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vufinder /map-anything:6ae3f444

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
inputs
array
Input files, accepts JPG, JPEG, PNG, WEBP files for images and MP4, AVI, MOV files for video and JSON for images with geometric input. The input images and sampled video frames will be padded to a single aspect ratio and resized to a maximum dimension of 518 pixels.
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.
return_pcd
boolean
True
Whether to return a point cloud file or not.
return_mesh
boolean
True
Whether to return a mesh file or not.
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.
keys_to_exclude
string
Comma-separated list of keys to exclude from the output JSON files.
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'
                '    point_cloud (Path | None): Path to the GLB point cloud '
                'file.\n'
                '    mesh (Path | None): Path to the GLB mesh file.\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'},
                'mesh': {'format': 'uri',
                         'nullable': True,
                         'title': 'Mesh',
                         'type': 'string'},
                'point_cloud': {'format': 'uri',
                                'nullable': True,
                                'title': 'Point Cloud',
                                'type': 'string'}},
 'required': ['data'],
 'title': 'PredictorOutput',
 'type': 'object'}