Client

rekognition

R Documentation

Amazon Rekognition¶

Description¶

This is the API Reference for Amazon Rekognition Image, Amazon Rekognition Custom Labels, Amazon Rekognition Stored Video, Amazon Rekognition Streaming Video. It provides descriptions of actions, data types, common parameters, and common errors.

Amazon Rekognition Image

associate_faces
compare_faces
create_collection
create_user
delete_collection
delete_faces
delete_user
describe_collection
detect_faces
detect_labels
detect_moderation_labels
detect_protective_equipment
detect_text
disassociate_faces
get_celebrity_info
get_media_analysis_job
index_faces
list_collections
ListMediaAnalysisJob
list_faces
list_users
recognize_celebrities
search_faces
search_faces_by_image
search_users
search_users_by_image
start_media_analysis_job

Amazon Rekognition Custom Labels

copy_project_version
create_dataset
create_project
create_project_version
delete_dataset
delete_project
delete_project_policy
delete_project_version
describe_dataset
describe_projects
describe_project_versions
detect_custom_labels
distribute_dataset_entries
list_dataset_entries
list_dataset_labels
list_project_policies
put_project_policy
start_project_version
stop_project_version
update_dataset_entries

Amazon Rekognition Video Stored Video

get_celebrity_recognition
get_content_moderation
get_face_detection
get_face_search
get_label_detection
get_person_tracking
get_segment_detection
get_text_detection
start_celebrity_recognition
start_content_moderation
start_face_detection
start_face_search
start_label_detection
start_person_tracking
start_segment_detection
start_text_detection

Amazon Rekognition Video Streaming Video

create_stream_processor
delete_stream_processor
describe_stream_processor
list_stream_processors
start_stream_processor
stop_stream_processor
update_stream_processor

Usage¶

rekognition(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments¶

config

Optional configuration of credentials, endpoint, and/or region.

credentials:
- creds:
  - access_key_id: AWS access key ID
  - secret_access_key: AWS secret access key
  - session_token: AWS temporary session token
- profile: The name of a profile to use. If not given, then the default profile is used.
- anonymous: Set anonymous credentials.
endpoint: The complete URL to use for the constructed client.
region: The AWS Region used in instantiating the client.
close_connection: Immediately close all HTTP connections.
timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.
s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.
sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

creds:
- access_key_id: AWS access key ID
- secret_access_key: AWS secret access key
- session_token: AWS temporary session token
profile: The name of a profile to use. If not given, then the default profile is used.
anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value¶

