SearchResult.md

SearchResult

Properties

Name	Type	Description	Notes
url	str	URL of the asset
score	float	Relative measure that illustrates a degree similarity between the input query and the resulting asset. It is computed as the cosine similarity between the NVCLIP embedding of the input query and the respective NVCLIP embedding of the result
embed	str		[optional]
root_prims	List[Prim1]		[optional]
default_prims	List[Prim1]		[optional]
image	str		[optional]
predictions	List[Prediction]		[optional]
vision_generated_metadata	Dict[str, str]		[optional]
metadata	Metadata		[optional]
in_scene_instance_prims	List[Prim1]		[optional]

Example

from usd_search_client.models.search_result import SearchResult

# update the JSON string below
json = "{}"
# create an instance of SearchResult from a JSON string
search_result_instance = SearchResult.from_json(json)
# print the JSON string representation of the object
print(SearchResult.to_json())

# convert the object into a dict
search_result_dict = search_result_instance.to_dict()
# create an instance of SearchResult from a dict
search_result_from_dict = SearchResult.from_dict(search_result_dict)

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