增加CPP

surround_view/param_settings.py

@@ -12,7 +12,7 @@ shift_h = 100
 
 # 标定图案与车辆之间在水平和垂直方向上的间隙大小
 inn_shift_w = 20
-inn_shift_h = 20
+inn_shift_h = 30
 
 # 拼接图像的总宽度/高度
 total_w = 300 + 2 * shift_w
@@ -20,10 +20,10 @@ total_h = 350 + 2 * shift_h
 
 
 # 计算车辆在全景图中的位置
-xl = shift_w + 45 + inn_shift_w
+xl = shift_w + 55 + inn_shift_w
 xr = total_w - xl
 print(xl, xr)
-yt = shift_h + 60 + inn_shift_h
+yt = shift_h + 55 + inn_shift_h
 yb = total_h - yt
 # --------------------------------------------------------------------
 
@@ -44,18 +44,18 @@ project_keypoints = {
 
     "back":  [(shift_w + 0, shift_h),
               (shift_w + 300, shift_h),
-              (shift_w + 0, shift_h + 80),
-              (shift_w + 300, shift_h + 80)],
+              (shift_w + 0, shift_h + 70),
+              (shift_w + 300, shift_h + 70)],
 
     "left":  [(shift_h + 0, shift_w),
               (shift_h + 350, shift_w),
-              (shift_h + 0, shift_w + 50),
-              (shift_h + 350, shift_w + 50)],
+              (shift_h + 0, shift_w + 40),
+              (shift_h + 350, shift_w + 40)],
 
     "right": [(shift_h + 0, shift_w),
               (shift_h + 350, shift_w),
-              (shift_h + 0, shift_w + 50),
-              (shift_h + 350, shift_w + 50)]
+              (shift_h + 0, shift_w + 40),
+              (shift_h + 350, shift_w + 40)]
 }
 
 car_image = cv2.imread(os.path.join(os.getcwd(), "images", "car.png"))