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax¶

svc <- rekognition(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations¶

associate_faces: Associates one or more faces with an existing UserID
compare_faces: Compares a face in the source input image with each of the 100 largest faces detected in the target input image
copy_project_version: This operation applies only to Amazon Rekognition Custom Labels
create_collection: Creates a collection in an AWS Region
create_dataset: This operation applies only to Amazon Rekognition Custom Labels
create_face_liveness_session: This API operation initiates a Face Liveness session
create_project: Creates a new Amazon Rekognition project
create_project_version: Creates a new version of Amazon Rekognition project (like a Custom Labels model or a custom adapter) and begins training
create_stream_processor: Creates an Amazon Rekognition stream processor that you can use to detect and recognize faces or to detect labels in a streaming video
create_user: Creates a new User within a collection specified by CollectionId
delete_collection: Deletes the specified collection
delete_dataset: This operation applies only to Amazon Rekognition Custom Labels
delete_faces: Deletes faces from a collection
delete_project: Deletes a Amazon Rekognition project
delete_project_policy: This operation applies only to Amazon Rekognition Custom Labels
delete_project_version: Deletes a Rekognition project model or project version, like a Amazon Rekognition Custom Labels model or a custom adapter
delete_stream_processor: Deletes the stream processor identified by Name
delete_user: Deletes the specified UserID within the collection
describe_collection: Describes the specified collection
describe_dataset: This operation applies only to Amazon Rekognition Custom Labels
describe_projects: Gets information about your Rekognition projects
describe_project_versions: Lists and describes the versions of an Amazon Rekognition project
describe_stream_processor: Provides information about a stream processor created by CreateStreamProcessor
detect_custom_labels: This operation applies only to Amazon Rekognition Custom Labels
detect_faces: Detects faces within an image that is provided as input
detect_labels: Detects instances of real-world entities within an image (JPEG or PNG) provided as input
detect_moderation_labels: Detects unsafe content in a specified JPEG or PNG format image
detect_protective_equipment: Detects Personal Protective Equipment (PPE) worn by people detected in an image
detect_text: Detects text in the input image and converts it into machine-readable text
disassociate_faces: Removes the association between a Face supplied in an array of FaceIds and the User
distribute_dataset_entries: This operation applies only to Amazon Rekognition Custom Labels
get_celebrity_info: Gets the name and additional information about a celebrity based on their Amazon Rekognition ID
get_celebrity_recognition: Gets the celebrity recognition results for a Amazon Rekognition Video analysis started by StartCelebrityRecognition
get_content_moderation: Gets the inappropriate, unwanted, or offensive content analysis results for a Amazon Rekognition Video analysis started by StartContentModeration
get_face_detection: Gets face detection results for a Amazon Rekognition Video analysis started by StartFaceDetection
get_face_liveness_session_results: Retrieves the results of a specific Face Liveness session
get_face_search: Gets the face search results for Amazon Rekognition Video face search started by StartFaceSearch
get_label_detection: Gets the label detection results of a Amazon Rekognition Video analysis started by StartLabelDetection
get_media_analysis_job: Retrieves the results for a given media analysis job
get_person_tracking: Gets the path tracking results of a Amazon Rekognition Video analysis started by StartPersonTracking
get_segment_detection: Gets the segment detection results of a Amazon Rekognition Video analysis started by StartSegmentDetection
get_text_detection: Gets the text detection results of a Amazon Rekognition Video analysis started by StartTextDetection
index_faces: Detects faces in the input image and adds them to the specified collection
list_collections: Returns list of collection IDs in your account
list_dataset_entries: This operation applies only to Amazon Rekognition Custom Labels
list_dataset_labels: This operation applies only to Amazon Rekognition Custom Labels
list_faces: Returns metadata for faces in the specified collection
list_media_analysis_jobs: Returns a list of media analysis jobs
list_project_policies: This operation applies only to Amazon Rekognition Custom Labels
list_stream_processors: Gets a list of stream processors that you have created with CreateStreamProcessor
list_tags_for_resource: Returns a list of tags in an Amazon Rekognition collection, stream processor, or Custom Labels model
list_users: Returns metadata of the User such as UserID in the specified collection
put_project_policy: This operation applies only to Amazon Rekognition Custom Labels
recognize_celebrities: Returns an array of celebrities recognized in the input image
search_faces: For a given input face ID, searches for matching faces in the collection the face belongs to
search_faces_by_image: For a given input image, first detects the largest face in the image, and then searches the specified collection for matching faces
search_users: Searches for UserIDs within a collection based on a FaceId or UserId
search_users_by_image: Searches for UserIDs using a supplied image
start_celebrity_recognition: Starts asynchronous recognition of celebrities in a stored video
start_content_moderation: Starts asynchronous detection of inappropriate, unwanted, or offensive content in a stored video
start_face_detection: Starts asynchronous detection of faces in a stored video
start_face_search: Starts the asynchronous search for faces in a collection that match the faces of persons detected in a stored video
start_label_detection: Starts asynchronous detection of labels in a stored video
start_media_analysis_job: Initiates a new media analysis job
start_person_tracking: Starts the asynchronous tracking of a person's path in a stored video
start_project_version: This operation applies only to Amazon Rekognition Custom Labels
start_segment_detection: Starts asynchronous detection of segment detection in a stored video
start_stream_processor: Starts processing a stream processor
start_text_detection: Starts asynchronous detection of text in a stored video
stop_project_version: This operation applies only to Amazon Rekognition Custom Labels
stop_stream_processor: Stops a running stream processor that was created by CreateStreamProcessor
tag_resource: Adds one or more key-value tags to an Amazon Rekognition collection, stream processor, or Custom Labels model
untag_resource: Removes one or more tags from an Amazon Rekognition collection, stream processor, or Custom Labels model
update_dataset_entries: This operation applies only to Amazon Rekognition Custom Labels
update_stream_processor: Allows you to update a stream processor

Examples¶

## Not run: 
svc <- rekognition()
# This operation associates one or more faces with an existing UserID.
svc$associate_faces(
  ClientRequestToken = "550e8400-e29b-41d4-a716-446655440002",
  CollectionId = "MyCollection",
  FaceIds = list(
    "f5817d37-94f6-4335-bfee-6cf79a3d806e",
    "851cb847-dccc-4fea-9309-9f4805967855",
    "35ebbb41-7f67-4263-908d-dd0ecba05ab9"
  ),
  UserId = "DemoUser",
  UserMatchThreshold = 70L
)

## End(Not run)