feat: add ControlPanelWidget for application UI

control_panel_widget.py

@@ -0,0 +1,403 @@
+import os
+import tempfile
+import cv2
+from PyQt5.QtWidgets import (QWidget, QVBoxLayout, QHBoxLayout, QLabel, 
+
+                            QPushButton, QComboBox, QRadioButton, QButtonGroup,
+                            QFileDialog, QTextEdit, QGroupBox, QFrame, QScrollArea)
+from PyQt5.QtCore import Qt, pyqtSignal, QTimer
+from PyQt5.QtGui import QFont, QPalette
+
+class ControlPanelWidget(QScrollArea):
+    video_selected = pyqtSignal(str)
+    start_comparison = pyqtSignal(str)
+    stop_comparison = pyqtSignal()
+    initialize_system = pyqtSignal()
+    
+    def __init__(self, motion_app):
+        super().__init__()
+        self.motion_app = motion_app
+        self.current_video_path = None
+        self.setup_ui()
+        
+    def setup_ui(self):
+        # Create main widget for scroll area
+        main_widget = QWidget()
+        main_layout = QVBoxLayout(main_widget)
+        main_layout.setSpacing(10)
+        main_layout.setContentsMargins(15, 15, 15, 15)
+        
+
+        # Title
+        title_label = QLabel("🎛️ 控制面板")
+        title_font = QFont()
+        title_font.setPointSize(14)
+        title_font.setBold(True)
+        title_label.setFont(title_font)
+        main_layout.addWidget(title_label)
+        
+        # Add separator
+        separator = QFrame()
+
+        separator.setFrameShape(QFrame.HLine)
+
+        separator.setFrameShadow(QFrame.Sunken)
+        main_layout.addWidget(separator)
+
+        
+        # Display settings group
+
+        self.setup_display_settings(main_layout)
+
+        
+        # Video source selection group
+        self.setup_video_source(main_layout)
+        
+        # System initialization group
+        self.setup_system_init(main_layout)
+        
+        # System status group
+        self.setup_system_status(main_layout)
+        
+        # Stretch to push everything to top
+        main_layout.addStretch()
+        
+        # Set scroll area properties
+        self.setWidget(main_widget)
+        self.setWidgetResizable(True)
+        self.setVerticalScrollBarPolicy(Qt.ScrollBarAsNeeded)
+        self.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
+        
+        # Style the scroll area
+        self.setStyleSheet("""
+
+            QScrollArea {
+
+                border: none;
+                background-color: #ffffff;
+
+            }
+            QGroupBox {
+                font-weight: bold;
+                border: 2px solid #cccccc;
+                border-radius: 5px;
+                margin-top: 10px;
+                padding-top: 10px;
+            }
+            QGroupBox::title {
+                subcontrol-origin: margin;
+                left: 10px;
+                padding: 0 10px 0 10px;
+            }
+        """)
+    
+    def setup_display_settings(self, parent_layout):
+        group = QGroupBox("显示设置")
+        layout = QVBoxLayout(group)
+        
+
+        # Resolution selection
+        res_label = QLabel("显示分辨率:")
+        self.resolution_combo = QComboBox()
+        self.resolution_combo.addItems([
+            "高清 (1280x800)",
+            "中等 (960x720)",
+            "标准 (640x480)"
+        ])
+
+        self.resolution_combo.setCurrentIndex(1)  # Default to medium
+        self.resolution_combo.currentTextChanged.connect(self.on_resolution_changed)
+        
+
+        layout.addWidget(res_label)
+        layout.addWidget(self.resolution_combo)
+
+        
+        parent_layout.addWidget(group)
+
+    
+    def setup_video_source(self, parent_layout):
+
+        group = QGroupBox("视频来源")
+        layout = QVBoxLayout(group)
+        
+        # Radio buttons for video source
+        self.video_source_group = QButtonGroup()
+        self.preset_radio = QRadioButton("预设视频")
+        self.upload_radio = QRadioButton("上传视频")
+        self.preset_radio.setChecked(True)
+        
+        self.video_source_group.addButton(self.preset_radio, 0)
+        self.video_source_group.addButton(self.upload_radio, 1)
+        
+        layout.addWidget(self.preset_radio)
+        layout.addWidget(self.upload_radio)
+        
+        # Preset video selection
+        self.preset_combo = QComboBox()
+        
+        # --- FIX STARTS HERE ---
+
+        # The incorrect call to self.load_preset_videos() has been removed from here.
+        # --- FIX ENDS HERE ---
+        
+        # Upload button
+        self.upload_button = QPushButton("选择文件...")
+        self.upload_button.clicked.connect(self.upload_video)
+        self.upload_button.setEnabled(False)
+        
+        # Video info display - This is now created BEFORE it is used.
+        self.video_info = QLabel("未选择视频")
+
+        self.video_info.setWordWrap(True)
+        self.video_info.setStyleSheet("color: #666; font-size: 9pt;")
+        
+        layout.addWidget(self.preset_combo)
+        layout.addWidget(self.upload_button)
+        layout.addWidget(self.video_info)
+        
+        # Connect signals
+        self.preset_radio.toggled.connect(self.on_video_source_changed)
+        self.preset_combo.currentTextChanged.connect(self.on_preset_video_changed)
+        
+        parent_layout.addWidget(group)
+        
+        # Load available presets after all UI elements are set up. This is the correct place.
+        self.load_preset_videos()
+    
+    def setup_system_init(self, parent_layout):
+        group = QGroupBox("⚙️ 系统初始化")
+
+        layout = QVBoxLayout(group)
+        
+        self.init_button = QPushButton("🚀 初始化系统")
+        self.init_button.clicked.connect(self.initialize_system_clicked)
+        self.init_button.setMinimumHeight(40)
+        self.init_button.setStyleSheet("""
+            QPushButton {
+                background-color: #0086d3;
+                color: white;
+                border: none;
+                border-radius: 5px;
+                font-weight: bold;
+            }
+            QPushButton:hover {
+                background-color: #006ba3;
+            }
+            QPushButton:pressed {
+                background-color: #004d73;
+            }
+        """)
+
+        
+        # Control buttons
+
+        button_layout = QHBoxLayout()
+
+        
+        self.preview_button = QPushButton("📷 预览")
+
