Adding ground truth labeling module #252
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EthanBunce
commented
Oct 18, 2024
| return {"FeatureName": feature_name, "ValueAsString": feature_value} | ||
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| def multi_threaded_batch_delete_message_from_sqs_and_save_to_feature_store( |
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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.
6 tasks
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kukushking
reviewed
Oct 22, 2024
kukushking
reviewed
Oct 24, 2024
# Conflicts: # CHANGELOG.md
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kukushking
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Oct 24, 2024
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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
CHANGELOG.MDwith a description of my changesscripts/validate.sh)seedfarmer applyBy submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.