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Functions1,165 in github.com/JubSteven/POEM-v2

⨍ Functions 1,165◇ Types & classes 149

Method__getitem__

lib/datasets/arctic.py:327

Method__getitem__

lib/datasets/oakink.py:693

Method__getitem__

lib/external/cmr/data_adaptor.py:164

Method__getitem__

(self, frame_id: int)

video_tool/ffmpeg_util.py:97

(self, init_dict=None, key_list=None, new_allowed=False)

lib/utils/config.py:10

(self, log_dir, rank, **kwargs)

lib/utils/summary_writer.py:8

( self: T, exp_id: str, cfg: Dict, root_path: str = "exp", rank: Optio

lib/utils/recorder.py:28

lib/utils/testing.py:19

(self, exp_dir, val_min=0.0, val_max=0.02, steps=20)

lib/utils/testing.py:34

(self, exp_dir)

lib/utils/testing.py:78

(self, exp_dir)

lib/utils/testing.py:104

(self, img_draw_dir)

lib/utils/testing.py:305

(self, occlusion_prob=0.5)

lib/utils/transform.py:29

(self, cfg: CN)

lib/utils/transform.py:72

(self, cfg: CN)

lib/utils/transform.py:201

(self, cfg: CN)

lib/utils/transform.py:242

(self, cfg: CN)

lib/utils/transform.py:292

(self, cfg: CN)

lib/utils/transform.py:331

(self, name: Optional[str] = None)

lib/utils/logger.py:59

(self, name, build_func=None, parent=None, scope=None)

lib/utils/builder.py:80

( self, fill_back=True, )

lib/utils/neural_renderer.py:7

(self, cfg, data_preset=None, is_train=True)

lib/data_wds/multiview_wds.py:30

(self, name="")

lib/metrics/basic_metric.py:36

lib/metrics/basic_metric.py:65

(self, cfg, name="")

lib/metrics/mean_epe.py:13

(self, cfg, mesh_score=False)

lib/metrics/pa_eval.py:17

lib/metrics/pck.py:13

lib/metrics/pck.py:153

( self, device: torch.device, mano_layer: ManoLayer, img_size=256, sil

lib/fit/silhouette_loss.py:11

( self, device, image_size=256, # dup_face_back=True, )

lib/fit/pytorch3d_renderer.py:19

( self, device: torch.device, mano_layer: ManoLayer, lr: float = 1e-2,

lib/fit/frame_fit/one_frame_fit_silh.py:14

( self, device: torch.device, mano_layer: ManoLayer, lr: float = 1e-2,

lib/fit/frame_fit/one_frame_fit.py:16

(self, img_size=256, flength=500.0)

lib/viztools/opendr_renderer.py:13

(self, non_block=False, o3d=None)

lib/viztools/viz_o3d_utils.py:36

lib/datasets/hdata.py:33

lib/datasets/dexycb.py:257

lib/datasets/dexycb.py:523

lib/datasets/interhand.py:29

lib/datasets/interhand.py:215

lib/datasets/freihand.py:439

(self, *args, **kwargs)

lib/datasets/ho3d.py:464

lib/datasets/ho3d.py:502

lib/datasets/oakink2_dev.py:285

lib/datasets/yt3d.py:24

(self, cfg, dataset_list: list, max_len: int = None, data_preset: CN = None, is_train=True)

lib/datasets/mix_dataset.py:81

lib/datasets/ho3d_official_test.py:32

lib/datasets/ho3d_official_test.py:62

(self, num_kp=21)

lib/datasets/ho3d_official_test.py:323

lib/datasets/arctic.py:33

lib/datasets/arctic.py:196

lib/datasets/oakink.py:406

lib/datasets/oakink.py:634

lib/models/MVP.py:8

lib/models/PETR.py:29

lib/models/darkpose.py:72

lib/models/integal_pose.py:257

lib/models/POEM.py:38

lib/models/model_abc.py:7

(self, inplanes, planes, stride=1, downsample=None)

lib/models/backbones/hrnet.py:41

(self, inplanes, planes, stride=1, downsample=None)

lib/models/backbones/hrnet.py:73

(self, num_branches, blocks, num_blocks, n

lib/models/backbones/hrnet.py:110

(self, cfg, **kwargs)

lib/models/backbones/hrnet.py:242

(self, cfg, **kwargs)

lib/models/backbones/hrnet.py:459

lib/models/backbones/resnet.py:43

(self, inplanes, planes, stride=1, downsample=None, bn_layer=nn.BatchNorm2d)

lib/models/backbones/resnet.py:80

(self, inplanes, planes, stride=1, downsample=None, bn_layer=nn.BatchNorm2d)

lib/models/backbones/resnet.py:112

lib/models/backbones/resnet.py:314

lib/models/backbones/resnet.py:327

lib/models/backbones/resnet.py:340

lib/models/backbones/resnet.py:353

lib/models/backbones/resnet.py:366

(self, block, nblocks, in_planes, depth=4)

lib/models/backbones/hourglass.py:53

lib/models/layers/petr_transformer.py:125

(self, cfg: CN)

lib/models/layers/petr_transformer.py:190

(self, cfg: CN)

lib/models/layers/petr_transformer.py:295

(self, num_feats, temperature=10000, normalize=False, scale=2 * math.pi, eps=1e-6, offset=0)

lib/models/layers/petr_transformer.py:421

(self, position_range, img_size, d_model=256,

lib/models/layers/mvp_decoder.py:245

(self, cfg, decoder_layer, num_layers, return_intermediate=False)

lib/models/layers/mvp_decoder.py:452

lib/models/layers/ptEmb_transformer.py:25

lib/models/layers/ptEmb_transformer.py:192

lib/models/layers/ptEmb_transformer.py:306

(self, **kwargs)

lib/models/layers/mano_wrapper.py:19

(self, cfg: CN)

lib/models/bricks/transformer.py:67

(self, attn_cfgs, ffn_cfgs, operation_order=None, batch_first=False, **kwargs)

lib/models/bricks/transformer.py:275

(self, transformerlayers=None, num_layers=None)

lib/models/bricks/transformer.py:460

(self, d_points, d_model, k, IFPS=False)

lib/models/bricks/point_transformers.py:49

(self, d_points, d_model, k, expand_query_dim=False, IFPS=False)

lib/models/bricks/point_transformers.py:101

Construct a layernorm module in the TF style (epsilon inside the square root).

lib/models/bricks/metro_transformer.py:11

lib/models/bricks/metro_transformer.py:31

( self, in_channel, out_chanel, kernel_size=3, padding=1, stri

lib/models/bricks/conv.py:6

lib/models/bricks/pt_metro_transformer.py:45

lib/models/bricks/pt_metro_transformer.py:99

(self, cfg: CN)

lib/models/heads/ptEmb_head.py:200

(self, cfg: CN)

lib/models/heads/ptEmb_head.py:330

(self, cfg: CN)

lib/models/heads/ptEmb_head.py:686

(self, cfg: CN)

lib/models/heads/mvp_head.py:79

(self, cfg: CN)

lib/models/heads/petr_FTL_head.py:30

(self, cfg: CN)

lib/models/heads/petr_head.py:34

(self, in_channels, out_channels, indices, dim=1)

lib/external/cmr/net.py:24

(self, in_channels, out_channels, indices)

lib/external/cmr/net.py:64

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