Method__init__(
self,
config_dict,
basedir,
sequence,
stride: Optional[int] = None,
datasets/gradslam_datasets/scannet.py:14
Method__init__(
self,
config_dict,
basedir,
sequence,
stride: Optional[int] = None,
datasets/gradslam_datasets/replica.py:14
Method__init__(self, base_value, final_value, total_iters, warmup_iters=0, start_warmup_value=0, freeze_iters=0)
segmentation/facebookresearch_dinov2_main/dinov2/utils/utils.py:69
Method__init__(
self,
*,
size: int,
sample_count: int,
shuffle: bool = False,
segmentation/facebookresearch_dinov2_main/dinov2/data/samplers.py:19
Method__init__(
self,
*,
sample_count: int,
shuffle: bool = False,
seed: int = 0,
segmentation/facebookresearch_dinov2_main/dinov2/data/samplers.py:80
Method__init__(
self,
*,
sample_count: int,
shuffle: bool = False,
seed: int = 0,
segmentation/facebookresearch_dinov2_main/dinov2/data/samplers.py:167
Method__init__(
self,
*,
split: "ImageNet.Split",
root: str,
extra: str,
tra
segmentation/facebookresearch_dinov2_main/dinov2/data/datasets/image_net.py:60
Method__init__(
self,
in_dim,
out_dim,
use_bn=False,
nlayers=3,
hidden_dim=2
segmentation/facebookresearch_dinov2_main/dinov2/layers/dino_head.py:14
Method__init__(
self,
img_size: Union[int, Tuple[int, int]] = 224,
patch_size: Union[int, Tuple[int,
segmentation/facebookresearch_dinov2_main/dinov2/layers/patch_embed.py:38
Functionchannels_firstr"""Converts from channels last representation :math:`(*, H, W, C)` to channels first representation :math:`(*, C, H, W)` Args: rgb (
datasets/gradslam_datasets/datautils.py:34
Functioncollate_data_and_cast(samples_list, mask_ratio_tuple, mask_probability, dtype, n_tokens=None, mask_generator=None)
segmentation/facebookresearch_dinov2_main/dinov2/data/collate.py:11