+        self.start_button = QPushButton("🚀 开始比较")
+        
+
+        self.preview_button.clicked.connect(self.preview_camera)
+        self.start_button.clicked.connect(self.start_comparison_clicked)
+        
+        self.preview_button.setEnabled(False)
+        self.start_button.setEnabled(False)
+        
+        button_layout.addWidget(self.preview_button)
+
+        button_layout.addWidget(self.start_button)
+        
+        layout.addWidget(self.init_button)
+        layout.addLayout(button_layout)
+        
+
+        parent_layout.addWidget(group)
+    
+    def setup_system_status(self, parent_layout):
+        group = QGroupBox("ℹ️ 系统状态")
+        layout = QVBoxLayout(group)
+
+        
+        self.status_info = QTextEdit()
+        self.status_info.setMaximumHeight(100)
+
+        self.status_info.setReadOnly(True)
+        self.update_system_status()
+        
+
+        layout.addWidget(self.status_info)
+
+        parent_layout.addWidget(group)
+    
+    def load_preset_videos(self):
+        preset_videos = {
+            "六字诀": "liuzi.mp4",
+            "六字诀精简": "liuzi-short.mp4",
+        }
+        
+        preset_folder = "preset_videos"
+
+        if os.path.exists(preset_folder):
+
+            available_presets = []
+            for display_name, filename in preset_videos.items():
+                full_path = os.path.join(preset_folder, filename)
+                if os.path.exists(full_path):
+                    available_presets.append(display_name)
+            
+            self.preset_combo.clear() # Clear previous items before adding new ones
+            if available_presets:
+                self.preset_combo.addItems(available_presets)
+
+                # Set default selection
+                if available_presets:
+                    self.on_preset_video_changed(available_presets[0])
+            else:
+                self.preset_combo.addItem("无可用预设视频")
+        else:
+
+            self.preset_combo.addItem("preset_videos 文件夹不存在")
+    
+    def on_video_source_changed(self, checked):
+        if self.preset_radio.isChecked():
+            self.preset_combo.setEnabled(True)
+            self.upload_button.setEnabled(False)
+            if self.preset_combo.count() > 0 and self.preset_combo.currentText() != "无可用预设视频":
+                self.on_preset_video_changed(self.preset_combo.currentText())
+        else:
+            self.preset_combo.setEnabled(False)
+            self.upload_button.setEnabled(True)
+            self.current_video_path = None
+            self.video_info.setText("请选择上传文件")
+
+    
+
+    def on_preset_video_changed(self, display_name):
+        preset_videos = {
+            "六字诀": "liuzi.mp4",
+            "六字诀精简": "liuzi-short.mp4",
+        }
+        
+        if display_name in preset_videos:
+
+            filename = preset_videos[display_name]
+
+            video_path = os.path.join("preset_videos", filename)
+
+            if os.path.exists(video_path):
+                self.current_video_path = video_path
+                self.update_video_info()
+                self.video_selected.emit(video_path)
+            else:
+                self.video_info.setText("视频文件不存在")
+    
+    def upload_video(self):
+        file_path, _ = QFileDialog.getOpenFileName(
+            self, "选择视频文件", "", 
+            "Video Files (*.mp4 *.avi *.mov *.mkv);;All Files (*)"
+
+        )
+        
+
+        if file_path:
+            self.current_video_path = file_path
+
+            self.update_video_info()
+            self.video_selected.emit(file_path)
+
+    
+
+    def update_video_info(self):
+
+        if self.current_video_path:
+
+            try:
+                cap = cv2.VideoCapture(self.current_video_path)
+                if cap.isOpened():
+                    fps = cap.get(cv2.CAP_PROP_FPS)
+                    frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
+                    duration = frame_count / fps if fps > 0 else 0
+                    width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
+                    height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
+                    
+
+                    info_text = f"时长: {duration:.1f}s\n帧率: {fps:.1f}\n分辨率: {width}×{height}"
+
+                    self.video_info.setText(info_text)
+                    cap.release()
+                else:
+                    self.video_info.setText("无法读取视频信息")
+            except Exception as e:
+                self.video_info.setText(f"错误: {str(e)}")
+        else:
+            self.video_info.setText("未选择视频")
+
+    
+    def on_resolution_changed(self, text):
+
+        resolution_map = {
+
+            "高清 (1280x800)": "high",
+            "中等 (960x720)": "medium", 
+            "标准 (640x480)": "low"
+
+        }
+        mode = resolution_map.get(text, "medium")
+        self.motion_app.display_settings['resolution_mode'] = mode
+    
+    def initialize_system_clicked(self):
+        self.init_button.setEnabled(False)
+
+        self.init_button.setText("正在初始化...")
+        
+
+        # Enable this after successful initialization
+        QTimer.singleShot(100, self.do_initialize)
+    
+    def do_initialize(self):
+        success = self.motion_app.initialize_all()
+
+        
+        if success:
+            self.init_button.setText("✅ 初始化完成")
+            self.preview_button.setEnabled(True)
+            if self.current_video_path:
+                self.start_button.setEnabled(True)
+
+            self.update_system_status()
+        else:
+
+            self.init_button.setText("❌ 初始化失败")
+
+            self.init_button.setEnabled(True)
+    
+    def preview_camera(self):
+
+        # Emit signal to show camera preview
+
+        pass
+
+    
+    def start_comparison_clicked(self):
+        if self.current_video_path:
+            self.start_comparison.emit(self.current_video_path)
+    
+    def update_system_status(self):
+
+        import torch
+        from config import REALSENSE_AVAILABLE, PYGAME_AVAILABLE
+        
+
+        status_text = f"""计算设备: {'GPU (CUDA)' if torch.cuda.is_available() else 'CPU'}
+摄像头: {'RealSense' if REALSENSE_AVAILABLE else 'USB 摄像头'}  
+音频: {'启用' if PYGAME_AVAILABLE else '禁用'}
+检测器: {'已初始化' if self.motion_app.body_detector else '未初始化'}"""
+        
+
+        self.status_info.setText(status_text)
+
+
+

