Posts with the "images" tag
Tesseract 4 is here! State of the art OCR in R!
November 6, 2018
Last week Google and friends released the new major version of their OCR system: Tesseract 4. This release builds upon 2+ years of hard work and has completely overhauled the internal OCR engine. From the tesseract wiki:
Tesseract 4.0 includes a new neural network-based recognition engine that delivers significantly higher accuracy (on document images) than the previous versions, in return for a significant increase in required compute power. On complex languages however, it may actually be faster than base Tesseract.
Community Call - Working with images in R
October 24, 2018
rOpenSci’s software engineer / postdoc Jeroen Ooms will explain what images are, under the hood, and showcase several rOpenSci packages that form a modern toolkit for working with images in R, including opencv, av, tesseract, magick and pdftools.
🕘 Thursday, November 15, 2018, 10-11AM PST; 7-8PM CET (find your timezone)
☎️ Find all details for joining the call on our Community Calls page. Everyone is welcome. No RSVP needed.
Support for hOCR and Tesseract 4 in R
February 14, 2018
Earlier this month we released a new version of the tesseract package to CRAN. This package provides R bindings to Google’s open source optical character recognition (OCR) engine Tesseract.
Two major new features are support for HOCR and support for the upcoming Tesseract 4.
hOCR output Support for HOCR output was requested by one of our users on Github. The ocr() function gains a parameter HOCR which allows for returning results in hOCR format:
Magick 1.6: clipping, geometries, fonts, fuzz, and a bit of history
December 5, 2017
This week magick 1.6 appeared on CRAN. This release is a big all-round maintenance update with lots of tweaks and improvements across the package.
The NEWS file gives an overview of changes in this version. In this post we highlight some changes.
library(magick) stopifnot(packageVersion('magick') >= 1.6) If you are new to magick, check out the vignette for a quick introduction.
Perfect Graphics Rendering I have fixed a few small rendering imperfections in the graphics device.
Using Magick with RMarkdown and Shiny
November 7, 2017
This week magick 1.5 appeared on CRAN. The latest update adds support for using images in knitr documents and shiny apps. In this post we show how this nicely ties together a reproducible image workflow in R, from source image or plot directly into your report or application.
library(magick) stopifnot(packageVersion('magick') >= 1.5) Also the magick intro vignette has been updated in this version to cover the latest features available in the package.