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super-resolution-service

  • Perform 4x upscaling using ESRGAN
    • ONNX runtime to perform inferencing
    • ESRGAN .onnx converted from the original PyTorch model
  • Compile and test locally with ./gradlew build
  • Build and deploy container to CUDA enabled Docker host with:
    docker build -t super-resolution-service .
    docker run -p 8080:8080 --name super-resolution-service --gpus all super-resolution-service
    

TODO

  • add more models

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an image upscaling service built with ESRGAN, ONNX, Helidon

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