From e1d71d67c7764b78a06e6828947556ce82e1c58d Mon Sep 17 00:00:00 2001
From: Wang_Run_Ze <wrz@mail.com>
Date: Fri, 27 Jun 2025 17:10:53 +0800
Subject: [PATCH] =?UTF-8?q?=E5=88=A0=E9=99=A4=20config.py?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 config.py | 113 ------------------------------------------------------
 1 file changed, 113 deletions(-)
 delete mode 100644 config.py

diff --git a/config.py b/config.py
deleted file mode 100644
index 943a680..0000000
--- a/config.py
+++ /dev/null
@@ -1,113 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-视频检测系统配置文件
-"""
-
-import os
-from pathlib import Path
-from ultralytics import YOLO
-
-class DetectionConfig:
-    """检测系统配置类"""
-    
-    # 模型配置
-    MODEL_PATH = "models/best.pt"
-    CONFIDENCE_THRESHOLD = 0.5
-    
-    # 动态模型信息
-    _model_classes = None
-    _model_colors = None
-    
-    # 文件夹配置
-    INPUT_FOLDER = "input_videos"
-    OUTPUT_FOLDER = "output_frames"
-    LOG_FOLDER = "logs"
-    
-    # 视频处理配置
-    SUPPORTED_VIDEO_FORMATS = {'.mp4', '.avi', '.mov', '.mkv', '.wmv', '.flv', '.webm'}
-    PROGRESS_INTERVAL = 100  # 每处理多少帧显示一次进度
-    MIN_FRAME_INTERVAL = 1.0  # 检测帧的最小时间间隔（秒）
-    
-    # 输出配置
-    SAVE_ORIGINAL_FRAMES = False  # 是否保存原始帧
-    SAVE_ANNOTATED_FRAMES = True  # 是否保存标注帧
-    SAVE_DETECTION_JSON = True  # 是否保存检测结果JSON
-    
-    # 图像质量配置
-    IMAGE_QUALITY = 95  # JPEG质量 (1-100)
-    
-    # 默认道路损伤类别映射 (中文标签) - 作为备用
-    DEFAULT_CLASS_NAMES_CN = {
-        0: "纵向裂缝",
-        1: "横向裂缝", 
-        2: "网状裂缝",
-        3: "坑洞",
-        4: "白线模糊"
-    }
-    
-    # 默认类别颜色配置 (BGR格式) - 所有类别使用相同的绿色
-    DEFAULT_CLASS_COLORS = {
-        0: (0, 255, 0),    # 绿色
-        1: (0, 255, 0),    # 绿色
-        2: (0, 255, 0),    # 绿色
-        3: (0, 255, 0),    # 绿色
-        4: (0, 255, 0)     # 绿色
-    }
-    
-    @classmethod
-    def get_model_path(cls):
-        """获取模型文件的绝对路径"""
-        current_dir = Path(__file__).parent
-        model_path = current_dir / cls.MODEL_PATH
-        return str(model_path.resolve())
-    
-    @classmethod
-    def create_folders(cls):
-        """创建必要的文件夹"""
-        folders = [cls.INPUT_FOLDER, cls.OUTPUT_FOLDER, cls.LOG_FOLDER]
-        for folder in folders:
-            Path(folder).mkdir(parents=True, exist_ok=True)
-    
-    @classmethod
-    def load_model_classes(cls, model_path):
-        """从模型文件动态加载类别信息"""
-        try:
-            model = YOLO(model_path)
-            cls._model_classes = model.names
-            # 为所有类别生成绿色
-            cls._model_colors = {i: (0, 255, 0) for i in range(len(model.names))}
-            return True
-        except Exception as e:
-            print(f"加载模型类别信息失败: {e}")
-            return False
-    
-    @classmethod
-    def get_class_name_cn(cls, class_id):
-        """获取类别的中文名称"""
-        # 优先使用动态加载的模型类别
-        if cls._model_classes is not None:
-            original_name = cls._model_classes.get(class_id)
-            if original_name:
-                # 如果有对应的中文映射则使用，否则使用原始英文名称
-                return cls.DEFAULT_CLASS_NAMES_CN.get(class_id, original_name)
-            return f"未知类别_{class_id}"
-        # 回退到默认中文类别
-        return cls.DEFAULT_CLASS_NAMES_CN.get(class_id, f"未知类别_{class_id}")
-    
-    @classmethod
-    def get_class_color(cls, class_id):
-        """获取类别对应的颜色 - 始终返回绿色"""
-        if cls._model_colors is not None:
-            return cls._model_colors.get(class_id, (0, 255, 0))
-        return cls.DEFAULT_CLASS_COLORS.get(class_id, (0, 255, 0))
-    
-    @classmethod
-    def get_all_classes(cls):
-        """获取所有类别信息"""
-        if cls._model_classes is not None:
-            return cls._model_classes
-        return cls.DEFAULT_CLASS_NAMES_CN
-
-# 全局配置实例
-config = DetectionConfig()
\ No newline at end of file