轮胎外观检测添加思谋语义分割模型检测工具
C3204
2026-04-02 3c837a3be1548e296d6ed1afb32ebe418b69db25
LB_VisionProcesses/Cameras/LBCameras/LBCamera.cs
@@ -4,6 +4,7 @@
using LB_VisionProcesses.Cameras;
using Sunny.UI.Win32;
using System;
using System.Collections.Concurrent;
using System.Collections.Generic;
using System.Drawing;
using System.Drawing.Imaging;
@@ -533,14 +534,23 @@
        private void CreateAndFireBitmap()
        {
            Bitmap bmp = null;
            BitmapData bmpData = null;
            try
            {
                int width = _currentBitmapWidth;
                int height = _currentLineCount; // 使用实际采集到的行数
                int height = _currentLineCount;
                if (width <= 0 || height <= 0 || _rawPixelBuffer == null) return;
                // 基础合法性校验
                if (width <= 0 || height <= 0 || _rawPixelBuffer == null || _rawPixelBuffer.Length < width * height)
                {
                    AsyncLogHelper.Warn($"LBCamera[{SN}]: 图像参数无效,跳过生成");
                    return;
                }
                Bitmap bmp = new Bitmap(width, height, PixelFormat.Format8bppIndexed);
                // 1. 创建8位灰度位图
                bmp = new Bitmap(width, height, PixelFormat.Format8bppIndexed);
                // 设置灰度调色板
                ColorPalette palette = bmp.Palette;
@@ -550,9 +560,8 @@
                }
                bmp.Palette = palette;
                // 拷贝数据
                BitmapData bmpData = bmp.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.WriteOnly, PixelFormat.Format8bppIndexed);
                // 2. 高效内存拷贝(支持Stride对齐,整行复制)
                bmpData = bmp.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.WriteOnly, PixelFormat.Format8bppIndexed);
                // 注意:Bitmap Stride 可能不等于 Width,需要逐行拷贝
                int stride = bmpData.Stride;
                IntPtr ptr = bmpData.Scan0;
@@ -567,36 +576,33 @@
                }
                bmp.UnlockBits(bmpData);
                bmpData = null; // 标记已解锁
                _frameCount++;
                AsyncLogHelper.Info($"LBCamera[{SN}]: Frame {_frameCount} generated ({width}x{height})");
                //空值校验:转换失败则直接返回
                if (bmp == null)
                AsyncLogHelper.Info($"LBCamera[{SN}]: 生成第 {_frameCount} 帧 ({width}x{height})");
                // 3. 获取/创建线程安全队列
                var queue = CollectedImages.GetOrAdd(SN, new ConcurrentQueue<Bitmap>());
                // 4. 队列限流,防止内存溢出
                if (queue.Count >= MAX_QUEUE_CAPACITY)
                {
                    AsyncLogHelper.Warn(SN + "帧转换为Bitmap失败,跳过处理");
                    return;
                    if (queue.TryDequeue(out Bitmap old))
                    {
                        old.Dispose(); // 丢弃最旧帧,释放内存
                        AsyncLogHelper.Warn($"LBCamera[{SN}]: 队列已满,自动丢弃最旧帧");
                }
                // 线程安全地将Bitmap添加到CollectedImages字典
                lock (_collectedImagesLock)
                {
                    // 确保当前相机SN对应的列表存在
                    if (!CollectedImages.ContainsKey(SN))
                    {
                        CollectedImages[SN] = new List<Bitmap>();
                    }
                    CollectedImages[SN].Add(bmp);
                    AsyncLogHelper.Info(SN + $"图像已加入缓存,当前缓存数量:{CollectedImages[SN].Count}");
                }
                // 处理CollectedImages中的图像:遍历消费列表第一个元素直到为空
                ProcessCollectedImages();
                //// 异步触发事件,避免阻塞SDK回调线程
                // 5. 入队
                queue.Enqueue(bmp);
                AsyncLogHelper.Info($"LBCamera[{SN}]: 图像入队,当前队列:{queue.Count}");
                // 6. 启动队列(单例,避免多线程重复)
                StartConsumeQueue();
                //Task.Factory.StartNew(() => 
                //{
                //    try
                //    {
                //        ImageGrabbed?.Invoke(this, new LBCameraEventArgs(SN, bmp, true));
                //        CallBackImg = (Bitmap)bmp.Clone();
                //    CallBackImg = (Bitmap)bitmap.Clone();
                //        if (CallBackImg == null)
                //        {
                //            return;
@@ -606,102 +612,83 @@
                //            if (mode == TriggerMode.On && source != TriggerSource.Software)
                //                TriggerRunMessageReceived?.Invoke(SN, source.ToString());  // 触发运行事件
                //        }
                //        bmp.Dispose();
                //    }
                //    catch (Exception ex)
                //    {
                //        AsyncLogHelper.Error($"LBCamera: Event Invoke error - {ex.Message}");
                //        bmp.Dispose(); // 异常时释放资源
                //    }
                //    bitmap.Dispose();
                //});
            }
            catch (Exception ex)
            {
                AsyncLogHelper.Error($"LBCamera: CreateBitmap error - {ex.Message}");
                AsyncLogHelper.Error($"LBCamera[{SN}]: 创建图像失败 - {ex.Message}", ex);
            }
            finally
            {
                // 强制资源释放,绝对杜绝泄漏
                if (bmpData != null)
                {
                    try { bmp?.UnlockBits(bmpData); } catch { }
                }
                // 注意:bmp 已入队,不能在这里释放,由调用者释放
            }
        }
        /// <summary>
        /// 启动队列(保证单线程)
