{"info":{"_postman_id":"a9d75bbd-81e5-44a7-acae-2474178caa2b","name":"Face Recognition System","description":"

Introduction

This API runs face recognition algorithm on given image, create report for work hours of person or company on given database

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Add a person to face recognition system

Python Usage:

url = 'webserver/api/v1/add'

files = [('image', open(\"image1path.jpg\", 'rb')), ('image', open(\"image2path.jpg\", 'rb'))]

r = requests.post(url, files=files)

example response: r.text = {Success: x photo added}

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Run face recognition on given image

Python Usage:

url = 'webserver/api/v1/recognize'

files = [('image', open(\"image1path.jpg\", 'rb'))]

r = requests.post(url, files=files)

example response: r.text = {[\n {\n \"distance_score\": 0.26565412, \n \"matched_name\": \"Ali_Koc\"\n }\n]}

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Get an byte array for report of the image

Important: get_report returns bytes for the image of the report so, it should be converted correctly to use

expected_arguments = [\"name\", \"report_type\", \"period\", \"week\", \"month\", \"year\"]

\"name\": Name of the person to be reported

There are 2 types of report for usage.

report_type: \"individual\" or \"all\";

\"individual\" creates personal report for given name at the parameters \"name\"

\"all\" creates general report for all persons at the database

There are 3 options of period for usage.

\"week\", \"month\" and \"year\";

\"week\": Creates weekly report

\"month\": Creates monthly report

\"year\": Creates yearly report

The other parameters at the argument list \"week\", \"month\" and \"year\" are just used to indicate the date.

Python Usage:

url = 'webserver/api/v1/get_report'

data = {\"name\": \"Abdullah\", \"report_type\": \"individual\", \"period\": \"year\", \"week\": \"1\", \"month\": \"1\", \"year\": \"2020\"}

r = requests.post(url, data=data)

The response is binary array for image of the report,
in order to see the image:

from PIL import Image

from io import BytesIO

stream = BytesIO(x.content)

image = Image.open(stream).convert(\"RGBA\")

stream.close()

image.show()

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