418 lines
14 KiB
Python
418 lines
14 KiB
Python
import sys
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import cv2
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import numpy as np
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from PyQt5.QtWidgets import (
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QApplication, QMainWindow, QWidget, QVBoxLayout, QHBoxLayout,
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QLabel, QPushButton, QScrollArea, QFrame, QSizePolicy
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)
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from PyQt5.QtCore import QTimer, Qt, pyqtSignal, QThread
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from PyQt5.QtGui import QImage, QPixmap, QFont, QPainter, QPen, QColor
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import os
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from yolopart.detector import LicensePlateYOLO
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from OCR_part.ocr_interface import LPRNmodel_predict
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from OCR_part.ocr_interface import LPRNinitialize_model
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# 使用CRNN进行车牌字符识别（可选）同时也要修改第395，396行
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# from CRNN_part.crnn_interface import LPRNmodel_predict
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# from CRNN_part.crnn_interface import LPRNinitialize_model
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class CameraThread(QThread):
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"""摄像头线程类"""
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frame_ready = pyqtSignal(np.ndarray)
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def __init__(self):
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super().__init__()
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self.camera = None
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self.running = False
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def start_camera(self):
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"""启动摄像头"""
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self.camera = cv2.VideoCapture(0)
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if self.camera.isOpened():
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self.running = True
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self.start()
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return True
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return False
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def stop_camera(self):
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"""停止摄像头"""
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self.running = False
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if self.camera:
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self.camera.release()
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self.quit()
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self.wait()
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def run(self):
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"""线程运行函数"""
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while self.running:
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if self.camera and self.camera.isOpened():
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ret, frame = self.camera.read()
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if ret:
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self.frame_ready.emit(frame)
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self.msleep(30) # 约30fps
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class LicensePlateWidget(QWidget):
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"""单个车牌结果显示组件"""
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def __init__(self, plate_id, class_name, corrected_image, plate_number):
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super().__init__()
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self.plate_id = plate_id
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self.init_ui(class_name, corrected_image, plate_number)
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def init_ui(self, class_name, corrected_image, plate_number):
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layout = QHBoxLayout()
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layout.setContentsMargins(10, 5, 10, 5)
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# 车牌类型标签
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type_label = QLabel(class_name)
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type_label.setFixedWidth(60)
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type_label.setAlignment(Qt.AlignCenter)
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type_label.setStyleSheet(
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"QLabel { "
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"background-color: #4CAF50 if class_name == '绿牌' else #2196F3; "
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"color: white; "
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"border-radius: 5px; "
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"padding: 5px; "
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"font-weight: bold; "
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"}"
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)
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if class_name == '绿牌':
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type_label.setStyleSheet(
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"QLabel { "
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"background-color: #4CAF50; "
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"color: white; "
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"border-radius: 5px; "
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"padding: 5px; "
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"font-weight: bold; "
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"}"
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)
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else:
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type_label.setStyleSheet(
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"QLabel { "
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"background-color: #2196F3; "
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"color: white; "
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"border-radius: 5px; "
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"padding: 5px; "
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"font-weight: bold; "
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"}"
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)
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# 矫正后的车牌图像
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image_label = QLabel()
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image_label.setFixedSize(120, 40)
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image_label.setStyleSheet("border: 1px solid #ddd; background-color: white;")
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if corrected_image is not None:
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# 转换numpy数组为QPixmap
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h, w = corrected_image.shape[:2]
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if len(corrected_image.shape) == 3:
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bytes_per_line = 3 * w
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q_image = QImage(corrected_image.data, w, h, bytes_per_line, QImage.Format_RGB888).rgbSwapped()
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else:
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bytes_per_line = w
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q_image = QImage(corrected_image.data, w, h, bytes_per_line, QImage.Format_Grayscale8)
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pixmap = QPixmap.fromImage(q_image)
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scaled_pixmap = pixmap.scaled(120, 40, Qt.KeepAspectRatio, Qt.SmoothTransformation)
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image_label.setPixmap(scaled_pixmap)
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else:
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image_label.setText("车牌未完全\n进入摄像头")
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image_label.setAlignment(Qt.AlignCenter)
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image_label.setStyleSheet("border: 1px solid #ddd; background-color: #f5f5f5; color: #666;")
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# 车牌号标签
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number_label = QLabel(plate_number)
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number_label.setFixedWidth(150)
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number_label.setAlignment(Qt.AlignCenter)
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number_label.setStyleSheet(
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"QLabel { "
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"border: 1px solid #ddd; "
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"background-color: white; "
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"padding: 8px; "
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"font-family: 'Courier New'; "
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"font-size: 14px; "
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"font-weight: bold; "
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"}"
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)
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layout.addWidget(type_label)
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layout.addWidget(image_label)
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layout.addWidget(number_label)
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layout.addStretch()
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self.setLayout(layout)
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self.setStyleSheet(
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"QWidget { "
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"background-color: white; "
