diff --git a/main2.py b/main2.py
index af4ef8a..e069ddd 100644
--- a/main2.py
+++ b/main2.py
@@ -1,162 +1,162 @@
-import cv2
-from ultralytics import YOLO
-def getxy(cvx,cvy):
-    returny="南"+str((cvy+446.6)*18/1000*0.54)+"海里"
-    returnx=""
-    if cvx<335:
-        returnx+="西"
-        returnx+=str((335-cvx)*18/1000*0.54)+"海里"
-    elif cvx>335:
-        returnx+="东"
-        returnx+=str((cvx-335)*18/1000*0.54) + "海里"
-    else:
-        returnx+="中0海里"
-    return returnx,returny
-model = YOLO("./best4.pt")
-import matplotlib.pyplot as plt
-plt.rcParams['font.family'] = 'SimHei'  # 设置字体为中文黑体
-def zh_ch(string):
-    return string.encode("gbk").decode(errors="ignore")
-cap = cv2.VideoCapture(1)
-cv2.namedWindow('window', cv2.WINDOW_NORMAL)
-cv2.setWindowProperty('window', cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
-while cap.isOpened():
-    # 读取摄像头帧
-    success, frame = cap.read()
-
-    if not success:
-        break
-
-    # 使用 YOLOv8 进行检测（conf 设置置信度阈值）
-    results = model(frame, conf=0.91)
-
-    # 初始化绿潮检测标志
-    green_tide_detected = False
-    red_tide_detected = False
-    fluorescent_sea_detected = False
-    # 遍历检测结果
-    for result in results:
-        for box in result.boxes:
-            # 获取坐标（xyxy 格式）
-            x1, y1, x2, y2 = map(int, box.xyxy[0])
-
-            # 获取类别 ID 和名称
-            class_id = int(box.cls)
-            class_name = model.names[class_id]
-
-            # 获取置信度（保留 2 位小数）
-            confidence = round(float(box.conf), 2)
-
-            # 绘制检测框
-            cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
-
-            # 显示类别和置信度
-            label = f"{class_name}: {confidence:.2f}"
-            cv2.putText(frame, label, (x1, y1 - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
-
-            # 检查是否是绿潮
-            if class_name == "greentide":
-                green_tide_detected = True
-            if class_name == "redtide":
-                red_tide_detected = True
-            if class_name=="fluorescent_sea":
-                fluorescent_sea_detected = True
-
-    # 如果检测到绿潮，在右上角显示提示
-    if green_tide_detected:
-        x1_return,y1_return=getxy(x1,y1)
-        x2_return,y2_return=getxy(x2,y2)
-        centerx_return,centery_return=getxy((x1+x2)*0.5,(y1+y2)*0.5)
-        text="检测到发生绿潮,左上位置:"+x1_return+","+y1_return+",\n右下位置:"+x2_return+","+y2_return+",\n中心位置:"+centerx_return+","+centery_return
-        #text = "检测到发生绿潮,左上坐标:("+str(x1*18)+","+str(y1*18)+"),右下坐标:("+str(x2*18)+","+str(y2*18)+"),\n中心点坐标:("+str(int(0.5*18*(x1+x2)))+","+str(int(0.5*18*(y1+y2)))+")"
-        font = cv2.FONT_HERSHEY_SIMPLEX
-        font_scale = 0.5
-        font_thickness = 2
-        font_color = (0, 255, 0)  # 绿色
-
-        # 获取文字尺寸
-        (text_width, text_height), _ = cv2.getTextSize(text, font, font_scale, font_thickness)
-
-        # 计算右上角位置（留出边距）
-        margin = 10
-        text_x = frame.shape[1] - text_width - margin
-        text_y = text_height + margin
-
-        # 添加半透明背景（可选）
-        cv2.rectangle(
-            frame,
-            (text_x - 5, text_y - text_height - 5),
-            (text_x + text_width + 5, text_y + 5),
-            (0, 0, 0),
-            -1,
-        )
-
-        # 绘制文字
-        cv2.putText(frame, text, (text_x, text_y), font, font_scale, font_color, font_thickness)
-    if red_tide_detected:
-        x1_return, y1_return = getxy(x1, y1)
-        x2_return, y2_return = getxy(x2, y2)
-        centerx_return, centery_return = getxy((x1 + x2) * 0.5, (y1 + y2) * 0.5)
-        text = "检测到发生赤潮,左上位置:" + x1_return + "," + y1_return + ",\n右下位置:" + x2_return + "," + y2_return + ",\n中心位置:" + centerx_return + "," + centery_return
-        font = cv2.FONT_HERSHEY_SIMPLEX
-        font_scale = 0.5
