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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 |
|---|---|---|---|
| video |
string
|
Source video (a slow, steady orbit around a static "
"subject works best).
|
|
| reconstruction_method |
None
|
glomap
|
Structure-from-Motion method. glomap (default) needs no "
"model weights.
|
| target_framecount |
integer
|
600
Min: 30 Max: 2000 |
Target number of frames to sample from the video.
|
| training_num_steps |
integer
|
30000
Min: 2000 Max: 30000 |
gsplat training steps. Fewer is faster but lower quality.
|
| training_max_num_gaussians |
integer
|
500000
Min: 100000 Max: 600000 |
Cap on the number of Gaussians. This is the primary "
"control on output .ply size: the gsplat exporter writes 164 bytes "
"per Gaussian (position + SH degree-2 color + opacity/scale/rot), so "
"~640k Gaussians ~= 100 MB. The ceiling here (600k ~= 98 MB) keeps "
"every output under 3DStreet's 100 MB save limit; the default 500k "
"(~82 MB) leaves headroom.
|
| equirectangular |
boolean
|
False
|
Treat the input as 360/equirectangular video.
|
| use_background_sphere |
boolean
|
False
|
Add a background sphere for distant/sky content. Helps "
"outdoor or 360 captures where the background is far away.
|
| remove_background |
boolean
|
False
|
Remove the background from each frame before "
"reconstruction (InSPyReNet). Good for isolating a single object; "
"leave OFF for scenes/environments where you want the surroundings.
|
| apriltag_size_meters |
number
|
Min: 0.01 Max: 10 |
If an AprilTag of known physical size (in meters) is "
"visible in the video, set it here to scale the reconstruction to "
"real-world units. Leave unset to skip metric scaling.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}