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github.com/alexklwong/mondi-python
/ functions
Functions
823 in github.com/alexklwong/mondi-python
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Functions
823
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Types & classes
153
↓ 1 callers
Function
setup_kbnet_model
()
setup/setup_external_model_kbnet.py:52
↓ 1 callers
Function
setup_msg_chn_model
()
setup/setup_external_model_msg_chn.py:56
↓ 1 callers
Function
setup_nlspn_model
()
setup/setup_external_model_nlspn.py:106
↓ 1 callers
Function
setup_penet_model
()
setup/setup_external_model_penet.py:56
↓ 1 callers
Function
setup_scaffnet_model
()
setup/setup_external_model_scaffnet.py:67
↓ 1 callers
Function
ssim
Computes Structural Similarity Index distance between two images Arg(s): x : torch.Tensor[float32] N x 3 x H x W RGB ima
src/loss_utils.py:284
↓ 1 callers
Function
ssim
Computes Structural Similarity Index distance between two images Arg(s): x : torch.Tensor[float32] N x 3 x H x W RGB ima
external_src/kbnet/src/losses.py:128
↓ 1 callers
Function
ssim
Computes Structural Similarity Index distance between two images Arg(s): x : torch.Tensor[float32] N x 3 x H x W RGB ima
external_src/scaffnet-pytorch/src/losses.py:207
↓ 1 callers
Method
take_avg
(self, output, height, width)
src/penet_model.py:285
↓ 1 callers
Method
take_avg
If validating by anchoring in each corner, compute average and output final prediction Arg(s): output : torch.Tensor[flo
src/enet_model.py:301
↓ 1 callers
Function
test
(args)
external_src/NLSPN/src/main.py:322
↓ 1 callers
Method
to
Move model to a device Arg(s): device : torch.device device to use
src/fusionnet_models.py:297
↓ 1 callers
Method
to
Moves model to specified device Arg(s): device : torch.device device for running model
src/posenet_model.py:134
↓ 1 callers
Method
to
Move model to a device Arg(s): device : torch.device device to use
src/msg_chn_model.py:207
↓ 1 callers
Method
to
Move model to a device Arg(s): device : torch.device device to use
src/scaffnet_models.py:184
↓ 1 callers
Method
to
Move model to a device Arg(s): device : torch.device device to use
src/kbnet_models.py:239
↓ 1 callers
Method
to
Moves model to specified device Arg(s): device : torch.device device for running model
src/mondi_model.py:605
↓ 1 callers
Method
to
Moves model to specified device Arg(s): device : torch.device device for running model
external_src/kbnet/src/posenet_model.py:137
↓ 1 callers
Method
to
Moves model to specified device Arg(s): device : torch.device device for running model
external_src/scaffnet-pytorch/src/fusionnet_model.py:374
↓ 1 callers
Method
to
Moves model to specified device Arg(s): device : torch.device device for running model
external_src/scaffnet-pytorch/src/scaffnet_model.py:278
↓ 1 callers
Function
train
(train_image0_path, train_image1_path, train_sparse_depth0_path, train_sparse_de
src/mondi.py:34
↓ 1 callers
Function
train
(train_image_path, train_sparse_depth_path, train_intrinsics_path, val_image_pat
external_src/kbnet/src/kbnet.py:31
↓ 1 callers
Function
train
(gpu, args)
external_src/NLSPN/src/main.py:80
↓ 1 callers
Function
train
(train_images_path, train_sparse_depth_path, train_intrinsics_path, val_image_pa
external_src/scaffnet-pytorch/src/fusionnet_standalone_main.py:21
↓ 1 callers
Function
train
(train_sparse_depth_path, train_ground_truth_path, val_sparse_depth_path, val_gr
external_src/scaffnet-pytorch/src/scaffnet_main.py:10
↓ 1 callers
Function
train
(train_images_path, train_dense_depth_path, train_sparse_depth_path, train_intri
external_src/scaffnet-pytorch/src/fusionnet_main.py:13
↓ 1 callers
Method
train
Sets model to training mode
src/posenet_model.py:118
↓ 1 callers
Method
train
(self, max_epochs)
external_src/MSG_CHN/trainers/DepthTrainer.py:53
↓ 1 callers
Method
train
Sets model to training mode
external_src/kbnet/src/posenet_model.py:121
↓ 1 callers
Method
train_epoch
(self)
external_src/MSG_CHN/trainers/trainer.py:44
↓ 1 callers
Method
train_epoch
(self)
external_src/MSG_CHN/trainers/DepthTrainer.py:121
