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Functions1,152 in github.com/YunzeMan/Situation3D

⨍ Functions 1,152◇ Types & classes 257↳ Endpoints 2
Method__init__
(self, radius, nsample, use_xyz=True, ret_grouped_xyz=False, normalize_xyz=False, sample_uniformly=False, ret_
lib/pointnet2/pointnet2_utils.py:306
Method__init__
(self)
lib/pointnet2/pointnet2_modules.py:28
Method__init__
( self, *, npoint: int, radii: List[float], nsampl
lib/pointnet2/pointnet2_modules.py:95
Method__init__
( self, *, mlp: List[int], npoint: int = None, rad
lib/pointnet2/pointnet2_modules.py:168
Method__init__
( self, *, mlps: List[List[int]], npoint: int, rad
lib/pointnet2/pointnet2_modules.py:283
Method__init__
(self, *, mlp: List[int], bn: bool = True)
lib/pointnet2/pointnet2_modules.py:372
Method__init__
( self, *, mlps: List[List[int]], radii: List[float],
lib/pointnet2/pointnet2_modules.py:427
Method__init__
Args: voxel_size: side length of a voxel clip_bound: boundary of the voxelizer. Points outside the bound will be deleted
lib/openscene/voxelizer.py:17
Method__init__
Args: voxel_size: side length of a voxel ignore_label: label assigned for ignore (not a training label).
lib/openscene/voxelizer_dev.py:17
Method__init__
trans_range_ratio: ratio of translation i.e. 255 * 2 * ratio * rand(-0.5, 0.5)
lib/openscene/augmentation.py:21
Method__init__
(self, randomize_blend_factor=True, blend_factor=0.5)
lib/openscene/augmentation.py:36
Method__init__
(self, std=0.01)
lib/openscene/augmentation.py:60
Method__init__
(self, hue_max, saturation_max)
lib/openscene/augmentation.py:119
Method__init__
upright_axis: axis index among x,y,z, i.e. 2 for z
lib/openscene/augmentation.py:140
Method__init__
(self, distortion_params)
lib/openscene/augmentation.py:161
Method__init__
(self, transforms)
lib/openscene/augmentation.py:207
Method__init__
(self, limit_numpoints)
lib/openscene/augmentation.py:224
Method__init__
(self, limit_numpoints)
lib/openscene/augmentation.py:267
Method__init__
(self, datapath_prefix, datapath_prefix_feat, voxel_size=0.
lib/openscene/feature_loader.py:15
Method__init__
(self, datapath_prefix='data', voxel_size=0.05, split='train', aug=False, memcache_init=False
lib/openscene/point_loader.py:67
Method__init__
(self, cfg, task, model, datasets, job_id)
3DLLM_BLIP2-base/lavis/runners/runner_iter.py:41
Method__init__
(self, cfg, task, model, datasets, job_id)
3DLLM_BLIP2-base/lavis/runners/runner_base.py:47
Method__init__
(self, cfg)
3DLLM_BLIP2-base/lavis/tasks/retrieval.py:21
Method__init__
(self)
3DLLM_BLIP2-base/lavis/tasks/image_text_pretrain.py:14
Method__init__
(self)
3DLLM_BLIP2-base/lavis/tasks/multimodal_classification.py:21
Method__init__
(self, num_beams, max_len, min_len, evaluate, report_metric=True)
3DLLM_BLIP2-base/lavis/tasks/dialogue.py:22
Method__init__
( self, num_beams, max_len, min_len, evaluate, num_ans_candida
3DLLM_BLIP2-base/lavis/tasks/vqa_reading_comprehension.py:24
Method__init__
(self, **kwargs)
3DLLM_BLIP2-base/lavis/tasks/base_task.py:20
Method__init__
( self, num_beams, max_len, min_len, evaluate, num_ans_candida
3DLLM_BLIP2-base/lavis/tasks/vqa.py:21
Method__init__
(self, num_beams, max_len, min_len, evaluate, report_metric=True)
3DLLM_BLIP2-base/lavis/tasks/captioning.py:18
Method__init__
(self, args)
3DLLM_BLIP2-base/lavis/common/config.py:17
Method__init__
(self, name, choices=None, type=None, help=None)
3DLLM_BLIP2-base/lavis/common/config.py:192
Method__init__
(self, description)
3DLLM_BLIP2-base/lavis/common/config.py:209
