增加推論程式

detection.py

@@ -4,6 +4,7 @@ import numpy as np
 import multiprocessing
 from PyQt5 import QtWidgets, QtGui, QtCore
 from PyQt5.QtCore import QTimer
+from ultralytics import YOLO
 
 from Detection_window import Ui_MainWindow
 from camera.camera_process import CameraProcess
@@ -25,10 +26,20 @@ class DetectionApp(QtWidgets.QMainWindow, Ui_MainWindow):
         # ✅ 先初始化 image_queue，再啟動相機擷取
         self.image_queue = multiprocessing.Queue(maxsize=1)
         self.camera_process = None  # 相機進程尚未啟動
+        self.latest_image = None  # 存儲最新影像
+
+        # ✅ 載入 YOLO模型
+        try:
+            self.model = YOLO("model/best.pt")
+            self.log_handler.write_log("YOLO 模型載入成功")
+        except Exception as e:
+            self.log_handler.write_log(f"⚠️ YOLO 模型載入失敗: {e}")
+            self.model = None
 
         # ✅ 連接按鈕事件
         self.bt_KeepShot.clicked.connect(self.KeepShot)
         self.bt_StopKeepShot.clicked.connect(self.StopKeepShot)
+        self.bt_detection.clicked.connect(self.detection)
 
         # ✅ 設定 QTimer，每 100ms 更新影像
         self.timer = QTimer(self)
@@ -71,16 +82,47 @@ class DetectionApp(QtWidgets.QMainWindow, Ui_MainWindow):
         """ 從 Queue 獲取影像並顯示在 QLabel (view_origin) 上 """
         if not self.image_queue.empty():
             image = self.image_queue.get()  # 取得最新影像
-            self.display_image(image)
+            self.latest_image = image  # 存儲最新影像
+            self.display_image(image, self.view_origin)
 
-    def display_image(self, image):
+    def display_image(self, image, label):
-        """ 顯示影像到 QLabel (view_origin) """
+        """ 顯示影像到 QLabel """
-        image_bgr = cv2.cvtColor(image, cv2.COLOR_BayerBG2BGR) if len(image.shape) == 2 else image
+        try:
-        height, width, channel = image_bgr.shape
+            image_bgr = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) if len(image.shape) == 2 else image
-        bytes_per_line = 3 * width
+            height, width, channel = image_bgr.shape
-        qimage = QtGui.QImage(image_bgr.data, width, height, bytes_per_line, QtGui.QImage.Format_BGR888)
+            bytes_per_line = 3 * width
-        pixmap = QtGui.QPixmap.fromImage(qimage).scaled(self.view_origin.size(), QtCore.Qt.KeepAspectRatio)
+            qimage = QtGui.QImage(image_bgr.data, width, height, bytes_per_line, QtGui.QImage.Format_BGR888)
-        self.view_origin.setPixmap(pixmap)
+            pixmap = QtGui.QPixmap.fromImage(qimage).scaled(label.size(), QtCore.Qt.KeepAspectRatio)
+            label.setPixmap(pixmap)
+        except Exception as e:
+            self.log_handler.write_log(f"⚠️ 顯示影像時發生錯誤: {e}")
+
+    def detection(self):
+        """ 使用 YOLO進行推論 """
+        if self.latest_image is None:
+            self.log_handler.write_log("⚠️ 無影像可進行推論")
+            return
+
+        if self.model is None:
+            self.log_handler.write_log("⚠️ YOLO 模型未載入，無法執行推論")
+            return
+
+        try:
+            # ✅ 轉換影像格式 (BGR → RGB)
+            image_rgb = cv2.cvtColor(self.latest_image, cv2.COLOR_BGR2RGB)
+
+            # ✅ 使用 YOLO 模型進行推論
+            results = self.model.predict(image_rgb, imgsz=640, conf=0.5)  # 影像大小 640, 置信度閾值 0.5
+            self.log_handler.write_log("YOLO 推論完成")
+
+            # ✅ 取得標註結果
+            result_image = results[0].plot()  # `plot()` 會回傳畫出標註的影像
+
+            # ✅ 顯示結果
+            self.display_image(result_image, self.view_predict)
+
+        except Exception as e:
+            self.log_handler.write_log(f"⚠️ 推論時發生錯誤: {e}")
 
     def closeEvent(self, event):
         reply = QtWidgets.QMessageBox.question(

logging/2025-03-10.txt

@@ -16,3 +16,35 @@
 [2025-03-10 21:04:32] 相機啟動
 [2025-03-10 21:04:37] 相機停止
 [2025-03-10 21:04:44] 程式關閉
+[2025-03-10 21:17:09] 程式啟動
+[2025-03-10 21:17:09] YOLO 模型載入成功
+[2025-03-10 21:17:12] 相機啟動
+[2025-03-10 21:20:22] 程式啟動
+[2025-03-10 21:20:22] YOLO 模型載入成功
+[2025-03-10 21:20:48] 相機啟動
+[2025-03-10 21:21:02] 相機啟動
+[2025-03-10 21:21:14] 程式關閉
+[2025-03-10 21:21:21] 程式啟動
+[2025-03-10 21:21:21] YOLO 模型載入成功
+[2025-03-10 21:21:45] 相機啟動
+[2025-03-10 21:24:41] 程式啟動
+[2025-03-10 21:24:41] YOLO 模型載入成功
+[2025-03-10 21:24:44] 相機啟動
+[2025-03-10 21:25:21] 程式啟動
+[2025-03-10 21:25:21] YOLO 模型載入成功
+[2025-03-10 21:25:23] 相機啟動
+[2025-03-10 21:25:36] 程式關閉
+[2025-03-10 21:25:55] 程式啟動
+[2025-03-10 21:25:55] YOLO 模型載入成功
+[2025-03-10 21:26:03] 相機啟動
+[2025-03-10 21:29:04] 程式啟動
+[2025-03-10 21:29:04] YOLO 模型載入成功
+[2025-03-10 21:29:06] 相機啟動
+[2025-03-10 21:29:20] YOLO 推論完成
+[2025-03-10 21:29:20] ⚠️ 推論時發生錯誤: display_image() takes 2 positional arguments but 3 were given
+[2025-03-10 21:32:07] 程式啟動
+[2025-03-10 21:32:07] YOLO 模型載入成功
+[2025-03-10 21:32:12] 相機啟動
+[2025-03-10 21:32:21] YOLO 推論完成
+[2025-03-10 21:32:32] 相機停止
+[2025-03-10 21:32:33] 程式關閉