Rekognition / Client / get_content_moderation

get_content_moderation#

Rekognition.Client.get_content_moderation(**kwargs)#

Gets the inappropriate, unwanted, or offensive content analysis results for a Amazon Rekognition Video analysis started by StartContentModeration. For a list of moderation labels in Amazon Rekognition, see Using the image and video moderation APIs.

Amazon Rekognition Video inappropriate or offensive content detection in a stored video is an asynchronous operation. You start analysis by calling StartContentModeration which returns a job identifier ( JobId). When analysis finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to StartContentModeration. To get the results of the content analysis, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetContentModeration and pass the job identifier ( JobId) from the initial call to StartContentModeration.

For more information, see Working with Stored Videos in the Amazon Rekognition Devlopers Guide.

GetContentModeration returns detected inappropriate, unwanted, or offensive content moderation labels, and the time they are detected, in an array, ModerationLabels, of ContentModerationDetection objects.

By default, the moderated labels are returned sorted by time, in milliseconds from the start of the video. You can also sort them by moderated label by specifying NAME for the SortBy input parameter.

Since video analysis can return a large number of results, use the MaxResults parameter to limit the number of labels returned in a single call to GetContentModeration. If there are more results than specified in MaxResults, the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetContentModeration and populate the NextToken request parameter with the value of NextToken returned from the previous call to GetContentModeration.

For more information, see moderating content in the Amazon Rekognition Developer Guide.

Request Syntax

response = client.get_content_moderation(
    JobId='string',
    MaxResults=123,
    NextToken='string',
    SortBy='NAME'|'TIMESTAMP',
    AggregateBy='TIMESTAMPS'|'SEGMENTS'
)

Parameters:

JobId (string) –
[REQUIRED]

The identifier for the inappropriate, unwanted, or offensive content moderation job. Use JobId to identify the job in a subsequent call to GetContentModeration.
MaxResults (integer) – Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.
NextToken (string) – If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of content moderation labels.
SortBy (string) – Sort to use for elements in the ModerationLabelDetections array. Use TIMESTAMP to sort array elements by the time labels are detected. Use NAME to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by TIMESTAMP.
AggregateBy (string) – Defines how to aggregate results of the StartContentModeration request. Default aggregation option is TIMESTAMPS. SEGMENTS mode aggregates moderation labels over time.

Return type:

dict

Returns:

Response Syntax

{
    'JobStatus': 'IN_PROGRESS'|'SUCCEEDED'|'FAILED',
    'StatusMessage': 'string',
    'VideoMetadata': {
        'Codec': 'string',
        'DurationMillis': 123,
        'Format': 'string',
        'FrameRate': ...,
        'FrameHeight': 123,
        'FrameWidth': 123,
        'ColorRange': 'FULL'|'LIMITED'
    },
    'ModerationLabels': [
        {
            'Timestamp': 123,
            'ModerationLabel': {
                'Confidence': ...,
                'Name': 'string',
                'ParentName': 'string',
                'TaxonomyLevel': 123
            },
            'StartTimestampMillis': 123,
            'EndTimestampMillis': 123,
            'DurationMillis': 123,
            'ContentTypes': [
                {
                    'Confidence': ...,
                    'Name': 'string'
                },
            ]
        },
    ],
    'NextToken': 'string',
    'ModerationModelVersion': 'string',
    'JobId': 'string',
    'Video': {
        'S3Object': {
            'Bucket': 'string',
            'Name': 'string',
            'Version': 'string'
        }
    },
    'JobTag': 'string',
    'GetRequestMetadata': {
        'SortBy': 'NAME'|'TIMESTAMP',
        'AggregateBy': 'TIMESTAMPS'|'SEGMENTS'
    }
}

Response Structure

(dict) –
- JobStatus (string) –
  
  The current status of the content moderation analysis job.
- StatusMessage (string) –
  
  If the job fails, StatusMessage provides a descriptive error message.
- VideoMetadata (dict) –
  
  Information about a video that Amazon Rekognition analyzed. Videometadata is returned in every page of paginated responses from GetContentModeration.
  - Codec (string) –
    
