Functions — github.com/alexklwong/mondi-python

Methodforward

(self, outputs, target, *args)

external_src/MSG_CHN/modules/losses.py:23

Methodforward

(self, outputs, target, *args)

external_src/MSG_CHN/modules/losses.py:33

Methodforward

(self, outputs, target, *args)

external_src/MSG_CHN/utils/ErrorMetrics.py:25

Methodforward

(self, outputs, target, *args)

external_src/MSG_CHN/utils/ErrorMetrics.py:44

Methodforward

(self, outputs, target, *args)

external_src/MSG_CHN/utils/ErrorMetrics.py:55

Methodforward

(self, outputs, target, *args)

external_src/MSG_CHN/utils/ErrorMetrics.py:67

Methodforward

(self, input, scale=2, pre_x2=None, pre_x3=None, pre_x4=None)

external_src/MSG_CHN/workspace/exp_msg_chn/network_exp_msg_chn.py:45

Methodforward

(self, input, scale=2, pre_x=None)

external_src/MSG_CHN/workspace/exp_msg_chn/network_exp_msg_chn.py:101

Methodforward

(self, pre_dx, pre_cx)

external_src/MSG_CHN/workspace/exp_msg_chn/network_exp_msg_chn.py:148

Methodforward

(self, input_d, input_rgb)

external_src/MSG_CHN/workspace/exp_msg_chn/network_exp_msg_chn.py:182

Methodforward

Forward input x through a depthwise convolution layer Arg(s): x : torch.Tensor[float32] N x C x H x W in

external_src/kbnet/src/net_utils.py:232

Methodforward

Forward input x through an atrous convolution layer Arg(s): x : torch.Tensor[float32] N x C x H x W inpu

external_src/kbnet/src/net_utils.py:326

Methodforward

Forward input x through a transposed convolution layer Arg(s): x : torch.Tensor[float32] N x C x h x w i

external_src/kbnet/src/net_utils.py:417

Methodforward

Forward input x through an up convolution layer Arg(s): x : torch.Tensor[float32] N x C x h x w input te

external_src/kbnet/src/net_utils.py:484

Methodforward

Forward input x through a fully connected block Arg(s): x : torch.Tensor[float32] N x C input tensor

external_src/kbnet/src/net_utils.py:547

Methodforward

Forward input x through a basic ResNet block Arg(s): x : torch.Tensor[float32] N x C x H x W input tenso

external_src/kbnet/src/net_utils.py:643

Methodforward

Forward input x through a ResNet bottleneck block Arg(s): x : torch.Tensor[float32] N x C x H x W input

external_src/kbnet/src/net_utils.py:751

Methodforward

Forward input x through an atrous ResNet block Arg(s): x : torch.Tensor[float32] N x C x H x W input ten

external_src/kbnet/src/net_utils.py:850

Methodforward

Forward input x through a VGG block Arg(s): x : torch.Tensor[float32] N x C x H x W input tensor

external_src/kbnet/src/net_utils.py:947

Methodforward

Forward input x through an atrous VGG block Arg(s): x : torch.Tensor[float32] N x C x H x W input tensor

external_src/kbnet/src/net_utils.py:1031

Methodforward

Forward input x through a ASPP block Arg(s): x : torch.Tensor[float32] N x C x H x W input tensor

external_src/kbnet/src/net_utils.py:1125

Methodforward

Forward input x through SPP block Arg(s): x : torch.Tensor[float32] N x C x H x W input tensor R

external_src/kbnet/src/net_utils.py:1237

Methodforward

(self, image, depth, coordinates, fused=None)

external_src/kbnet/src/net_utils.py:1343

Methodforward

Forward input x through a decoder block and fuse with skip connection Arg(s): x : torch.Tensor[float32]

external_src/kbnet/src/net_utils.py:1453

Methodforward

Forward image, depth and calibration through encoder Arg(s): image : torch.Tensor[float32] N x C x H x W

external_src/kbnet/src/networks.py:301

Methodforward

Forward input x through encoder Arg(s): x : torch.Tensor[float32] input image N x C x H x W Retu

external_src/kbnet/src/networks.py:636

Methodforward

Forward input x through a ResNet encoder Arg(s): x : torch.Tensor[float32] N x C x H x W input tensor

external_src/kbnet/src/networks.py:958

Methodforward

Forward input x through an atrous ResNet encoder Arg(s): x : torch.Tensor[float32] N x C x H x W input t

external_src/kbnet/src/networks.py:1185

Methodforward

Forward input x through a VGGNet encoder Arg(s): x : torch.Tensor[float32] N x C x H x W input tensor

external_src/kbnet/src/networks.py:1410

Methodforward

Forward input x through an atrous VGGNet encoder Arg(s): x : torch.Tensor[float32] N x C x H x W input t

external_src/kbnet/src/networks.py:1571

Methodforward

Forward latent vector x through decoder network Arg(s): x : torch.Tensor[float32] latent vector