main_qt.py

@@ -0,0 +1,27 @@
+#!/usr/bin/env python3
+"""
+Qt版本的动作比较与姿态分析系统
+"""
+
+import sys
+import os
+import torch
+
+# Add current directory to path for imports
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+# Set environment variables for performance
+os.environ['OMP_NUM_THREADS'] = '1'
+os.environ['MKL_NUM_THREADS'] = '1'
+
+try:
+    torch.set_num_threads(1)
+except:
+    pass
+
+# Set Qt path workaround for torch
+torch.classes.__path__ = [os.path.join(torch.__path__[0], 'classes')]
+
+if __name__ == "__main__":
+    from qt_main import main
+    main()

motion_app.py

@@ -12,85 +12,6 @@ from audio_player import AudioPlayer
 from pose_analyzer import PoseSimilarityAnalyzer
 from config import REALSENSE_AVAILABLE
 
-def draw_skeleton_with_similarity(img, keypoints, scores, joint_similarities=None, openpose_skeleton=True, kpt_thr=0.43, line_width=2):
-    """
-    自定义骨骼绘制函数，根据关节相似度设置颜色
-    相似度 > 90: 绿色
-    相似度 80-90: 黄色
-    相似度 < 80: 红色
-    
-    支持多人检测，将绘制所有检测到的人体骨骼
-    """
-    if keypoints is None or len(keypoints) == 0:
-        return img
-    
-    # OpenPose连接关系
-    skeleton = [
-        [1, 0], [1, 2], [1, 5], [2, 3], [3, 4], [5, 6], [6, 7], 
-        [1, 8], [8, 9], [9, 10], [1, 11], [11, 12], [12, 13], 
-        [0, 14], [0, 15], [14, 16], [15, 17]
-    ]
-    
-    # 关节与关节角度的映射
-    joint_to_angle_mapping = {
-        (2, 3): 'left_shoulder', (3, 4): 'left_elbow',
-        (5, 6): 'right_shoulder', (6, 7): 'right_elbow',
-        (8, 9): 'left_hip', (9, 10): 'left_knee',
-        (11, 12): 'right_hip', (12, 13): 'right_knee'
-    }
-    
-    # 骨骼的默认颜色
-    default_color = (0, 255, 255)  # 黄色
-    
-    # 确保keypoints和scores的形状正确，处理多人情况
-    if len(keypoints.shape) == 2:
-        keypoints = keypoints[None, :, :]
-        scores = scores[None, :, :]
-    
-    # 遍历所有人
-    num_instances = keypoints.shape[0]
-    for person_idx in range(num_instances):
-        person_kpts = keypoints[person_idx]
-        person_scores = scores[person_idx]
-        
-        # 绘制骨骼
-        for limb_id, limb in enumerate(skeleton):
-            joint_a, joint_b = limb
-            
-            if joint_a >= len(person_scores) or joint_b >= len(person_scores):
-                continue
-                
-            if person_scores[joint_a] < kpt_thr or person_scores[joint_b] < kpt_thr:
-                continue
-                
-            x_a, y_a = person_kpts[joint_a]
-            x_b, y_b = person_kpts[joint_b]
-            
-            # 确定线条颜色
-            color = default_color
-            if joint_similarities is not None:
-                # 检查这个连接是否有对应的关节角度
-                if (joint_a, joint_b) in joint_to_angle_mapping:
-                    angle_name = joint_to_angle_mapping[(joint_a, joint_b)]
-                    if angle_name in joint_similarities:
-                        similarity = joint_similarities[angle_name]
-                        if similarity > 90:
-                            color = (0, 255, 0)  # 绿色
-                        elif similarity > 80:
-                            color = (0, 255, 255)  # 黄色
-                        else:
-                            color = (0, 0, 255)  # 红色
-            
-            cv2.line(img, (int(x_a), int(y_a)), (int(x_b), int(y_b)), color, thickness=line_width)
-        
-        # 绘制关键点
-        for kpt_id, (x, y) in enumerate(person_kpts):
-            if person_scores[kpt_id] < kpt_thr:
-                continue
-            cv2.circle(img, (int(x), int(y)), 3, (255, 0, 255), -1)
-    
-    return img
-
 if REALSENSE_AVAILABLE:
     import pyrealsense2 as rs
 
@@ -198,7 +119,7 @@ class MotionComparisonApp:
         if self.body_detector:
             try:
                 keypoints, scores = self.body_detector(frame)
-                frame = draw_skeleton_with_similarity(frame.copy(), keypoints, scores, joint_similarities=None, openpose_skeleton=True, kpt_thr=0.43, line_width=1)
+                frame = draw_skeleton(frame.copy(), keypoints, scores, openpose_skeleton=True, kpt_thr=0.43)
             except Exception: pass
         
         return cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
@@ -420,17 +341,9 @@ class MotionComparisonApp:
             # --- 绘制与显示 (可以保持原来的逻辑，只修改UI更新部分) ---
             try:
 
-                # 计算关节相似度
-                joint_similarities = None
-                if standard_keypoints is not None and webcam_keypoints is not None:
-                    standard_angles = self.similarity_analyzer.extract_joint_angles(standard_keypoints, standard_scores)
-                    webcam_angles = self.similarity_analyzer.extract_joint_angles(webcam_keypoints, webcam_scores)
-                    if standard_angles and webcam_angles:
-                        joint_similarities = self.similarity_analyzer.calculate_joint_similarities(standard_angles, webcam_angles)
-                
-                # 绘制骨骼 (线条更窄，根据相似度设置颜色)
-                standard_with_keypoints = draw_skeleton_with_similarity(standard_frame.copy(), standard_keypoints, standard_scores, joint_similarities=None, openpose_skeleton=True, kpt_thr=0.43, line_width=1)
-                webcam_with_keypoints = draw_skeleton_with_similarity(webcam_frame.copy(), webcam_keypoints, webcam_scores, joint_similarities=joint_similarities, openpose_skeleton=True, kpt_thr=0.43, line_width=1)
+                # 绘制骨骼
+                standard_with_keypoints = draw_skeleton(standard_frame.copy(), standard_keypoints, standard_scores, openpose_skeleton=True, kpt_thr=0.43)
+                webcam_with_keypoints = draw_skeleton(webcam_frame.copy(), webcam_keypoints, webcam_scores, openpose_skeleton=True, kpt_thr=0.43)
                 
