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Functions260 in github.com/Curt-Park/yolo-world-with-efficientvit-sam

⨍ Functions 260◇ Types & classes 51
Functionefficientvit_seg_b2
(dataset: str, **kwargs)
efficientvit/models/efficientvit/seg.py:194
Functionefficientvit_seg_b3
(dataset: str, **kwargs)
efficientvit/models/efficientvit/seg.py:234
Functionefficientvit_seg_l1
(dataset: str, **kwargs)
efficientvit/models/efficientvit/seg.py:274
Functionefficientvit_seg_l2
(dataset: str, **kwargs)
efficientvit/models/efficientvit/seg.py:316
Methodepoch_format
(self, epoch: int)
efficientvit/apps/trainer/run_config.py:117
Methodeval_network
(self)
efficientvit/apps/trainer/base.py:41
Functionexport_onnx
Export a model to a platform-specific onnx format. Args: model: a torch.nn.Module object. export_path: export location. s
efficientvit/apps/utils/export.py:16
Methodforward
(self, img: torch.Tensor)
efficientvit/apps/data_provider/random_resolution/controller.py:81
Methodforward
(self, feed_dict: dict[str, torch.Tensor])
efficientvit/models/efficientvit/cls.py:50
Methodforward
(self, x: torch.Tensor)
efficientvit/models/efficientvit/cls.py:63
Methodforward
(self, x: torch.Tensor)
efficientvit/models/efficientvit/sam.py:186
Methodforward
(self, x: torch.Tensor)
efficientvit/models/efficientvit/backbone.py:144
Methodforward
(self, x: torch.Tensor)
efficientvit/models/efficientvit/backbone.py:331
Methodforward
(self, x: torch.Tensor)
efficientvit/models/efficientvit/seg.py:121
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/drop.py:76
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:70
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:95
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:125
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:138
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:183
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:237
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:284
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:329
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:443
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:490
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:522
Methodforward
(self, feature_dict: dict[str, torch.Tensor])
efficientvit/models/nn/ops.py:555
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/ops.py:582
Methodforward
(self, x: torch.Tensor)
efficientvit/models/nn/norm.py:15
Methodget_count
(self)
efficientvit/apps/utils/metric.py:27
Methodget_lr
(self)
efficientvit/apps/utils/lr.py:28
Methodget_remaining_epoch
(self, epoch, post=True)
efficientvit/apps/trainer/run_config.py:114
Functionget_worker_info
r"""Returns the information about the current :class:`~torch.utils.data.DataLoader` iterator worker process. When called in a worker, this re
efficientvit/apps/data_provider/random_resolution/_data_worker.py:104
Functioninit_model
( network: nn.Module, init_from: str or None = None, backbone_init_from: str or None = None, r
efficientvit/apps/setup.py:120
Functionlambda_forward
(x)
efficientvit/models/nn/norm.py:68
Methodmultiprocessing_context
(self)
efficientvit/apps/data_provider/random_resolution/_data_loader.py:411
Methodmultires_validate
( self, model=None, data_loader=None, is_test=True, epoch=0, e
efficientvit/apps/trainer/base.py:181
Methodnetwork
(self)
efficientvit/apps/trainer/base.py:37
Methodnone_allowed
(self)
efficientvit/apps/trainer/run_config.py:37
Functionparse_unknown_args
Parse unknown args.
efficientvit/apps/utils/misc.py:32
Methodprep_for_training
( self, run_config: RunConfig, ema_decay: float or None = None, fp16=False )
efficientvit/apps/trainer/base.py:211
Methodprogress
(self)
efficientvit/apps/trainer/run_config.py:105
Functionrand_bbox
randomly sample bbox, used in cutmix
efficientvit/apps/data_provider/augment/bbox.py:10
Functionresolve_and_load_config
(path: str, config_name="config.yaml")
efficientvit/apps/utils/misc.py:76
Methodrun_step
(self, feed_dict: dict[str, any])
efficientvit/apps/trainer/base.py:264
Methodsample_val_dataset
(self, train_dataset, valid_transform)
efficientvit/apps/data_provider/base.py:174
Functionsave_exp_config
(exp_config: dict, path: str, name="config.yaml")
efficientvit/apps/setup.py:34
Methodset_epoch
(epoch: int, batch_per_epoch: int)
efficientvit/apps/data_provider/random_resolution/controller.py:35
Functionsetup_data_provider
( exp_config: dict, data_provider_classes: list[type[DataProvider]], is_distributed: bool = True,
efficientvit/apps/setup.py:85
Functionsetup_dist_env
(gpu: str or None = None)
efficientvit/apps/setup.py:40
Functionsetup_exp_config
( config_path: str, recursive=True, opt_args: dict or None = None )
efficientvit/apps/setup.py:57
Functionsetup_run_config
(exp_config: dict, run_config_cls: type[RunConfig])
efficientvit/apps/setup.py:110
Functionsetup_seed
(manual_seed: int, resume: bool)
efficientvit/apps/setup.py:49
Functionsqueeze_list
(x: list or None)
efficientvit/models/utils/list.py:53
Methodstep
(self, model: nn.Module, global_step: int)
efficientvit/apps/utils/ema.py:35
Methodsync_model
(self)
efficientvit/apps/trainer/base.py:235
Functiontorch_randint
uniform: [low, high)
efficientvit/models/utils/random.py:17
Functiontorch_shuffle
( src_list: list[any], generator: torch.Generator or None = None )
efficientvit/models/utils/random.py:33
Methodtrain_one_epoch
(self, epoch: int)
efficientvit/apps/trainer/base.py:287
Functionweighted_list_sum
(x: list, weights: list)
efficientvit/models/utils/list.py:24
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