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paraphrase-any-question-with-t5-text-to-text-transfer-transformer-

Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided

patternsearching

Find a pattern in a image using Distance/Similarity searching. For the project we use the `game` "Where is Waldo"

pdf-to-csv-table-extactor

Extract tables from scanned documents pdf into csv file using ocr and image processing

pdfpigsvmregionclassifier

Proof of concept of a simple SVM Region Classifier using PdfPig and Accord.Net. The objective is to classify each text block in a pdf document page as either title, text, list, table and image.

sbd_adjudicatory_dec

smart_testr

Smart Testr 0.0.0.1

spacextract

Extraction and analysis of telemetry from rocket launch webcasts (from SpaceX and RocketLab)

spade

tabeximg

Python Project for Scanned Table Extraction from PDFs

table-parser-opencv

Extract tables from images or PDFs and convert them to Excel files

table-reading-understanding-in-documents-images

Tables and forms are a very common way to organize information in structured documents. Their recognition is fundamental for the recognition of the documents. Indeed, the physical organization of a table or a form gives a lot of information concerning the logical meaning of the content. The requirement of detection and identification of tables from document images is crucial as tables contain important information, and also most of the layout analysis methods fail in the presence of tables in the document image. To build a solution that can detect tables and its layout in a given documents, then make sense of the information they present. Tables present in documents are often used to compactly communicate important information in rows and columns. To automatically extract this information by digitization of paper documents, the tabular structures need to be identified and the layout and inter-relationship between the table elements need to be reserved for subsequent analysis.

table-structure

Cleaned research code for predicting table structure from an image.

tesseractmrz

Ready-to-use MRZ (Machine-readable zone) dataset and models for tesseract v4

ub-04-form-revenue-calculator