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identity-recognition's Introduction

  • Recognizes people whose photos have been sent to app.py 's webservice

  • pip install os, Flask, FlaskRestful, shutil, pathlib2, mmh3, requests, json, base64, opencv-contrib-python, pickle, numpy, statistics, PIL, sys

  • to train images you have to exit the webservice with CTRL+C in the terminal

  • .json file has to be a dictionary like dict = {name: "teresa coco", image: <image in 64bits>}

  • to convert image to 64bits , open jason.py and copy paste the commented code to a new editor, the uncommented code is to create the .json file

  • Create a folder named "src" in your project's directory and inside it one called "images"

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