【免费】c#emgucv4.6.0版本gpu推理yolov7-tiny，darknet版本

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dll：56个

cache：29个

emgucv

darknet

gpu

5星 · 超过95%的资源需积分: 0 178 浏览量 2022-10-30 18:37:38 上传评论 4 收藏 987.64MB RAR 举报

在本文中，我们将深入探讨如何在C#环境中利用EMGU CV 4.6.0版本与Darknet框架，实现GPU加速的YOLOv7-tiny和YOLOv7目标检测。标题提到的关键技术点包括C#编程语言、EMGU CV库、Darknet框架以及GPU推理，特别是对于RTX2060显卡的应用。 EMGU CV是一个开源的计算机视觉库，它是OpenCV的.NET版本，支持多种编程语言，包括C#。在C#项目中，EMGU CV提供了丰富的API，使得开发者能够轻松地进行图像处理和计算机视觉任务，如目标检测。 YOLO（You Only Look Once）是一种实时的目标检测系统，它以高效著称。YOLOv7是YOLO系列的最新版本，其在速度和精度上进行了优化。YOLOv7-tiny是YOLOv7的轻量级变体，适用于资源有限的环境。而YOLOv7则拥有更高的准确性，但计算需求较大。 Darknet是一个用于训练和运行YOLO模型的开源框架，它可以直接在GPU上运行，提供高效的推理速度。在C#中，我们可以通过EMGU CV的接口来调用Darknet的预训练模型，进行目标检测任务。在描述中提到，RTX2060显卡在执行YOLOv7-tiny的推理任务时，总耗时仅为6毫秒，而YOLOv7的推理时间是26毫秒。这表明了GPU加速对于提升目标检测速度的重要性。RTX2060具有强大的并行计算能力，非常适合处理深度学习模型的计算任务，尤其是像YOLO这样的实时检测模型。在实际应用中，要实现这个过程，我们需要以下步骤： 1. 安装EMGU CV库，并确保其版本为4.6.0。 2. 下载或编译Darknet框架，包含YOLOv7的预训练模型权重文件。 3. 在C#项目中引用EMGU CV库，编写代码以加载模型、读取图像或视频流，并调用GPU进行推理。 4. 使用EMGU CV的`Dnn.Net`模块加载Darknet模型配置文件和权重。 5. 设置GPU加速，通过`Dnn.Net.SetPreferableBackend(Dnn.Backend.Cuda)`和`Dnn.Net.SetPreferableTarget(Dnn.Target.Gpu)`来指定GPU作为计算设备。 6. 执行推理操作，如`Dnn.Net.Forward()`，获取预测结果。 7. 将预测结果转换为检测框，并在原始图像上进行可视化。压缩包中的文件"emguc4.6-detect-all - yolov7 -7103"可能包含了整个流程的示例代码或者相关资源，如模型配置文件、权重文件、示例图像等。开发者可以参考这些文件来搭建和测试自己的C#目标检测系统。结合C#、EMGU CV 4.6.0、Darknet和GPU，我们可以构建一个高效的目标检测应用，尤其适合实时场景，例如监控视频分析、自动驾驶等领域。通过理解并实践上述技术，开发者可以进一步优化模型性能，提升系统响应速度，实现更优的计算机视觉解决方案。

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c# emgucv4.6.0版本gpu推理yolov7-tiny，darknet版本（556个子文件）

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WindowsFormsApp11.assets.cache 4KB

WindowsFormsApp11.csproj.GenerateResource.cache 939B

WindowsFormsApp11.csprojAssemblyReference.cache 424B

project.nuget.cache 302B

WindowsFormsApp11.assets.cache 214B

WindowsFormsApp11.csproj.GenerateResource.cache 168B

WindowsFormsApp11.csproj.CoreCompileInputs.cache 42B

WindowsFormsApp11.AssemblyInfoInputs.cache 42B

WindowsFormsApp11.csproj.CoreCompileInputs.cache 42B

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WindowsFormsApp11.AssemblyInfoInputs.cache 42B

WindowsFormsApp11.genruntimeconfig.cache 42B

WindowsFormsApp11.AssemblyInfoInputs.cache 42B

WindowsFormsApp11.csproj.CoreCompileInputs.cache 42B

yolov7-tiny.cfg 7KB

WindowsFormsApp11.csproj.CopyComplete 0B

DarknetYOLO.cs 6KB

Form1.cs 5KB

Resources.Designer.cs 3KB

Form1.Designer.cs 3KB

Form2.Designer.cs 2KB

WindowsFormsApp11.AssemblyInfo.cs 1KB

PreferredBackend.cs 1KB

WindowsFormsApp11.AssemblyInfo.cs 1KB

PreferredTarget.cs 992B

Program.cs 604B

Form2.cs 378B

YoloPrediction.cs 359B

.NETCoreApp,Version=v5.0.AssemblyAttributes.cs 190B

.NETCoreApp,Version=v3.1.AssemblyAttributes.cs 190B

.NETCoreApp,Version=v6.0.AssemblyAttributes.cs 190B

WindowsFormsApp11.csproj 4KB

opencv_world460.dll 1.03GB

cudnn_cnn_infer64_8.dll 560.84MB

cublasLt64_11.dll 518.87MB

cufft64_10.dll 266.91MB

cudnn_adv_infer64_8.dll 124.21MB

cudnn_adv_train64_8.dll 107.09MB

nppif64_11.dll 97.15MB

cudnn_ops_infer64_8.dll 92.83MB

cudnn_cnn_train64_8.dll 92.8MB

cublas64_11.dll 84.56MB

cudnn_ops_train64_8.dll 70.97MB

curand64_10.dll 62.35MB

nppist64_11.dll 37.25MB

nppig64_11.dll 34.45MB

opencv_videoio_ffmpeg460_64.dll 19.94MB

npps64_11.dll 17.9MB

nppial64_11.dll 14.47MB

cvextern.dll 10.96MB

nppidei64_11.dll 9.2MB

nppim64_11.dll 8.12MB

nppicc64_11.dll 5.51MB

nppitc64_11.dll 3.5MB

Emgu.CV.dll 863KB

msvcp140.dll 558KB

cudart64_110.dll 515KB

concrt140.dll 310KB

cufftw64_10.dll 284KB

nppc64_11.dll 277KB

cudnn64_8.dll 272KB

nppisu64_11.dll 246KB

msvcp140_2.dll 183KB

opencv_img_hash460.dll 160KB

Emgu.CV.DebuggerVisualizers.dll 132KB

Emgu.CV.Platform.NetFramework.dll 109KB

Emgu.CV.Platform.NetCore.dll 102KB

vcruntime140.dll 96KB

zlibwapi.dll 87KB

Emgu.CV.Models.dll 76KB

msvcp140_atomic_wait.dll 56KB

vcruntime140_1.dll 37KB

WindowsFormsApp11.dll 35KB

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sosoben

2023-09-20

System.Runtime.InteropServices.SEHException HResult=0x80004005 Message=External component has thrown an exception. Source=Emgu.CV 这是什么回事呢?