vision Package

Azure AI Vision SDK for Python

Modules

diagnostics_logging	Classes that handle Vision SDK logging for troubleshooting purposes. If you report an issue to Microsoft, you may be asked to provide a Vision SDK log.
enums
image_analysis_client	Classes that represents the handling of Image Analysis functionalities.
image_analysis_data	Classes that represents the data structures of vision image analysis results.
interop
properties
version
vision_base_client	Classes that handles vision base functionalities for the various recognizers/analyzers.

Classes

ConsoleLogger	Represents a process-wide singleton that emits SDK log traces to the console.
FileLogger	Represents a process-wide singleton that emits SDK log traces to a provided file.
Frame	Represents a Frame being passed into or retrieved from the Vision SDK. :param buffer:The memory that contains the frame.
FrameFormat	Represents a collection of image format properties (e.g. FOURCC, width, height, stride, ...)
FrameSource	Represents a source of image frame data, used as input to or output from Vision AI operations.
FrameSourceCallback	An interface that defines callback method used with FrameSource Not fully implemented.
FrameWriter	Represents the ability to write image frame data, for use as input with Vision AI scenario operations.
ImageAnalysisErrorDetails	A representation of an error associated with an image analysis result.
ImageAnalysisEventArgs	Represents an asynchronous Image Analysis result payload as an event argument
ImageAnalysisOptions	Represents the configuration options that control the function of the ImageAnalyzer. If you are doing Image Analysis using the standard model, you must set the features property to one or more visual features to analyze. There is no default selection for visual features. If you are using a custom model or doing Image Segmentation, you do not need to specify visual features.
ImageAnalysisResult	Represents the outcome of an Image Analysis operation. Always start by checking the value of reason property to determine if the analysis operation was successful or not. When an analysis operation is successful, applicable properties in this object will be populated based on the selected features (ImageAnalysisOptions.features) or custom-trained model (ImageAnalysisOptions.model_name). These results are parsed from the service JSON response. Other properties will be None. Call ImageAnalysisResultDetails.from_result to get access to additional information about the result, such as the raw JSON response. When analysis operation failed, call ImageAnalysisErrorDetails.from_result to get access to additional information about the error.
ImageAnalysisResultDetails	Represents additional information related to an image analysis result.
ImageAnalyzer	An object that facilitates Image Analysis operations with the Computer Vision service
ImageSourceBuffer	Represents a source of image data, used as input to or output from Vision AI operations. Note When used with ImageAnalyzer, callback is not supported. Call this constructor without arguments. Then, using the image_writer property, get access to the ImageWriter object and write the image data to it.
ImageSourceBufferCallback	An interface that defines callback method used with ImageSourceBuffer. Not implemented.
ImageWriter	Represents the ability to write image data, for use as input to Vision AI operations.
MemoryLogger	Represents a process-wide singleton that stores SDK log messages in a memory buffer.
VisionServiceOptions	Represents the configuration options used to connect to a remote Vision AI Service key securely. For example, using Azure Key Vault. Do not compile the value of your key into your application source code. Fetch it at run-time when needed from a secure location.
VisionSource	Represents a source of vision data, used as input to a Computer Vision operation.