As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Types for Google Cloud Aiplatform V1beta1 Schema Predict Instance v1beta1 API

class google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.ImageClassificationPredictionInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction input format for Image Classification.

content

The image bytes or Cloud Storage URI to make the prediction on.

Type:

str

mime_type

The MIME type of the content of the image. Only the images in below listed MIME types are supported. - image/jpeg - image/gif - image/png - image/webp - image/bmp - image/tiff - image/vnd.microsoft.icon

Type:

str

class google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.ImageObjectDetectionPredictionInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction input format for Image Object Detection.

content

The image bytes or Cloud Storage URI to make the prediction on.

Type:

str

mime_type

The MIME type of the content of the image. Only the images in below listed MIME types are supported. - image/jpeg - image/gif - image/png - image/webp - image/bmp - image/tiff - image/vnd.microsoft.icon

Type:

str

class google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.ImageSegmentationPredictionInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction input format for Image Segmentation.

content

The image bytes to make the predictions on.

Type:

str

mime_type

The MIME type of the content of the image. Only the images in below listed MIME types are supported. - image/jpeg - image/png

Type:

str

class google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.TextClassificationPredictionInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction input format for Text Classification.

content

The text snippet to make the predictions on.

Type:

str

mime_type

The MIME type of the text snippet. The supported MIME types are listed below. - text/plain

Type:

str

class google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.TextExtractionPredictionInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction input format for Text Extraction.

content

The text snippet to make the predictions on.

Type:

str

mime_type

The MIME type of the text snippet. The supported MIME types are listed below. - text/plain

Type:

str

key

This field is only used for batch prediction. If a key is provided, the batch prediction result will by mapped to this key. If omitted, then the batch prediction result will contain the entire input instance. Vertex AI will not check if keys in the request are duplicates, so it is up to the caller to ensure the keys are unique.

Type:

str

class google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.TextSentimentPredictionInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction input format for Text Sentiment.

content

The text snippet to make the predictions on.

Type:

str

mime_type

The MIME type of the text snippet. The supported MIME types are listed below. - text/plain

Type:

str

class google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.VideoActionRecognitionPredictionInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction input format for Video Action Recognition.

content

The Google Cloud Storage location of the video on which to perform the prediction.

Type:

str

mime_type

The MIME type of the content of the video. Only the following are supported: video/mp4 video/avi video/quicktime

Type:

str

time_segment_start

The beginning, inclusive, of the video’s time segment on which to perform the prediction. Expressed as a number of seconds as measured from the start of the video, with “s” appended at the end. Fractions are allowed, up to a microsecond precision.

Type:

str

time_segment_end

The end, exclusive, of the video’s time segment on which to perform the prediction. Expressed as a number of seconds as measured from the start of the video, with “s” appended at the end. Fractions are allowed, up to a microsecond precision, and “inf” or “Infinity” is allowed, which means the end of the video.

Type:

str

class google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.VideoClassificationPredictionInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction input format for Video Classification.

content

The Google Cloud Storage location of the video on which to perform the prediction.

Type:

str

mime_type

The MIME type of the content of the video. Only the following are supported: video/mp4 video/avi video/quicktime

Type:

str

time_segment_start

The beginning, inclusive, of the video’s time segment on which to perform the prediction. Expressed as a number of seconds as measured from the start of the video, with “s” appended at the end. Fractions are allowed, up to a microsecond precision.

Type:

str

time_segment_end

The end, exclusive, of the video’s time segment on which to perform the prediction. Expressed as a number of seconds as measured from the start of the video, with “s” appended at the end. Fractions are allowed, up to a microsecond precision, and “inf” or “Infinity” is allowed, which means the end of the video.

Type:

str

class google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.VideoObjectTrackingPredictionInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction input format for Video Object Tracking.

content

The Google Cloud Storage location of the video on which to perform the prediction.

Type:

str

mime_type

The MIME type of the content of the video. Only the following are supported: video/mp4 video/avi video/quicktime

Type:

str

time_segment_start

The beginning, inclusive, of the video’s time segment on which to perform the prediction. Expressed as a number of seconds as measured from the start of the video, with “s” appended at the end. Fractions are allowed, up to a microsecond precision.

Type:

str

time_segment_end

The end, exclusive, of the video’s time segment on which to perform the prediction. Expressed as a number of seconds as measured from the start of the video, with “s” appended at the end. Fractions are allowed, up to a microsecond precision, and “inf” or “Infinity” is allowed, which means the end of the video.

Type:

str