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Functions736 in github.com/InternRobotics/NavDP

⨍ Functions 736◇ Types & classes 227↳ Endpoints 36
↓ 1 callersMethodreset_env
(self,i)
baselines/navdp/policy_agent.py:33
↓ 1 callersFunctionsetup_distributed
AdaHessian Optimizer Lifted from https://github.com/BIGBALLON/distribuuuu/blob/master/distribuuuu/utils.py Originally licensed MIT, Copyright
baselines/logoplanner/depth_anything/metric_depth/util/dist_helper.py:8
↓ 1 callersFunctionsetup_distributed
AdaHessian Optimizer Lifted from https://github.com/BIGBALLON/distribuuuu/blob/master/distribuuuu/utils.py Originally licensed MIT, Copyright
baselines/navdp/depth_anything/metric_depth/util/dist_helper.py:8
↓ 1 callersMethodstep_imagegoal
(self, goal_image, image)
baselines/gnm/gnm_agent.py:62
↓ 1 callersMethodstep_imagegoal
(self, goal_image, image)
baselines/vint/vint_agent.py:61
↓ 1 callersMethodstep_imagegoal
(self,goals,images,depths)
baselines/navdp/policy_agent.py:184
↓ 1 callersMethodstep_nogoal
(self, image)
baselines/gnm/gnm_agent.py:82
↓ 1 callersMethodstep_nogoal
(self, image)
baselines/vint/vint_agent.py:82
↓ 1 callersMethodstep_nogoal
(self,images,depths)
baselines/logoplanner/policy_agent.py:128
↓ 1 callersMethodstep_nogoal
(self,images,depths)
baselines/navdp/policy_agent.py:130
↓ 1 callersMethodstep_pixelgoal
(self,goals,images,depths)
baselines/navdp/policy_agent.py:211
↓ 1 callersMethodstep_point_image_goal
(self,pointgoal,imagegoal,images,depths)
baselines/navdp/policy_agent.py:243
↓ 1 callersMethodstep_pointgoal
( self, image: torch.Tensor, dep_image: torch.Tensor, goal_robot_frame: torch.
baselines/viplanner/viplanner_agent.py:69
↓ 1 callersMethodstep_pointgoal
(self,goals,images,depths)
baselines/navdp/policy_agent.py:155
↓ 1 callersMethodstep_pointgoal
( self, dep_image: torch.Tensor, goal_robot_frame: torch.Tensor, )
baselines/iplanner/iplanner_agent.py:69
↓ 1 callersFunctionto_numpy
(tensor: torch.Tensor)
baselines/nomad/nomad_agent.py:14
↓ 1 callersFunctionunnormalize_data
(ndata, stats)
baselines/nomad/nomad_agent.py:18
↓ 1 callersFunctionupdate_occupancy
(global_pcd, camera_int, current_pos, current_rot, robot_rgb, robot_depth)
eval_nogoal_wheeled.py:54
Method__call__
(self, sample)
baselines/logoplanner/depth_anything/depth_anything_v2/util/transform.py:109
Method__call__
(self, sample)
baselines/logoplanner/depth_anything/depth_anything_v2/util/transform.py:133
Method__call__
(self, sample)
baselines/logoplanner/depth_anything/depth_anything_v2/util/transform.py:146
Method__call__
(self, sample)
baselines/logoplanner/depth_anything/metric_depth/dataset/transform.py:164
Method__call__
(self, sample)
baselines/logoplanner/depth_anything/metric_depth/dataset/transform.py:215
Method__call__
(self, sample)
baselines/logoplanner/depth_anything/metric_depth/dataset/transform.py:228
Method__call__
(self, sample)
baselines/logoplanner/depth_anything/metric_depth/dataset/transform.py:257
Method__call__
(self, sample)
baselines/logoplanner/depth_anything/metric_depth/depth_anything_v2/util/transform.py:109
Method__call__
(self, sample)
baselines/logoplanner/depth_anything/metric_depth/depth_anything_v2/util/transform.py:133
Method__call__
(self, sample)
baselines/logoplanner/depth_anything/metric_depth/depth_anything_v2/util/transform.py:146
Method__call__
(self, sample)
baselines/navdp/depth_anything/depth_anything_v2/util/transform.py:109
Method__call__
(self, sample)
baselines/navdp/depth_anything/depth_anything_v2/util/transform.py:133
Method__call__
(self, sample)
baselines/navdp/depth_anything/depth_anything_v2/util/transform.py:146
Method__call__
(self, sample)
baselines/navdp/depth_anything/metric_depth/dataset/transform.py:164
Method__call__
(self, sample)
baselines/navdp/depth_anything/metric_depth/dataset/transform.py:215
Method__call__