        /// </summary>
        private void StartConsumeQueue()
        {
            // 使用轻量级判断,避免重复启动消费任务
            if (CollectedImages.TryGetValue(SN, out var queue) && !queue.IsEmpty)
            {
                Task.Factory.StartNew(ProcessImageQueue, TaskCreationOptions.LongRunning);
            }
        }
        /// <summary>
        /// 处理CollectedImages中的缓存图像
        /// 核心逻辑:遍历取第一个图像 -> 赋值给CallBackImg -> 触发事件 -> 释放并移除
        /// </summary>
        private void ProcessCollectedImages()
        {
            Task.Factory.StartNew(() =>
            {
                // 加锁保证线程安全,防止多线程同时操作列表
                lock (_collectedImagesLock)
                {
                    // 校验当前相机的图像列表是否存在且有数据
                    if (!CollectedImages.ContainsKey(SN) || CollectedImages[SN].Count == 0)
                    {
                        AsyncLogHelper.Info(SN + "当前无缓存图像,跳过处理");
                        return;
                    }
                    // 循环处理:直到列表为空
                    while (CollectedImages[SN].Count > 0)
        private void ProcessImageQueue()
                    {
                        try
                        {
                            // 1 取列表第一个索引的图像赋值给CallBackImg
                            Bitmap firstBitmap = CollectedImages[SN][0];
                            ImageGrabbed?.Invoke(this, new LBCameraEventArgs(SN, firstBitmap, true));
                            CallBackImg = (Bitmap)firstBitmap.Clone(); // 克隆避免原对象被释放后引用失效
                if (!CollectedImages.TryGetValue(SN, out var queue) || queue.IsEmpty)
                    return;
                            // 2 获取触发模式并判断是否触发运行事件
                // 短锁:仅出队,不阻塞生产
                while (queue.TryDequeue(out Bitmap bitmap))
                {
                    using (bitmap) // 自动释放:using 是最安全的方式
                    {
                        try
                        {
                            // 关键:事件传递克隆对象,绝对安全,不传递原资源
                            using (Bitmap clone = (Bitmap)bitmap.Clone())
                            {
                                // 触发图像事件
                                ImageGrabbed?.Invoke(this, new LBCameraEventArgs(SN, clone, true));
                            }
                            // 触发模式判断
                            if (GetTriggerMode(out TriggerMode mode, out TriggerSource source))
                            {
                                // 硬触发模式下触发运行事件
                                if (mode == TriggerMode.On && source != TriggerSource.Software)
                                {
                                    AsyncLogHelper.Info(SN + $"触发硬触发事件,触发源:{source}");
                                    TriggerRunMessageReceived?.Invoke(SN, source.ToString());
                                    AsyncLogHelper.Info($"LBCamera[{SN}]: 硬触发事件 - {source}");
                                }
                            }
                            else
                            {
                                AsyncLogHelper.Warn(SN + "获取触发模式失败,跳过事件触发");
                            }
                            // 3 释放第一个图像资源并从列表移除
                            // 先释放Bitmap内存,再移除列表元素
                            firstBitmap.Dispose();
                            CollectedImages[SN].RemoveAt(0);
                            AsyncLogHelper.Info(SN + $"已消费缓存图像,剩余缓存数量:{CollectedImages[SN].Count}");
                        }
                        catch (Exception ex)
                        {
                            AsyncLogHelper.Error(SN + $"处理缓存图像异常:{ex.Message}", ex);
                            // 单个图像处理失败时,移除该图像避免阻塞后续处理
                            if (CollectedImages[SN].Count > 0)
                            AsyncLogHelper.Error($"LBCamera[{SN}]: 处理单帧图像异常 - {ex.Message}", ex);
                            continue; // 单帧异常,继续处理下一帧
                        }
                    }
                }
            }
            catch (Exception ex)
                            {
                                try
                                {
                                    CollectedImages[SN][0]?.Dispose(); // 尝试释放
                                    CollectedImages[SN].RemoveAt(0);
                AsyncLogHelper.Error($"LBCamera[{SN}]: 消费队列异常 - {ex.Message}", ex);
                                }
                                catch (Exception innerEx)
                                {
                                    AsyncLogHelper.Error(SN + $"清理异常图像失败:{innerEx.Message}", innerEx);
                                }
                            }
                            // 单个图像处理失败不终止循环,继续处理下一个
                            // 4. 所有图像处理完成后,清空CallBackImg
                            if (CallBackImg != null)
                            {
                                CallBackImg.Dispose();
                                CallBackImg = null;
                            }
                            continue;
                        }
                        // 4. 所有图像处理完成后,清空CallBackImg
                        if (CallBackImg != null)
                        {
                            CallBackImg.Dispose();
                            CallBackImg = null;
                        }
                    }
                }
            });
        }