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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 |
|---|---|---|---|
| image |
string
|
Input image, use an RGB image for optimal results.
|
|
| resize_input |
boolean
|
True
|
Resize the original input resolution to max resolution.
|
| num_infer |
integer
|
10
Min: 1 Max: 20 |
Number of inferences to be ensembled, a higher number gives better results but runs slower.
|
| denoise_steps |
integer
|
10
Min: 1 Max: 50 |
Inference denoising steps, more steps results in higher accuracy but slower inference speed.
|
| regularizer_strength |
number
|
0.02
Max: 1 |
Ensembling parameter, weight of optimization regularizer.
|
| reduction_method |
string
(enum)
|
median
Options: mean, median |
Ensembling parameter, method to merge aligned depth maps.
|
| max_iter |
integer
|
5
Min: 1 Max: 20 |
Ensembling parameter, max optimization iterations.
|
| seed |
integer
|
Seed for reproducibility, set to random if left as None.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}