Overview
This node performs depth estimation on equirectangular panorama images. It works by splitting the panorama into 12 perspective views, running the MoGe depth estimation model on each view, and then merging the results back into a single, complete depth map for the original panorama.Inputs
| Parameter | Description | Data Type | Required | Range |
|---|---|---|---|---|
moge_model | The MoGe model to use for inference. | MOGE_MODEL | Yes | |
image | Equirectangular panorama image (any aspect ratio). | IMAGE | Yes | |
resolution_level | Per-view detail level. Higher values produce more detailed depth maps (default: 9). | INT | Yes | 0 to 9 |
split_resolution | Resolution of each perspective view after splitting the panorama (default: 512). | INT | Yes | 256 to 1024 |
merge_resolution | Long-side resolution of the final merged equirectangular depth map (default: 1920). | INT | Yes | 256 to 8192 |
batch_size | Number of perspective views to process in each inference batch. The total number of views is 12 (default: 4). | INT | Yes | 1 to 12 |
Outputs
| Output Name | Description | Data Type |
|---|---|---|
moge_geometry | A dictionary containing the estimated geometry: points (3D point cloud), depth (depth map), mask (valid area mask), and image (the input image). | MOGE_GEOMETRY |
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