add badges

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
 
 <img src="https://user-images.githubusercontent.com/952378/63592437-e433e400-c5b1-11e9-9c2d-889c6e93d748.jpg" width="180"><img src="https://user-images.githubusercontent.com/952378/63592435-e433e400-c5b1-11e9-88e4-3e441b61fa67.jpg" width="180"><img src="https://user-images.githubusercontent.com/952378/63592440-e4cc7a80-c5b1-11e9-8964-2cd1b22c87be.jpg" width="220"><img src="https://user-images.githubusercontent.com/952378/63592438-e4cc7a80-c5b1-11e9-86dc-a9e9f8555422.jpg" width="220">
@@ -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.
 
@@ -60,6 +65,6 @@ For simple smoke tests, the following will
 - download test data
 - run the OCR-D wrapper (on page and region level):
     
+        make model
+        make test
     
-    make model
-    make test