src/experiments/algorithms/colour_FE.py

@@ -4,12 +4,22 @@ from cv2.mat_wrapper import Mat as Mat
 import os
 import numpy as np
 import csv
-from ...helpers.treenum import Tree
+from enum import Enum
 
 CSV_PATH = "src\\experiments\\algorithms\\data\\"
 IMG_PATH = "dataset\\accasia_1210048 (2023_09_28 12_19_26 UTC).JPG"
 BARK_TYPES = 8
 
+class Tree(Enum):
+    ACCASIA = 0
+    BERK = 1
+    EIK = 2
+    ELS = 3
+    ESDOORN = 4
+    ES = 5
+    LINDE = 6
+    PLATAAN = 7
+
 class ColourSpace(Enum):
     BGR = 0
     HSV = 1

src/helpers/treenum.py

@@ -1,11 +0,0 @@
-from enum import Enum
-
-class Tree(Enum):
-    ACCASIA = 0
-    BERK = 1
-    EIK = 2
-    ELS = 3
-    ESDOORN = 4
-    ES = 5
-    LINDE = 6
-    PLATAAN = 7

src/suite.py

@@ -388,7 +388,7 @@ class MainApp:
             # Import and resize image
             # img = cv2.imread(images[self.img_current])
             img = cv2.imread(os.path.join(self.img_path.get(), self.img_name))
-            # img = cv2.resize(img, (size, size), interpolation=cv2.INTER_AREA)
+            img = cv2.resize(img, (size, size), interpolation=cv2.INTER_AREA)
             self.addOutput(img, "Original")
 
             # Set grayscale
@@ -468,6 +468,7 @@ class MainApp:
             plt.show(block=False)  ## Graphs
             self.drawOutput(size)  ## Images
 
+
 if __name__ == "__main__":
     app = MainApp()
     app.run()