有问题不会排查，给你思路，速速下载

最近下载官网VM，打开要等好久，有个时候要等半个小时，这是怎么回事？

想咨询咱们是否有放在输送带上帮助人员进行计数的产品，传统的激光对射的产品，物体之间必须有间隔，不能统计有叠放的物体

多个检测区域怎样才能在保存图片时只显示NG区域的ROI？

我想在工件上人为创建一些由直线和圆弧组成的轨迹，并显示轨迹点的序号，加上定位修正做涂胶引导。目前通过几何创建工具创建了一系列点，但这些点不能人为选择直线或圆弧进行连接形成轨迹，也没有显示点的序号。

visionTrain2.3最新版本 下载到服务器上,CPU是两块Intel(R) Xeon(R) CPU E5-2609 v3，GPU是NVIDIA4060ti，训练图像分割使用GPU

图像分割：
[图片]

这样能训练成功，目标检测和分类没有选择VM-GPU的选项，训练大概15秒左右显示训练失败，是因为CPU的原因吗？我想请问一下有没有不换CPU，只用GPU的方式或者能不能跳过CPU检测的机制来训练。

目标检测：

  [图片] 

训练失败日志：  

2026-04-17 14:37:13.322 [PID:672][Instance:672-ed0c] INFO [25] [Hik.VM.DeepLearningTool.DeepLearningPageData::DealParamRecommendResult@0] param recommend success, result = {'input_width': 1408, 'input_height': 1760, 'model_ability': <ModelAbility.model_accuracy: 'accuracy'>, 'angle_mode': 0, 'samll_object_mode': False, 'batch_size': 1, 'epoch': 284, 'learning_rate': 0.0001, 'lr_decay_type': 'WarmupCosineLR', 'patch': {'batch_size': 1}}
2026-04-17 14:37:16.777 [PID:672][Instance:672-ed0c] INFO [18] [Hik.VM.DeepLearningTool.Util.WindowsEnvUtil::GetFreeGpuMemory@0] freeMem =7.546875
2026-04-17 14:37:17.202 [PID:672][Instance:672-ed0c] DEBUG [18] [Hik.VM.DeepLearningTool.Util.WindowsEnvUtil::GetFreeMemory@0] 剩余物理内存: 60351764 字节
2026-04-17 14:37:17.203 [PID:672][Instance:672-ed0c] DEBUG [18] [Hik.VM.DeepLearningTool.Util.WindowsEnvUtil::GetFreeCSpace@0] C: 总大小 99.3994102478027 已使用 49.9833068847656 空余大小 49.4161033630371
2026-04-17 14:37:17.203 [PID:672][Instance:672-ed0c] DEBUG [18] [Hik.VM.DeepLearningTool.Util.WindowsEnvUtil::GetFreeCSpace@0] C: 已使用 50.29%
2026-04-17 14:37:17.204 [PID:672][Instance:672-ed0c] ERROR [18] [Hik.VM.DeepLearningTool.DeepLearningPageData::envCheck@0] 未找到有效的CPU型号格式
2026-04-17 14:37:17.208 [PID:672][Instance:672-ed0c] INFO [1] [Apps.Localization.AppLocalizationService::GetLang@0] 错误信息入参：复制
2026-04-17 14:37:17.209 [PID:672][Instance:672-ed0c] INFO [1] [Apps.Localization.AppLocalizationService::GetLang@0] obj：复制
2026-04-17 14:37:17.211 [PID:672][Instance:672-ed0c] INFO [1] [Apps.Localization.AppLocalizationService::GetLang@0] 错误信息入参：复制
2026-04-17 14:37:17.212 [PID:672][Instance:672-ed0c] INFO [1] [Apps.Localization.AppLocalizationService::GetLang@0] obj：复制
2026-04-17 14:37:18.846 [PID:672][Instance:672-ed0c] INFO [1] [Hik.VM.DeepLearningTool.Project.TrainTaskManager+<>c__DisplayClass11_0::<TryAcquireTrainingLock>b__0@0] =============================尝试获取训练执行锁，获取结果=True。
2026-04-17 14:37:18.849 [PID:672][Instance:672-ed0c] WARN [18] [Hik.VM.DeepLearningTool.DeepLearningPageData::SaveDataSetJSONFile@0] Dataset.images60
2026-04-17 14:37:18.900 [PID:672][Instance:672-ed0c] INFO [18] [Hik.VM.DeepLearningTool.Data.TrainCommonData::GetModelSubIdByData@0] 匹配模型子类型，AlgorithmId=2, model_version=VM440, model_type=2, model_accuracy=1, angle_mode=0
2026-04-17 14:37:18.903 [PID:672][Instance:672-ed0c] DEBUG [23] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 2 , percent = 2
2026-04-17 14:37:18.903 [PID:672][Instance:672-ed0c] DEBUG [14] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 6 , percent = 4
2026-04-17 14:37:18.904 [PID:672][Instance:672-ed0c] DEBUG [23] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 10 , percent = 10
2026-04-17 14:37:18.903 [PID:672][Instance:672-ed0c] DEBUG [5] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 8 , percent = 8
2026-04-17 14:37:18.903 [PID:672][Instance:672-ed0c] DEBUG [17] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 6 , percent = 6
2026-04-17 14:37:18.912 [PID:672][Instance:672-ed0c] INFO [18] [Hik.VM.DeepLearningTool.Project.TrainTaskManager::TrainTaskSchedule@0] ========= enter train task schedule, start excute taskId=1_2_202604171437188， leave Task count=0
2026-04-17 14:37:19.019 [PID:672][Instance:672-ed0c] DEBUG [23] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 17 , percent = 12
2026-04-17 14:37:19.019 [PID:672][Instance:672-ed0c] DEBUG [5] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 17 , percent = 15
2026-04-17 14:37:19.019 [PID:672][Instance:672-ed0c] DEBUG [17] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 17 , percent = 17
2026-04-17 14:37:19.020 [PID:672][Instance:672-ed0c] DEBUG [14] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 19 , percent = 19
2026-04-17 14:37:19.110 [PID:672][Instance:672-ed0c] DEBUG [22] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 21 , percent = 21
2026-04-17 14:37:19.111 [PID:672][Instance:672-ed0c] DEBUG [5] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 23 , percent = 23
2026-04-17 14:37:19.113 [PID:672][Instance:672-ed0c] DEBUG [14] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 28 , percent = 28
