// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. using System; using System.IO; using System.Runtime.InteropServices; using OpenCvSharp; using fastdeploy; namespace Test { public class TestPaddleClas { public static void Main(string[] args) { if (args.Length < 3) { Console.WriteLine( "Usage: infer_demo path/to/model_dir path/to/image run_option, " + "e.g ./infer_model ./ppyolo_dirname ./test.jpeg 0" ); Console.WriteLine( "The data type of run_option is int, 0: run with cpu; 1: run with gpu"); return; } string model_dir = args[0]; string image_path = args[1]; string model_file = model_dir + "\\" + "inference.pdmodel"; string params_file = model_dir + "\\" + "inference.pdiparams"; string config_file = model_dir + "\\" + "inference_cls.yaml"; RuntimeOption runtimeoption = new RuntimeOption(); int device_option = Int32.Parse(args[2]); if(device_option==0){ runtimeoption.UseCpu(); }else{ runtimeoption.UseGpu(); } fastdeploy.vision.classification.PaddleClasModel model = new fastdeploy.vision.classification.PaddleClasModel(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.ClassifyResult res = model.Predict(image); Console.WriteLine(res.ToString()); } } }