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"border: 1px solid #e0e0e0; "
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"border-radius: 8px; "
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"margin: 2px; "
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"}"
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)
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class MainWindow(QMainWindow):
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"""主窗口类"""
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def __init__(self):
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super().__init__()
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self.detector = None
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self.camera_thread = None
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self.current_frame = None
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self.detections = []
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self.init_ui()
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self.init_detector()
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self.init_camera()
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# 初始化OCR/CRNN模型（函数名改成一样的了，所以不要修改这里了，想用哪个模块直接导入）
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LPRNinitialize_model()
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def init_ui(self):
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"""初始化用户界面"""
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self.setWindowTitle("车牌识别系统")
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self.setGeometry(100, 100, 1200, 800)
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# 创建中央widget
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central_widget = QWidget()
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self.setCentralWidget(central_widget)
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# 创建主布局
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main_layout = QHBoxLayout(central_widget)
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# 左侧摄像头显示区域
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left_frame = QFrame()
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left_frame.setFrameStyle(QFrame.StyledPanel)
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left_frame.setStyleSheet("QFrame { background-color: #f0f0f0; border: 2px solid #ddd; }")
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left_layout = QVBoxLayout(left_frame)
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# 摄像头显示标签
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self.camera_label = QLabel()
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self.camera_label.setMinimumSize(640, 480)
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self.camera_label.setStyleSheet("QLabel { background-color: black; border: 1px solid #ccc; }")
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self.camera_label.setAlignment(Qt.AlignCenter)
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self.camera_label.setText("摄像头未启动")
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self.camera_label.setScaledContents(True)
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# 控制按钮
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button_layout = QHBoxLayout()
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self.start_button = QPushButton("启动摄像头")
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self.stop_button = QPushButton("停止摄像头")
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self.start_button.clicked.connect(self.start_camera)
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self.stop_button.clicked.connect(self.stop_camera)
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self.stop_button.setEnabled(False)
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button_layout.addWidget(self.start_button)
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button_layout.addWidget(self.stop_button)
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button_layout.addStretch()
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left_layout.addWidget(self.camera_label)
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left_layout.addLayout(button_layout)
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# 右侧结果显示区域
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right_frame = QFrame()
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right_frame.setFrameStyle(QFrame.StyledPanel)
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right_frame.setFixedWidth(400)
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right_frame.setStyleSheet("QFrame { background-color: #fafafa; border: 2px solid #ddd; }")
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right_layout = QVBoxLayout(right_frame)
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# 标题
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title_label = QLabel("检测结果")
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title_label.setAlignment(Qt.AlignCenter)
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title_label.setFont(QFont("Arial", 16, QFont.Bold))
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title_label.setStyleSheet("QLabel { color: #333; padding: 10px; }")
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# 车牌数量显示
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self.count_label = QLabel("识别到的车牌数量: 0")
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self.count_label.setAlignment(Qt.AlignCenter)
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self.count_label.setFont(QFont("Arial", 12))
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self.count_label.setStyleSheet(
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"QLabel { "
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"background-color: #e3f2fd; "
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"border: 1px solid #2196f3; "
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"border-radius: 5px; "
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"padding: 8px; "
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"color: #1976d2; "
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"font-weight: bold; "
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"}"
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)
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# 滚动区域用于显示车牌结果
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scroll_area = QScrollArea()
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scroll_area.setWidgetResizable(True)
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scroll_area.setStyleSheet("QScrollArea { border: none; background-color: transparent; }")
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self.results_widget = QWidget()
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self.results_layout = QVBoxLayout(self.results_widget)
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self.results_layout.setAlignment(Qt.AlignTop)
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scroll_area.setWidget(self.results_widget)
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right_layout.addWidget(title_label)
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right_layout.addWidget(self.count_label)
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right_layout.addWidget(scroll_area)
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# 添加到主布局
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main_layout.addWidget(left_frame, 2)
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main_layout.addWidget(right_frame, 1)
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# 设置样式
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self.setStyleSheet("""
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QMainWindow {
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background-color: #f5f5f5;
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}
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QPushButton {
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background-color: #2196F3;
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color: white;
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border: none;
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padding: 8px 16px;
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border-radius: 4px;
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font-weight: bold;
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}
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QPushButton:hover {
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background-color: #1976D2;
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}
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QPushButton:pressed {
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background-color: #0D47A1;
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}
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QPushButton:disabled {
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background-color: #cccccc;
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color: #666666;
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}
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""")
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def init_detector(self):
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"""初始化检测器"""
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model_path = os.path.join(os.path.dirname(__file__), "yolopart", "yolo11s-pose42.pt")
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self.detector = LicensePlateYOLO(model_path)
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def init_camera(self):
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"""初始化摄像头线程"""
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self.camera_thread = CameraThread()
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self.camera_thread.frame_ready.connect(self.process_frame)
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def start_camera(self):
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"""启动摄像头"""
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if self.camera_thread.start_camera():
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self.start_button.setEnabled(False)
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self.stop_button.setEnabled(True)
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self.camera_label.setText("摄像头启动中...")