(self, sample)
baselines/navdp/depth_anything/metric_depth/dataset/transform.py:228
Method__call__
(self, sample)
baselines/navdp/depth_anything/metric_depth/dataset/transform.py:257
Method__call__
(self, sample)
baselines/navdp/depth_anything/metric_depth/depth_anything_v2/util/transform.py:109
Method__call__
(self, sample)
baselines/navdp/depth_anything/metric_depth/depth_anything_v2/util/transform.py:133
Method__call__
(self, sample)
baselines/navdp/depth_anything/metric_depth/depth_anything_v2/util/transform.py:146
Method__getitem__
(self, item)
baselines/logoplanner/depth_anything/metric_depth/dataset/kitti.py:35
Method__getitem__
(self, item)
baselines/logoplanner/depth_anything/metric_depth/dataset/vkitti2.py:33
Method__getitem__
(self, item)
baselines/logoplanner/depth_anything/metric_depth/dataset/hypersim.py:50
Method__getitem__
(self, item)
baselines/navdp/depth_anything/metric_depth/dataset/kitti.py:35
Method__getitem__
(self, item)
baselines/navdp/depth_anything/metric_depth/dataset/vkitti2.py:33
Method__getitem__
(self, item)
baselines/navdp/depth_anything/metric_depth/dataset/hypersim.py:50
Method__init__
(self)
baselines/nomad/traj_opt.py:15
Method__init__
(self)
baselines/nomad/traj_opt.py:39
Method__init__
(self, embedding_dim)
baselines/nomad/nomad_model.py:40
Method__init__
(self, d_model, max_seq_len=6)
baselines/nomad/nomad_model.py:59
Method__init__
NoMaD ViNT Encoder class.
baselines/nomad/nomad_model.py:83
Method__init__
(self, config: dict)
baselines/nomad/nomad_model.py:300
Method__init__
( self, image_intrinsic, model_path: str, model_config_path: str, robo
baselines/nomad/nomad_agent.py:49
Method__init__
( self, image_intrinsic: torch.Tensor, model_path: str, model_config_path: Opt
baselines/nomad/base_agent.py:10
Method__init__
(self)
baselines/gnm/traj_opt.py:15
Method__init__
(self)
baselines/gnm/traj_opt.py:39
Method__init__
( self, image_intrinsic, model_path: str, model_config_path: str, robo
baselines/gnm/gnm_agent.py:98
Method__init__
MobileNet V2 main class Args: num_images (int): number of images stacked in the input tensor num_classes (int
baselines/gnm/gnm_model.py:15
Method__init__
GNM main class Args: context_size (int): how many previous observations to used for context len_traj_pred (in
baselines/gnm/gnm_model.py:216
Method__init__
(self, config: dict)
baselines/gnm/gnm_model.py:264
Method__init__
(self, config: dict)
baselines/gnm/gnm_model.py:285
Method__init__
Base Model main class Args: context_size (int): how many previous observations to used for context len_traj_p
baselines/gnm/base_model.py:8
Method__init__
( self, image_intrinsic: torch.Tensor, model_path: str, model_config_path: Opt
baselines/gnm/base_agent.py:10
Method__init__
(self)
baselines/vint/traj_opt.py:15
Method__init__
(self)
baselines/vint/traj_opt.py:39
Method__init__
Base Model main class Args: context_size (int): how many previous observations to used for context len_traj_p
baselines/vint/base_model.py:8
Method__init__
(self, d_model, max_seq_len=6)
baselines/vint/vint_network.py:10
Method__init__
( self, embed_dim=512, seq_len=6, output_layers=[256, 128, 64], nhead=
baselines/vint/vint_network.py:32
Method__init__
( self, context_size: int = 5, len_traj_pred: Optional[int] = 5, learn_angle:
baselines/vint/vint_network.py:203
Method__init__
( self, context_size: int = 5, len_traj_pred: Optional[int] = 5, learn_angle:
baselines/vint/vint_network.py:281
Method__init__
(self, config: dict)
baselines/vint/vint_network.py:397
Method__init__
(self, config: dict)
baselines/vint/vint_network.py:425
Method__init__
(self, config: dict)
baselines/vint/vint_network.py:447
Method__init__
( self, image_intrinsic, model_path: str , model_config_path: str, rob
baselines/vint/vint_agent.py:98
Method__init__
( self, image_intrinsic: torch.Tensor, model_path: str, model_config_path: Opt