Method__init__
( self, optimizer, max_epoch, min_lr, init_lr, decay_rate=1, warmup_start_lr=-1, warmup_steps=0, **kwa
3DLLM_BLIP2-base/lavis/common/optims.py:15
Method__init__
(self, optimizer, max_epoch, min_lr, init_lr, warmup_steps=0, warmup_start_lr=-1, **kwargs)
3DLLM_BLIP2-base/lavis/common/optims.py:50
Method__init__
(self, window_size=20, fmt=None)
3DLLM_BLIP2-base/lavis/common/logger.py:24
Method__init__
(self, delimiter="\t")
3DLLM_BLIP2-base/lavis/common/logger.py:83
Method__init__
(self, *args, **kwargs)
3DLLM_BLIP2-base/lavis/common/logger.py:179
Method__init__
Constructor of VQA helper class for reading and visualizing questions and answers. :param annotation_file (str): location of VQA anno
3DLLM_BLIP2-base/lavis/common/vqa_tools/vqa.py:32
Method__init__
(self, vqa=None, vqaRes=None, n=2)
3DLLM_BLIP2-base/lavis/common/vqa_tools/vqa_eval.py:19
Method__init__
(self)
3DLLM_BLIP2-base/lavis/datasets/builders/__init__.py:52
Method__init__
(self, cfg=None)
3DLLM_BLIP2-base/lavis/datasets/builders/base_dataset_builder.py:26
Method__init__
(self, datasets: Iterable[Dataset])
3DLLM_BLIP2-base/lavis/datasets/datasets/base_dataset.py:43
Method__init__
vis_root (string): Root directory of images (e.g. coco/images/) ann_root (string): directory to store the annotation file spl
3DLLM_BLIP2-base/lavis/datasets/datasets/threedvqa_datasets.py:106
Method__init__
vis_root (string): Root directory of images (e.g. coco/images/) ann_root (string): directory to store the annotation file spl
3DLLM_BLIP2-base/lavis/datasets/datasets/threedvqa_datasets.py:165
Method__init__
(self, vis_processor, text_processor, vis_root, ann_paths)
3DLLM_BLIP2-base/lavis/datasets/datasets/vqa_datasets.py:35
Method__init__
(self, loaders, ratios=None)
3DLLM_BLIP2-base/lavis/datasets/datasets/dataloader_utils.py:24
Method__init__
(self, loader)
3DLLM_BLIP2-base/lavis/datasets/datasets/dataloader_utils.py:52
Method__init__
(self, dataloader: DataLoader, use_distributed: bool = False)
3DLLM_BLIP2-base/lavis/datasets/datasets/dataloader_utils.py:133
Method__init__
( self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_
3DLLM_BLIP2-base/lavis/models/vit.py:55
Method__init__
( self, dim, num_heads, mlp_ratio=4.0, qkv_bias=False, qk_scal
3DLLM_BLIP2-base/lavis/models/vit.py:112
Method__init__
Args: img_size (int, tuple): input image size patch_size (int, tuple): patch size in_chans (int): number
3DLLM_BLIP2-base/lavis/models/vit.py:163
Method__init__
(self, spacial_dim: int, embed_dim: int, num_heads: int, output_dim: int = None)
3DLLM_BLIP2-base/lavis/models/clip_vit.py:69
Method__init__
(self, d_model: int, n_head: int, attn_mask: torch.Tensor = None, use_grad_checkpointing=False)
3DLLM_BLIP2-base/lavis/models/clip_vit.py:122
Method__init__
( self, width: int, layers: int, heads: int, attn_mask: torch.Tensor = None, use_grad_checkpointing=Fa
3DLLM_BLIP2-base/lavis/models/clip_vit.py:154
Method__init__
( self, input_resolution: int, patch_size: int, width: int, layers: int, heads: int, use_grad_checkpoi
3DLLM_BLIP2-base/lavis/models/clip_vit.py:169
Method__init__
(self)
3DLLM_BLIP2-base/lavis/models/base_model.py:120
Method__init__
(self)
3DLLM_BLIP2-base/lavis/models/__init__.py:178
Method__init__
(self, drop_prob=None)
3DLLM_BLIP2-base/lavis/models/eva_vit.py:38
Method__init__
( self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_
3DLLM_BLIP2-base/lavis/models/eva_vit.py:70
Method__init__
( self, dim, num_heads, mlp_ratio=4.0, qkv_bias=False, qk_scal
