/panoptic_eval.py:30
↓ 1 callersMethodtext
(self)
util/slconfig.py:224
↓ 1 callersFunctiontrain_one_epoch
(model: torch.nn.Module, criterion: torch.nn.Module, data_loader: Iterable, optimizer: tor
engine.py:20
↓ 1 callersMethodupdate
(self, predictions)
datasets/coco_eval.py:38
↓ 1 callersMethodupdate
(self, predictions)
datasets/panoptic_eval.py:23
↓ 1 callersFunctionwarmup
(model, inputs, N=10)
tools/benchmark.py:581
↓ 1 callersFunctionwindow_reverse
Args: windows: (num_windows*B, window_size, window_size, C) window_size (int): Window size H (int): Height of image
models/dino/swin_transformer.py:53
↓ 1 callersMethodwith_pos_embed
(tensor, pos)
models/dino/transformer_deformable.py:253
↓ 1 callersMethodwith_pos_embed
(tensor, pos)
models/dino/deformable_transformer.py:798
FunctionPYBIND11_MODULE
models/dino/ops/src/vision.cpp:13
Method__call__
(self)
run_with_submitit.py:55
Method__call__
(self, img, target)
datasets/transforms.py:153
Method__call__
(self, img, target)
datasets/transforms.py:161
Method__call__
(self, img: PIL.Image.Image, target: dict)
datasets/transforms.py:171
Method__call__
(self, img, target)
datasets/transforms.py:182
Method__call__
(self, img, target)
datasets/transforms.py:194
Method__call__
(self, img, target=None)
datasets/transforms.py:206
Method__call__
(self, img, target)
datasets/transforms.py:215
Method__call__
(self, img, target)
datasets/transforms.py:231
Method__call__
(self, img, target)
datasets/transforms.py:238
Method__call__
(self, img, target)
datasets/transforms.py:247
Method__call__
(self, image, target=None)
datasets/transforms.py:256
Method__call__
(self, image, target)
datasets/transforms.py:274
Method__call__
img (PIL Image or Tensor): Image to be adjusted.
datasets/sltransform.py:18
Method__call__
img (PIL Image or Tensor): Image to be adjusted.
datasets/sltransform.py:30
Method__call__
(self, img, target)
datasets/sltransform.py:56
Method__call__
(self, img, target)
datasets/sltransform.py:162
Method__call__
(self, img, target)
datasets/sltransform.py:175
Method__call__
(self, img, target)
datasets/sltransform.py:192
Method__call__
(self, img, target)
datasets/sltransform.py:211
Method__call__
Input: target['boxes']: xyxy, unnormalized data.
datasets/sltransform.py:229
Method__call__
(self, target, img=None)
datasets/coco.py:34
Method__call__
(self, target, img=None)
datasets/coco.py:53
Method__call__
(self, target, img=None)
datasets/coco.py:79
Method__call__
(self, target, img=None)
datasets/coco.py:154
Method__call__
(self, target, img=None)
datasets/coco.py:180
Method__call__
(self, target, img)
datasets/coco.py:201
Method__call__
(self, target, img=None)
datasets/coco.py:224
Method__call__
(self, target, img=None)
datasets/coco.py:246
Method__call__
(self, target, img)
datasets/coco.py:292
Method__call__
(self, image, target)
datasets/coco.py:393
Method__call__
(self, refanchors: Tensor)
models/dino/utils.py:68
Method__call__
(self, parser, namespace, values, option_string=None)
util/slconfig.py:431
Method__call__
(self, idx)
util/misc.py:572
Method__call__
(self, attnmap)
util/visualizer.py:46
Method__getattr__
(self, name)
util/slconfig.py:33
Method__getattr__
(self, attr)
util/misc.py:178
Method__getitem__
Args: index (int): Index Returns: tuple: (image, target) where target is class_index of the target class.
datasets/dataset.py:21
Method__getitem__
(self, idx)
datasets/coco_panoptic.py:34
Method__getitem__
Output: - target: dict of multiple items - boxes: Tensor[num_box, 4]. \ Init type: x0,y0,x1,y
datasets/coco.py:343
Method__getitem__
(self, name)
util/slconfig.py:341
Method__init__
(self, args)
run_with_submitit.py:52
Method__init__
(self, size)
datasets/transforms.py:150
Method__init__
(self, size)
datasets/transforms.py:158
Method__init__
(self, min_size: int, max_size: int)
datasets/transforms.py:167
Method__init__
(self, size)
datasets/transforms.py:179
Method__init__
(self, p=0.5)
datasets/transforms.py:191
Method__init__
(self, sizes, max_size=None)
datasets/transforms.py:201
Method__init__
(self, max_pad)
datasets/transforms.py:212
Method__init__
(self, transforms1, transforms2, p=0.5)
datasets/transforms.py:226
Method__init__
(self, *args, **kwargs)
datasets/transforms.py:244
Method__init__
(self, mean, std)
datasets/transforms.py:252
Method__init__
(self, transforms)
datasets/transforms.py:271
Method__init__
(self, coco_gt, iou_types, useCats=True)
datasets/coco_eval.py:23
Method__init__
(self, ann_file, ann_folder, output_dir="panoptic_eval")
datasets/panoptic_eval.py:14
Method__init__
(self, tsv_file, transform=None, target_transform=None)
datasets/dataset.py:16
Method__init__
(self, contrast_factor)
datasets/sltransform.py:15
Method__init__
(self, brightness_factor)
datasets/sltransform.py:27
Method__init__
(self)
datasets/sltransform.py:53
Method__init__
(self, angle=10)
datasets/sltransform.py:159
Method__init__
(self)
datasets/sltransform.py:172
Method__init__
(self)
datasets/sltransform.py:189
Method__init__
(self, transformslist, p=-1)
datasets/sltransform.py:206
Method__init__
(self)
datasets/sltransform.py:217
Method__init__
(self, img_folder, ann_folder, ann_file, transforms=None, return_masks=True)
datasets/coco_panoptic.py:16
Method__init__
(self)
datasets/coco.py:30
Method__init__
(self, num_class=80, num_output_objs=1)
datasets/coco.py:47
Method__init__
(self)
datasets/coco.py:76
Method__init__
(self, num_classes, leave_one_out=False, blank_prob=0.8, prob_first_item = 0.0,
datasets/coco.py:91
Method__init__
(self, p=0.2)
datasets/coco.py:177
Method__init__
(self, max_ratio = 0.02, generate_samples = 1000)
datasets/coco.py:190
Method__init__
(self, factor=0.5)
datasets/coco.py:221
Method__init__
(self, num_class=80)
datasets/coco.py:242
Method__init__
(self, img_folder, ann_file, transforms, return_masks, aux_target_hacks=None)
datasets/coco.py:324
Method__init__
(self, return_masks=False)
datasets/coco.py:390
Method__init__
(self, name)
models/registry.py:14
Method__init__
(self, x_noise_scale=0.2, y_noise_scale=0.2, w_noise_scale=0.2, h_noise_scale=0.2)
models/dino/utils.py:65
Method__init__
(self, input_dim, hidden_dim, output_dim, num_layers)
models/dino/utils.py:110
Method__init__
(self, in_chans=3, num_classes=1000, depths=[3, 3, 9, 3], dims=[96, 192, 384, 768], drop_pat
models/dino/convnext.py:69
← previousnext →201–300 of 501, ranked by callers