begin documenting the project, README

reverse_engineering/img_v1.py

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+from math import ceil
+import os
+from PIL import Image
+import glob
+
+WIDTH = 256
+OFFSET = 9
+
+os.makedirs("dataImg", exist_ok=True)
+
+for data_file in glob.glob("data/data*.txt"):
+    with open(data_file, "r") as f:
+        data = f.read().replace('\n', '')
+
+    bytes_array = [int(data[i:i+2], 16) for i in range(0, len(data), 2)]
+
+    HEIGHT = 1 + ceil((len(bytes_array)-OFFSET)/WIDTH)
+    IMG_WIDTH = max(WIDTH, OFFSET)
+
+    def getColor(value):
+        return (value, value, value)
+
+
+    img = Image.new("RGB", (IMG_WIDTH, HEIGHT))
+    for i in range(0, IMG_WIDTH):
+        if i < OFFSET:
+            img.putpixel((i, 0), getColor(bytes_array[i]))
+        else:
+            img.putpixel((i, 0), (255, 0, 255))
+    for i in range(1, HEIGHT):
+        for j in range(0, IMG_WIDTH):
+            if j >= WIDTH:
+                img.putpixel((j, i), (255, 0, 255))
+                continue
+
+            idx = OFFSET + (i - 1) * WIDTH + j
+            if idx < len(bytes_array):
+                img.putpixel((j, i), getColor(bytes_array[idx]))
+            else:
+                img.putpixel((j, i), (255, 0, 255))
+    base = data_file.split('\\')[-1].split('.')[0]  # Get base name without extension
+    output_file = f"dataImg/{base}.png"
+    img.save(output_file)