3DLLM_BLIP2-base/lavis/models/eva_vit.py:166
Method__init__
(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768)
3DLLM_BLIP2-base/lavis/models/eva_vit.py:219
Method__init__
(self, window_size, num_heads)
3DLLM_BLIP2-base/lavis/models/eva_vit.py:242
Method__init__
( self, img_size=224, patch_size=16, in_chans=3, num_classes=1000,
3DLLM_BLIP2-base/lavis/models/eva_vit.py:283
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/med.py:59
Method__init__
(self, config, is_cross_attention)
3DLLM_BLIP2-base/lavis/models/med.py:115
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/med.py:249
Method__init__
(self, config, is_cross_attention=False)
3DLLM_BLIP2-base/lavis/models/med.py:263
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/med.py:315
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/med.py:330
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/med.py:442
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/med.py:565
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/med.py:580
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/med.py:597
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/med.py:617
Method__init__
(self, config, add_pooling_layer=True)
3DLLM_BLIP2-base/lavis/models/med.py:659
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/med.py:907
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/med.py:1020
Method__init__
( self, vit_model="eva_clip_g", img_size=224, drop_path_rate=0, use_gr
3DLLM_BLIP2-base/lavis/models/blip2_models/blip2_qformer.py:44
Method__init__
apply_lemmatizer: when set to True, postprocess predict_answers() result with lemmas.
3DLLM_BLIP2-base/lavis/models/blip2_models/blip2_t5.py:33
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:54
Method__init__
(self, config, is_cross_attention)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:102
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:236
Method__init__
(self, config, is_cross_attention=False)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:250
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:303
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:318
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:432
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:530
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:545
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:562
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:582
Method__init__
(self, config, add_pooling_layer=False)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:624
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:876
Method__init__
(self, config)
3DLLM_BLIP2-base/lavis/models/blip2_models/Qformer.py:1030
Method__init__
( self, vit_model="eva_clip_g", img_size=224, drop_path_rate=0, use_gr
3DLLM_BLIP2-base/lavis/models/blip2_models/blip2_opt.py:41
Method__init__
Construct a layernorm module in the T5 style. No bias and no subtraction of mean.
3DLLM_BLIP2-base/lavis/models/blip2_models/modeling_t5.py:250
Method__init__
(self, config: T5Config)
3DLLM_BLIP2-base/lavis/models/blip2_models/modeling_t5.py:291
Method__init__
(self, config: T5Config)
3DLLM_BLIP2-base/lavis/models/blip2_models/modeling_t5.py:307
Method__init__
(self, config: T5Config)
3DLLM_BLIP2-base/lavis/models/blip2_models/modeling_t5.py:325
Method__init__
(self, config: T5Config, has_relative_attention_bias=False)
3DLLM_BLIP2-base/lavis/models/blip2_models/modeling_t5.py:343
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