104 lines
3.9 KiB
C#
104 lines
3.9 KiB
C#
using Check.Main.Common;
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using System;
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using System.Collections.Concurrent;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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using YoloDotNet;
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using YoloDotNet.Models;
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namespace Check.Main.Infer
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{
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/// <summary>
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/// 静态全局YOLO模型管理器。
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/// 负责在程序启动时加载所有模型，并在关闭时释放资源。
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/// </summary>
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public static class YoloModelManager
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{
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// 使用 ConcurrentDictionary 保证线程安全
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private static readonly ConcurrentDictionary<int, Yolo> _loadedModels = new ConcurrentDictionary<int, Yolo>();
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/// <summary>
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/// 根据模型配置列表初始化所有YOLO模型实例。
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/// 应在程序启动时调用一次。
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/// </summary>
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/// <param name="modelSettings">模型配置列表。</param>
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public static void Initialize(List<ModelSettings> modelSettings)
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{
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Shutdown(); // 先确保清理掉旧实例
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if (modelSettings == null) return;
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ThreadSafeLogger.Log("开始加载YOLO模型...");
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// 筛选出启用的深度学习模型进行加载
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foreach (var setting in modelSettings.Where(s => s.IsEnabled && s.M_AType == AlgorithmType.DeepLearning))
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{
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bool gpuUse = setting.CheckDevice == DetectDevice.GPU;
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if (string.IsNullOrEmpty(setting.Path) || !File.Exists(setting.Path))
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{
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ThreadSafeLogger.Log($"[警告] YOLO模型 '{setting.Name}' (ID: {setting.Id}) 路径无效或文件不存在，已跳过加载。");
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continue;
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}
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try
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{
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var yolo = new Yolo(new YoloOptions
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{
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OnnxModel = setting.Path,
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ModelType = (YoloDotNet.Enums.ModelType)setting.MType,
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Cuda = gpuUse,
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//Confidence = setting.YoloConfidenceThreshold, // 从 ModelSettings 读取
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//Nms = setting.YoloNmsThreshold, // 从 ModelSettings 读取
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PrimeGpu = false // 根据需求设置
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});
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// 保存阈值配置
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var conf = setting.YoloConfidenceThreshold;
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var nms = setting.YoloNmsThreshold;
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if (_loadedModels.TryAdd(setting.Id, yolo))
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{
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ThreadSafeLogger.Log($"成功加载YOLO模型 '{setting.Name}' (ID: {setting.Id})。");
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}
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}
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catch (Exception ex)
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{
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ThreadSafeLogger.Log($"[错误] 加载YOLO模型 '{setting.Name}' (ID: {setting.Id}) 失败: {ex.Message}");
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}
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}
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ThreadSafeLogger.Log($"YOLO模型加载完成，共成功加载 {_loadedModels.Count} 个模型。");
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}
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/// <summary>
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/// 获取指定ID的已加载YOLO模型。
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/// </summary>
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/// <param name="modelId">模型编号。</param>
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/// <returns>Yolo实例，如果未找到则返回null。</returns>
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public static Yolo GetModel(int modelId)
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{
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_loadedModels.TryGetValue(modelId, out var yolo);
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return yolo;
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}
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/// <summary>
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/// 释放所有已加载的YOLO模型资源。
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/// 应在程序关闭时调用。
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/// </summary>
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public static void Shutdown()
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{
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if (_loadedModels.Count > 0)
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{
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ThreadSafeLogger.Log("正在释放所有YOLO模型...");
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foreach (var yolo in _loadedModels.Values)
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{
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yolo?.Dispose();
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}
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_loadedModels.Clear();
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ThreadSafeLogger.Log("所有YOLO模型已释放。");
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}
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}
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}
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}
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