You're looking at a specific version of this model. Jump to the model overview.
vufinder /depth-anything-v3-metric-pano:085898c0
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| image |
string
|
Input panoramic image, accepts JPG, JPEG, PNG, WEBP files
|
|
| output_format |
None
|
json
|
Output format of the prediction results.
|
| return_depth |
boolean
|
True
|
Whether to return depth image or not.
|
| return_pcd |
boolean
|
True
|
Whether to return a point cloud file or not.
|
| return_views |
boolean
|
False
|
Whether to return per view data. That includes image, metric depth, point maps, camera extrinsics and intrinsics.
|
| processing_resolution |
None
|
default
|
Maximum spatial dimension of input tensor passed to the model. The 'default' is 504 px, 36 patches 14 x 14 px. The 'custom' option allows to set the spatial dimension manually via the num_patches parameter.
|
| num_patches |
integer
|
36
|
The maximum spatial dimension of input tensor defined in number of patches. The patch dimension is 14 px. Only used if processing_resolution is set to 'custom'.
|
| alpha_blend_onto |
None
|
keep
|
Blend mode for images with alpha channels. The 'mean' mode blends the image onto ImageNet mean RGB values. The 'keep' mode keeps the original pixel values.
|
| n_views |
integer
|
24
Min: 12 Max: 64 |
Number of views to split the panorama image into.
|
| view_fov |
integer
|
90
Min: 40 Max: 90 |
Field of view of each view in degrees.
|
| output_downscale |
integer
|
4
Min: 1 Max: 8 |
Downscale factor for the output depth image. Low downscale factor improves quality at the cost of processing speed. Use higher values for higher resolution panoramas.
|
| to_base64 |
boolean
|
True
|
Whether to return the arrays in JSON files as base64 strings with shape and dtype.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'description': 'Class defining structure of the output.\n'
'\n'
'Attributes:\n'
' data (Path): Path to the NPZ/JSON file containing the '
'panorama prediction results.\n'
' depth_image (Path | None): Optional path to depth image.\n'
' point_cloud (Path | None): Optional path to GLB point '
'cloud.\n'
' views_data (list[Path] | None): Optional list of paths to '
'the NPZ/JSON files containing\n'
' the prediction results for each view.',
'properties': {'data': {'format': 'uri', 'title': 'Data', 'type': 'string'},
'depth_image': {'format': 'uri',
'nullable': True,
'title': 'Depth Image',
'type': 'string'},
'point_cloud': {'format': 'uri',
'nullable': True,
'title': 'Point Cloud',
'type': 'string'},
'views_data': {'items': {'anyOf': [],
'format': 'uri',
'type': 'string'},
'nullable': True,
'title': 'Views Data',
'type': 'array'}},
'required': ['data'],
'title': 'PredictorOutput',
'type': 'object'}