chore.添加一个ROI小工具

.gitignore

@@ -430,6 +430,6 @@ FodyWeavers.xsd
 
 screen.png
 adb_screen.png
-tools/*.png
+tools/**/*.png
 resource/infrast
 .vscode

tools/CropRoi/main.py

@@ -0,0 +1,104 @@
+# USAGE
+# python click_and_crop.py
+# 依次展示 ./src 目录下的文件，裁剪后保存到 ./dst 目录
+
+import cv2
+import os
+
+# 初始化参考点列表和布尔值标志：是否正在执行裁剪
+refPt = []
+cropping = False
+
+
+# 点击并裁剪ROI区域
+# -events 鼠标事件（如按下鼠标左键，释放鼠标左键，鼠标移动等）
+# -x x坐标
+# -y y坐标
+# -flages params 其他参数
+def click_and_crop(event, x, y, flags, param):
+    # 获取全局变量的引用
+    global refPt, cropping
+
+    # 如果鼠标左被单击，记录（x,y）坐标并显示裁剪正在进行
+    if event == cv2.EVENT_LBUTTONDOWN:
+        refPt = [(x, y)]
+        cropping = True
+    # 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
+        refPt.append((x, y))
+        cropping = False
+
+        draw = image.copy()
+        cv2.rectangle(draw, refPt[0], refPt[1], (0, 255, 0), 2)
+        cv2.imshow("image", draw)
+
+std_width :int = 1280
+std_height :int = 720
+std_ratio = std_width / std_height
+
+cv2.namedWindow("image")
+cv2.setMouseCallback("image", click_and_crop)
+
+for filename in os.listdir("./src"):
+    if not filename.endswith(".png"):
+        continue
+
+    print(filename)
+    image = cv2.imread("./src/" + filename)
+    
+    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)
+
+    while True:
+        cv2.imshow("image", image)
+        key = cv2.waitKey(0) & 0xFF
+        if key == ord("s"):
+            break
+        elif key == ord("q"):
+            exit()
+
+    # 如果参考点列表里有俩个点，则裁剪区域并展示
+    if len(refPt) == 2:
+        left = refPt[0][0]
+        right = refPt[1][0]
+        top = refPt[0][1]
+        bottom = refPt[1][1]
+
+        roi = image[top:bottom, left:right]
+        
+        horizontal_expansion = 100
+        vertical_expansion = 100
+
+        filename_x :int = (int)(left - horizontal_expansion / 2)
+        if filename_x < 0:
+            filename_x = 0
+        filename_y :int = (int)(top - vertical_expansion / 2)
+        if filename_y < 0:
+            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
+        
+        dst_filename :str = f'{filename}_{filename_x},{filename_y},{filename_w},{filename_h}.png'
+
+        print('dst:', dst_filename)
+        cv2.imwrite('./dst/' + dst_filename, roi)
+
+    refPt = []
+    cropping = False
+
+# 关闭所有打开的窗口
+cv2.destroyAllWindows()

tools/CropRoi/requirements.txt

@@ -0,0 +1 @@
+opencv-python~=4.5.3