[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
2026-04-23 00:17:25 +08:00 · 2023-05-05 13:05:58 +08:00
parent 2c5fd91a7f
commit 6d0261e9e4
26 changed files with 1255 additions and 23 deletions
@@ -0,0 +1,102 @@
+// 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 "fastdeploy/vision/ocr/ppocr/structurev2_layout.h"
+
+#include "fastdeploy/utils/perf.h"
+#include "fastdeploy/vision/ocr/ppocr/utils/ocr_utils.h"
+
+namespace fastdeploy {
+namespace vision {
+namespace ocr {
+
+StructureV2Layout::StructureV2Layout() {}
+StructureV2Layout::StructureV2Layout(const std::string& model_file,
+                                     const std::string& params_file,
+                                     const RuntimeOption& custom_option,
+                                     const ModelFormat& model_format) {
+  if (model_format == ModelFormat::ONNX) {
+    valid_cpu_backends = {Backend::ORT, Backend::OPENVINO};
+    valid_gpu_backends = {Backend::ORT, Backend::TRT};
+  } else {
+    valid_cpu_backends = {Backend::PDINFER, Backend::ORT, Backend::OPENVINO,
+                          Backend::LITE};
+    valid_gpu_backends = {Backend::PDINFER, Backend::ORT, Backend::TRT};
+    valid_kunlunxin_backends = {Backend::LITE};
+    valid_ascend_backends = {Backend::LITE};
+    valid_sophgonpu_backends = {Backend::SOPHGOTPU};
+    valid_rknpu_backends = {Backend::RKNPU2};
+  }
+
+  runtime_option = custom_option;
+  runtime_option.model_format = model_format;
+  runtime_option.model_file = model_file;
+  runtime_option.params_file = params_file;
+  initialized = Initialize();
+}
+
+bool StructureV2Layout::Initialize() {
+  if (!InitRuntime()) {
+    FDERROR << "Failed to initialize fastdeploy backend." << std::endl;
+    return false;
+  }
+  return true;
+}
+
+std::unique_ptr<StructureV2Layout> StructureV2Layout::Clone() const {
+  std::unique_ptr<StructureV2Layout> clone_model =
+      utils::make_unique<StructureV2Layout>(StructureV2Layout(*this));
+  clone_model->SetRuntime(clone_model->CloneRuntime());
+  return clone_model;
+}
+
+bool StructureV2Layout::Predict(cv::Mat* im, DetectionResult* result) {
+  return Predict(*im, result);
+}
+
+bool StructureV2Layout::Predict(const cv::Mat& im, DetectionResult* result) {
+  std::vector<DetectionResult> results;
+  if (!BatchPredict({im}, &results)) {
+    return false;
+  }
+  *result = std::move(results[0]);
+  return true;
+}
+
+bool StructureV2Layout::BatchPredict(const std::vector<cv::Mat>& images,
+                                     std::vector<DetectionResult>* results) {
+  std::vector<FDMat> fd_images = WrapMat(images);
+  if (!preprocessor_.Run(&fd_images, &reused_input_tensors_)) {
+    FDERROR << "Failed to preprocess input image." << std::endl;
+    return false;
+  }
+  auto batch_layout_img_info = preprocessor_.GetBatchLayoutImgInfo();
+
+  reused_input_tensors_[0].name = InputInfoOfRuntime(0).name;
+  if (!Infer(reused_input_tensors_, &reused_output_tensors_)) {
+    FDERROR << "Failed to inference by runtime." << std::endl;
+    return false;
+  }
+
+  if (!postprocessor_.Run(reused_output_tensors_, results,
+                          *batch_layout_img_info)) {
+    FDERROR << "Failed to postprocess the inference results." << std::endl;
+    return false;
+  }
+  return true;
+}
+
+}  // namespace ocr
+}  // namespace vision
+}  // namespace fastdeploy