From df8e7bfb33bcf2803a01ea15b2f7a77d692ddb43 Mon Sep 17 00:00:00 2001
From: Clemens Neudecker <952378+cneud@users.noreply.github.com>
Date: Mon, 25 Apr 2022 11:53:45 +0200
Subject: [PATCH 1/5] Update requirements.txt

---
 requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index 85fd500..ae049b4 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,4 +4,4 @@ opencv-python-headless
 ocrd >= 2.22.3
 keras >= 2.3.1, < 2.4
 h5py < 3
-tensorflow-gpu >= 1.15, < 1.16
+tensorflow-gpu >= 2.4.0

From 1a4207c61489d7b152d165b7ec71c00b899a8390 Mon Sep 17 00:00:00 2001
From: Clemens Neudecker <952378+cneud@users.noreply.github.com>
Date: Mon, 25 Apr 2022 11:55:06 +0200
Subject: [PATCH 2/5] relax numpy version requirement

---
 requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index ae049b4..fd9e455 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,4 @@
-numpy >= 1.17.0, < 1.19.0
+numpy
 setuptools >= 41
 opencv-python-headless
 ocrd >= 2.22.3

From b7aeb1ae8bf63e1080a2361f1d80d2039214ed13 Mon Sep 17 00:00:00 2001
From: cneud <clemens.neudecker@gmail.com>
Date: Mon, 25 Apr 2022 14:27:39 +0200
Subject: [PATCH 3/5] use tensorflow Keras backend

---
 sbb_binarize/sbb_binarize.py | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/sbb_binarize/sbb_binarize.py b/sbb_binarize/sbb_binarize.py
index 8d3a741..6574e66 100644
--- a/sbb_binarize/sbb_binarize.py
+++ b/sbb_binarize/sbb_binarize.py
@@ -14,10 +14,11 @@ import cv2
 environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
 stderr = sys.stderr
 sys.stderr = open(devnull, 'w')
-from keras.models import load_model
-from keras.backend import tensorflow_backend
-sys.stderr = stderr
 import tensorflow as tf
+from tensorflow.keras.models import load_model, Model
+from tensorflow.python.keras import backend as K
+sys.stderr = stderr
+
 
 import logging
 
@@ -43,10 +44,10 @@ class SbbBinarizer:
         config.gpu_options.allow_growth = True
 
         self.session = tf.compat.v1.Session(config=config)  # tf.InteractiveSession()
-        tensorflow_backend.set_session(self.session)
+        K.set_session(self.session)
 
     def end_session(self):
-        tensorflow_backend.clear_session()
+        K.clear_session()
         self.session.close()
         del self.session
 
@@ -58,7 +59,7 @@ class SbbBinarizer:
         return model, model_height, model_width, n_classes
 
     def predict(self, model_in, img, use_patches):
-        tensorflow_backend.set_session(self.session)
+        K.set_session(self.session)
         model, model_height, model_width, n_classes = model_in
         
         img_org_h = img.shape[0]

From 83c60d7b26bc17251fcc0168c9b232b8e10d847d Mon Sep 17 00:00:00 2001
From: Clemens Neudecker <952378+cneud@users.noreply.github.com>
Date: Mon, 25 Apr 2022 15:10:08 +0200
Subject: [PATCH 4/5] cleanup

---
 sbb_binarize/sbb_binarize.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/sbb_binarize/sbb_binarize.py b/sbb_binarize/sbb_binarize.py
index 6574e66..5424098 100644
--- a/sbb_binarize/sbb_binarize.py
+++ b/sbb_binarize/sbb_binarize.py
@@ -15,8 +15,8 @@ environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
 stderr = sys.stderr
 sys.stderr = open(devnull, 'w')
 import tensorflow as tf
-from tensorflow.keras.models import load_model, Model
-from tensorflow.python.keras import backend as K
+from tensorflow.keras.models import load_model
+from tensorflow.python.keras import backend as tensorflow_backend
 sys.stderr = stderr
 
 
@@ -44,10 +44,10 @@ class SbbBinarizer:
         config.gpu_options.allow_growth = True
 
         self.session = tf.compat.v1.Session(config=config)  # tf.InteractiveSession()
-        K.set_session(self.session)
+        tensorflow_backend.set_session(self.session)
 
     def end_session(self):
-        K.clear_session()
+        tensorflow_backend.clear_session()
         self.session.close()
         del self.session
 
@@ -59,7 +59,7 @@ class SbbBinarizer:
         return model, model_height, model_width, n_classes
 
     def predict(self, model_in, img, use_patches):
-        K.set_session(self.session)
+        tensorflow_backend.set_session(self.session)
         model, model_height, model_width, n_classes = model_in
         
         img_org_h = img.shape[0]

From 2d4ce8f706970a03301d31bb93e8a841ac1b3150 Mon Sep 17 00:00:00 2001
From: Clemens Neudecker <952378+cneud@users.noreply.github.com>
Date: Mon, 25 Apr 2022 15:21:43 +0200
Subject: [PATCH 5/5] don't require Keras explicitely

---
 requirements.txt | 1 -
 1 file changed, 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index fd9e455..9d7d67f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,6 +2,5 @@ numpy
 setuptools >= 41
 opencv-python-headless
 ocrd >= 2.22.3
-keras >= 2.3.1, < 2.4
 h5py < 3
 tensorflow-gpu >= 2.4.0