external_src/kbnet/src/networks.py:1855

Methodforward

(self, x)

external_src/kbnet/src/networks.py:2067

Methodforward

(self, x)

external_src/kbnet/src/networks.py:2168

Methodforward

(self, rgb, d, position, K)

external_src/PENet_ICRA2021/model_modified.py:72

Methodforward

(self, input)

external_src/PENet_ICRA2021/model_modified.py:294

Methodforward

(self, rgb, d, position, K)

external_src/PENet_ICRA2021/model_modified.py:455

Methodforward

(self, input)

external_src/PENet_ICRA2021/model_modified.py:614

Methodforward

(self, input)

external_src/PENet_ICRA2021/model_modified.py:770

Methodforward

(self, input)

external_src/PENet_ICRA2021/model_modified.py:891

Methodforward

(self, x)

external_src/PENet_ICRA2021/basic.py:112

Methodforward

(self, d, mask)

external_src/PENet_ICRA2021/basic.py:146

Methodforward

(self, feature)

external_src/PENet_ICRA2021/basic.py:161

Methodforward

(self, guide_weight, hn, h0)

external_src/PENet_ICRA2021/basic.py:195

Methodforward

(self, feature)

external_src/PENet_ICRA2021/basic.py:226

Methodforward

(self, kernel, input, input0)

external_src/PENet_ICRA2021/basic.py:255

Methodforward

(self, z, vnorm, unorm, h, w, ch, cw, fh, fw)

external_src/PENet_ICRA2021/basic.py:274

Methodforward

(self, x, g1=None, g2=None)

external_src/PENet_ICRA2021/basic.py:308

Methodforward

(self, pred, target)

external_src/PENet_ICRA2021/criteria.py:10

Methodforward

(self, pred, target, weight=None)

external_src/PENet_ICRA2021/criteria.py:23

Methodforward

(self, input)

external_src/PENet_ICRA2021/model.py:68

Methodforward

(self, input)

external_src/PENet_ICRA2021/model.py:290

Methodforward

(self, input)

external_src/PENet_ICRA2021/model.py:447

Methodforward

(self, input)

external_src/PENet_ICRA2021/model.py:605

Methodforward

(self, input)

external_src/PENet_ICRA2021/model.py:761

Methodforward

(self, input)

external_src/PENet_ICRA2021/model.py:882

Methodforward

(self, feat_init, guidance, confidence=None, feat_fix=None, rgb=None)

external_src/NLSPN/src/model/nlspnmodel.py:174

Methodforward

(self, sample)

external_src/NLSPN/src/model/nlspnmodel.py:318

Methodforward

(ctx, input, offset, mask, weight, bias, stride, padding, dilation, groups, deformable_groups,

external_src/NLSPN/src/model/modulated_deform_conv_func.py:17

Methodforward

(self, pred, gt)

external_src/NLSPN/src/loss/submodule/l2loss.py:27

Methodforward

(self, pred, gt)

external_src/NLSPN/src/loss/submodule/l1loss.py:27

Methodforward

Forward input x through a transposed convolution layer Arg(s): x : torch.Tensor[float32] N x C x h x w i

external_src/scaffnet-pytorch/src/net_utils.py:196

Methodforward

Forward input x through an up convolution layer Arg(s): x : torch.Tensor[float32] N x C x h x w input te

external_src/scaffnet-pytorch/src/net_utils.py:263

Methodforward

Forward input x through a basic ResNet block Arg(s): x : torch.Tensor[float32] N x C x H x W input tenso

external_src/scaffnet-pytorch/src/net_utils.py:347

Methodforward

Forward input x through a ResNet bottleneck block Arg(s): x : torch.Tensor[float32] N x C x H x W input

external_src/scaffnet-pytorch/src/net_utils.py:447

Methodforward

Forward input x through a VGG block Arg(s): x : torch.Tensor[float32] N x C x H x W input tensor

external_src/scaffnet-pytorch/src/net_utils.py:536

Methodforward

Forward input x through a decoder block and fuse with skip connection Arg(s): x : torch.Tensor[float32]

external_src/scaffnet-pytorch/src/net_utils.py:621

Methodforward

(self, depth, inv_K)

external_src/scaffnet-pytorch/src/net_utils.py:1082

Methodforward

(self, points, K, T)

external_src/scaffnet-pytorch/src/net_utils.py:1100

Methodforward

Forward input x through a ResNet encoder Arg(s): x : torch.Tensor[float32] N x C x H x W input tensor

external_src/scaffnet-pytorch/src/networks.py:277

Methodforward

Forward input x through a VGGNet encoder Arg(s): x : torch.Tensor[float32] N x C x H x W input tensor

external_src/scaffnet-pytorch/src/networks.py:497

Methodforward

Forward input x through a VGGNet encoder Arg(s): x : torch.Tensor[float32] N x C x H x W input tensor