                 # 更新视频画面 (主线程专注于实时显示)
                 standard_placeholder.image(cv2.cvtColor(standard_with_keypoints, cv2.COLOR_BGR2RGB), use_container_width=True)

motion_app_qt.py

@@ -0,0 +1,145 @@
+import cv2
+import time
+import os
+import numpy as np
+import torch
+import threading
+import queue
+from rtmlib import Body, draw_skeleton
+
+from audio_player import AudioPlayer
+from pose_analyzer import PoseSimilarityAnalyzer
+from config import REALSENSE_AVAILABLE
+
+if REALSENSE_AVAILABLE:
+    import pyrealsense2 as rs
+
+class MotionComparisonAppQt:
+    """Qt version of the motion comparison application."""
+    
+    def __init__(self):
+        self.body_detector = None
+        self.is_running = False
+        self.standard_video_path = None
+        self.webcam_cap = None
+        self.standard_cap = None
+        self.similarity_analyzer = PoseSimilarityAnalyzer()
+        self.frame_counter = 0
+        self.audio_player = AudioPlayer()
+        
+        self.display_settings = {'resolution_mode': 'medium', 'target_width': 960, 'target_height': 720}
+        self.realsense_pipeline = None
+        self.is_realsense_active = False
+        self.last_error_time = 0
+        self.error_count = 0
+        
+        # Async processing components
+        self.pose_data_queue = queue.Queue(maxsize=50)
+        self.similarity_thread = None
+        self.similarity_stop_flag = threading.Event()
+
+    def get_display_resolution(self):
+        modes = {'high': (1280, 800), 'medium': (960, 720), 'low': (640, 480)}
+        mode = self.display_settings.get('resolution_mode', 'medium')
+        return modes.get(mode, (960, 720))
+
+    def initialize_detector(self):
+        if self.body_detector is None:
+            try:
+                device = 'cuda' if torch.cuda.is_available() else 'cpu'
+                self.body_detector = Body(mode='lightweight', to_openpose=True, backend='onnxruntime', device=device)
+                print(f"Keypoint detector initialized on device: {device}")
+                return True
+            except Exception as e:
+                print(f"Detector initialization failed: {e}")
+                return False
+        return True
+
+    def initialize_camera(self):
+        if REALSENSE_AVAILABLE:
+            try:
+                self.realsense_pipeline = rs.pipeline()
+                config = rs.config()
+                width, height = self.get_display_resolution()
+                config.enable_stream(rs.stream.color, width, height, rs.format.bgr8, 30)
+                profile = self.realsense_pipeline.start(config)
+                device = profile.get_device().get_info(rs.camera_info.name)
+                print(f"✅ RealSense摄像头初始化成功: {device} ({width}x{height})")
+                self.is_realsense_active = True
+                return True
+            except Exception as e:
+                print(f"RealSense初始化失败: {e}. 切换到USB摄像头.")
+                return self._initialize_webcam()
+        else:
+            return self._initialize_webcam()
+
+    def _initialize_webcam(self):
+        try:
+            self.webcam_cap = cv2.VideoCapture(0)
+            if self.webcam_cap.isOpened():
+                self.webcam_cap.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'))
+                width, height = self.get_display_resolution()
+                self.webcam_cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
+                self.webcam_cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
+                self.webcam_cap.set(cv2.CAP_PROP_FPS, 30)
+                actual_w = int(self.webcam_cap.get(cv2.CAP_PROP_FRAME_WIDTH))
+                actual_h = int(self.webcam_cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
+                print(f"✅ USB摄像头初始化成功 ({actual_w}x{actual_h})")
+                return True
+            else:
+                print("❌ 无法打开USB摄像头")
+                return False
+        except Exception as e:
+            print(f"❌ USB摄像头初始化失败: {e}")
+            return False
+
+    def initialize_all(self):
+        """Initialize both detector and camera."""
+        detector_success = self.initialize_detector()
+        camera_success = self.initialize_camera()
+        return detector_success and camera_success
+
+    def read_camera_frame(self):
+        if self.is_realsense_active and self.realsense_pipeline:
+            try:
+                frames = self.realsense_pipeline.wait_for_frames(timeout_ms=1000)
+                color_frame = frames.get_color_frame()
+                if not color_frame: 
+                    return False, None
+                return True, np.asanyarray(color_frame.get_data())
+            except Exception:
+                return False, None
+        elif self.webcam_cap and self.webcam_cap.isOpened():
+            return self.webcam_cap.read()
+        return False, None
+
+    def get_camera_preview_frame(self):
+        ret, frame = self.read_camera_frame()
+        if not ret or frame is None: 
+            return None
+        
+        frame = cv2.flip(frame, 1)
+        if self.body_detector:
+            try:
+                keypoints, scores = self.body_detector(frame)
+                frame = draw_skeleton(frame.copy(), keypoints, scores, openpose_skeleton=True, kpt_thr=0.43)
+            except Exception: 
+                pass
+        
+        return cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+
+    def cleanup(self):
+        """Cleans up all resources."""
+        # Stop similarity calculation thread
+        if self.similarity_thread and self.similarity_thread.is_alive():
+            self.similarity_stop_flag.set()
+            self.similarity_thread.join(timeout=2)
+        
+        if self.standard_cap: 
+            self.standard_cap.release()
+        if self.webcam_cap: 
+            self.webcam_cap.release()
+        if self.is_realsense_active and self.realsense_pipeline: 
+            self.realsense_pipeline.stop()
+        self.audio_player.cleanup()
+        self.is_running = False

pose_analyzer.py

@@ -93,19 +93,6 @@ class PoseSimilarityAnalyzer:
             
         final_similarity = (weighted_similarity / total_weight) * 100 if total_weight > 0 else 0
         return min(max(final_similarity, 0), 100)
-        
-    def calculate_joint_similarities(self, angles1, angles2):
-        """计算每个关节的相似度"""
-        joint_similarities = {}
-        if not angles1 or not angles2: return joint_similarities
-        
-        common_joints = set(angles1.keys()) & set(angles2.keys())
-        for joint in common_joints:
-            angle_diff = abs(angles1[joint] - angles2[joint])
-            similarity = math.exp(-(angle_diff ** 2) / (2 * (30 ** 2)))
-            joint_similarities[joint] = min(max(similarity * 100, 0), 100)
-        
-        return joint_similarities
 
     def add_similarity_score(self, score, timestamp=None):
         """Adds a similarity score to the history."""