↓ 1 callers
Method
transform_inputs
Transforms the input based on any required preprocessing step Arg(s): image : torch.Tensor[float32] N x
src/nlspn_model.py:119
↓ 1 callers
Method
transform_inputs
Transforms the input based on any required preprocessing step Arg(s): image : torch.Tensor[float32] N x
src/fusionnet_models.py:160
↓ 1 callers
Method
transform_inputs
Transforms the input based on any required preprocessing step Arg(s): image : torch.Tensor[float32] N x
src/penet_model.py:97
↓ 1 callers
Method
transform_inputs
Transforms the input based on any required preprocessing step Arg(s): image : tensor[float32] N x 3 x H x
src/msg_chn_model.py:134
↓ 1 callers
Method
transform_inputs
Transforms the input based on any required preprocessing step Arg(s): image : torch.Tensor[float32] N x
src/enet_model.py:99
↓ 1 callers
Method
transform_inputs
Transforms the input based on any required preprocessing step Arg(s): image : torch.Tensor[float32] N x
src/kbnet_models.py:117
↓ 1 callers
Function
transformation_from_parameters
Convert the network's (axisangle, translation) output into a 4x4 matrix
src/net_utils.py:843
↓ 1 callers
Function
transformation_from_parameters
Convert the network's (axisangle, translation) output into a 4x4 matrix
external_src/kbnet/src/net_utils.py:1522
↓ 1 callers
Function
transformation_from_parameters
Convert the network's (axisangle, translation) output into a 4x4 matrix
external_src/scaffnet-pytorch/src/net_utils.py:849
↓ 1 callers
Function
validate
(depth_model, dataloader, transforms, outlier_removal, gro
external_src/kbnet/src/kbnet.py:520
↓ 1 callers
Function
validate
(scaffnet_model, fusionnet_model, dataloader, transforms,
external_src/scaffnet-pytorch/src/fusionnet_standalone_main.py:578
↓ 1 callers
Function
validate
(depth_model, dataloader, transforms, outlier_removal, gro
external_src/scaffnet-pytorch/src/fusionnet_main.py:512
Function
KittiDataLoader
(params)
external_src/MSG_CHN/dataloader/DataLoaders.py:23
Function
PYBIND11_MODULE
external_src/NLSPN/src/model/deformconv/src/vision.cpp:6
Method
__call__
(self, img)
external_src/PENet_ICRA2021/dataloaders/transforms.py:192
Method
__call__
Convert a ``numpy.ndarray`` to tensor. Args: img (numpy.ndarray): Image to be converted to tensor. Returns:
external_src/PENet_ICRA2021/dataloaders/transforms.py:203
Method
__call__
Args: img (numpy.ndarray): Image of size (H, W, C) to be normalized. Returns: Tensor: Normalized image.
external_src/PENet_ICRA2021/dataloaders/transforms.py:243
Method
__call__
Args: tensor (Tensor): Tensor image of size (C, H, W) to be normalized. Returns: Tensor: Normalized Tensor i
external_src/PENet_ICRA2021/dataloaders/transforms.py:274
Method
__call__
Args: img (numpy.ndarray (C x H x W)): Image to be rotated. Returns: img (numpy.ndarray (C x H x W)): Rotate
external_src/PENet_ICRA2021/dataloaders/transforms.py:299
Method
__call__
Args: img (numpy.ndarray (C x H x W)): Image to be scaled. Returns: img (numpy.ndarray (C x H x W)): Rescaled
external_src/PENet_ICRA2021/dataloaders/transforms.py:328
Method
__call__
Args: img (numpy.ndarray (C x H x W)): Image to be cropped. Returns: img (numpy.ndarray (C x H x W)): Croppe
external_src/PENet_ICRA2021/dataloaders/transforms.py:382
Method
__call__
Args: img (numpy.ndarray (C x H x W)): Image to be cropped. Returns: img (numpy.ndarray (C x H x W)): Croppe
external_src/PENet_ICRA2021/dataloaders/transforms.py:446
Method
__call__
Args: img (numpy.ndarray (C x H x W)): Image to be cropped. Returns: img (numpy.ndarray (C x H x W)): Croppe
external_src/PENet_ICRA2021/dataloaders/transforms.py:508
Method
__call__
Args: img (numpy.ndarray (C x H x W)): Image to be cropped. Returns: img (numpy.ndarray (C x H x W)): Croppe
external_src/PENet_ICRA2021/dataloaders/transforms.py:568
Method
__call__
(self, img)
external_src/PENet_ICRA2021/dataloaders/transforms.py:605
Method
__call__
Args: img (numpy.ndarray (C x H x W)): Image to be flipped. Returns: img (numpy.ndarray (C x H x W)): flippe
