[Benchmark] Add ppocr && ppseg benchmark (#1344)

* add GPL lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * support yolov8 * add pybind for yolov8 * add yolov8 readme * add cpp benchmark * add cpu and gpu mem * public part split * add runtime mode * fixed bugs * add cpu_thread_nums * deal with comments * deal with comments * deal with comments * rm useless code * add FASTDEPLOY_DECL * add FASTDEPLOY_DECL * fixed for windows * mv rss to pss * mv rss to pss * Update utils.cc * use thread to collect mem * Add ResourceUsageMonitor * rm useless code * fixed bug * fixed typo * update ResourceUsageMonitor * fixed bug * fixed bug * add note for ResourceUsageMonitor * deal with comments * add macros * deal with comments * deal with comments * deal with comments * re-lint * rm pmap and use mem api * rm pmap and use mem api * add mem api * Add PrintBenchmarkInfo func * Add PrintBenchmarkInfo func * Add PrintBenchmarkInfo func * deal with comments * fixed enable_paddle_to_trt * add log for paddle_trt * support ppcls benchmark * use new trt option api * update benchmark info * simplify benchmark.cc * simplify benchmark.cc * deal with comments * Add ppseg && ppocr benchmark * add OCR rec img * add ocr benchmark * fixed trt shape * add trt shape * resolve conflict * add ENABLE_BENCHMARK define --------- Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2025-10-29 19:12:30 +08:00 · 2023-02-20 15:59:27 +08:00
parent 1b499f3de2
commit b6658b8094
11 changed files with 182 additions and 22 deletions
--- a/benchmark/cpp/benchmark_ppocr.cc
+++ b/benchmark/cpp/benchmark_ppocr.cc
@@ -0,0 +1,90 @@
+// 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 "flags.h"
+#include "macros.h"
+#include "option.h"
+
+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);
+  auto im_rec = cv::imread(FLAGS_image_rec);
+  // Detection Model
+  auto det_model_file =
+      FLAGS_model + sep + FLAGS_det_model + sep + "inference.pdmodel";
+  auto det_params_file =
+      FLAGS_model + sep + FLAGS_det_model + sep + "inference.pdiparams";
+  // Classification Model
+  auto cls_model_file =
+      FLAGS_model + sep + FLAGS_cls_model + sep + "inference.pdmodel";
+  auto cls_params_file =
+      FLAGS_model + sep + FLAGS_cls_model + sep + "inference.pdiparams";
+  // Recognition Model
+  auto rec_model_file =
+      FLAGS_model + sep + FLAGS_rec_model + sep + "inference.pdmodel";
+  auto rec_params_file =
+      FLAGS_model + sep + FLAGS_rec_model + sep + "inference.pdiparams";
+  auto rec_label_file = FLAGS_rec_label_file;
+  if (FLAGS_backend == "paddle_trt") {
+    option.paddle_infer_option.collect_trt_shape = true;
+  }
+  auto det_option = option;
+  auto cls_option = option;
+  auto rec_option = option;
+  if (FLAGS_backend == "paddle_trt" || FLAGS_backend == "trt") {
+    det_option.trt_option.SetShape("x", {1, 3, 64, 64}, {1, 3, 640, 640},
+                                   {1, 3, 960, 960});
+    cls_option.trt_option.SetShape("x", {1, 3, 48, 10}, {4, 3, 48, 320},
+                                   {8, 3, 48, 1024});
+    rec_option.trt_option.SetShape("x", {1, 3, 48, 10}, {4, 3, 48, 320},
+                                   {8, 3, 48, 2304});
+  }
+  auto det_model = fastdeploy::vision::ocr::DBDetector(
+      det_model_file, det_params_file, det_option);
+  auto cls_model = fastdeploy::vision::ocr::Classifier(
+      cls_model_file, cls_params_file, cls_option);
+  auto rec_model = fastdeploy::vision::ocr::Recognizer(
+      rec_model_file, rec_params_file, rec_label_file, rec_option);
+  // Only for runtime
+  if (FLAGS_profile_mode == "runtime") {
+    std::vector<std::array<int, 8>> boxes_result;
+    std::cout << "====Detection model====" << std::endl;
+    BENCHMARK_MODEL(det_model, det_model.Predict(im, &boxes_result));
+    int32_t cls_label;
+    float cls_score;
+    std::cout << "====Classification model====" << std::endl;
+    BENCHMARK_MODEL(cls_model,
+                    cls_model.Predict(im_rec, &cls_label, &cls_score));
+    std::string text;
+    float rec_score;
+    std::cout << "====Recognization model====" << std::endl;
+    BENCHMARK_MODEL(rec_model, rec_model.Predict(im_rec, &text, &rec_score));
+  }
+  auto model_ppocrv3 =
+      fastdeploy::pipeline::PPOCRv3(&det_model, &cls_model, &rec_model);
+  fastdeploy::vision::OCRResult res;
+  if (FLAGS_profile_mode == "end2end") {
+    BENCHMARK_MODEL(model_ppocrv3, model_ppocrv3.Predict(im, &res))
+  }
+  auto vis_im = fastdeploy::vision::VisOcr(im, res);
+  cv::imwrite("vis_result.jpg", vis_im);
+  std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
+#endif
+  return 0;
+}