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[Hackthon_4th 177] Support PP-YOLOE-R with BM1684 (PaddlePaddle#1809)
* first draft * add robx iou * add benchmark for ppyoloe_r * remove trash code * fix bugs * add pybind nms rotated option * add missing head file * fix bug * fix bug2 * fix shape bug --------- Co-authored-by: DefTruth <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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| // 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. | ||
|
|
||
| #include <fstream> | ||
|
|
||
| #include "flags.h" | ||
| #include "macros.h" | ||
| #include "option.h" | ||
|
|
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| namespace vision = fastdeploy::vision; | ||
| namespace benchmark = fastdeploy::benchmark; | ||
|
|
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| DEFINE_bool(no_nms, false, "Whether the model contains nms."); | ||
|
|
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| int main(int argc, char* argv[]) { | ||
| #if defined(ENABLE_BENCHMARK) && defined(ENABLE_VISION) | ||
| // Initialization | ||
| auto option = fastdeploy::RuntimeOption(); | ||
| if (!CreateRuntimeOption(&option, argc, argv, true)) { | ||
| return -1; | ||
| } | ||
| auto im = cv::imread(FLAGS_image); | ||
| std::unordered_map<std::string, std::string> config_info; | ||
| benchmark::ResultManager::LoadBenchmarkConfig(FLAGS_config_path, | ||
| &config_info); | ||
| std::string model_name, params_name, config_name; | ||
| auto model_format = fastdeploy::ModelFormat::PADDLE; | ||
| if (!UpdateModelResourceName(&model_name, ¶ms_name, &config_name, | ||
| &model_format, config_info)) { | ||
| return -1; | ||
| } | ||
| auto model_file = FLAGS_model + sep + model_name; | ||
| auto params_file = FLAGS_model + sep + params_name; | ||
| auto config_file = FLAGS_model + sep + config_name; | ||
|
|
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| auto model_ppyoloe_r = vision::detection::PPYOLOER( | ||
| model_file, params_file, config_file, option, model_format); | ||
|
|
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| vision::DetectionResult res; | ||
|
|
||
| // Run profiling | ||
| BENCHMARK_MODEL(model_ppyoloe_r, model_ppyoloe_r.Predict(im, &res)) | ||
|
|
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| auto vis_im = vision::VisDetection(im, res); | ||
| cv::imwrite("vis_result.jpg", vis_im); | ||
| std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl; | ||
| #endif | ||
| return 0; | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,61 @@ | ||
| // 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. | ||
|
|
||
| #include <fstream> | ||
|
|
||
| #include "flags.h" | ||
| #include "macros.h" | ||
| #include "option.h" | ||
|
|
||
| namespace vision = fastdeploy::vision; | ||
| namespace benchmark = fastdeploy::benchmark; | ||
|
|
||
| DEFINE_bool(no_nms, false, "Whether the model contains nms."); | ||
|
|
||
| int main(int argc, char* argv[]) { | ||
| #if defined(ENABLE_BENCHMARK) && defined(ENABLE_VISION) | ||
| // Initialization | ||
| auto option = fastdeploy::RuntimeOption(); | ||
| if (!CreateRuntimeOption(&option, argc, argv, true)) { | ||
| return -1; | ||
| } | ||
| auto im = cv::imread(FLAGS_image); | ||
| std::unordered_map<std::string, std::string> config_info; | ||
| benchmark::ResultManager::LoadBenchmarkConfig(FLAGS_config_path, | ||
| &config_info); | ||
| std::string model_name, params_name, config_name; | ||
| auto model_format = fastdeploy::ModelFormat::SOPHGO; | ||
| if (!UpdateModelResourceName(&model_name, ¶ms_name, &config_name, | ||
| &model_format, config_info)) { | ||
| return -1; | ||
| } | ||
|
|
||
| auto model_file = FLAGS_model + sep + model_name; | ||
| auto params_file = FLAGS_model + sep + params_name; | ||
| auto config_file = FLAGS_model + sep + config_name; | ||
|
|
||
| auto model_ppyoloe_r = vision::detection::PPYOLOER( | ||
| model_file, params_file, config_file, option, model_format); | ||
|
|
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| vision::DetectionResult res; | ||