2026-04-17 14:37:19.115 [PID:672][Instance:672-ed0c] DEBUG [5] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 32 , percent = 32
2026-04-17 14:37:19.114 [PID:672][Instance:672-ed0c] DEBUG [22] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 30 , percent = 30
2026-04-17 14:37:19.112 [PID:672][Instance:672-ed0c] DEBUG [17] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 25 , percent = 25
2026-04-17 14:37:19.118 [PID:672][Instance:672-ed0c] DEBUG [22] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 38 , percent = 38
2026-04-17 14:37:19.115 [PID:672][Instance:672-ed0c] DEBUG [14] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 34 , percent = 34
2026-04-17 14:37:19.120 [PID:672][Instance:672-ed0c] DEBUG [22] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 43 , percent = 43
2026-04-17 14:37:19.116 [PID:672][Instance:672-ed0c] DEBUG [5] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 36 , percent = 36
2026-04-17 14:37:19.120 [PID:672][Instance:672-ed0c] DEBUG [14] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 45 , percent = 45
2026-04-17 14:37:19.122 [PID:672][Instance:672-ed0c] DEBUG [5] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 49 , percent = 49
2026-04-17 14:37:19.123 [PID:672][Instance:672-ed0c] DEBUG [14] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 51 , percent = 51
2026-04-17 14:37:19.123 [PID:672][Instance:672-ed0c] DEBUG [5] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 53 , percent = 53
2026-04-17 14:37:19.124 [PID:672][Instance:672-ed0c] DEBUG [14] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 56 , percent = 56
2026-04-17 14:37:19.121 [PID:672][Instance:672-ed0c] DEBUG [22] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 47 , percent = 47
2026-04-17 14:37:19.119 [PID:672][Instance:672-ed0c] DEBUG [17] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 41 , percent = 41
2026-04-17 14:37:19.125 [PID:672][Instance:672-ed0c] DEBUG [14] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 60 , percent = 60
2026-04-17 14:37:19.127 [PID:672][Instance:672-ed0c] DEBUG [17] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 64 , percent = 64
2026-04-17 14:37:19.126 [PID:672][Instance:672-ed0c] DEBUG [22] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 62 , percent = 62
2026-04-17 14:37:19.128 [PID:672][Instance:672-ed0c] DEBUG [14] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 66 , percent = 66
2026-04-17 14:37:19.125 [PID:672][Instance:672-ed0c] DEBUG [5] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 58 , percent = 58
2026-04-17 14:37:19.307 [PID:672][Instance:672-ed0c] DEBUG [14] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 71 , percent = 69
2026-04-17 14:37:19.312 [PID:672][Instance:672-ed0c] DEBUG [22] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 75 , percent = 75
2026-04-17 14:37:19.314 [PID:672][Instance:672-ed0c] DEBUG [14] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 77 , percent = 77
2026-04-17 14:37:19.314 [PID:672][Instance:672-ed0c] DEBUG [22] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 79 , percent = 79
2026-04-17 14:37:19.315 [PID:672][Instance:672-ed0c] DEBUG [18] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 82 , percent = 82
2026-04-17 14:37:19.307 [PID:672][Instance:672-ed0c] DEBUG [5] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 73 , percent = 73
2026-04-17 14:37:19.307 [PID:672][Instance:672-ed0c] DEBUG [17] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 71 , percent = 71
2026-04-17 14:37:19.316 [PID:672][Instance:672-ed0c] DEBUG [18] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 84 , percent = 84
2026-04-17 14:37:19.317 [PID:672][Instance:672-ed0c] DEBUG [5] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 86 , percent = 86
2026-04-17 14:37:19.318 [PID:672][Instance:672-ed0c] DEBUG [17] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 88 , percent = 88
2026-04-17 14:37:19.319 [PID:672][Instance:672-ed0c] DEBUG [18] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 90 , percent = 90
2026-04-17 14:37:19.320 [PID:672][Instance:672-ed0c] DEBUG [5] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 92 , percent = 92
2026-04-17 14:37:19.321 [PID:672][Instance:672-ed0c] DEBUG [18] [Hik.VM.DeepLearningTool.DeepLearningPageData+<>c__DisplayClass1317_1::<SaveTrainJsonData>b__3@0] PrepareProcess = 95 , percent = 95
2026-04-17 14:37:20.029 [PID:672][Instance:672-ed0c] INFO [25] [Hik.VM.DeepLearningTool.DeepLearningPageData::OnStartTrain@0] 开始训练成功，任务ID=1_2_202604171437188
2026-04-17 14:37:32.914 [PID:672][Instance:672-ed0c] INFO [18] [Hik.VM.DeepLearningTool.DLL.PytorchServiceManager::CheckImageLog@0] 训练进程已退出，日志监控线程结束

