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vufinder /vggt-1b-depth:cb9ca7fb

Playground API

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
alpha_blend_onto
None
white
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.
inputs
array
Input files, accepts JPG, JPEG, PNG, WEBP files for images and MP4, AVI, MOV files for video. The input images and sampled video frames will be padded to a single aspect ratio and resized to a maximum dimension of 518 pixels.
to_base64
boolean
True
Whether to return the arrays in JSON files as base64 strings with shape and dtype.
return_pcd
boolean
True
Whether to return a point cloud file or not.
return_depth
boolean
True
Whether to return depth images or not.
sampling_rate
integer
24
Sampling rate for video input as every n-th frame. Only applies to video inputs. First and last frames of the video will always be included.
keys_to_exclude
string
Comma-separated list of keys to exclude from the output JSON files.

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'
                '    point_cloud (Optional[Path]): Path to the GLB point cloud '
                'file.\n'
                '    depth_images (Optional[list[Path]]): List of paths to '
                'depth images.\n'
                '    data (list[Path]): List of paths to the JSON files '
                'containing the prediction results.',
 'properties': {'data': {'items': {'format': 'uri', 'type': 'string'},
                         'title': 'Data',
                         'type': 'array'},
                'depth_images': {'items': {'anyOf': [],
                                           'format': 'uri',
                                           'type': 'string'},
                                 'nullable': True,
                                 'title': 'Depth Images',
                                 'type': 'array'},
                'point_cloud': {'format': 'uri',
                                'nullable': True,
                                'title': 'Point Cloud',
                                'type': 'string'}},
 'required': ['data'],
 'title': 'PredictorOutput',
 'type': 'object'}