feat: 添加用于快速适配新主界面主题的小工具

tools/GetImageFromROI/main.py

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+import cv2
+import json
+from pathlib import Path
+
+'''
+This is a tool for cropping one image into several images based on current roi.
+Use this tool when a raw image contains many templates.
+For example, when adding a new homepage theme.
+Put one picture in ./src and add the template's tasks to 'task_list',
+This tools will try to read roi (if not 'roi_crop_doc') from tasks in tasks.json and then crop the image.
+'''
+
+std_width: int = 1280
+std_height: int = 720
+std_ratio = std_width / std_height
+
+task_paths = {
+    "CN": Path("../../resource/tasks.json"),
+    "twxy": Path("../../resource/global/txwy/resource/tasks.json"),
+    "YoStarEN": Path("../../resource/global/YoStarEN/resource/tasks.json"),
+    "YoStarJP": Path("../../resource/global/YoStarJP/resource/tasks.json"),
+    "YoStarKR": Path("../../resource/global/YoStarKR/resource/tasks.json"),
+}
+
+# Change this to your client
+task_file = task_paths["CN"]
+
+# Add the tasks you want to get its image
+task_list = []
+# You should get these names from tasks.json
+#
+# For example, when adding a new homepage theme:
+task_list = [
+    "Award",
+    "GachaEnter",
+    "Home",
+    "Infrast",
+    "OperBoxEnter",
+    "Recruit",
+    "Visit"
+]
+
+with task_file.open("r", encoding="utf-8") as f:
+    tasks = json.load(f)
+
+src_path = Path("./src")
+dst_path = Path("./dst")
+
+for raw_image in src_path.glob("*.png"):
+
+    print("Processing file:", str(raw_image))
+
+    image = cv2.imread(str(raw_image))
+    cur_ratio = image.shape[1] / image.shape[0]
+    if cur_ratio >= std_ratio:  # 说明是宽屏或默认16:9，按照高度计算缩放
+        dsize_width: int = (int)(cur_ratio * std_height)
+        dsize_height: int = std_height
+    else:                       # 否则可能是偏正方形的屏幕，按宽度计算
+        dsize_width: int = std_width
+        dsize_height: int = std_width / cur_ratio
+    dsize = (dsize_width, dsize_height)
+    image = cv2.resize(image, dsize, interpolation=cv2.INTER_AREA)
+
+    for i in task_list:
+        if type(tasks[i]["template"]) == str:
+            filename = tasks[i]["template"]
+        elif type(tasks[i]["template"]) == list:
+            # this is for multi-template:
+            filename = tasks[i]["template"][0].split(".")[0] + raw_image.stem + ".png"
+        try:
+            roi = tasks[i]["roi_crop_doc"]
+        except KeyError:
+            roi = tasks[i]["roi"]
+        cropped = image[roi[1]:roi[1]+roi[3], roi[0]:roi[0]+roi[2]]
+
+        print("Saving", dst_path / filename)
+        cv2.imwrite(str(dst_path / filename), cropped)
+
+    print("Finished processing file:", str(raw_image))
+

tools/GetImageFromROI/requirements.txt

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+opencv-python~=4.5.3

tools/GetImageFromROI/start.bat

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+python main.py
+pause