qt_main.py

@@ -0,0 +1,49 @@
+import sys
+import os
+from PyQt5.QtWidgets import QApplication, QMainWindow, QHBoxLayout, QVBoxLayout, QWidget
+from PyQt5.QtCore import Qt, QTimer
+from PyQt5.QtGui import QIcon
+
+from qt_widgets import MainWidget
+from motion_app_qt import MotionComparisonAppQt
+
+class MainWindow(QMainWindow):
+    def __init__(self):
+        super().__init__()
+        self.setWindowTitle("🏃 动作比较与姿态分析系统")
+        self.setGeometry(100, 100, 1400, 900)
+        
+        # Set application icon if available
+        if os.path.exists("icon.ico"):
+            self.setWindowIcon(QIcon("icon.ico"))
+        
+        # Create main widget
+        self.main_widget = MainWidget()
+        self.setCentralWidget(self.main_widget)
+        
+        # Apply dark theme styling
+        self.setStyleSheet("""
+            QMainWindow {
+                background-color: #f0f2f6;
+            }
+            QWidget {
+                font-family: "Segoe UI", Arial, sans-serif;
+                font-size: 10pt;
+            }
+        """)
+
+def main():
+    app = QApplication(sys.argv)
+    app.setStyle('Fusion')  # Modern look
+    
+    # Set application properties
+    app.setApplicationName("Motion Comparison App")
+    app.setApplicationVersion("1.0")
+    
+    window = MainWindow()
+    window.show()
+    
+    sys.exit(app.exec_())
+
+if __name__ == "__main__":
+    main()

qt_widgets.py

@@ -0,0 +1,73 @@
+import os
+import tempfile
+import cv2
+import numpy as np
+from PyQt5.QtWidgets import (QWidget, QVBoxLayout, QHBoxLayout, QLabel, 
+                            QPushButton, QComboBox, QRadioButton, QButtonGroup,
+                            QFileDialog, QTextEdit, QProgressBar, QFrame,
+                            QScrollArea, QGroupBox, QGridLayout, QSlider,
+                            QSpinBox, QCheckBox, QTabWidget, QSplitter)
+from PyQt5.QtCore import Qt, QThread, pyqtSignal, QTimer, QMutex, QMutexLocker
+from PyQt5.QtGui import QPixmap, QImage, QPalette, QFont, QMovie
+
+from motion_app_qt import MotionComparisonAppQt
+from video_display_widget import VideoDisplayWidget
+from similarity_display_widget import SimilarityDisplayWidget
+from control_panel_widget import ControlPanelWidget
+
+class MainWidget(QWidget):
+    def __init__(self):
+        super().__init__()
+        self.motion_app = MotionComparisonAppQt()
+        self.setup_ui()
+        
+    def setup_ui(self):
+        # Main layout - horizontal splitter
+        main_splitter = QSplitter(Qt.Horizontal)
+        
+        # Control panel (sidebar) - fixed width
+        self.control_panel = ControlPanelWidget(self.motion_app)
+        self.control_panel.setMinimumWidth(300)
+        self.control_panel.setMaximumWidth(350)
+        
+        # Main content area
+        content_widget = QWidget()
+        content_layout = QVBoxLayout(content_widget)
+        
+        # Video display area - priority for real-time performance
+        self.video_display = VideoDisplayWidget(self.motion_app)
+        content_layout.addWidget(self.video_display, stretch=2)
+        
+        # Similarity analysis area - can have latency
+        self.similarity_display = SimilarityDisplayWidget(self.motion_app)
+        content_layout.addWidget(self.similarity_display, stretch=1)
+        
+        # Add widgets to splitter
+        main_splitter.addWidget(self.control_panel)
+        main_splitter.addWidget(content_widget)
+        main_splitter.setStretchFactor(0, 0)  # Control panel fixed
+        main_splitter.setStretchFactor(1, 1)  # Content area expandable
+        
+        # Main layout
+        main_layout = QHBoxLayout(self)
+        main_layout.addWidget(main_splitter)
+        main_layout.setContentsMargins(0, 0, 0, 0)
+        
+        # Connect signals
+        self.setup_connections()
+    
+    def setup_connections(self):
+        # Connect control panel signals to main app
+        self.control_panel.video_selected.connect(self.video_display.load_video)
+        self.control_panel.start_comparison.connect(self.start_comparison)
+        self.control_panel.stop_comparison.connect(self.stop_comparison)
+        self.control_panel.initialize_system.connect(self.motion_app.initialize_all)
+        
+    def start_comparison(self, video_path):
+        self.video_display.start_comparison(video_path)
+        self.similarity_display.start_analysis()
+        
+    def stop_comparison(self):
+        self.video_display.stop_comparison()
+        self.similarity_display.stop_analysis()
+        self.motion_app.cleanup()

