Method__init__(self, inplanes, planes, stride, downsample, pad, dilation)
stereo/modeling/models/casnet/submodule.py:66
Method__init__(self, args, cfgs, local_rank, global_rank, logger, tb_writer)
stereo/modeling/models/casnet/trainer.py:13
Method__init__(self, args, cfgs, local_rank, global_rank, logger, tb_writer)
stereo/modeling/models/foundationstereo/trainer.py:20
Method__init__(self, in_channels, out_channels, deconv=False, is_3d=False, bn=True, relu=True, norm='batch', **kwargs)
stereo/modeling/models/foundationstereo/core/submodule.py:51
Method__init__(self, C_in, C_out, hidden=None, kernel_size=3, kernel_disp=None, stride=1, norm=nn.BatchNorm3d)
stereo/modeling/models/foundationstereo/core/submodule.py:88
Method__init__(self, inplanes, planes, kernel_size=3, stride=1, padding=1, downsample=None, groups=1, base_width=64, dilatio
stereo/modeling/models/foundationstereo/core/submodule.py:118
Method__init__(self, inplanes, planes, kernel_size=3, stride=1, padding=1, downsample=None, groups=1, base_width=64, dilatio
stereo/modeling/models/foundationstereo/core/submodule.py:158
Method__init__(self, embed_dim, num_heads, dim_feedforward, dropout=0.1, act=nn.GELU, norm=nn.LayerNorm)
stereo/modeling/models/foundationstereo/core/submodule.py:268
Method__init__(self, C_in, C_out, is_3d=False, kernel_size=3, bias=True, stride=1, padding=1)
stereo/modeling/models/foundationstereo/core/submodule.py:296
Method__init__(self, in_channels, out_channels, deconv=False, is_3d=False, IN=True, relu=True, **kwargs)
stereo/modeling/models/foundationstereo/core/submodule.py:356
Method__init__(self, in_channels, out_channels, deconv=False, is_3d=False, concat=True, keep_concat=True, IN=True, relu=True
stereo/modeling/models/foundationstereo/core/submodule.py:385
Method__init__(self, d_model, nhead, dim_feedforward, dropout=0.1, act=nn.GELU, norm_first=False, num_transformer=6, max_len
stereo/modeling/models/foundationstereo/core/submodule.py:541
Method__init__(self, dim, layer_scale_init_value=1e-6, expan_ratio=4, kernel_size=7, norm='layer')
stereo/modeling/models/foundationstereo/core/submodule.py:600
Method__init__(self, init_fmap1, init_fmap2, geo_volume, num_levels=2, dx=None)
stereo/modeling/models/foundationstereo/core/geometry.py:16
Method__init__(self, hidden_dim=128, input_dim=256, small_kernel_size=1, large_kernel_size=3, patch_size=None)
stereo/modeling/models/foundationstereo/core/update.py:97
Method__init__(self, encoder='vitl', features=256, out_channels=[256, 512, 1024, 1024], use_bn=False, use_clstoken=False, pr
stereo/modeling/models/foundationstereo/depth_anything/dpt.py:149
Method__init__(self, base_value, final_value, total_iters, warmup_iters=0, start_warmup_value=0, freeze_iters=0)
stereo/modeling/models/foundationstereo/dinov2/utils/utils.py:68
Method__init__(
self,
*,
size: int,
sample_count: int,
shuffle: bool = False,
stereo/modeling/models/foundationstereo/dinov2/data/samplers.py:18
Method__init__(
self,
*,
sample_count: int,
shuffle: bool = False,
seed: int = 0,
stereo/modeling/models/foundationstereo/dinov2/data/samplers.py:79
Method__init__(
self,
*,
sample_count: int,
shuffle: bool = False,
seed: int = 0,
stereo/modeling/models/foundationstereo/dinov2/data/samplers.py:166
Method__init__(
self,
*,
split: "ImageNet.Split",
root: str,
extra: str,
tra
stereo/modeling/models/foundationstereo/dinov2/data/datasets/image_net.py:59
Method__init__(self, num, pos_fraction, neg_pos_ub=-1, add_gt_as_proposals=True, **kwargs)
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/core/box/samplers/base_sampler.py:16
Method__init__(self, pos_inds, neg_inds, masks, gt_masks, assign_result, gt_flags)
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/core/box/samplers/mask_sampling_result.py:17
Method__init__(self, pos_inds, neg_inds, bboxes, gt_bboxes, assign_result, gt_flags)
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/core/box/samplers/sampling_result.py:28
Method__init__(
self,
backbone,
decode_head,
neck=None,
auxiliary_head=None,
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/segmentors/encoder_decoder_mask2former.py:25
Method__init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.0)
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/adapter_modules.py:50
Method__init__(
self,
dim,
num_heads=6,
n_points=4,
n_levels=1,
deform_ratio
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/adapter_modules.py:89
Method__init__(
self,
dim,
num_heads=6,
n_points=4,
n_levels=1,
deform_ratio
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/adapter_modules.py:137
Method__init__(
self,
dim,
num_heads=6,
n_points=4,
norm_layer=partial(nn.LayerNorm,
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/adapter_modules.py:174
Method__init__(
self,
dim,
num_heads=6,
n_points=4,
norm_layer=partial(nn.LayerNorm,
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/adapter_modules.py:269
Method__init__(
self, img_size=224, patch_size=16, in_chans=3, embed_dim=768, norm_layer=None, flatten=True, bias=Tr
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/vit.py:108
Method__init__(self, dim, num_heads=8, qkv_bias=False, attn_drop=0.0, proj_drop=0.0)
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/vit.py:133
Method__init__(
self, dim, num_heads=8, qkv_bias=False, attn_drop=0.0, proj_drop=0.0, window_size=14, pad_mode="cons
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/vit.py:225
Method__init__(
self,
dim,
num_heads,
mlp_ratio=4.0,
qkv_bias=False,
drop=0.
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/vit.py:320
Method__init__(
self,
pretrain_size=224,
num_heads=12,
conv_inplane=64,
n_points=4,
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/vit_adapter.py:21
Method__init__(self, num_feats, row_num_embed=50, col_num_embed=50, init_cfg=dict(type="Uniform", layer="Embedding"))
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/utils/positional_encoding.py:113
Method__init__(
self,
in_channels,
out_channels,
kernel_size=2,
stride=None,
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/utils/transformer.py:133