Initial (and hopefully last) commit

convert_from_big_dataset.py

@@ -0,0 +1,29 @@
+import os
+from PIL import Image
+import numpy as np
+
+directory = "/home/mia/Schule/KISY/schrifterkennung/out"
+
+files = os.listdir(f"{directory}/BigDataSet")
+print(files)
+labels = []
+images = []
+for letter in files:
+    dir = f"{directory}/BigDataSet/{letter}"
+    i = 0
+    os.makedirs(f"{directory}/Scaled/{letter}/", exist_ok=True)
+    for image in os.listdir(dir)[:]:
+        print(image)
+        img = Image.open(os.path.join(dir, image))
+        res = img.resize((32,32))
+        res = res.convert("L")
+        images.append(res)
+        labels.append(letter)  # Label ist der Ordnername
+        res.save(f"{directory}/Scaled/{letter}/miakieler_{i}.png")
+        i += 1
+
+X = np.array(images)
+Y = np.array(labels)
+
+np.save('images_big.npy', X)
+np.save('labels_big.npy', Y)