Crate aws_sdk_lookoutvision

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This is the Amazon Lookout for Vision API Reference. It provides descriptions of actions, data types, common parameters, and common errors.

Amazon Lookout for Vision enables you to find visual defects in industrial products, accurately and at scale. It uses computer vision to identify missing components in an industrial product, damage to vehicles or structures, irregularities in production lines, and even minuscule defects in silicon wafers — or any other physical item where quality is important such as a missing capacitor on printed circuit boards.

§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-lookoutvision to your project, add the following to your Cargo.toml file:

[dependencies]
aws-config = { version = "1.1.7", features = ["behavior-version-latest"] }
aws-sdk-lookoutvision = "1.22.0"
tokio = { version = "1", features = ["full"] }

Then in code, a client can be created with the following:

use aws_sdk_lookoutvision as lookoutvision;

#[::tokio::main]
async fn main() -> Result<(), lookoutvision::Error> {
    let config = aws_config::load_from_env().await;
    let client = aws_sdk_lookoutvision::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

§Crate Organization

The entry point for most customers will be Client, which exposes one method for each API offered by Amazon Lookout for Vision. The return value of each of these methods is a “fluent builder”, where the different inputs for that API are added by builder-style function call chaining, followed by calling send() to get a Future that will result in either a successful output or a SdkError.

Some of these API inputs may be structs or enums to provide more complex structured information. These structs and enums live in types. There are some simpler types for representing data such as date times or binary blobs that live in primitives.

All types required to configure a client via the Config struct live in config.

The operation module has a submodule for every API, and in each submodule is the input, output, and error type for that API, as well as builders to construct each of those.

There is a top-level Error type that encompasses all the errors that the client can return. Any other error type can be converted to this Error type via the From trait.

The other modules within this crate are not required for normal usage.

Modules§

  • Client for calling Amazon Lookout for Vision.
  • Configuration for Amazon Lookout for Vision.
  • Common errors and error handling utilities.
  • Information about this crate.
  • All operations that this crate can perform.
  • Primitives such as Blob or DateTime used by other types.
  • Data structures used by operation inputs/outputs.

Structs§

  • Client for Amazon Lookout for Vision
  • Configuration for a aws_sdk_lookoutvision service client.

Enums§

  • All possible error types for this service.