三维重构终版

3D_construction/script/yolo_detector.py

@@ -0,0 +1,44 @@
+import os
+from ultralytics import YOLO
+
+# 模型缓存
+_yolo_models = {}
+
+
+def detect_crop_area(image_path: str, model_path: str):
+    """
+    使用YOLOv8模型检测图像中的裁切区域。
+
+    Args:
+        image_path (str): 原始图像的文件路径。
+        model_path (str): 用于检测的YOLOv8模型 (.pt) 的路径。
+
+    Returns:
+        tuple or None: 如果检测到物体，返回 (x1, y1, x2, y2)；否则返回 None。
+    """
+    if model_path not in _yolo_models:
+        print(f"Loading YOLOv8 model from: {model_path}")
+        if not os.path.exists(model_path):
+            print(f"Error: YOLO model file not found at {model_path}")
+            return None
+        _yolo_models[model_path] = YOLO(model_path)
+
+    model = _yolo_models[model_path]
+
+    if not os.path.exists(image_path):
+        print(f"Error: Image file not found at {image_path}")
+        return None
+
+    try:
+        results = model.predict(source=image_path, conf=0.5, verbose=False)
+
+        if not results or not results[0].boxes:
+            print(f"Warning: YOLO did not detect any objects in {image_path}")
+            return None
+
+        box = results[0].boxes.xyxy[0].cpu().numpy().astype(int)
+        return tuple(box)
+
+    except Exception as e:
+        print(f"An error occurred during YOLO prediction for {image_path}: {e}")
+        return None