similarity_display_widget.py

@@ -0,0 +1,259 @@
+import numpy as np
+import threading
+import queue
+from PyQt5.QtWidgets import (QWidget, QVBoxLayout, QHBoxLayout, QLabel, 
+                            QPushButton, QFrame, QGridLayout)
+from PyQt5.QtCore import Qt, QThread, pyqtSignal, QTimer
+from PyQt5.QtGui import QFont, QPalette
+
+# Placeholder for matplotlib widget since we'll need it for plotting
+try:
+    import matplotlib.pyplot as plt
+    from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
+    from matplotlib.figure import Figure
+    MATPLOTLIB_AVAILABLE = True
+except ImportError:
+    MATPLOTLIB_AVAILABLE = False
+
+class SimilarityThread(QThread):
+    similarity_update = pyqtSignal(float, float)  # current_similarity, average_similarity
+    plot_update = pyqtSignal()
+    
+    def __init__(self, motion_app):
+        super().__init__()
+        self.motion_app = motion_app
+        self.is_running = False
+        self.should_stop = False
+        
+    def start_analysis(self):
+        self.is_running = True
+        self.should_stop = False
+        self.start()
+        
+    def stop_analysis(self):
+        self.should_stop = True
+        self.is_running = False
+        
+    def run(self):
+        while self.is_running and not self.should_stop:
+            try:
+                # Get pose data from queue with timeout
+                pose_data = self.motion_app.pose_data_queue.get(timeout=1.0)
+                if pose_data is None:  # Poison pill
+                    break
+                    
+                elapsed_time, standard_angles, webcam_angles = pose_data
+                
+                if standard_angles and webcam_angles:
+                    current_similarity = self.motion_app.similarity_analyzer.calculate_similarity(
+                        standard_angles, webcam_angles)
+                    self.motion_app.similarity_analyzer.add_similarity_score(
+                        current_similarity, elapsed_time)
+                    
+                    # Calculate average
+                    history = self.motion_app.similarity_analyzer.similarity_history
+                    if history:
+                        avg_similarity = sum(history) / len(history)
+                        self.similarity_update.emit(current_similarity, avg_similarity)
+                        
+                    # Emit plot update signal (less frequently)
+                    if len(history) % 10 == 0:
+                        self.plot_update.emit()
+                
+                self.motion_app.pose_data_queue.task_done()
+                
+            except queue.Empty:
+                continue
+            except Exception as e:
+                continue
+
+class SimilarityPlotWidget(QWidget):
+    def __init__(self):
+        super().__init__()
+        self.setup_ui()
+        
+    def setup_ui(self):
+        layout = QVBoxLayout(self)
+        
+        if MATPLOTLIB_AVAILABLE:
+            # Create matplotlib figure
+            self.figure = Figure(figsize=(8, 4))
+            self.canvas = FigureCanvas(self.figure)
+            layout.addWidget(self.canvas)
+            
+            self.ax = self.figure.add_subplot(111)
+            self.ax.set_title('Similarity Trend')
+            self.ax.set_xlabel('Time (s)')
+            self.ax.set_ylabel('Score (%)')
+            self.ax.set_ylim(0, 100)
+            self.ax.grid(True, alpha=0.3)
+            
+            # Initialize empty line
+            self.line, = self.ax.plot([], [], 'b-', linewidth=2, label='Similarity')
+            self.avg_line = self.ax.axhline(y=0, color='r', linestyle='--', alpha=0.7, label='Average')
+            self.ax.legend()
+            
+            self.figure.tight_layout()
+            self.canvas.draw()
+        else:
+            # Fallback to simple text display
+            self.plot_label = QLabel("matplotlib不可用，无法显示图表")
+            self.plot_label.setAlignment(Qt.AlignCenter)
+            layout.addWidget(self.plot_label)
+    
+    def update_plot(self, timestamps, similarities):
+        if not MATPLOTLIB_AVAILABLE or not timestamps or not similarities:
+            return
+            
+        # Update line data
+        self.line.set_data(timestamps, similarities)
+        
+        # Update average line
+        if similarities:
+            avg = sum(similarities) / len(similarities)
+            self.avg_line.set_ydata([avg, avg])
+            
+        # Update axis limits
+        if timestamps:
+            self.ax.set_xlim(0, max(timestamps) + 1)
+            
+        self.canvas.draw()
+
+class SimilarityDisplayWidget(QWidget):
+    def __init__(self, motion_app):
+        super().__init__()
+        self.motion_app = motion_app
+        self.similarity_thread = SimilarityThread(motion_app)
+        self.setup_ui()
+        self.connect_signals()
+        
+    def setup_ui(self):
+        layout = QVBoxLayout(self)
+        
+        # Title
+        title_label = QLabel("📊 动作相似度分析")
+        title_label.setAlignment(Qt.AlignCenter)
+        title_label.setStyleSheet("font-size: 16pt; font-weight: bold; margin: 10px;")
+        layout.addWidget(title_label)
+        
+        # Metrics display
+        metrics_layout = QGridLayout()
+        
+        # Current similarity
+        self.current_sim_label = QLabel("当前相似度")
+        self.current_sim_value = QLabel("0.0%")
+        self.current_sim_value.setAlignment(Qt.AlignCenter)
+        self.current_sim_value.setStyleSheet("font-size: 24pt; font-weight: bold; color: #0086d3;")
+        
+        # Average similarity
+        self.avg_sim_label = QLabel("平均相似度")
+        self.avg_sim_value = QLabel("0.0%")
+        self.avg_sim_value.setAlignment(Qt.AlignCenter)
+        self.avg_sim_value.setStyleSheet("font-size: 24pt; font-weight: bold; color: #2e7d32;")
+        
+        metrics_layout.addWidget(self.current_sim_label, 0, 0)
+        metrics_layout.addWidget(self.current_sim_value, 1, 0)
+        metrics_layout.addWidget(self.avg_sim_label, 0, 1)
+        metrics_layout.addWidget(self.avg_sim_value, 1, 1)
+        
+        layout.addLayout(metrics_layout)
+        
+        # Plot widget
+        self.plot_widget = SimilarityPlotWidget()
+        layout.addWidget(self.plot_widget)
+        
+        # Final statistics (hidden initially)
+        self.stats_widget = self.create_statistics_widget()
+        self.stats_widget.hide()
+        layout.addWidget(self.stats_widget)
+        
+    def create_statistics_widget(self):
+        stats_widget = QFrame()
+        stats_widget.setFrameStyle(QFrame.StyledPanel)
+        stats_widget.setStyleSheet("background-color: #f0f8ff; border: 1px solid #ccc; border-radius: 5px;")
+        
+        layout = QVBoxLayout(stats_widget)
+        
+        self.final_title = QLabel("🎉 比较完成!")
+        self.final_title.setAlignment(Qt.AlignCenter)
+        self.final_title.setStyleSheet("font-size: 18pt; font-weight: bold; color: #2e7d32; margin: 10px;")
+        
+        self.performance_label = QLabel()
+        self.performance_label.setAlignment(Qt.AlignCenter)
+        self.performance_label.setStyleSheet("font-size: 14pt; font-weight: bold; margin: 5px;")
+        
+        # Final metrics
+        final_metrics_layout = QGridLayout()
+        
+        self.final_avg_label = QLabel("平均相似度")
+        self.final_avg_value = QLabel("0.0%")
+        self.final_max_label = QLabel("最高相似度")
+        self.final_max_value = QLabel("0.0%")
+        self.final_min_label = QLabel("最低相似度") 
+        self.final_min_value = QLabel("0.0%")
+        
+        final_metrics_layout.addWidget(self.final_avg_label, 0, 0)
+        final_metrics_layout.addWidget(self.final_avg_value, 1, 0)
+        final_metrics_layout.addWidget(self.final_max_label, 0, 1)
+        final_metrics_layout.addWidget(self.final_max_value, 1, 1)
+        final_metrics_layout.addWidget(self.final_min_label, 0, 2)
+        final_metrics_layout.addWidget(self.final_min_value, 1, 2)
+        
+        layout.addWidget(self.final_title)
+        layout.addWidget(self.performance_label)
+        layout.addLayout(final_metrics_layout)
+        
+        return stats_widget
+        
+    def connect_signals(self):
+        self.similarity_thread.similarity_update.connect(self.update_similarity_display)
+        self.similarity_thread.plot_update.connect(self.update_plot)
+        
+    def start_analysis(self):
+        self.stats_widget.hide()
+        self.motion_app.similarity_analyzer.reset()
+        self.similarity_thread.start_analysis()
+        
+    def stop_analysis(self):
+        self.similarity_thread.stop_analysis()
+        self.show_final_statistics()
+        
+    def update_similarity_display(self, current_similarity, average_similarity):
+        self.current_sim_value.setText(f"{current_similarity:.1f}%")
+        self.avg_sim_value.setText(f"{average_similarity:.1f}%")
+        
+    def update_plot(self):
+        analyzer = self.motion_app.similarity_analyzer
+        if hasattr(analyzer, 'similarity_history') and hasattr(analyzer, 'frame_timestamps'):
+            timestamps = list(analyzer.frame_timestamps)
+            similarities = list(analyzer.similarity_history)
+            self.plot_widget.update_plot(timestamps, similarities)
+            
+    def show_final_statistics(self):
+        history = self.motion_app.similarity_analyzer.similarity_history
+        if not history:
+            return
+            
+        final_avg = sum(history) / len(history)
+        final_max = max(history)
+        final_min = min(history)
+        
+        # Set performance level and color
+        if final_avg >= 80:
+            level = "非常棒! 👏"
+            color = "green"
+        elif final_avg >= 60:
+            level = "整体不错! 👍"
+            color = "blue"
+        else:
+            level = "需要改进! 💪"
+            color = "orange"
+            
+        self.performance_label.setText(f"整体表现: {level}")
+        self.performance_label.setStyleSheet(f"font-size: 14pt; font-weight: bold; margin: 5px; color: {color};")
+        
+        self.final_avg_value.setText(f"{final_avg:.1f}%")
+        self.final_max_value.setText(f"{final_max:.1f}%")
+        self.final_min_value.setText(f"{final_min:.1f}%")
+        
+        self.stats_widget.show()

