Git Product home page Git Product logo

Comments (2)

schadem avatar schadem commented on May 29, 2024

Assuming that in your example Amazon Textract identified the following selection elements as key/value pairs:

male - Not Selected
female - Not Selected
male - Not Selected
female - Not Selected

You can go by geometry information from the keys and values to get the context.
Example how to get the geometry from the Textract Response Parser (https://github.com/aws-samples/amazon-textract-response-parser):

for page in doc.pages: for field in page.form.fields: t = f"key: {field.key.text}({field.key.geometry.boundingBox}): {geo: field.value.text} (geo: {field.value.geometry.boundingBox})" print(f"{t}")

The geometry information allows you to identify which male|female belongs to which context by looking at the position relative to each other.

Hope this helps to unblock you.

from amazon-textract-textractor.

schadem avatar schadem commented on May 29, 2024

Check out the geofinder, which helps with identifying context.

from amazon-textract-textractor.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.