FastDeploy部署教程(CSharp版本)
1. FastDeploy介绍
FastDeploy是一款全场景、易用灵活、极致高效的AI推理部署工具， 支持云边端部署。提供超过 🔥160+ Text，Vision， Speech和跨模态模型📦开箱即用的部署体验，并实现🔚端到端的推理性能优化。包括 物体检测、字符识别（OCR）、人脸、人像扣图、多目标跟踪系统、NLP、Stable Diffusion文图生成、TTS 等几十种任务场景，满足开发者多场景、多硬件、多平台的产业部署需求。
2. FastDeploy 部署(C++)
参考：
FastDeploy 安装教程
3. FastDeploy 部署(CSharp)
FastDeploy C# SDK的接口实现，为用户需要C# API的场景提供解决方案。
3.1 FastDeploy 源码编译
-
CMAKE_CONFIGURATION_TYPES属性设置为Release -
请不要勾选
WITH_GPU和ENABLE_TRT_BACKEND -
开启
ENABLE_ORT_BACKEND=ON ENABLE_PADDLE_BACKEND=ON ENABLE_OPENVINO_BACKEND=ON ENABLE_VISION=ON ENABLE_TEXT=ON WITH_CAPI=ON WITH_CSHARPAPI=ON -
指定
CMAKE_INSTALL_PREFIX安装路径 -
生成
fastdeploy.sln解决方案文件选择Release版本，生成编译，点击"INSTALL"->右键点击"生成"将编译好的SDK安装到先前指定的目录步骤⑤。
3.2 创建CSharp项目
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在项目引用中添加–>fastdeploy_csharp；
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nuget 包添加OpenCvSharp、OpenCvSharp.Extensions等包
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在debug\relese项目文件夹中添加Fastdeploy的动态链接库；
fastdeploy_init.bat install %cd% D:\workSpace\Paddle\deploy\FastDeplyCsharp\FastDeplyCsharp\bin\x64\Debug
- 结果预览
3.3 源代码
//目标检测
public void fastdeployDetInfer(string image_path)
{string model_dir = "D://workSpace//Paddle//models//ppyoloe_crn_l_300e_coco";string model_file = model_dir + "\\" + "model.pdmodel";string params_file = model_dir + "\\" + "model.pdiparams";string config_file = model_dir + "\\" + "infer_cfg.yml";RuntimeOption runtimeoption = new RuntimeOption();int device_option = 0;if (device_option == 0){runtimeoption.UseCpu();}else{runtimeoption.UseGpu();}fastdeploy.vision.detection.PPYOLOE model = new fastdeploy.vision.detection.PPYOLOE(model_file, params_file, config_file, runtimeoption, ModelFormat.PADDLE);if (!model.Initialized()){Console.WriteLine("Failed to initialize.\n");}Mat image = Cv2.ImRead(image_path);fastdeploy.vision.DetectionResult res = model.Predict(image);//Console.WriteLine(res.ToString());Mat res_img = fastdeploy.vision.Visualize.VisDetection(image, res, 0.5f, 1, 0.5f);InferPictureBox.Image = res_img.ToBitmap();
}
// 语义分割
public void fastdeplySegInfer(string image_path)
{string model_dir = "D://workSpace//Paddle//models//PP_LiteSeg_B_STDC2_cityscapes_without_argmax_infer";string model_file = model_dir + "\\" + "model.pdmodel";string params_file = model_dir + "\\" + "model.pdiparams";string config_file = model_dir + "\\" + "deploy.yaml";RuntimeOption runtimeoption = new RuntimeOption();runtimeoption.UseCpu();fastdeploy.vision.segmentation.PaddleSegModel model = new fastdeploy.vision.segmentation.PaddleSegModel(model_file, params_file, config_file, runtimeoption, ModelFormat.PADDLE);if (!model.Initialized()){Console.WriteLine("Failed to initialize.\n");}Mat image = Cv2.ImRead(image_path);fastdeploy.vision.SegmentationResult res = model.Predict(image);Console.WriteLine(res.ToString());Mat res_img = fastdeploy.vision.Visualize.VisSegmentation(image, res, 0.5f);InferPictureBox.Image = res_img.ToBitmap();
}