video_display_widget.py

@@ -0,0 +1,274 @@
+import cv2
+import numpy as np
+from PyQt5.QtWidgets import QWidget, QVBoxLayout, QHBoxLayout, QLabel, QPushButton, QProgressBar
+from PyQt5.QtCore import Qt, QThread, pyqtSignal, QTimer, QMutex, QMutexLocker
+from PyQt5.QtGui import QPixmap, QImage, QPainter, QPen
+
+class VideoThread(QThread):
+    frame_ready = pyqtSignal(np.ndarray, np.ndarray)  # standard_frame, webcam_frame
+    progress_update = pyqtSignal(float, str)  # progress, status_text
+    comparison_finished = pyqtSignal()
+    
+    def __init__(self, motion_app):
+        super().__init__()
+        self.motion_app = motion_app
+        self.video_path = None
+        self.is_running = False
+        self.should_stop = False
+        self.should_restart = False
+        
+    def load_video(self, video_path):
+        self.video_path = video_path
+        
+    def start_comparison(self, video_path):
+        self.video_path = video_path
+        self.is_running = True
+        self.should_stop = False
+        self.should_restart = False
+        self.start()
+        
+    def stop_comparison(self):
+        self.should_stop = True
+        self.is_running = False
+        
+    def restart_comparison(self):
+        self.should_restart = True
+        
+    def run(self):
+        if not self.video_path or not self.motion_app.body_detector:
+            return
+            
+        # Initialize video capture
+        standard_cap = cv2.VideoCapture(self.video_path)
+        if not standard_cap.isOpened():
+            return
+            
+        # Initialize camera
+        if not self.motion_app.initialize_camera():
+            standard_cap.release()
+            return
+            
+        # Get video properties
+        total_frames = int(standard_cap.get(cv2.CAP_PROP_FRAME_COUNT))
+        video_fps = standard_cap.get(cv2.CAP_PROP_FPS)
+        if video_fps == 0:
+            video_fps = 30
+        video_duration = total_frames / video_fps
+        
+        target_width, target_height = self.motion_app.get_display_resolution()
+        
+        # Start audio if available
+        audio_loaded = self.motion_app.audio_player.load_audio(self.video_path)
+        if audio_loaded:
+            self.motion_app.audio_player.play()
+        
+        import time
+        start_time = time.time()
+        frame_counter = 0
+        
+        while self.is_running and not self.should_stop:
+            if self.should_restart:
+                standard_cap.set(cv2.CAP_PROP_POS_FRAMES, 0)
+                start_time = time.time()
+                if audio_loaded:
+                    self.motion_app.audio_player.restart()
+                self.should_restart = False
+                continue
+                
+            elapsed_time = time.time() - start_time
+            
+            if elapsed_time >= video_duration:
+                break
+                
+            # Get standard video frame based on elapsed time
+            target_frame_idx = int(elapsed_time * video_fps)
+            standard_cap.set(cv2.CAP_PROP_POS_FRAMES, target_frame_idx)
+            ret_standard, standard_frame = standard_cap.read()
+            
+            if not ret_standard:
+                continue
+                
+            # Get webcam frame
+            ret_webcam, webcam_frame = self.motion_app.read_camera_frame()
+            if not ret_webcam or webcam_frame is None:
+                continue
+                
+            # Process frames
+            frame_counter += 1
+            webcam_frame = cv2.flip(webcam_frame, 1)
+            standard_frame = cv2.resize(standard_frame, (target_width, target_height))
+            webcam_frame = cv2.resize(webcam_frame, (target_width, target_height))
+            
+            # Pose detection
+            try:
+                standard_keypoints, standard_scores = self.motion_app.body_detector(standard_frame)
+                webcam_keypoints, webcam_scores = self.motion_app.body_detector(webcam_frame)
+                
+                # Draw skeletons
+                from rtmlib import draw_skeleton
+                standard_with_keypoints = draw_skeleton(
+                    standard_frame.copy(), standard_keypoints, standard_scores, 
+                    openpose_skeleton=True, kpt_thr=0.43
+                )
+                webcam_with_keypoints = draw_skeleton(
+                    webcam_frame.copy(), webcam_keypoints, webcam_scores, 
+                    openpose_skeleton=True, kpt_thr=0.43
+                )
+                
+                # Emit frames for display
+                self.frame_ready.emit(standard_with_keypoints, webcam_with_keypoints)
+                
+                # Send pose data to similarity analyzer (in separate thread)
+                if standard_keypoints is not None and webcam_keypoints is not None:
+                    standard_angles = self.motion_app.similarity_analyzer.extract_joint_angles(
+                        standard_keypoints, standard_scores)
+                    webcam_angles = self.motion_app.similarity_analyzer.extract_joint_angles(
+                        webcam_keypoints, webcam_scores)
+                    
+                    if standard_angles and webcam_angles:
+                        try:
+                            self.motion_app.pose_data_queue.put_nowait(
+                                (elapsed_time, standard_angles, webcam_angles))
+                        except:
+                            pass
+                            
+            except Exception as e:
+                continue
+                