    Type of compression used in the analyzed video.
  - DurationMillis (integer) –
    
    Length of the video in milliseconds.
  - Format (string) –
    
    Format of the analyzed video. Possible values are MP4, MOV and AVI.
  - FrameRate (float) –
    
    Number of frames per second in the video.
  - FrameHeight (integer) –
    
    Vertical pixel dimension of the video.
  - FrameWidth (integer) –
    
    Horizontal pixel dimension of the video.
  - ColorRange (string) –
    
    A description of the range of luminance values in a video, either LIMITED (16 to 235) or FULL (0 to 255).
- ModerationLabels (list) –
  
  The detected inappropriate, unwanted, or offensive content moderation labels and the time(s) they were detected.
  - (dict) –
    
    Information about an inappropriate, unwanted, or offensive content label detection in a stored video.
    - Timestamp (integer) –
      
      Time, in milliseconds from the beginning of the video, that the content moderation label was detected. Note that Timestamp is not guaranteed to be accurate to the individual frame where the moderated content first appears.
    - ModerationLabel (dict) –
      
      The content moderation label detected by in the stored video.
      - Confidence (float) –
        
        Specifies the confidence that Amazon Rekognition has that the label has been correctly identified.
        
        If you don’t specify the MinConfidence parameter in the call to DetectModerationLabels, the operation returns labels with a confidence value greater than or equal to 50 percent.
      - Name (string) –
        
        The label name for the type of unsafe content detected in the image.
      - ParentName (string) –
        
        The name for the parent label. Labels at the top level of the hierarchy have the parent label "".
      - TaxonomyLevel (integer) –
        
        The level of the moderation label with regard to its taxonomy, from 1 to 3.
    - StartTimestampMillis (integer) –
      
      The time in milliseconds defining the start of the timeline segment containing a continuously detected moderation label.
    - EndTimestampMillis (integer) –
      
      The time in milliseconds defining the end of the timeline segment containing a continuously detected moderation label.
    - DurationMillis (integer) –
      
      The time duration of a segment in milliseconds, I.e. time elapsed from StartTimestampMillis to EndTimestampMillis.
    - ContentTypes (list) –
      
      A list of predicted results for the type of content an image contains. For example, the image content might be from animation, sports, or a video game.
      - (dict) –
        
        Contains information regarding the confidence and name of a detected content type.
        
        Confidence (float) –
        
        The confidence level of the label given
        
        Name (string) –
        
        The name of the label
- NextToken (string) –
  
  If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of content moderation labels.
- ModerationModelVersion (string) –
  
  Version number of the moderation detection model that was used to detect inappropriate, unwanted, or offensive content.
- JobId (string) –
  
  Job identifier for the content moderation operation for which you want to obtain results. The job identifer is returned by an initial call to StartContentModeration.
- Video (dict) –
  
  Video file stored in an Amazon S3 bucket. Amazon Rekognition video start operations such as StartLabelDetection use Video to specify a video for analysis. The supported file formats are .mp4, .mov and .avi.
  - S3Object (dict) –
    
    The Amazon S3 bucket name and file name for the video.
    - Bucket (string) –
      
      Name of the S3 bucket.
    - Name (string) –
      
      S3 object key name.
    - Version (string) –
      
      If the bucket is versioning enabled, you can specify the object version.
- JobTag (string) –
  
  A job identifier specified in the call to StartContentModeration and returned in the job completion notification sent to your Amazon Simple Notification Service topic.
- GetRequestMetadata (dict) –
  
  Information about the paramters used when getting a response. Includes information on aggregation and sorting methods.
  - SortBy (string) –
    
    The sorting method chosen for a GetContentModeration request.
  - AggregateBy (string) –
    
    The aggregation method chosen for a GetContentModeration request.

Exceptions

Rekognition.Client.exceptions.AccessDeniedException
Rekognition.Client.exceptions.InternalServerError
Rekognition.Client.exceptions.InvalidParameterException
Rekognition.Client.exceptions.InvalidPaginationTokenException
Rekognition.Client.exceptions.ProvisionedThroughputExceededException
Rekognition.Client.exceptions.ResourceNotFoundException
Rekognition.Client.exceptions.ThrottlingException