external_src/scaffnet-pytorch/src/networks.py:636

Methodforward

Forward latent vector x through decoder network Arg(s): x : torch.Tensor[float32] latent vector

external_src/scaffnet-pytorch/src/networks.py:926

Methodforward

(self, x)

external_src/scaffnet-pytorch/src/networks.py:1138

Methodforward

(self, x)

external_src/scaffnet-pytorch/src/networks.py:1203

Functionget

(args)

external_src/NLSPN/src/model/__init__.py:17

Functionget

(args)

external_src/NLSPN/src/summary/__init__.py:26

Functionget

(args)

external_src/NLSPN/src/metric/__init__.py:22

Functionget

(args)

external_src/NLSPN/src/loss/__init__.py:25

Methodget_factor

(self, epoch)

external_src/NLSPN/src/utility.py:29

Functionget_rgb_near

(path, args)

external_src/PENet_ICRA2021/dataloaders/kitti_loader.py:304

Functiongrid_sample

Samples the image at x, y locations to target x, y locations Arg(s): image : torch.Tensor[float32] N x 3 x H x W RGB ima

external_src/kbnet/src/net_utils.py:1706

Functiongrid_sample

Samples the image at x, y locations to target x, y locations Arg(s): image : torch.Tensor[float32] N x 3 x H x W RGB ima

external_src/scaffnet-pytorch/src/net_utils.py:1031

Functiongrid_sample

Samples the image at x, y locations to target x, y locations Arg(s): image : torch.Tensor[float32] N x 3 x H x W RGB ima

external_src/scaffnet-pytorch/src/loss_utils.py:109

Functioninterpolate_depth

Interpolate sparse depth with barycentric coordinates Arg(s): depth_map : numpy[float32] H x W depth map validit

src/data_utils.py:285

Functioninv_mean_abs_err

Inverse mean absolute error Arg(s): src : numpy[float32] source array tgt : numpy[float32] target ar

src/eval_utils.py:69

Functioninv_mean_abs_err

Inverse mean absolute error Arg(s): src : numpy[float32] source array tgt : numpy[float32] target ar

external_src/kbnet/src/eval_utils.py:65

Functioninv_mean_abs_err

Inverse mean absolute error Args: src : numpy source array tgt : numpy target array Returns:

external_src/scaffnet-pytorch/src/eval_utils.py:46

Functioninv_root_mean_sq_err

Inverse root mean squared error Arg(s): src : numpy[float32] source array tgt : numpy[float32] targe

src/eval_utils.py:54

Functioninv_root_mean_sq_err

Inverse root mean squared error Arg(s): src : numpy[float32] source array tgt : numpy[float32] targe

external_src/kbnet/src/eval_utils.py:50

Functioninv_root_mean_sq_err

Inverse root mean squared error Args: src : numpy source array tgt : numpy target array Returns:

external_src/scaffnet-pytorch/src/eval_utils.py:32

Functionl1_loss

Computes l1 loss Arg(s): src : torch.Tensor[float32] N x 3 x H x W source image tgt : torch.Tensor[float32]

src/loss_utils.py:216

Functionl1_loss_func

Computes the L1 difference between source and target Arg(s): src : torch.Tensor[float32] source tensor tgt : tor

external_src/scaffnet-pytorch/src/losses.py:6

Functionl1_with_uncertainty_loss_func

Computes the l1 loss with uncertainty between source and target Arg(s): src : torch.Tensor[float32] source tensor

external_src/scaffnet-pytorch/src/losses.py:26

Functionl2_loss

Computes l2 loss Arg(s): src : torch.Tensor[float32] N x 3 x H x W source image tgt : torch.Tensor[float32]

src/loss_utils.py:241

Functionload_calibration

Loads the calibration matrices for each camera (KITTI) and stores it as map Arg(s): path : str path to file to be read

src/data_utils.py:228

Functionload_calibration

Loads the calibration matrices for each camera (KITTI) and stores it as map Arg(s): path : str path to file to be read

external_src/kbnet/src/data_utils.py:215

Functionload_calibration

Loads the calibration matrices for each camera (KITTI) and stores it as map Args: path : str path to file to be read

external_src/scaffnet-pytorch/src/data_utils.py:265

Functionload_depth

Loads a depth map from a 16-bit PNG file Arg(s): path : str path to 16-bit PNG file data_format : str

src/data_utils.py:135

Functionload_depth

Loads a depth map from a 16-bit PNG file Arg(s): path : str path to 16-bit PNG file data_format : str

external_src/kbnet/src/data_utils.py:123

Functionload_depth

Loads a depth map from a 16-bit PNG file Arg(s): path : str path to 16-bit PNG file multiplier : float

external_src/scaffnet-pytorch/src/data_utils.py:112

Functions823 in github.com/alexklwong/mondi-python