96 releases (52 stable)
new 1.53.0 | Dec 4, 2024 |
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1.52.0 | Nov 6, 2024 |
1.51.0 | Oct 31, 2024 |
1.39.0 | Jul 22, 2024 |
0.0.0 |
|
#2116 in Network programming
9,661 downloads per month
Used in 3 crates
7MB
104K
SLoC
aws-sdk-rekognition
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
- AssociateFaces
- CompareFaces
- CreateCollection
- CreateUser
- DeleteCollection
- DeleteFaces
- DeleteUser
- DescribeCollection
- DetectFaces
- DetectLabels
- DetectModerationLabels
- DetectProtectiveEquipment
- DetectText
- DisassociateFaces
- GetCelebrityInfo
- GetMediaAnalysisJob
- IndexFaces
- ListCollections
- ListMediaAnalysisJob
- ListFaces
- ListUsers
- RecognizeCelebrities
- SearchFaces
- SearchFacesByImage
- SearchUsers
- SearchUsersByImage
- StartMediaAnalysisJob
Amazon Rekognition Custom Labels
- CopyProjectVersion
- CreateDataset
- CreateProject
- CreateProjectVersion
- DeleteDataset
- DeleteProject
- DeleteProjectPolicy
- DeleteProjectVersion
- DescribeDataset
- DescribeProjects
- DescribeProjectVersions
- DetectCustomLabels
- DistributeDatasetEntries
- ListDatasetEntries
- ListDatasetLabels
- ListProjectPolicies
- PutProjectPolicy
- StartProjectVersion
- StopProjectVersion
- UpdateDatasetEntries
Amazon Rekognition Video Stored Video
- GetCelebrityRecognition
- GetContentModeration
- GetFaceDetection
- GetFaceSearch
- GetLabelDetection
- GetPersonTracking
- GetSegmentDetection
- GetTextDetection
- StartCelebrityRecognition
- StartContentModeration
- StartFaceDetection
- StartFaceSearch
- StartLabelDetection
- StartPersonTracking
- StartSegmentDetection
- StartTextDetection
Amazon Rekognition Video Streaming Video
- CreateStreamProcessor
- DeleteStreamProcessor
- DescribeStreamProcessor
- ListStreamProcessors
- StartStreamProcessor
- StopStreamProcessor
- UpdateStreamProcessor
Getting Started
Examples are available for many services and operations, check out the examples folder in GitHub.
The SDK provides one crate per AWS service. You must add Tokio
as a dependency within your Rust project to execute asynchronous code. To add aws-sdk-rekognition
to
your project, add the following to your Cargo.toml file:
[dependencies]
aws-config = { version = "1.1.7", features = ["behavior-version-latest"] }
aws-sdk-rekognition = "1.53.0"
tokio = { version = "1", features = ["full"] }
Then in code, a client can be created with the following:
use aws_sdk_rekognition as rekognition;
#[::tokio::main]
async fn main() -> Result<(), rekognition::Error> {
let config = aws_config::load_from_env().await;
let client = aws_sdk_rekognition::Client::new(&config);
// ... make some calls with the client
Ok(())
}
See the client documentation for information on what calls can be made, and the inputs and outputs for each of those calls.
Using the SDK
Until the SDK is released, we will be adding information about using the SDK to the Developer Guide. Feel free to suggest additional sections for the guide by opening an issue and describing what you are trying to do.
Getting Help
- GitHub discussions - For ideas, RFCs & general questions
- GitHub issues - For bug reports & feature requests
- Generated Docs (latest version)
- Usage examples
License
This project is licensed under the Apache-2.0 License.
Dependencies
~8–19MB
~283K SLoC