From 0b3d07a4c43cc3370dfe1d1be9436cff6434c671 Mon Sep 17 00:00:00 2001 From: Robert Sachunsky Date: Thu, 13 Apr 2023 10:50:06 +0200 Subject: [PATCH] add badges --- README.md | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index c150683..677d3c4 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,10 @@ > Binarization for document images +[![pip release](https://img.shields.io/pypi/v/sbb-binarization.svg)](https://pypi.org/project/sbb-binarization/) +[![CircleCI test](https://circleci.com/gh/qurator-spk/sbb_binarization.svg?style=svg)](https://circleci.com/gh/qurator-spk/sbb_binarization) +[![GHAction test](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml/badge.svg)](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml) + ## Examples @@ -22,9 +26,10 @@ Pre-trained models in HDF5 format can be downloaded from here: https://qurator-data.de/sbb_binarization/ -We also provide a Tensorflow `saved_model` via Huggingface: +We also provide models in Tensorflow SavedModel format via Huggingface and Github release assets: https://huggingface.co/SBB/sbb_binarization +https://github.com/qurator-spk/sbb_binarization/releases With [OCR-D](https://ocr-d.de/), you can use the [Resource Manager](Tensorflow SavedModel) to deploy models, e.g. @@ -59,7 +64,7 @@ For simple smoke tests, the following will - download models - download test data - run the OCR-D wrapper (on page and region level): - - - make model - make test + + make model + make test + \ No newline at end of file