tessdata VS authelia

Appears to be a nice wrapper around Tesseract:

https://github.com/tesseract-ocr/tessdata

https://en.wikipedia.org/wiki/Tesseract_(software)

The demo of course works perfectly on a Mac as this is already built into Ventura.

  In November 2020, Brewster Kahle from the Internet Archive praised Tesseract saying:

The language packas are available at: https://github.com/tesseract-ocr/tessdata

Then you could try different engines. --oem 0 disables the shiny new neural network stuff and uses the classic Tesseract engine; --oem 1 does the opposite. Try both, see which works best in terms of performance and accuracy for your particular use-case. You'll need to have training data for the legacy engine, though. These would work, or you could try tessdata_fast, which is specifically built for speed.

Go to the GitHub repo and get the trained data of your desired language --> https://github.com/tesseract-ocr/tessdata

Capture2Text uses Google's Tesseract to perform OCR, so the accuracy when detecting foreign languages depends on the quality of the data files. Ones provided by Tesseract itself can be found here.

PGS graphical subtitle rendering is not supported in web browser. But we can convert it into text subtitle by using ML assisted OCR. https://github.com/tesseract-ocr/tessdata

FROM ubuntu:18.04 RUN apt-get update RUN apt-get -y install curl RUN apt-get -y install wget unzip RUN mkdir tess5 RUN cd tess5 RUN wget https://github.com/tesseract-ocr/tesseract/archive/refs/tags/5.0.0-alpha-20210401.zip RUN unzip 5.0.0-alpha-20210401.zip RUN rm 5.0.0-alpha-20210401.zip WORKDIR /tesseract-5.0.0-alpha-20210401 RUN apt-get -y install autoconf automake libtool pkg-config libpng-dev libjpeg8-dev libtiff5-dev g++ # or clang++ (presumably) RUN apt-get install zlib1g-dev RUN apt-get -y install libleptonica-dev RUN ./autogen.sh RUN ./configure --enable-debug RUN LDFLAGS="-L/usr/local/lib" CFLAGS="-I/usr/local/include" make RUN make install RUN ldconfig WORKDIR /usr/local/share/tessdata RUN wget https://github.com/tesseract-ocr/tessdata/raw/master/eng.traineddata ENV TESSDATA_PREFIX=/usr/local/share/tessdata/

You'll also need to go and get the trained language data from here: https://github.com/tesseract-ocr/tessdata/blob/master/eng.traineddata

The code looks fine, I think for whatever reason the 'MathEquations' network just does a poor job of recognizing the equations. The support package that includes the language is based on this open-source tessaract repo which seems to struggle with math equation recognition (at least based on this issue).

It's me and two others though I'm definitely the most active. We put a lot of effort into security best practices and one of my co-developers is currently reviewing the 4.38.0 release. It's a fairly major release with a lot of important code paths that have been improved for the future.

Our official docs can be found at https://www.authelia.com and you can find docs for a particular PR in the relevant PR. We've also linked the pre-release docs in the pre-release discussions which can be found here: https://github.com/authelia/authelia/discussions/categories/...

I use NGINX proxy with Authelia in between. Authelia blocks and blacklists faulty logins.

https://github.com/saltstack/salt https://github.com/chocolatey/choco https://github.com/nextcloud https://github.com/authelia/authelia https://github.com/grafana/grafana

If you are using HAProxy on PfSense/OPNSense, see my issue https://github.com/authelia/authelia/issues/2696

https://github.com/lldap/lldap is a very simple and lightweight LDAP solution. Works flawless with https://www.authelia.com/

Ah yeah, so I guess it's been a while since I tried and I forgot where I got stuck last time. Authelia's config.yml is absolutely massive and I'm not sure which section of their guide I should be following. In The Docker Compose section, there's "Unbundled", "Lite", and "Local". I think I want to be running the "lite" bundle, but their example compose file has a ton of Traefik stuff in it. I know I wouldn't keep the Traefik services, but do I need either secure or public?

Authelia supports SSO. If you are behind a reverse proxy it’s quite straightforward to integrate.

This should probably also be mentioned in the documentation so maybe consider mentioning this on their discussion page.