minors fixies over requiriments and CTC model example on OCR notebook

Now TF2 is suported
* OCR example got similar result as in the previous version [issue#145](Breta01#145 (comment))
* Removed old garbage code used for debug
* add tf1 compat for tf2 on tfhelpers (forgoted)

environment.yml

@@ -76,7 +76,7 @@ ncurses=6.1
 notebook=5.7.1
 numpy=1.15.4
 numpy-base=1.15.4
-opencv=3.4.2
+opencv=4.6.0
 openssl=1.0.2p
 pandas
 pandoc=2.2.3.2
@@ -109,7 +109,7 @@ sip=4.19.8
 six=1.11.0
 sqlite=3.25.3
 tensorboard=1.12.0
-tensorflow=1.12.0
+tensorflow=2.9.1
 tensorflow-base=1.12.0
 termcolor=1.1.0
 terminado=0.8.1

src/ocr/normalization.py

@@ -20,10 +20,9 @@ def image_standardization(image):
 def _crop_add_border(img, height, threshold=50, border=True, border_size=15):
     """Crop and add border to word image of letter segmentation."""
     # Clear small values
-    try:
-        ret, img = cv2.threshold(img, threshold, 255, cv2.THRESH_TOZERO)
-    except:
-        import pdb;pdb.set_trace()
+
+    ret, img = cv2.threshold(img, threshold, 255, cv2.THRESH_TOZERO)
+
     x0 = 0
     y0 = 0
     x1 = img.shape[1]

src/ocr/tfhelpers.py

@@ -4,7 +4,8 @@
 Model       = Class for loading and using trained models from tensorflow
 create_cell = function for creatting RNN cells with wrappers
 """
-import tensorflow as tf
+#import tensorflow as tf
+import tensorflow.compat.v1 as tf
 from tensorflow.python.ops.rnn_cell_impl import LSTMCell, ResidualWrapper, DropoutWrapper, MultiRNNCell
 
 class Model():