[图片]

产品在旋转轴上，旋转轴固定在Y轴上。

• 产品：只能 Y 前后 + R 旋转
• 相机：固定不动
• X 方向：产品不能动，相机也不能动

如何做平移旋转标定

采图时原始图激光断断续续，没连接上。

如何配置充电桩

使用C#， 看教学视频中调用VmSolution.Load后，界面上的VmProcedureConfigControl控件会自动加载，并显示出流程。
但是我的工程并不会显示流程，界面上的VmProcedureConfigControl控件没有变化，为什么呢？ 

已经确定VmSolution.Load没有抛出异常，且后续可以执行mSolution.Instance.SyncRun()

在使用MV-CS028-10UM（U3V相机）时发现相机获取到图像是100ms前的图像，缓存已设置为1（使用相机拍摄毫秒级秒表），不管是MVS还是自己实现的C代码都存在这个问题，是相机本身就存在这个问题吗，还是设置不对

拖动深度学习的图像分割模块后报错：

[图片]

我用此型号扫码枪用在激光打码机上，我扫描二维码电脑上能读取出二维码内容，就是不能自动确认，打印出来二维码

c#HB模式怎么取图，取的图现在是雪花

老师你好：

    我想请教一下木制品餐具刀叉勺AI模型训练工具如何做模型来检测劈裂.污染.树节.缺肉？标注时选用图像分割还是其它，可以帮忙演示一下方案吗？

[图片]
可不可导入实例分割的标签数据

发送数据的值写的是2，为什么输出的结果为1-02-2，PLC收到的数据是12800，怎么让他不输出前面的1-02-，只输出2

咨询一下两个问题：
1:USB相机不支持MVS客户端内PTP同步？仅网口相机支持？

2:能否通过程序实现软同步？是否有相应的方案可供参考？