[Model] Support PP-StructureV2-Layout model (#1867)

* [Model] init pp-structurev2-layout code * [Model] init pp-structurev2-layout code * [Model] init pp-structurev2-layout code * [Model] add structurev2_layout_preprocessor * [PP-StructureV2] add postprocessor and layout detector class * [PP-StructureV2] add postprocessor and layout detector class * [PP-StructureV2] add postprocessor and layout detector class * [PP-StructureV2] add postprocessor and layout detector class * [PP-StructureV2] add postprocessor and layout detector class * [pybind] add pp-structurev2-layout model pybind * [pybind] add pp-structurev2-layout model pybind * [Bug Fix] fixed code style * [examples] add pp-structurev2-layout c++ examples * [PP-StructureV2] add python example and docs * [benchmark] add pp-structurev2-layout benchmark support
2025-10-15 21:20:53 +08:00 · 2023-05-05 13:05:58 +08:00
parent 2c5fd91a7f
commit 6d0261e9e4
26 changed files with 1255 additions and 23 deletions
--- a/benchmark/cpp/benchmark_structurev2_layout.cc
+++ b/benchmark/cpp/benchmark_structurev2_layout.cc
@@ -0,0 +1,93 @@
+// 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"
+
+namespace vision = fastdeploy::vision;
+namespace benchmark = fastdeploy::benchmark;
+
+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, &params_name, &config_name,
+                               &model_format, config_info, false)) {
+    return -1;
+  }
+
+  auto model_file = FLAGS_model + sep + model_name;
+  auto params_file = FLAGS_model + sep + params_name;
+  if (config_info["backend"] == "paddle_trt") {
+    option.paddle_infer_option.collect_trt_shape = true;
+  }
+  if (config_info["backend"] == "paddle_trt" ||
+      config_info["backend"] == "trt") {
+    option.trt_option.SetShape("image", {1, 3, 800, 608}, {1, 3, 800, 608},
+                               {1, 3, 800, 608});
+  }
+  auto layout_model = vision::ocr::StructureV2Layout(model_file, params_file,
+                                                     option, model_format);
+  // 5 for publaynet, 10 for cdla
+  layout_model.GetPostprocessor().SetNumClass(5);
+
+  vision::DetectionResult res;
+  if (config_info["precision_compare"] == "true") {
+    // Run once at least
+    layout_model.Predict(im, &res);
+    // 1. Test result diff
+    std::cout << "=============== Test result diff =================\n";
+    // Save result to -> disk.
+    std::string layout_result_path = "layout_result.txt";
+    benchmark::ResultManager::SaveDetectionResult(res, layout_result_path);
+    // Load result from <- disk.
+    vision::DetectionResult res_loaded;
+    benchmark::ResultManager::LoadDetectionResult(&res_loaded,
+                                                  layout_result_path);
+    // Calculate diff between two results.
+    auto det_diff =
+        benchmark::ResultManager::CalculateDiffStatis(res, res_loaded);
+    std::cout << "Boxes diff: mean=" << det_diff.boxes.mean
+              << ", max=" << det_diff.boxes.max
+              << ", min=" << det_diff.boxes.min << std::endl;
+    std::cout << "Label_ids diff: mean=" << det_diff.labels.mean
+              << ", max=" << det_diff.labels.max
+              << ", min=" << det_diff.labels.min << std::endl;
+  }
+  // Run profiling
+  BENCHMARK_MODEL(layout_model, layout_model.Predict(im, &res))
+  std::vector<std::string> labels = {"text", "title", "list", "table",
+                                     "figure"};
+  if (layout_model.GetPostprocessor().GetNumClass() == 10) {
+    labels = {"text",      "title",         "figure", "figure_caption",
+              "table",     "table_caption", "header", "footer",
+              "reference", "equation"};
+  }
+  auto vis_im =
+      vision::VisDetection(im, res, labels, 0.3, 2, .5f, {255, 0, 0}, 2);
+  cv::imwrite("vis_result.jpg", vis_im);
+  std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
+#endif
+  return 0;
+}