Source code for azure.cognitiveservices.search.visualsearch.models.image_info_py3

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from msrest.serialization import Model


[docs]class ImageInfo(Model): """A JSON object that identities the image to get insights of . It also includes the optional crop area that you use to identify the region of interest in the image. :param image_insights_token: An image insights token. To get the insights token, call one of the Image Search APIs (for example, /images/search). In the search results, the [Image](https://docs.microsoft.com/en-us/rest/api/cognitiveservices/bing-images-api-v7-reference#image) object's [imageInsightsToken](https://docs.microsoft.com/en-us/rest/api/cognitiveservices/bing-images-api-v7-reference#image-imageinsightstoken) field contains the token. The imageInsightsToken and url fields mutually exclusive; do not specify both. Do not specify an insights token if the request includes the image form data. :type image_insights_token: str :param url: The URL of the input image. The imageInsightsToken and url fields are mutually exclusive; do not specify both. Do not specify the URL if the request includes the image form data. :type url: str :param crop_area: A JSON object consisting of coordinates specifying the four corners of a cropped rectangle within the input image. Use the crop area to identify the region of interest in the image. You can apply the crop area to the images specified using the imageInsightsToken or url fields, or an image binary specified in an image form data. :type crop_area: ~azure.cognitiveservices.search.visualsearch.models.CropArea """ _attribute_map = { 'image_insights_token': {'key': 'imageInsightsToken', 'type': 'str'}, 'url': {'key': 'url', 'type': 'str'}, 'crop_area': {'key': 'cropArea', 'type': 'CropArea'}, } def __init__(self, *, image_insights_token: str=None, url: str=None, crop_area=None, **kwargs) -> None: super(ImageInfo, self).__init__(**kwargs) self.image_insights_token = image_insights_token self.url = url self.crop_area = crop_area