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else:
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self.camera_label.setText("摄像头启动失败")
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def stop_camera(self):
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"""停止摄像头"""
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self.camera_thread.stop_camera()
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self.start_button.setEnabled(True)
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self.stop_button.setEnabled(False)
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self.camera_label.setText("摄像头已停止")
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self.camera_label.clear()
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def process_frame(self, frame):
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"""处理摄像头帧"""
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self.current_frame = frame.copy()
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# 进行车牌检测
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self.detections = self.detector.detect_license_plates(frame)
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# 在图像上绘制检测结果
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display_frame = self.draw_detections(frame.copy())
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# 转换为Qt格式并显示
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self.display_frame(display_frame)
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# 更新右侧结果显示
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self.update_results_display()
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def draw_detections(self, frame):
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"""在图像上绘制检测结果"""
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return self.detector.draw_detections(frame, self.detections)
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def display_frame(self, frame):
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"""显示帧到界面"""
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rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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h, w, ch = rgb_frame.shape
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bytes_per_line = ch * w
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qt_image = QImage(rgb_frame.data, w, h, bytes_per_line, QImage.Format_RGB888)
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pixmap = QPixmap.fromImage(qt_image)
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scaled_pixmap = pixmap.scaled(self.camera_label.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation)
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self.camera_label.setPixmap(scaled_pixmap)
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def update_results_display(self):
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"""更新右侧结果显示"""
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# 更新车牌数量
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count = len(self.detections)
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self.count_label.setText(f"识别到的车牌数量: {count}")
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# 清除之前的结果
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for i in reversed(range(self.results_layout.count())):
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child = self.results_layout.itemAt(i).widget()
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if child:
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child.setParent(None)
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# 添加新的结果
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for i, detection in enumerate(self.detections):
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# 矫正车牌图像
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corrected_image = self.correct_license_plate(detection)
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# 获取车牌号（占位）
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plate_number = self.recognize_plate_number(corrected_image)
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# 创建车牌显示组件
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plate_widget = LicensePlateWidget(
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i + 1,
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detection['class_name'],
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corrected_image,
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plate_number
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)
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self.results_layout.addWidget(plate_widget)
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def correct_license_plate(self, detection):
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"""矫正车牌图像"""
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if self.current_frame is None:
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return None
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# 检查是否为不完整检测
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if detection.get('incomplete', False):
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return None
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# 使用检测器的矫正方法
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return self.detector.correct_license_plate(
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self.current_frame,
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detection['keypoints']
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)
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def recognize_plate_number(self, corrected_image):
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"""识别车牌号"""
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if corrected_image is None:
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return "识别失败"
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try:
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# 预测函数（来自模块）
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# 函数名改成一样的了，所以不要修改这里了，想用哪个模块直接导入
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result = LPRNmodel_predict(corrected_image)
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# 将字符列表转换为字符串
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if isinstance(result, list) and len(result) >= 7:
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return ''.join(result[:7])
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else:
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return "识别失败"
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except Exception as e:
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print(f"车牌号识别失败: {e}")
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return "识别失败"
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def closeEvent(self, event):
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"""窗口关闭事件"""
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if self.camera_thread:
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self.camera_thread.stop_camera()
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event.accept()
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def main():
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app = QApplication(sys.argv)
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window = MainWindow()
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window.show()
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sys.exit(app.exec_())
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if __name__ == "__main__":
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main() |