Sdcb.PaddleDetection 2.3.3

Sdcb.PaddleDetection

NuGet packages 🎯

NuGet Package 💼	Version 📌	Description 📚
Sdcb.PaddleDetection		PaddleDetection library(based on Sdcb.PaddleInference) ⚙️

Usage

1. Get your PaddleDetection models ready, or just download a model from my exported models (which is exported from official PaddlePaddle PicoDet and PPYolo).

2. Check your models

   Note: PaddleDetection inference model must should like following format:

   model_dir
   -> infer_cfg.yml
   -> model.pdiparams
   -> model.pdiparams.info
   -> model.pdmodel
   

   If your model filename is xxx.pdparams, you must export to inference model, you can refer to this document to export a inference model.

3. Install NuGet Packages:

   Sdcb.PaddleInference
   Sdcb.PaddleInference.runtime.win64.mkl
   Sdcb.PaddleDetection
   OpenCvSharp4
   OpenCvSharp4.runtime.win
   

4. Using following C# code to get result:

   string modelDir = DetectionLocalModel.PicoDets.L_416_coco.Directory; // your model directory here
   using (PaddleDetector detector = new PaddleDetector(modelDir, Path.Combine(modelDir, "infer_cfg.yml"), PaddleDevice.Mkldnn()))
   using (VideoCapture vc = new VideoCapture())
   {
       vc.Open(0);
       while (true)
       {
           using (Mat mat = vc.RetrieveMat())
           {
               DetectionResult[] results = detector.Run(mat);
   
               using (Mat dest = PaddleDetector.Visualize(mat, 
                   results.Where(x => x.Confidence > 0.5f), 
                   detector.Config.LabelList.Length))
               {
                   Cv2.ImShow("test", dest);
               }
           }
           Cv2.WaitKey(1);
       }
   }
   

running effect(for image):