Fix augmentations

src/data/augmentation.py

@@ -68,7 +68,8 @@ def save_augment_steps_plot(aug_model: tf.keras.Sequential,
 
     # Calculate histogram for the original image
     histograms = []
-    original_hist = tf.histogram_fixed_width(sample_image[0], [0.0, 1.0], nbins=256)
+    original_hist = tf.histogram_fixed_width(
+        sample_image[0], [0.0, 1.0], nbins=256)
     histograms.append(original_hist)
 
     # Apply each augmentation layer to the image
@@ -81,7 +82,8 @@ def save_augment_steps_plot(aug_model: tf.keras.Sequential,
                                                             dtype=tf.float32)
 
         # Calculate histogram for the augmented image
-        hist = tf.histogram_fixed_width(sample_image_float32, [0.0, 1.0], nbins=256)
+        hist = tf.histogram_fixed_width(
+            sample_image_float32, [0.0, 1.0], nbins=256)
         histograms.append(hist)
 
     # Plot the original and each augmentation step
@@ -186,24 +188,23 @@ def get_augment_selection(config: Config, channels: int) -> list:
     """
 
     augment_selection = []
-    binarize_present = True if config["do_binarize_sauvola"] or \
-        config["do_binarize_otsu"] else False
+    binarize_present = True if config["aug_binarize_sauvola"] or \
+        config["aug_binarize_otsu"] else False
 
-    if config["distort_jpeg"]:
-        logging.info("Selected data augment: distort_jpeg")
+    if config["aug_distort_jpeg"]:
+        logging.info("Selected data augment: JPEG distortion")
         augment_selection.append(DistortImageLayer())
 
-    if config["elastic_transform"]:
-        logging.info("Selected data augment: elastic_transform")
-        augment_selection.append(
-            ElasticTransformLayer(binary=binarize_present))
+    if config["aug_elastic_transform"]:
+        logging.info("Selected data augment: elastic transform")
+        augment_selection.append(ElasticTransformLayer())
 
-    if config["random_crop"]:
-        logging.info("Selected data augment: random_crop")
+    if config["aug_random_crop"]:
+        logging.info("Selected data augment: random vertical crop")
         augment_selection.append(RandomVerticalCropLayer())
 
-    if config["random_width"]:
-        logging.info("Selected data augment: random_width")
+    if config["aug_random_width"]:
+        logging.info("Selected data augment: random width")
         augment_selection.append(RandomWidthLayer(binary=binarize_present))
 
     # For some reason, the original adds a 50px pad to the width here
@@ -212,32 +213,32 @@ def get_augment_selection(config: Config, channels: int) -> list:
                                                 binary=binarize_present,
                                                 name="extra_resize_with_pad"))
 
-    if config["do_random_shear"]:
+    if config["aug_random_shear"]:
         # Apply padding to make sure that shear does not cut off img
         augment_selection.append(ResizeWithPadLayer(target_height=64,
                                                     additional_width=64,
                                                     binary=binarize_present))
 
-        logging.info("Selected data augment: shear_x")
+        logging.info("Selected data augment: random shear along x-axis")
         augment_selection.append(ShearXLayer(binary=binarize_present))
 
-    if config["do_binarize_sauvola"]:
-        logging.info("Selected data augment: binarize_sauvola")
+    if config["aug_binarize_sauvola"]:
+        logging.info("Selected data augment: Sauvola binarization")
         augment_selection.append(BinarizeLayer(method='sauvola',
                                                channels=channels,
                                                window_size=51))
 
-    if config["do_binarize_otsu"]:
-        logging.info("Selected data augment: binarize_otsu")
+    if config["aug_binarize_otsu"]:
+        logging.info("Selected data augment: Otsu binarization")
         augment_selection.append(BinarizeLayer(method="otsu",
                                                channels=channels))
 
-    if config["do_blur"]:
-        logging.info("Selected data augment: blur_image")
+    if config["aug_blur"]:
+        logging.info("Selected data augment: image blur")
         augment_selection.append(BlurImageLayer())
 
-    if config["do_invert"]:
-        logging.info("Selected data augment: aug_invert")
+    if config["aug_invert"]:
+        logging.info("Selected data augment: invert image")
         augment_selection.append(InvertImageLayer(channels=channels))
 
     return augment_selection