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Praneet Praneet9 Blackstraw.ai Mumbai https://praneet.me/ Data Scientist

Praneet9/Docify 22

A service for extracting text from ID cards in India, like Aadhar Card, PAN Card and Driving Licence. You just need to click and send a picture of the card to the API and get a json with your details. It was built using Flask, Deep Learning and Image Processing. It also uses Connectionist Text Proposal Network (Open Source) along with Tesseract for text extraction.

Chanakya-School-of-AI/pytorch-tutorials 2

This repository has various tutorial codes in pytorch

Praneet9/BlogApp 1

A blog web-app to post blog posts built using Flask as well as Django.

Praneet9/Advanced-Farming 0

Touchless UI for farmers having problem reading and understanding. Everything can be accessed with voice input.

Praneet9/College 0

All the college stuff

Praneet9/CommercialDetection 0

GSOC 2015 project for Red Hen Labs

Praneet9/ConvNet_in_Numpy 0

Implementation of ConvNet/CNN in Numpy from scratch.

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issue commentPraneet9/Representation-Learning-for-Information-Extraction

STEP 3: Extract Candidates.py

You will have to modify the script for your classes. We have already implemented it for Invoice numbers, Amounts and Dates. In case you have any other, you will have to write your own.

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intro to pytorch, opencv, pillow

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Open Source Computer Vision Library

https://opencv.org

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issue commentPraneet9/Representation-Learning-for-Information-Extraction

Inference.py

  1. It needs to be cached_data_train.pickle
  2. You need to pass in masks=None for it as it is used for self-attention. It's an optional arg, so you can pass in None there and it should work
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Digit Recognition trained using SVHN Dataset in Pytorch

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