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Onboard PaddleOCR with SageMaker Projects for MLOps, illustration with optical character recognition on identity documents

License: MIT No Attribution

Dockerfile 5.43% Python 52.62% Shell 1.69% Jupyter Notebook 40.25%

train-and-deploy-ocr-model-on-amazon-sagemaker's Introduction

train-and-deploy-ocr-model-on-amazon-sagemaker

Onboard PaddleOCR with SageMaker Projects for MLOps, illustration with optical character recognition on identity documents

Quick Start

Run train_and_deploy/notebook.ipynb on Amazon SageMaker Notebook Instances

Or follow step-by-step guidance on Amazon SageMaker Studio Notebooks with our blog post (to be annoucned)

Code Structure

  • experiments-sagemaker-studio (SageMaker training and deployment SDK)
  • train_and_deploy (Quick start notebook on SageMaker notebook instances)
  • image-build-process (data generation container with CodeBuild template for CICD)
  • image-build-train (training container with CodeBuild template for CICD )
  • image-build-deploy (inference container with CodeBuild template for CICD)
  • sagemaker_pipelines (SageMaker Pipelines for model build workflow)

Features

alt text

Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.

train-and-deploy-ocr-model-on-amazon-sagemaker's People

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