↓ 49 callersFunctionconv(in_planes, out_planes, kernel_size=3, stride=1, padding=1, dilation=1)
Module/Network/PWCNet/pwc/pwc_model.py:15
↓ 49 callersFunctionconv(in_planes, out_planes, kernel_size=3, stride=1, padding=1, dilation=1)
Module/Network/PWCNet/pwc/pwc_model_tartanvo.py:18
↓ 16 callersMethodplot(self, ax: Axes, axis0_name: str="Axis 0", axis1_name: str="Axis 1", reduction: T.Literal["None", "Log"] = "No
Utility/Extensions/GridRecorder.py:38
↓ 10 callersMethodcalc_one_loss(self, output, target, criterion, mask=None, unc=None, lamb=1.0)
Module/Network/PWCNet/pwc/pwc_model_tartanvo.py:337
↓ 10 callersFunctionconvbn(in_planes, out_planes, kernel_size, stride, pad, dilation)
Module/Network/TartanVOStereo/PSM/submodule.py:9
↓ 8 callersMethodwarp
warp an image/tensor (im2) back to im1, according to the optical flow
x: [B, C, H, W] (im2)
flo: [B, 2, H, W] flow
Module/Network/PWCNet/pwc/pwc_model.py:126
↓ 7 callersMethod_make_layer(self, block, planes, blocks, stride, pad, dilation)
Module/Network/TartanVOStereo/FlowPoseNet.py:111
↓ 7 callersFunctionprint_as_table(headers: list[str], rows: list[list[Any]], title=None, sort_rows: None | Callable[[list[Any],], Any]=None)
Utility/PrettyPrint.py:35
↓ 7 callersMethodtransform(self, actions: list[Callable[[T_Data,], T_Data]] | Callable[[T_Data,], T_Data])
DataLoader/SequenceBase.py:52
↓ 5 callersFunctionconv(in_planes, out_planes, kernel_size: int | tuple[int, int]=3, stride=2, padding=1, dilation=1, bn_layer=False,
Module/Network/TartanVOStereo/FlowPoseNet.py:5
↓ 5 callersMethodmulti_scale_conv(self, conv0_func, conv1_func, conv2_func, conv3_func, conv4_func, input_feat)
Module/Network/PWCNet/pwc/pwc_model_tartanvo.py:214
↓ 4 callersMethod__plot_grid(dpi: int, n_rows: int, n_cols: int, plot_args: T.Sequence[T.Callable[[Axes], T.Any] | None], h_factor: float
Utility/Visualize/Matplotlib_Visualize.py:88
↓ 4 callersMethod_make_layer(self, block, planes, blocks, stride, pad, dilation)
Module/Network/TartanVOStereo/PSM/submodule.py:110
↓ 4 callersMethodconcate_two_layers(self, pred_func, decon_func, upfeat_func, feat_high, feat_low1, feat_low2, scale)
Module/Network/PWCNet/pwc/pwc_model_tartanvo.py:222
↓ 4 callersMethodselect_point(self, frame: StereoData, numPoint: int, depth0_est: IStereoDepth.Output, depth1_est: IStereoDepth.Output, mat
Module/KeypointSelector.py:223