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| 1 | +// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. |
| 2 | +// |
| 3 | +// Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | +// you may not use this file except in compliance with the License. |
| 5 | +// You may obtain a copy of the License at |
| 6 | +// |
| 7 | +// http://www.apache.org/licenses/LICENSE-2.0 |
| 8 | +// |
| 9 | +// Unless required by applicable law or agreed to in writing, software |
| 10 | +// distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | +// See the License for the specific language governing permissions and |
| 13 | +// limitations under the License. |
| 14 | + |
| 15 | +#include "fastdeploy/vision.h" |
| 16 | + |
| 17 | +#ifdef WIN32 |
| 18 | +const char sep = '\\'; |
| 19 | +#else |
| 20 | +const char sep = '/'; |
| 21 | +#endif |
| 22 | + |
| 23 | +void CpuInfer(const std::string& model_dir, const std::string& image_file) { |
| 24 | + auto model_file = model_dir + sep + "model.pdmodel"; |
| 25 | + auto params_file = model_dir + sep + "model.pdiparams"; |
| 26 | + auto config_file = model_dir + sep + "infer_cfg.yml"; |
| 27 | + auto option = fastdeploy::RuntimeOption(); |
| 28 | + option.UseCpu(); |
| 29 | + auto model = fastdeploy::vision::detection::PPYOLOER(model_file, params_file, |
| 30 | + config_file, option); |
| 31 | + if (!model.Initialized()) { |
| 32 | + std::cerr << "Failed to initialize." << std::endl; |
| 33 | + return; |
| 34 | + } |
| 35 | + |
| 36 | + auto im = cv::imread(image_file); |
| 37 | + std::cout << im.cols << " vs " << im.rows << std::endl; |
| 38 | + fastdeploy::vision::DetectionResult res; |
| 39 | + if (!model.Predict(im, &res)) { |
| 40 | + std::cerr << "Failed to predict." << std::endl; |
| 41 | + return; |
| 42 | + } |
| 43 | + |
| 44 | + std::cout << res.Str() << std::endl; |
| 45 | + auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5); |
| 46 | + cv::imwrite("vis_result.jpg", vis_im); |
| 47 | + std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl; |
| 48 | +} |
| 49 | + |
| 50 | +void GpuInfer(const std::string& model_dir, const std::string& image_file) { |
| 51 | + auto model_file = model_dir + sep + "model.pdmodel"; |
| 52 | + auto params_file = model_dir + sep + "model.pdiparams"; |
| 53 | + auto config_file = model_dir + sep + "infer_cfg.yml"; |
| 54 | + |
| 55 | + auto option = fastdeploy::RuntimeOption(); |
| 56 | + option.UseGpu(); |
| 57 | + auto model = fastdeploy::vision::detection::PPYOLOER(model_file, params_file, |
| 58 | + config_file, option); |
| 59 | + if (!model.Initialized()) { |
| 60 | + std::cerr << "Failed to initialize." << std::endl; |
| 61 | + return; |
| 62 | + } |
| 63 | + |
| 64 | + const cv::Mat im = cv::imread(image_file); |
| 65 | + |
| 66 | + fastdeploy::vision::DetectionResult res; |
| 67 | + if (!model.Predict(im, &res)) { |
| 68 | + std::cerr << "Failed to predict." << std::endl; |
| 69 | + return; |
| 70 | + } |
| 71 | + |
| 72 | + std::cout << res.Str() << std::endl; |
| 73 | + auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.1); |
| 74 | + cv::imwrite("vis_result.jpg", vis_im); |
| 75 | + std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl; |
| 76 | +} |
| 77 | + |
| 78 | +int main(int argc, char* argv[]) { |
| 79 | + if (argc < 4) { |
| 80 | + std::cout |
| 81 | + << "Usage: infer_ppyoloe_r path/to/model_dir path/to/image run_option, " |
| 82 | + "e.g ./infer_ppyoloe_r ./ppyoloe_model_dir ./test.jpeg 0" |
| 83 | + << std::endl; |
| 84 | + std::cout << "The data type of run_option is int, 0: run with cpu; 1: run " |
| 85 | + "with gpu; 2: run with gpu and use tensorrt backend; 3: run " |
| 86 | + "with kunlunxin." |
| 87 | + << std::endl; |
| 88 | + return -1; |
| 89 | + } |
| 90 | + |
| 91 | + if (std::atoi(argv[3]) == 0) { |
| 92 | + CpuInfer(argv[1], argv[2]); |
| 93 | + } else if (std::atoi(argv[3]) == 1) { |
| 94 | + GpuInfer(argv[1], argv[2]); |
| 95 | + } |
| 96 | + |
| 97 | + return 0; |
| 98 | +} |
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