Functions — github.com/One-2-3-45/One-2-3-45

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Functions1,158 in github.com/One-2-3-45/One-2-3-45

⨍ Functions 1,158◇ Types & classes 214

↓ 1 callersFunctionstage2_run

(model, device, exp_dir, elev, scale, stage2_steps=50)

run.py:48

↓ 1 callersFunctionsynset2idx

(path_to_yaml="data/index_synset.yaml")

ldm/data/imagenet.py:20

↓ 1 callersMethodtrain

(self)

reconstruction/exp_runner_generic_blender_train.py:210

↓ 1 callersMethodtrain_dataloader

(self)

ldm/data/laion.py:211

↓ 1 callersMethodtrain_step

(self, sample, perturb_overwrite=-1, background_rgb=None,

reconstruction/models/trainer_generic.py:158

↓ 1 callersFunctiontricubic_interpolate

three dimensional cubic interpolation :param p: [N,4,4,4] :param x: [N] :param y: [N] :param z: [N] :return:

reconstruction/ops/grid_sampler.py:278

↓ 1 callersFunctiontricubic_sample_3d

tricubic sampling; can guarantee continuous gradient (interpolation border) :param volume: [B, C, ID, IH, IW] :param optical: [B, D, H,

reconstruction/ops/grid_sampler.py:349

↓ 1 callersMethodupdate_figure

(self)

demo/app.py:141

↓ 1 callersMethodval_step

(self, sample, perturb_overwrite=-1, background_rgb=None, a

reconstruction/models/trainer_generic.py:359

↓ 1 callersFunctionvis_mask

Visualizes a single binary mask.

elevation_estimate/utils/plt_utils.py:158

↓ 1 callersMethodwarmup

(self)

ldm/modules/evaluate/adm_evaluator.py:156

↓ 1 callersMethodweight_initialization

(self)

reconstruction/tsparse/modules.py:223

↓ 1 callersMethodwrite_logs

(self, loss, logits, targets)

ldm/models/diffusion/classifier.py:162

↓ 1 callersFunctionzero_module

Zero out the parameters of a module and return it.

ldm/modules/attention.py:67

FunctionIR_101

Constructs a ir-101 model.

ldm/thirdp/psp/model_irse.py:59

FunctionIR_152

Constructs a ir-152 model.

ldm/thirdp/psp/model_irse.py:65

FunctionIR_50

Constructs a ir-50 model.

ldm/thirdp/psp/model_irse.py:53

FunctionIR_SE_101

Constructs a ir_se-101 model.

ldm/thirdp/psp/model_irse.py:77

FunctionIR_SE_152

Constructs a ir_se-152 model.

ldm/thirdp/psp/model_irse.py:83

FunctionIR_SE_50

Constructs a ir_se-50 model.

ldm/thirdp/psp/model_irse.py:71

Method__call__

(self, n, **kwargs)

ldm/lr_scheduler.py:32

Method__call__

(self, n, **kwargs)

ldm/lr_scheduler.py:77

Method__call__

(self, sample)

ldm/data/laion.py:239

Method__call__

(self, sample)

ldm/data/laion.py:262

Method__call__

(self, sample)

ldm/data/laion.py:280

Method__call__

(self, sample)

ldm/data/laion.py:304

Method__getitem__

(self, idx)

reconstruction/data/One2345_eval_new_data.py:139

Method__getitem__

(self, idx)

reconstruction/data/One2345_train.py:163

Method__getitem__

(self, index)

ldm/data/simple.py:65

Method__getitem__

(self, index)

ldm/data/simple.py:155

Method__getitem__

(self, index)

ldm/data/simple.py:287

Method__getitem__

(self, index)

ldm/data/simple.py:382

Method__getitem__

(self, index)

ldm/data/simple.py:426

Method__getitem__

(self, index)

ldm/data/simple.py:513

Method__getitem__

(self, i)

ldm/data/imagenet.py:42

Method__getitem__

(self, i)

ldm/data/imagenet.py:339

ldm/data/nerf_like.py:55

Method__getitem__

(self, idx)

ldm/data/nerf_like.py:98

Method__getitem__

(self, idx)

ldm/data/nerf_like.py:139

Method__init__

(self, config)

elevation_estimate/loftr/loftr.py:13

Method__init__

(self, config)

elevation_estimate/loftr/backbone/resnet_fpn.py:49

Method__init__

(self, config)

elevation_estimate/loftr/backbone/resnet_fpn.py:127

Method__init__

(self)

elevation_estimate/loftr/utils/fine_matching.py:12

Method__init__

Args: max_shape (tuple): for 1/8 featmap, the max length of 256 corresponds to 2048 pixels temp_bug_fix (bool): As no

elevation_estimate/loftr/utils/position_encoding.py:11

Method__init__

(self, config)

elevation_estimate/loftr/utils/coarse_matching.py:60

Method__init__

(self, eps=1e-6)

elevation_estimate/loftr/loftr_module/linear_attention.py:15

Method__init__

(self, config)

elevation_estimate/loftr/loftr_module/fine_preprocess.py:8

Method__init__

(self, config)

elevation_estimate/loftr/loftr_module/transformer.py:64

Method__init__

(self, conf_path, mode='train', is_continue=False, is_restore=False, restore_lod0=False, loca

reconstruction/exp_runner_generic_blender_train.py:31

Method__init__

(self, conf_path, mode='train', is_continue=False, is_restore=False, restore_lod0=False, loca

