diff --git a/Processor.py b/Processor.py
new file mode 100644
index 0000000..68d6f8c
--- /dev/null
+++ b/Processor.py
@@ -0,0 +1,63 @@
+import os
+import shutil
+from PIL import Image
+import PIL
+import numpy as np
+
+VERBATIM = 'layer557520895'
+SIMPLIFIED = 'layer1631262591'
+CLEARED = 'layer1630738239'
+LOOT_ONLY = 'layer1073741888'
+ENEMIES_ONLY = 'layer1074266112'
+
+def downscale(image: PIL.Image):
+    new_width = image.width // 2
+    new_height = image.height // 2
+    return image.resize((new_width, new_height), Image.BOX)
+
+def difference(a, b, treshold=0.5):
+    a = np.array(a).astype(np.float32)
+    b = np.array(b).astype(np.float32)
+    c = np.sum(np.abs(a - b), axis=2) > treshold
+    return c
+
+def blue_screen_mask(image: PIL.Image):
+    image = np.array(image).astype(np.float32)
+    image[:,:,2] = -image[:,:,2] + 255
+    mask = np.sum(image, axis=2) > 2.5
+    # Image.fromarray(mask.astype(np.uint8) * 255, mode='L').show()
+    return mask
+
+def create_mask(differences_spotted, only):
+    potential = blue_screen_mask(only)
+    mask = np.logical_and(potential, differences_spotted)
+    return np.sum(np.sum(mask)), Image.fromarray(mask.astype(np.uint8) * 255, mode='L')
+
+
+if __name__ == '__main__':
+    for ddir in ['masks_loot', 'masks_enemies', 'fullres', 'downscaled']:
+        os.makedirs(f'data/{ddir}', exist_ok=True)
+    names_all = os.listdir('data/new')
+    name_stubs = set()
+    for n in names_all:
+        name_stubs.add('_'.join(n.split('_')[:2]))
+    name_stubs = sorted(list(name_stubs))
+
+    for n in name_stubs:
+        if os.path.exists(f'data/masks_enemies/{n}.png'):
+            continue
+
+        shutil.copy(f'data/new/{n}_{VERBATIM}.png', f'data/fullres/{n}.png')
+        with Image.open(f'data/new/{n}_{VERBATIM}.png') as im:
+            downscale(im).save(f'data/downscaled/{n}.png')
+
+        with Image.open(f'data/new/{n}_{SIMPLIFIED}.png') as simplified:
+            with Image.open(f'data/new/{n}_{LOOT_ONLY}.png') as loot_only:
+                with Image.open(f'data/new/{n}_{ENEMIES_ONLY}.png') as enemies_only:
+                    with Image.open(f'data/new/{n}_{CLEARED}.png') as cleared:
+                        differences_spotted = difference(simplified, cleared)
+                        pl, il = create_mask(differences_spotted, loot_only)
+                        il.save(f"data/masks_loot/{n}.png")
+                        pe, ie = create_mask(differences_spotted, enemies_only)
+                        ie.save(f"data/masks_enemies/{n}.png")
+                        print(n, pl, pe)