-        font_thickness = 2
-        font_color = (0, 0, 255)  # 绿色
-
-        # 获取文字尺寸
-        (text_width, text_height), _ = cv2.getTextSize(text, font, font_scale, font_thickness)
-
-        # 计算右上角位置（留出边距）
-        margin = 10
-        text_x = frame.shape[1] - text_width - margin
-        text_y = text_height + margin
-
-        # 添加半透明背景（可选）
-        cv2.rectangle(
-            frame,
-            (text_x - 5, text_y - text_height - 5),
-            (text_x + text_width + 5, text_y + 5),
-            (0, 0, 0),
-            -1,
-        )
-
-        # 绘制文字
-        cv2.putText(frame, text, (text_x, text_y), font, font_scale, font_color, font_thickness)
-    if fluorescent_sea_detected:
-        x1_return, y1_return = getxy(x1, y1)
-        x2_return, y2_return = getxy(x2, y2)
-        centerx_return, centery_return = getxy((x1 + x2) * 0.5, (y1 + y2) * 0.5)
-        text = "检测到发生荧光海,左上位置:" + x1_return + "," + y1_return + ",\n右下位置:" + x2_return + "," + y2_return + ",\n中心位置:" + centerx_return + "," + centery_return
-        font = cv2.FONT_HERSHEY_SIMPLEX
-        font_scale = 0.5
-        font_thickness = 2
-        font_color = (255, 0,0)  # 绿色
-
-        # 获取文字尺寸
-        (text_width, text_height), _ = cv2.getTextSize(text, font, font_scale, font_thickness)
-
-        # 计算右上角位置（留出边距）
-        margin = 10
-        text_x = frame.shape[1] - text_width - margin
-        text_y = text_height + margin
-
-        # 添加半透明背景（可选）
-        cv2.rectangle(
-            frame,
-            (text_x - 5, text_y - text_height - 5),
-            (text_x + text_width + 5, text_y + 5),
-            (0, 0, 0),
-            -1,
-        )
-
-        # 绘制文字
-        cv2.putText(frame, text, (text_x, text_y), font, font_scale, font_color, font_thickness)
-    # 显示实时检测画面
-    cv2.imshow("window", frame)
-    # 按 'q' 退出
-    if cv2.waitKey(1) & 0xFF == ord('q'):
-        break
-
-# 释放摄像头并关闭窗口
-cap.release()
+import cv2
+from ultralytics import YOLO
+def getxy(cvx,cvy):
+    returny="南"+str((cvy+446.6)*18/1000*0.54)+"海里"
+    returnx=""
+    if cvx<335:
+        returnx+="西"
+        returnx+=str((335-cvx)*18/1000*0.54)+"海里"
+    elif cvx>335:
+        returnx+="东"
+        returnx+=str((cvx-335)*18/1000*0.54) + "海里"
+    else:
+        returnx+="中0海里"
+    return returnx,returny
+model = YOLO("./best4_ncnn_model")
+import matplotlib.pyplot as plt
+plt.rcParams['font.family'] = 'SimHei'  # 设置字体为中文黑体
+def zh_ch(string):
+    return string.encode("gbk").decode(errors="ignore")
+cap = cv2.VideoCapture(0)
+cv2.namedWindow('window', cv2.WINDOW_NORMAL)
+cv2.setWindowProperty('window', cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
+while cap.isOpened():
+    # 读取摄像头帧
+    success, frame = cap.read()
+
+    if not success:
+        break
+
+    # 使用 YOLOv8 进行检测（conf 设置置信度阈值）
+    results = model(frame, conf=0.91)
+
+    # 初始化绿潮检测标志
+    green_tide_detected = False
+    red_tide_detected = False
+    fluorescent_sea_detected = False
+    # 遍历检测结果
+    for result in results:
+        for box in result.boxes:
+            # 获取坐标（xyxy 格式）
+            x1, y1, x2, y2 = map(int, box.xyxy[0])
+
+            # 获取类别 ID 和名称
+            class_id = int(box.cls)
+            class_name = model.names[class_id]
+
+            # 获取置信度（保留 2 位小数）
+            confidence = round(float(box.conf), 2)
+
+            # 绘制检测框
+            cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
+
+            # 显示类别和置信度
+            label = f"{class_name}: {confidence:.2f}"
+            cv2.putText(frame, label, (x1, y1 - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
+
+            # 检查是否是绿潮
+            if class_name == "greentide":
+                green_tide_detected = True
+            if class_name == "redtide":