reconstruction/exp_runner_generic_blender_val.py:27

Method__init__

(self, in_channels, out_channels, kernel_size=3, stride=1, pad=1)

reconstruction/tsparse/modules.py:14

Method__init__

(self, in_channels, out_channels, kernel_size=3, stride=1, pad=1)

reconstruction/tsparse/modules.py:27

Method__init__

(self)

reconstruction/tsparse/modules.py:45

Method__init__

(self, inc, outc, ks=3, stride=1, dilation=1)

reconstruction/tsparse/modules.py:95

Method__init__

(self, inc, outc, ks=3, stride=1)

reconstruction/tsparse/modules.py:112

Method__init__

(self, inc, outc, ks=3, stride=1, dilation=1)

reconstruction/tsparse/modules.py:128

Method__init__

(self, d_in, d_out=8)

reconstruction/tsparse/modules.py:265

Method__init__

(self, inc, outc, pres, vres, ks=3, stride=1, dilation=1)

reconstruction/tsparse/modules.py:308

Method__init__

(self, root_dir, split, img_wh=(256, 256), downSample=1.0, N_rays=512, vol_d

reconstruction/data/One2345_eval_new_data.py:60

Method__init__

(self, root_dir, split, img_wh=(256, 256), downSample=1.0, N_rays=512, vol_d

reconstruction/data/One2345_train.py:59

Method__init__

(self, patch_size)

reconstruction/models/patch_projector.py:12

Method__init__

(self, in_channels, out_channels, kernel_size=3, stride=1, pad=1, norm_act=I

reconstruction/models/featurenet.py:26

Method__init__

(self, norm_act=InPlaceABN)

reconstruction/models/featurenet.py:45

Method__init__

(self)

reconstruction/models/fast_renderer.py:10

Method__init__

(self, d_in, d_out, d_hidden, n_layers,

reconstruction/models/fields.py:11

Method__init__

(self, d_in, d_out, d_hidden, n_layers, skip_in=(4,), multires=0)

reconstruction/models/fields.py:113

Method__init__

(self, base)

reconstruction/models/fields.py:167

Method__init__

(self, init_val=1.0)

reconstruction/models/fields.py:180

Method__init__

( self, d_feature, mode, d_in, d_out,

reconstruction/models/fields.py:190

Method__init__

(self, in_geometry_feat_ch=8, in_rendering_feat_ch=56, anti_alias_pooling=True)

reconstruction/models/rendering_network.py:31

Method__init__

(self, rendering_network_outside, pyramid_feature_network_lod0,

reconstruction/models/trainer_generic.py:24

Method__init__

(self, rendering_network_outside, sdf_network, variance_net

reconstruction/models/sparse_neus_renderer.py:31

Method__init__

Defines a function that embeds x to (x, sin(2^k x), cos(2^k x), ...) in_channels: number of input channels (3 for both xyz and direct

reconstruction/models/embedder.py:64

Method__init__

(self, d_in=3, d_out=129, d_hidden=128, n_

reconstruction/models/sparse_sdf_network.py:36

Method__init__

(self, lod, ch_in, voxel_size, vol_dims, hidden_dim=128, activation='softplus',

reconstruction/models/sparse_sdf_network.py:145

Method__init__

(self, voxel_size, vol_dims, origin=[-1., -1., -1.], hidden_dim=128, activat

reconstruction/models/sparse_sdf_network.py:555

Method__init__

( self, d_feature, mode, d_in, d_out,

reconstruction/models/sparse_sdf_network.py:785

Method__init__

(self, h_patch_size, mode='rgb')

reconstruction/loss/ncc.py:8

Method__init__

(self, alpha=1, beta=0.025, gama=0.01, occlusion_aware=True, weight_thred=[0.6])

reconstruction/loss/color_loss.py:18

Method__init__

(self, alpha=1, beta=0.025, gama=0.015, occlusion_aware=True, type='l1', h_patch_size=3, weig

reconstruction/loss/color_loss.py:59

Method__init__

(self, weight_thred, param)

reconstruction/loss/color_loss.py:117

Method__init__

(self)

reconstruction/loss/depth_loss.py:48

(self, warm_up_steps, lr_min, lr_max, lr_start, max_decay_steps, verbosity_interval=0)

ldm/lr_scheduler.py:8

Method__init__

(self, warm_up_steps, f_min, f_max, f_start, cycle_lengths, verbosity_interval=0)

ldm/lr_scheduler.py:41

Method__init__

AdamW that saves EMA versions of the parameters.

ldm/util.py:151

Method__init__

(self, model, decay=0.9999, use_num_upates=True)

ldm/modules/ema.py:6

Method__init__

(self, dim, max_seq_len)

ldm/modules/x_transformer.py:26

Method__init__

(self, dim)

ldm/modules/x_transformer.py:40

Method__init__

(self, fn)

ldm/modules/x_transformer.py:129

Method__init__

(self, dim, eps=1e-5)

ldm/modules/x_transformer.py:140

Method__init__

(self, dim, eps=1e-8)

ldm/modules/x_transformer.py:152

Method__init__

(self, dim)

ldm/modules/x_transformer.py:169

Method__init__

(self, dim_in, dim_out)

ldm/modules/x_transformer.py:185

Method__init__

(self, dim, dim_out=None, mult=4, glu=False, dropout=0.)

ldm/modules/x_transformer.py:195

Method__init__

( self, dim, dim_head=DEFAULT_DIM_HEAD, heads=8, c

ldm/modules/x_transformer.py:216

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