2. FieldVision API

FieldVision API

API for processing text on invoices, with the aim of identifying relevant fields on an invoice and optimizing bonus or validation systems. Making life easier for logisticians, merchants and managers, the application has an interface that captures images from the webcam, processes the image using OCR and provides a visualization of the results obtained.

Follow the steps bellow to install the FieldVision API:

# Clone repository
git clone https://github.com/brain-facens/FieldVision-AI.git

# Install requirements
cd FieldVision-AI/
pip install -r requirements.txt

# Run API
python src/field_vision_API/main.py

API Methods

Below are the methods present in the FieldVision API and their respective functions.

API Call	Action
GET /	Home path
GET /v1/result/	Get the filtered result
GET /v1/raw_result/	Get the latest raw result
GET /v1/filter/	Get the latest word filter
POST /v1/post_image/	Upload image
PUT /v1/filter/	Update the filter

Example Request Scripts

Below are the scripts that make it possible to request the methods present in the API.

GET methods:

import pytest
import requests

def test_api_call_root(url = <API_url>):
    response = requests.get(url)
    return response

---

PUT methods:

import pytest
import requests

def test_api_put_result(url = <API_url>):
    payload={
        "filter": [
            "total"
        ]
    }

    response = requests.put(url, json=payload)
   return response

---

POST methods:

import pytest
import requests

def test_api_put_result(url = <API_url>):
    payload={
        "filter": [
            "total"
        ]
    }

    response = requests.put(url, json=payload)
    return response