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LICENSE

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+            DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
+                    Version 2, December 2004
+
+ Copyright (C) 2004 Sam Hocevar <sam@hocevar.net>
+
+ Everyone is permitted to copy and distribute verbatim or modified
+ copies of this license document, and changing it is allowed as long
+ as the name is changed.
+
+            DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
+   TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION
+
+  0. You just DO WHAT THE FUCK YOU WANT TO.

README.md

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+# SDDT-plates-decrypter
+
+## Usage
+
+Place the `.exe` file under the `.png` file that needs to be decrypted and open it, the program will do everything.
+
+## Build
+
+Run `pyinstaller decrypter.py -i "icon.ico" --onefile`, the executable file will compiled in the `dist` folder.

decrypter.py

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+import fnmatch
+import io
+import os
+import cv2
+import numpy as np
+
+i = 0
+
+os.makedirs("Plates", exist_ok=True)
+os.makedirs("Plates/Original", exist_ok=True)
+os.makedirs("Plates/Alpha", exist_ok=True)
+os.makedirs("Plates/Split", exist_ok=True)
+
+for filename in os.listdir(os.getcwd()):
+    if fnmatch.fnmatch(filename, f"UI_UserPlate_*.png"):
+        print(f"{filename}...", end="")
+
+        image = cv2.imread(filename)
+
+        b, g, r = cv2.split(image)
+
+        # 原通道的 Grean 是 Y 通道
+        y = g
+
+        # 原通道的 Blue 左半边是 U 通道，右半边是 V 通道
+        # 拉伸处理过后的 UV 通道图片
+        # cv2.resize(img[x:h, y:w], (w, h))
+        u = cv2.resize(b[0:296, 0:540], (1080, 296))
+        v = cv2.resize(b[0:296, 540:1080], (1080, 296))
+
+        # https://stackoverflow.com/questions/60729170/python-opencv-converting-planar-yuv-420-image-to-rgb-yuv-array-format
+        # 开一个基于内存的比特流
+        f = io.BytesIO()
+
+        # 把 YUV 通道的图片写入比特流
+        f.write(y.tobytes())
+        f.write(u.tobytes())
+        f.write(v.tobytes())
+
+        # 回到内存的第 0 个索引（回到开头）
+        f.seek(0)
+
+        # 读取 YUV 通道并重写为相同长宽的 numpy 数组（行列式）
+        y = np.frombuffer(f.read(y.size), dtype=np.uint8).reshape((y.shape[0], y.shape[1]))  # Read Y color channel and reshape to height x width numpy array
+        u = np.frombuffer(f.read(y.size), dtype=np.uint8).reshape((y.shape[0], y.shape[1]))  # Read U color channel and reshape to height x width numpy array
+        v = np.frombuffer(f.read(y.size), dtype=np.uint8).reshape((y.shape[0], y.shape[1]))  # Read V color channel and reshape to height x width numpy array
+
+        yvu = cv2.merge((y, v, u))
+
+        # YUV 转 BGR
+        bgr = cv2.cvtColor(yvu, cv2.COLOR_YCrCb2BGR)
+
+        # BGR 转 BGRA
+        bgra = cv2.cvtColor(bgr, cv2.COLOR_BGR2BGRA)
+
+        # 给丫 Alpha 通道干进去
+        bgra[:, :, 3] = r
+
+        filename = filename.replace(".png", "")
+        cv2.imwrite(f"./Plates/Original/{filename}.png", bgr)
+        cv2.imwrite(f"./Plates/Alpha/{filename}.png", bgra)
+        cv2.imwrite(f"./Plates/Split/{filename}_Upper.png", bgra[:168, :])
+        cv2.imwrite(f"./Plates/Split/{filename}_Lower.png", bgra[168:, :])
+
+        i += 1
+
+        print("Done")
+
+if i != 0:
+    print(f"{i} plates processed.")
+else:
+    print(f"Can't find any plates. Make sure you have placed exe file in the directory where you need to decrypt plates.")
+
+os.system('pause')

requirements.txt

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+
+numpy==1.21.4
+opencv-python==4.5.5.64
+pyinstaller==4.10