+                red_tide_detected = True
+            if class_name=="fluorescent_sea":
+                fluorescent_sea_detected = True
+
+    # 如果检测到绿潮，在右上角显示提示
+    if green_tide_detected:
+        x1_return,y1_return=getxy(x1,y1)
+        x2_return,y2_return=getxy(x2,y2)
+        centerx_return,centery_return=getxy((x1+x2)*0.5,(y1+y2)*0.5)
+        text="检测到发生绿潮,左上位置:"+x1_return+","+y1_return+",\n右下位置:"+x2_return+","+y2_return+",\n中心位置:"+centerx_return+","+centery_return
+        #text = "检测到发生绿潮,左上坐标:("+str(x1*18)+","+str(y1*18)+"),右下坐标:("+str(x2*18)+","+str(y2*18)+"),\n中心点坐标:("+str(int(0.5*18*(x1+x2)))+","+str(int(0.5*18*(y1+y2)))+")"
+        font = cv2.FONT_HERSHEY_SIMPLEX
+        font_scale = 0.5
+        font_thickness = 2
+        font_color = (0, 255, 0)  # 绿色
+
+        # 获取文字尺寸
+        (text_width, text_height), _ = cv2.getTextSize(text, font, font_scale, font_thickness)
+
+        # 计算右上角位置（留出边距）
+        margin = 10
+        text_x = frame.shape[1] - text_width - margin
+        text_y = text_height + margin
+
+        # 添加半透明背景（可选）
+        cv2.rectangle(
+            frame,
+            (text_x - 5, text_y - text_height - 5),
+            (text_x + text_width + 5, text_y + 5),
+            (0, 0, 0),
+            -1,
+        )
+
+        # 绘制文字
+        cv2.putText(frame, text, (text_x, text_y), font, font_scale, font_color, font_thickness)
+    if red_tide_detected:
+        x1_return, y1_return = getxy(x1, y1)
+        x2_return, y2_return = getxy(x2, y2)
+        centerx_return, centery_return = getxy((x1 + x2) * 0.5, (y1 + y2) * 0.5)
+        text = "检测到发生赤潮,左上位置:" + x1_return + "," + y1_return + ",\n右下位置:" + x2_return + "," + y2_return + ",\n中心位置:" + centerx_return + "," + centery_return
+        font = cv2.FONT_HERSHEY_SIMPLEX
+        font_scale = 0.5
+        font_thickness = 2
+        font_color = (0, 0, 255)  # 绿色
+
+        # 获取文字尺寸
+        (text_width, text_height), _ = cv2.getTextSize(text, font, font_scale, font_thickness)
+
+        # 计算右上角位置（留出边距）
+        margin = 10
+        text_x = frame.shape[1] - text_width - margin
+        text_y = text_height + margin
+
+        # 添加半透明背景（可选）
+        cv2.rectangle(
+            frame,
+            (text_x - 5, text_y - text_height - 5),
+            (text_x + text_width + 5, text_y + 5),
+            (0, 0, 0),
+            -1,
+        )
+
+        # 绘制文字
+        cv2.putText(frame, text, (text_x, text_y), font, font_scale, font_color, font_thickness)
+    if fluorescent_sea_detected:
+        x1_return, y1_return = getxy(x1, y1)
+        x2_return, y2_return = getxy(x2, y2)
+        centerx_return, centery_return = getxy((x1 + x2) * 0.5, (y1 + y2) * 0.5)
+        text = "检测到发生荧光海,左上位置:" + x1_return + "," + y1_return + ",\n右下位置:" + x2_return + "," + y2_return + ",\n中心位置:" + centerx_return + "," + centery_return
+        font = cv2.FONT_HERSHEY_SIMPLEX
+        font_scale = 0.5
+        font_thickness = 2
+        font_color = (255, 0,0)  # 绿色
+
+        # 获取文字尺寸
+        (text_width, text_height), _ = cv2.getTextSize(text, font, font_scale, font_thickness)
+
+        # 计算右上角位置（留出边距）
+        margin = 10
+        text_x = frame.shape[1] - text_width - margin
+        text_y = text_height + margin
+
+        # 添加半透明背景（可选）
+        cv2.rectangle(
+            frame,
+            (text_x - 5, text_y - text_height - 5),
+            (text_x + text_width + 5, text_y + 5),
+            (0, 0, 0),
+            -1,
+        )
+
+        # 绘制文字
+        cv2.putText(frame, text, (text_x, text_y), font, font_scale, font_color, font_thickness)
+    # 显示实时检测画面
+    cv2.imshow("window", frame)
+    # 按 'q' 退出
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+# 释放摄像头并关闭窗口
+cap.release()
 cv2.destroyAllWindows()
\ No newline at end of file