Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).

Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).

Interpolation module.

Linear head for dust3r Each token outputs: - 16x16 3D points (+ confidence)

MLP as used in Vision Transformer, MLP-Mixer and related networks

DPT module for CroCo. by default, hooks_idx will be equal to: * for encoder-only: 4 equally spread layers * for encoder+decoder: last enco

Residual convolution module.

Track a series of values and provide access to smoothed values.

Layer that projects points from 2D camera to 3D space. The 3D points are represented in homogeneous coordinates.

DPT output adapter. :param num_cahnnels: Number of output channels :param stride_level: tride level compared to the full-sized image.

Feature fusion block.

just adding _init_weights + position getter compared to timm.models.layers.patch_embed.PatchEmbed

return positions of patches

return positions of patches

random masking

1x1 convolution residual block

Interactive 3D viewer for pre-saved SLAM results.

2D image to patch embedding: (B,C,H,W) -> (B,N,D) Args: img_size: Image size. patch_size: Patch token size. in_chans

Layer that projects 3D points into the 2D camera