+            # Update progress (less frequently)
+            if frame_counter % 10 == 0:
+                progress = min(elapsed_time / video_duration, 1.0)
+                processing_fps = frame_counter / elapsed_time if elapsed_time > 0 else 0
+                status_text = f"时间: {elapsed_time:.1f}s / {video_duration:.1f}s | 处理帧率: {processing_fps:.1f} FPS"
+                self.progress_update.emit(progress, status_text)
+        
+        # Cleanup
+        if audio_loaded:
+            self.motion_app.audio_player.stop()
+        standard_cap.release()
+        
+        self.comparison_finished.emit()
+        self.is_running = False
+
+class VideoDisplayWidget(QWidget):
+    def __init__(self, motion_app):
+        super().__init__()
+        self.motion_app = motion_app
+        self.video_thread = VideoThread(motion_app)
+        self.setup_ui()
+        self.connect_signals()
+        
+    def setup_ui(self):
+        layout = QVBoxLayout(self)
+        
+        # Title
+        title_label = QLabel("📺 视频比较")
+        title_label.setAlignment(Qt.AlignCenter)
+        title_label.setStyleSheet("font-size: 16pt; font-weight: bold; margin: 10px;")
+        layout.addWidget(title_label)
+        
+        # Video displays
+        video_layout = QHBoxLayout()
+        
+        # Standard video
+        standard_layout = QVBoxLayout()
+        standard_title = QLabel("🎯 标准动作视频")
+        standard_title.setAlignment(Qt.AlignCenter)
+        standard_title.setStyleSheet("font-weight: bold; margin: 5px;")
+        self.standard_label = QLabel()
+        self.standard_label.setAlignment(Qt.AlignCenter)
+        self.standard_label.setMinimumSize(480, 360)
+        self.standard_label.setStyleSheet("border: 1px solid #ccc; background-color: #f0f0f0;")
+        self.standard_label.setText("等待视频...")
+        
+        standard_layout.addWidget(standard_title)
+        standard_layout.addWidget(self.standard_label)
+        
+        # Webcam video  
+        webcam_layout = QVBoxLayout()
+        webcam_title = QLabel("📹 实时影像")
+        webcam_title.setAlignment(Qt.AlignCenter)
+        webcam_title.setStyleSheet("font-weight: bold; margin: 5px;")
+        self.webcam_label = QLabel()
+        self.webcam_label.setAlignment(Qt.AlignCenter)
+        self.webcam_label.setMinimumSize(480, 360)
+        self.webcam_label.setStyleSheet("border: 1px solid #ccc; background-color: #f0f0f0;")
+        self.webcam_label.setText("等待摄像头...")
+        
+        webcam_layout.addWidget(webcam_title)
+        webcam_layout.addWidget(self.webcam_label)
+        
+        video_layout.addLayout(standard_layout)
+        video_layout.addLayout(webcam_layout)
+        layout.addLayout(video_layout)
+        
+        # Control buttons
+        button_layout = QHBoxLayout()
+        self.stop_button = QPushButton("⏹️ 停止")
+        self.restart_button = QPushButton("🔄 重新开始")
+        
+        self.stop_button.clicked.connect(self.stop_comparison)
+        self.restart_button.clicked.connect(self.restart_comparison)
+        
+        self.stop_button.setEnabled(False)
+        self.restart_button.setEnabled(False)
+        
+        button_layout.addWidget(self.stop_button)
+        button_layout.addWidget(self.restart_button)
+        layout.addLayout(button_layout)
+        
+        # Progress bar
+        self.progress_bar = QProgressBar()
+        self.status_label = QLabel("准备就绪")
+        
+        layout.addWidget(self.progress_bar)
+        layout.addWidget(self.status_label)
+        
+    def connect_signals(self):
+        self.video_thread.frame_ready.connect(self.update_frames)
+        self.video_thread.progress_update.connect(self.update_progress)
+        self.video_thread.comparison_finished.connect(self.on_comparison_finished)
+        
+    def load_video(self, video_path):
+        self.video_thread.load_video(video_path)
+        
+    def start_comparison(self, video_path):
+        self.stop_button.setEnabled(True)
+        self.restart_button.setEnabled(True)
+        self.video_thread.start_comparison(video_path)
+        
+    def stop_comparison(self):
+        self.video_thread.stop_comparison()
+        self.stop_button.setEnabled(False)
+        self.restart_button.setEnabled(False)
+        
+    def restart_comparison(self):
+        self.video_thread.restart_comparison()
+        
+    def update_frames(self, standard_frame, webcam_frame):
+        # Convert frames to Qt format and display
+        standard_pixmap = self.numpy_to_pixmap(standard_frame)
+        webcam_pixmap = self.numpy_to_pixmap(webcam_frame)
+        
+        self.standard_label.setPixmap(standard_pixmap.scaled(
+            self.standard_label.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))
+        self.webcam_label.setPixmap(webcam_pixmap.scaled(
+            self.webcam_label.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))
+            
+    def update_progress(self, progress, status_text):
+        self.progress_bar.setValue(int(progress * 100))
+        self.status_label.setText(status_text)
+        
+    def on_comparison_finished(self):
+        self.stop_button.setEnabled(False)
+        self.restart_button.setEnabled(False)
+        self.status_label.setText("比较完成")
+        
+    def numpy_to_pixmap(self, frame):
+        """Convert numpy array (BGR) to QPixmap"""
+        # Convert BGR to RGB
+        rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+        h, w, ch = rgb_frame.shape
+        bytes_per_line = ch * w
+        qt_image = QImage(rgb_frame.data, w, h, bytes_per_line, QImage.Format_RGB888)
+        return QPixmap.fromImage(qt_image)