diff --git a/README.md b/README.md
index b2c0453..3c62db0 100644
--- a/README.md
+++ b/README.md
@@ -28,7 +28,6 @@
 2. 等待扫描设备（设备越多等待时间越长）
 3. 选择客户端
 4. 输入需要执行的任务序号
-
     - 以空格分隔，例如 `1 2 3 4 5` 和 `2 3 1 4 5`，序号的顺序代表着执行顺序
     - 序号可重复，例如 `5 1 2 3 4 5`
 
@@ -73,6 +72,9 @@
    - 目前启动游戏仅支持官服、Bilibili服和Vivo服
    - 其他渠道服虽不支持启动，但可手动启动游戏后正常使用
    - 若需要适配启动其他渠道服，欢迎提 `issues` 或 `pr`
+   - 家园远征可能会清空当前体力和家园体力罐内体力,总量受远征派遣体力限制
+   - 如果任务列表中同时包含 MaterialEvent 和 Homelad，先完成 MaterialEvent是一个更好的选择。这样做有助于确保有足够的体力来完成所有任务
+   - 使用材料减负需要先三星通关一次对应关卡，有多个关卡的模块（如曜日材料）则会自动进行已完成挑战的最高一级关卡
 
 ## How to build
 
diff --git a/tools/CropRoi/main.py b/tools/CropRoi/main.py
index 3eed29e..ecbf522 100644
--- a/tools/CropRoi/main.py
+++ b/tools/CropRoi/main.py
@@ -2,10 +2,12 @@
 import os
 from typing import List, Tuple
 
-print("Usage:\n"
-      "Put the 16:9 images under ./src, and run this script, it will be auto converted to 720p.\n"
-      "Drag mouse to select ROI, press 'S' to save, press 'Q' to quit.\n"
-      "The cropped images will be saved in ./dst\n")
+print(
+    "Usage:\n"
+    "Put the 16:9 images under ./src, and run this script, it will be auto converted to 720p.\n"
+    "Drag mouse to select ROI, press 'S' to save, press 'Q' to quit.\n"
+    "The cropped images will be saved in ./dst\n"
+)
 
 # 初始化参考点列表和布尔值标志：是否正在执行裁剪
 refPt: List[Tuple[int, int]] = []
@@ -26,6 +28,13 @@ def click_and_crop(event: int, x: int, y: int, *args) -> None:
     if event == cv2.EVENT_LBUTTONDOWN:
         refPt = [(x, y)]
         cropping = True
+    # 检测鼠标是否移动
+    elif event == cv2.EVENT_MOUSEMOVE:
+        if cropping:
+            # 创建图像副本以绘制动态矩形
+            draw = image.copy()
+            cv2.rectangle(draw, refPt[0], (x, y), (0, 255, 0), 2)
+            cv2.imshow("image", draw)
     # 检测鼠标左键是否释放
     elif event == cv2.EVENT_LBUTTONUP:
         # 记录结束（x,y）坐标，并显示裁剪结束
@@ -73,36 +82,37 @@ def click_and_crop(event: int, x: int, y: int, *args) -> None:
 
     # 如果参考点列表里有俩个点，则裁剪区域并展示
     if len(refPt) == 2:
-        if refPt[0][0] > refPt[1][0] or refPt[0][1] > refPt[1][1]:
-            refPt[0], refPt[1] = refPt[1], refPt[0]
-        left = refPt[0][0]
-        right = refPt[1][0]
-        top = refPt[0][1]
-        bottom = refPt[1][1]
+        pt1, pt2 = sorted(refPt)
+
+        left, top = pt1
+        right, bottom = pt2
 
         roi = image[top:bottom, left:right]
 
         horizontal_expansion = 100
         vertical_expansion = 100
 
-        filename_x: int = int(left - horizontal_expansion / 2)
-        filename_x = max(filename_x, 0)
-        filename_y: int = int(top - vertical_expansion / 2)
-        filename_y = max(filename_y, 0)
-        filename_w: int = (right - left) + horizontal_expansion
-        if filename_x + filename_w > dsize_width:
-            filename_w = dsize_width - filename_x
-        filename_h: int = (bottom - top) + vertical_expansion
-        if filename_y + filename_h > dsize_height:
-            filename_h = dsize_height - filename_y
+        # 计算扩展后的左上角坐标，并确保不超出图像边界
+        filename_x = max(0, left - horizontal_expansion // 2)
+        filename_y = max(0, top - vertical_expansion // 2)
+
+        # 计算扩展后的宽度和高度，并进行边界检查
+        filename_w = min(
+            dsize_width - filename_x, (right - left) + horizontal_expansion
+        )
+        filename_h = min(dsize_height - filename_y, (bottom - top) + vertical_expansion)
 
-        dst_filename: str = f'{filename}_{filename_x},{filename_y},{filename_w},{filename_h}.png'
-        print('dst:', dst_filename)
+        dst_filename: str = (
+            f"{filename}_{filename_x},{filename_y},{filename_w},{filename_h}.png"
+        )
+        print("dst:", dst_filename)
 
-        print(f"original roi: {left}, {top}, {right - left}, {bottom - top}, \n"
-              f"amplified roi: {filename_x}, {filename_y}, {filename_w}, {filename_h}\n\n")
+        print(
+            f"original roi: {left}, {top}, {right - left}, {bottom - top}, \n"
+            f"amplified roi: {filename_x}, {filename_y}, {filename_w}, {filename_h}\n\n"
+        )
 
-        cv2.imwrite(f'./dst/{dst_filename}', roi)
+        cv2.imwrite(f"./dst/{dst_filename}", roi)
 
     refPt: List[Tuple[int, int]] = []
     cropping = False