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SWS2023-Home-Work-Traffic

NUS SWS2023 Cloud computing with big data project

CV model

model

  • use yolov5 to find the cars in the road
  • use the VisDrone datasets and self-labeled datasets to train our model

performance

image details are in file: CVresults

deployment

EC2

  • upload our model to the EC2
  • use flask to run our model on the server, and receive the request
  • use boto3 to send the result to the AWS S3

EMR

  • configure enviroment using bootstrap action script
  • upload files to cluster from S3 bucket
  • deploy pyspark program

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NUS SWS2023 Cloud computing with big data project

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