refactor: 将视觉模型资源迁移至Src并修复路径

Src/pages/visionmodelpage.cpp

@@ -7,6 +7,7 @@
 #include <QDir>
 #include <QFile>
 #include <QDateTime>
+#include <QCoreApplication>
 
 /**
  * 视觉模型页面实现
@@ -263,7 +264,27 @@ void VisionModelPage::runYOLOv5Detection(const QString& imagePath) {
     if (isRunning_) {
         return;
     }
-    
+    // 构建Python脚本路径，优先使用相对路径，保证跨环境可用
+    QDir appDir(QCoreApplication::applicationDirPath());
+    const QStringList candidateScripts = {
+        QDir::cleanPath(appDir.filePath("../Src/vision_models/services/yolov5_detection_service_simple.py")),
+        QDir::cleanPath(appDir.filePath("Src/vision_models/services/yolov5_detection_service_simple.py")),
+        QDir::cleanPath(appDir.filePath("vision_models/services/yolov5_detection_service_simple.py"))
+    };
+
+    QString pythonScript;
+    for (const QString& candidate : candidateScripts) {
+        if (QFile::exists(candidate)) {
+            pythonScript = candidate;
+            break;
+        }
+    }
+
+    if (pythonScript.isEmpty()) {
+        showError("找不到YOLOv5检测脚本，请确认项目目录结构完整。");
+        return;
+    }
+
     isRunning_ = true;
     runBtn_->setText("检测中...");
     runBtn_->setEnabled(false);
@@ -272,7 +293,6 @@ void VisionModelPage::runYOLOv5Detection(const QString& imagePath) {
     progressTimer_->start(100);
     
     // 构建Python命令
-    QString pythonScript = QDir::currentPath() + "/vision_models/services/yolov5_detection_service_simple.py";
     QStringList arguments;
     arguments << pythonScript << "--image" << imagePath;
     

Src/vision_models/services/yolov5_detection_service_simple.py

@@ -20,6 +20,12 @@ except ImportError as e:
     print(f"YOLOv5导入失败: {e}")
     YOLOV5_AVAILABLE = False
 
+SCRIPT_DIR = Path(__file__).resolve().parent
+PROJECT_ROOT = SCRIPT_DIR.parents[2]  # /Src/vision_models/services -> root
+MODELS_DIR = SCRIPT_DIR.parent / "models"
+YOLOROOT_DIR = SCRIPT_DIR.parent / "yolov5"
+
+
 class YOLOv5Detector:
     """YOLOv5目标检测器 - 简化版本"""
 
@@ -33,17 +39,32 @@ class YOLOv5Detector:
         
         # 加载模型
         try:
-            if weights_path and os.path.exists(weights_path):
-                self.model = YOLO(weights_path)
-            else:
-                # 优先使用现有的yolov5su.pt模型
-                if os.path.exists('yolov5su.pt'):
-                    self.model = YOLO('yolov5su.pt')
-                elif os.path.exists('../models/yolov5su.pt'):
-                    self.model = YOLO('../models/yolov5su.pt')
-                else:
-                    # 使用默认的YOLOv5s模型
-                    self.model = YOLO('yolov5s.pt')
+            candidate_paths = []
+            if weights_path:
+                candidate_paths.append(Path(weights_path))
+
+            # 优先选择项目内模型
+            candidate_paths.extend([
+                MODELS_DIR / "yolov5su.pt",
+                SCRIPT_DIR / "yolov5su.pt",
+                Path.cwd() / "yolov5su.pt",
+                MODELS_DIR / "yolov5s.pt",
+                SCRIPT_DIR / "yolov5s.pt",
+                Path.cwd() / "yolov5s.pt",
+            ])
+
+            model_path = None
+            for path in candidate_paths:
+                if path.exists():
+                    model_path = path
+                    break
+
+            if model_path is None:
+                raise FileNotFoundError(
+                    "未找到YOLO模型权重，请将 yolov5su.pt 或 yolov5s.pt 放在 Src/vision_models/models 目录。"
+                )
+
+            self.model = YOLO(str(model_path))
             print(f"✅ 模型加载成功: {self.model.model_name if hasattr(self.model, 'model_name') else 'YOLOv5'}")
         except Exception as e:
             raise RuntimeError(f"模型加载失败: {e}")