Adding ground truth labeling module

[EthanBunce]

Describe your changes

Added the sagemaker ground truth labeling module. Module provides a workflow to label items using sagemaker ground truth labeling. Users upload the data to a bucket, which is then sent to an SQS queue. A state machine pulls data from the queue, runs a labeling job and a verification job (if the task type supports it), before saving the labels to a sagemaker feature store.

Module currently supports all built in task types for image and text labeling, but could be expanded to video and 3d point in the future.

Checklist before requesting a review

• I updated CHANGELOG.MD with a description of my changes
• If the change was to a module, I ran the code validation script (scripts/validate.sh)
• If the change was to a module, I have added thorough tests
• If the change was to a module, I have added/updated the module's README.md
• If a module was added, I added a reference to the module to the repository's README.md
• I verified that my code deploys successfully using seedfarmer apply

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

[malachi-constant]

AWS CodeBuild CI Report

• CodeBuild project: AIOpsModuleTestsInfrastruct-doMLXEYsnmxr
• Commit ID: f228d22
• Result: SUCCEEDED
• Build Logs (available for 30 days)

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[EthanBunce]

Decided to multi-thread here due to sagemaker feature store not having a batch put operation. Running single threaded would cause issues at scale with lambda time limits.