external_src/PENet_ICRA2021/dataloaders/transforms.py:619
Method
__call__
Args: img (numpy.ndarray (C x H x W)): Input image. Returns: img (numpy.ndarray (C x H x W)): Color jittered
external_src/PENet_ICRA2021/dataloaders/transforms.py:660
Method
__call__
(self, sample, output)
external_src/NLSPN/src/loss/__init__.py:59
Method
__getitem__
(self, index)
src/datasets.py:198
Method
__getitem__
(self, index)
src/datasets.py:370
Method
__getitem__
(self, item)
external_src/MSG_CHN/dataloader/KittiDepthDataset.py:46
Method
__getitem__
(self, index)
external_src/kbnet/src/datasets.py:199
Method
__getitem__
(self, index)
external_src/kbnet/src/datasets.py:259
Method
__getitem__
(self, index)
external_src/PENet_ICRA2021/dataloaders/kitti_loader.py:357
Method
__getitem__
(self, index)
external_src/scaffnet-pytorch/src/datasets.py:173
Method
__getitem__
(self, index)
external_src/scaffnet-pytorch/src/datasets.py:226
Method
__getitem__
(self, index)
external_src/scaffnet-pytorch/src/datasets.py:288
Method
__getitem__
(self, index)
external_src/scaffnet-pytorch/src/datasets.py:366
Method
__getitem__
(self, index)
external_src/scaffnet-pytorch/src/datasets.py:445
Method
__getitem__
(self, index)
external_src/scaffnet-pytorch/src/datasets.py:515
Method
__init__
(self, device=torch.device('cuda'), max_depth=100.0, use_pretrained=False)
src/nlspn_model.py:45
Method
__init__
(self, in_channels, out_channels, kernel_size=3,
src/net_utils.py:138
Method
__init__
(self, in_channels, out_channels, kernel_size=3,
src/net_utils.py:220
Method
__init__
(self, in_channels, out_channels, kernel_size=3,
src/net_utils.py:284
Method
__init__
(self, in_channels, out_channels, stride=1,
src/net_utils.py:330
Method
__init__
(self, in_channels, out_channels, stride=1,
src/net_utils.py:404
Method
__init__
(self, in_channels, out_channels, n_conv=1,
src/net_utils.py:492
Method
__init__
(self, in_channels_image, in_channels_depth, in_channels_fu
src/net_utils.py:567
Method
__init__
(self, in_channels, skip_channels, out_channels,
src/net_utils.py:673
Method
__init__
(self, kernel_size=7, threshold=1.5)
src/net_utils.py:758
Method
__init__
(self, dataset_name='void', min_predict_depth=1.5, max_pred
src/fusionnet_models.py:46
Method
__init__
(self, encoder_type='posenet', rotation_parameterization='axis',
src/posenet_model.py:36
Method
__init__
Transforms and augmentation class Arg(s): normalized_image_range : list[float] intensity range after nor
src/transforms.py:29
Method
__init__
(self, model_name, min_predict_depth, max_predict_depth,
src/external_model.py:41
Method
__init__
(self, device=torch.device('cuda'), max_depth=5.0)
src/penet_model.py:40
Method
__init__
(self, device=torch.device('cuda'), max_depth=5.0)
src/msg_chn_model.py:41
Method
__init__
(self, image_paths, sparse_depth_paths, intrinsics_paths,
src/datasets.py:180
Method
__init__
(self, image0_paths, image1_paths, sparse_depth0_paths,
src/datasets.py:276
Method
__init__
(self, n_layer, input_channels=3, n_filters=[32, 64, 128, 2
src/networks.py:47
Method
__init__
(self, n_layer, input_channels_image=3, input_channels_dept
src/networks.py:323
Method
__init__
(self, input_channels_image=3, input_channels_depth=1, n_fi
src/networks.py:409
Method
__init__
(self, input_channels=256, output_channels=1, n_resolution=
src/networks.py:1074
Method
__init__
(self, input_channels=256, output_channels=1, n_scale=4,
src/networks.py:1402
Method
__init__
(self, rotation_parameterization, input_channels=256, n_fil
src/networks.py:1652
Method
__init__
(self, input_channels, min_pool_sizes=[3, 5, 7, 9], max_poo
src/networks.py:1748
Method
__init__
(self, device=torch.device('cuda'), max_depth=5.0)
src/enet_model.py:40
Method
__init__
(self, dataset_name='scenenet', min_predict_depth=1.5, max_
src/scaffnet_models.py:44
Method
__init__
(self, dataset_name='kitti', min_predict_depth=1.5, max_pre
src/kbnet_models.py:45
Method
__init__
(self, min_pool_sizes_sparse_to_dense_pool, max_pool_sizes_sparse_to_dense_p
src/mondi_model.py:69
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