154 lines
6.2 KiB
Python
154 lines
6.2 KiB
Python
import sys
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import cv2
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import numpy as np
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import multiprocessing
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from PyQt5 import QtWidgets, QtGui, QtCore
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from PyQt5.QtCore import QTimer
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from ultralytics import YOLO
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from Detection_window import Ui_MainWindow
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from camera.camera_process import CameraProcess
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from read_ini import ConfigReader
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from log_handler import LogHandler
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from Yolo_predict import YoloPredict
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class DetectionApp(QtWidgets.QMainWindow, Ui_MainWindow):
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def __init__(self):
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super(DetectionApp, self).__init__()
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self.setupUi(self)
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self.log_handler = LogHandler() # ✅ 建立 LogHandler 物件
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self.log_handler.write_log("程式啟動") # ✅ 寫入 log: 程式啟動
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# ✅ 讀取 `exposure_time`
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self.config_reader = ConfigReader()
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self.exposure_time = self.config_reader.get_exposure_time()
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# ✅ 先初始化 image_queue，再啟動相機擷取
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self.image_queue = multiprocessing.Queue(maxsize=1)
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self.camera_process = None # 相機進程尚未啟動
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self.latest_image = None # 存儲最新影像
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# ✅ 載入 YOLO模型
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try:
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self.model = YOLO("model/best.pt")
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self.log_handler.write_log("YOLO 模型載入成功")
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except Exception as e:
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self.log_handler.write_log(f"⚠️ YOLO 模型載入失敗: {e}")
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self.model = None
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# ✅ 連接按鈕事件
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self.bt_KeepShot.clicked.connect(self.KeepShot)
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self.bt_StopKeepShot.clicked.connect(self.StopKeepShot)
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self.bt_detection.clicked.connect(self.detection)
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# 鎖定檢測按鈕及停止相機連續取像
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self.bt_detection.setEnabled(False)
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self.bt_StopKeepShot.setEnabled(False)
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# ✅ 設定 QTimer，每 100ms 更新影像
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self.timer = QTimer(self)
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self.timer.timeout.connect(self.update_view_origin)
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self.timer.start(100) # 每 100ms 更新一次影像
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def KeepShot(self):
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""" 啟動相機擷取 """
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if self.camera_process is None or not self.camera_process.is_alive():
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self.StopKeepShot() # 確保先停止舊的 Process，避免衝突
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# ✅ 重新建立 Queue，避免殘留影像影響新擷取
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self.image_queue = multiprocessing.Queue(maxsize=1)
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# ✅ 使用 `exposure_time` 啟動相機
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self.camera_process = CameraProcess(self.image_queue, exposure_time=self.exposure_time)
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self.camera_process.start()
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self.log_handler.write_log("相機啟動") # ✅ 寫入 log: 相機啟動
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self.statusbar.showMessage(f"開始擷取影像 (曝光時間: {self.exposure_time} 微秒)")
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# 按鈕setEnable
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self.bt_KeepShot.setEnabled(False)
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self.bt_StopKeepShot.setEnabled(True)
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self.bt_detection.setEnabled(True)
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else:
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print("相機已經在擷取")
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def StopKeepShot(self):
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""" 停止相機擷取 """
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if self.camera_process and self.camera_process.is_alive():
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self.camera_process.stop() # 停止擷取
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self.camera_process.join() # 等待進程完全結束
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self.camera_process = None
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print("已停止影像擷取")
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self.log_handler.write_log("相機停止") # ✅ 寫入 log: 相機停止
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# 按鈕setEnable
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self.bt_KeepShot.setEnabled(True)
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self.bt_StopKeepShot.setEnabled(False)
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self.bt_detection.setEnabled(False)
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# ✅ 清空 Queue，確保新擷取不會讀取到舊影像
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while not self.image_queue.empty():
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try:
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self.image_queue.get_nowait()
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except:
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break
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def update_view_origin(self):
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""" 從 Queue 獲取影像並顯示在 QLabel (view_origin) 上 """
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if not self.image_queue.empty():
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image = self.image_queue.get() # 取得最新影像
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self.latest_image = image # 存儲最新影像
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self.display_image(image, self.view_origin)
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def display_image(self, image, label):
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""" 顯示影像到 QLabel """
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try:
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image_bgr = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) if len(image.shape) == 2 else image
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height, width, channel = image_bgr.shape
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bytes_per_line = 3 * width
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qimage = QtGui.QImage(image_bgr.data, width, height, bytes_per_line, QtGui.QImage.Format_BGR888)
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pixmap = QtGui.QPixmap.fromImage(qimage).scaled(label.size(), QtCore.Qt.KeepAspectRatio)
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label.setPixmap(pixmap)
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except Exception as e:
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self.log_handler.write_log(f"⚠️ 顯示影像時發生錯誤: {e}")
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def detection(self):
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""" 啟動 YOLO 推論執行緒 """
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if self.latest_image is None:
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self.log_handler.write_log("⚠️ 無影像可進行推論")
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return
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# ✅ 啟動 YOLO 推論執行緒
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self.yolo_thread = YoloPredict(
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image=self.latest_image,
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model_path="model/best.pt",
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callback=self.on_detection_complete # ✅ 設定回呼函數
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)
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self.yolo_thread.start()
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self.log_handler.write_log("YOLO 推論執行中...")
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def on_detection_complete(self, result_image, save_path):
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""" YOLO 推論完成後的回呼函數 """
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self.display_image(result_image, self.view_predict)
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self.statusbar.showMessage(f"推論結果已儲存: {save_path}")
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self.log_handler.write_log(f"推論結果儲存至: {save_path}")
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def closeEvent(self, event):
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reply = QtWidgets.QMessageBox.question(
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self, "確認", "確定要關閉應用程式嗎？",
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QtWidgets.QMessageBox.Yes | QtWidgets.QMessageBox.No, QtWidgets.QMessageBox.No
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)
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if reply == QtWidgets.QMessageBox.Yes:
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self.StopKeepShot() # 停止相機
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self.log_handler.write_log("程式關閉") # ✅ 寫入 log: 程式關閉
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event.accept() # 允許視窗關閉
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else:
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event.ignore() # 阻止視窗關閉
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if __name__ == "__main__":
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multiprocessing.freeze_support() # 在 Windows 上執行 multiprocessing 需要這行
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app = QtWidgets.QApplication(sys.argv)
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window = DetectionApp()
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window.show()
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sys.exit(app.exec_())
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