Merge pull request #113 from qurator-spk/tf_<2.12.0

introduce (temporary) upper bounds for tensorflow and numpy version

README.md

@@ -19,9 +19,9 @@
 * [OCR-D](https://github.com/qurator-spk/eynollah#use-as-ocr-d-processor) interface
 
 ## Installation
-Python versions `3.7-3.10` with Tensorflow `>=2.4` are currently supported.
+Python versions `3.7-3.10` with Tensorflow versions `2.4-2.11` are currently supported. 
 
-For (limited) GPU support the [matching](https://www.tensorflow.org/install/source#gpu) CUDA toolkit `>=10.1` needs to be installed.
+For (limited) GPU support the [matching](https://www.tensorflow.org/install/source#gpu) CUDA toolkit needs to be installed.
 
 You can either install via 
 

qurator/eynollah/eynollah.py

@@ -29,7 +29,7 @@ warnings.filterwarnings("ignore")
 from scipy.signal import find_peaks
 import matplotlib.pyplot as plt
 from scipy.ndimage import gaussian_filter1d
-from keras.backend import set_session
+from tensorflow.python.keras.backend import set_session
 from tensorflow.keras import layers
 
 from .utils.contour import (

requirements.txt

@@ -1,7 +1,8 @@
 # ocrd includes opencv, numpy, shapely, click
 ocrd >= 2.23.3
+numpy <1.24.0
 scikit-learn >= 0.23.2
-tensorflow >= 2.4.0
+tensorflow >= 2.4.0, <2.12.0
 imutils >= 0.5.3
 matplotlib
 setuptools >= 50