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dive_into_dl_cv's Introduction

Deploying trained DL model using Fast-API

Instructions

This model uses transfer learning architecture, VGG16, to identify and predict gender and age of a person in an image.

Intall all dependencies

  • pip install -r requirements.txt

Training

click on the link to Google colab Link:

Fast-API (Deployment)

  1. Ensure all dependencies are installed pip install fastapi uvicorn aiofiles jinja2
  • uvicorn is a minimal low-level serve/application interface for setting up APIs
  • aiofiles enables server to work asynchronously with requests
  1. cd to the folder that contains script.py and server.py run on terminal: -uvicorn server:app--reload

  2. To fetch predictions: run on terminal:

  • curl -X POST "http://127.0.0.1:8000/predict" -H "accept: application/json" -H "Content-Type: multipart/form-data" -F "file=@/path to your image.png;type=image/png"

References:

  • Modern Computer Vision with Pytorch ( Ayyadevara & Reddy 2020)

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