|
|
||
| // Run profiling | ||
| BENCHMARK_MODEL(model_ppyoloe_r, model_ppyoloe_r.Predict(im, &res)) | ||
|
|
||
| auto vis_im = vision::VisDetection(im, res); | ||
| cv::imwrite("vis_result.jpg", vis_im); | ||
| std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl; | ||
| #endif | ||
| return 0; | ||
| } |
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98 changes: 98 additions & 0 deletions
98
examples/vision/detection/paddledetection/cpp/infer_ppyoloe_r.cc
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,98 @@ | ||
| // Copyright (c) 2022 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. | ||
|
|
||
| #include "fastdeploy/vision.h" | ||
|
|
||
| #ifdef WIN32 | ||
| const char sep = '\\'; | ||
| #else | ||
| const char sep = '/'; | ||
| #endif | ||
|
|
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| void CpuInfer(const std::string& model_dir, const std::string& image_file) { | ||
| auto model_file = model_dir + sep + "model.pdmodel"; | ||
| auto params_file = model_dir + sep + "model.pdiparams"; | ||
| auto config_file = model_dir + sep + "infer_cfg.yml"; | ||
| auto option = fastdeploy::RuntimeOption(); | ||
| option.UseCpu(); | ||
| auto model = fastdeploy::vision::detection::PPYOLOER(model_file, params_file, | ||
| config_file, option); | ||
| if (!model.Initialized()) { | ||
| std::cerr << "Failed to initialize." << std::endl; | ||
| return; | ||
| } | ||
|
|
||
| auto im = cv::imread(image_file); | ||
| std::cout << im.cols << " vs " << im.rows << std::endl; | ||
| fastdeploy::vision::DetectionResult res; | ||
| if (!model.Predict(im, &res)) { | ||
| std::cerr << "Failed to predict." << std::endl; | ||
| return; | ||
| } | ||
|
|
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| std::cout << res.Str() << std::endl; | ||
| auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5); | ||
| cv::imwrite("vis_result.jpg", vis_im); | ||
| std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl; | ||
| } | ||
|
|
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| void GpuInfer(const std::string& model_dir, const std::string& image_file) { | ||
| auto model_file = model_dir + sep + "model.pdmodel"; | ||
| auto params_file = model_dir + sep + "model.pdiparams"; | ||
| auto config_file = model_dir + sep + "infer_cfg.yml"; | ||
|
|
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| auto option = fastdeploy::RuntimeOption(); | ||
| option.UseGpu(); | ||
| auto model = fastdeploy::vision::detection::PPYOLOER(model_file, params_file, | ||
| config_file, option); | ||
| if (!model.Initialized()) { | ||
| std::cerr << "Failed to initialize." << std::endl; | ||
| return; | ||
| } | ||
|
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| const cv::Mat im = cv::imread(image_file); | ||
|
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| fastdeploy::vision::DetectionResult res; | ||
| if (!model.Predict(im, &res)) { | ||
| std::cerr << "Failed to predict." << std::endl; | ||
| return; | ||
| } | ||
|
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| std::cout << res.Str() << std::endl; | ||
| auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.1); | ||
| cv::imwrite("vis_result.jpg", vis_im); | ||
| std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl; | ||
| } | ||
|
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| int main(int argc, char* argv[]) { | ||
| if (argc < 4) { | ||
| std::cout | ||
| << "Usage: infer_ppyoloe_r path/to/model_dir path/to/image run_option, " | ||
| "e.g ./infer_ppyoloe_r ./ppyoloe_model_dir ./test.jpeg 0" | ||
| << std::endl; | ||
| std::cout << "The data type of run_option is int, 0: run with cpu; 1: run " | ||
| "with gpu; 2: run with gpu and use tensorrt backend; 3: run " | ||
| "with kunlunxin." | ||
| << std::endl; | ||
| return -1; | ||
| } | ||
|
|
||
| if (std::atoi(argv[3]) == 0) { | ||
| CpuInfer(argv[1], argv[2]); | ||
| } else if (std::atoi(argv[3]) == 1) { | ||
| GpuInfer(argv[1], argv[2]); | ||
| } | ||
|
|
||
| return 0; | ||
| } |
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