baselines/vint/base_agent.py:10
Method__init__
(self, dim)
baselines/logoplanner/policy_backbone.py:7
Method__init__
(self, embed_dim, max_len=5000)
baselines/logoplanner/policy_backbone.py:20
Method__init__
(self, image_size=224, embed_size=512, memory_size=8,
baselines/logoplanner/policy_backbone.py:69
Method__init__
(self, image_size=224, memory_size=8, context_size=12,
baselines/logoplanner/policy_network.py:11
Method__init__
(self, image_intrinsic, image_size=224, memory_size=8,
baselines/logoplanner/policy_agent.py:9
Method__init__
( self, pos_type='rope100', decoder_size='large', context_size
baselines/logoplanner/geometry_model.py:31
Method__init__
(self, args)
baselines/logoplanner/lekiwi_logoplanner_host.py:21
Method__init__
Args: server_url: Base URL of logoplanner_server.py, e.g. "http://127.0.0.1:43020". camera_intrinsic: 3×3 cam
baselines/logoplanner/logoplanner_navbench_adapter.py:55
Method__init__
(self, in_feature, out_feature)
baselines/logoplanner/depth_anything/depth_anything_v2/dpt.py:25
Method__init__
( self, encoder='vitl', features=256, out_channels=[256, 512, 1024, 1024],
baselines/logoplanner/depth_anything/depth_anything_v2/dpt.py:154
Method__init__
Args: img_size (int, tuple): input image size patch_size (int, tuple): patch size in_chans (int): number
baselines/logoplanner/depth_anything/depth_anything_v2/dinov2.py:45
Method__init__
Init. Args: features (int): number of features
baselines/logoplanner/depth_anything/depth_anything_v2/util/blocks.py:87
Method__init__
Init. Args: width (int): desired output width height (int): desired output height resize_target (bool, op
baselines/logoplanner/depth_anything/depth_anything_v2/util/transform.py:9
Method__init__
(self, mean, std)
baselines/logoplanner/depth_anything/depth_anything_v2/util/transform.py:129
Method__init__
(self)
baselines/logoplanner/depth_anything/depth_anything_v2/util/transform.py:143
Method__init__
(self, drop_prob=None)
baselines/logoplanner/depth_anything/depth_anything_v2/dinov2_layers/drop_path.py:30
Method__init__
( self, dim: int, num_heads: int, mlp_ratio: float = 4.0, qkv_bias: bo
baselines/logoplanner/depth_anything/depth_anything_v2/dinov2_layers/block.py:37
Method__init__
( self, dim: int, init_values: Union[float, Tensor] = 1e-5, inplace: bool = Fa
baselines/logoplanner/depth_anything/depth_anything_v2/dinov2_layers/layer_scale.py:17
Method__init__
( self, dim: int, num_heads: int = 8, qkv_bias: bool = False, proj_bia
baselines/logoplanner/depth_anything/depth_anything_v2/dinov2_layers/attention.py:30
Method__init__
( self, in_features: int, hidden_features: Optional[int] = None, out_features:
baselines/logoplanner/depth_anything/depth_anything_v2/dinov2_layers/mlp.py:18
Method__init__
( self, in_features: int, hidden_features: Optional[int] = None, out_features:
baselines/logoplanner/depth_anything/depth_anything_v2/dinov2_layers/swiglu_ffn.py:46
Method__init__
( self, img_size: Union[int, Tuple[int, int]] = 224, patch_size: Union[int, Tuple[int,
baselines/logoplanner/depth_anything/depth_anything_v2/dinov2_layers/patch_embed.py:38
Method__init__
(self, filelist_path, mode, size=(518, 518))
baselines/logoplanner/depth_anything/metric_depth/dataset/kitti.py:10
Method__init__
(self, filelist_path, mode, size=(518, 518))
baselines/logoplanner/depth_anything/metric_depth/dataset/vkitti2.py:10
Method__init__
Init. Args: width (int): desired output width height (int): desired output height resize_target (bool, op
baselines/logoplanner/depth_anything/metric_depth/dataset/transform.py:54
Method__init__
(self, mean, std)
baselines/logoplanner/depth_anything/metric_depth/dataset/transform.py:211
Method__init__
(self)
baselines/logoplanner/depth_anything/metric_depth/dataset/transform.py:225
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