Correct PP-Series models' name

examples/vision/ocr/PP-OCRv3/cpp/infer.cc

@@ -0,0 +1,94 @@
+// 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
+
+void InitAndInfer(const std::string& det_model_dir, const std::string& cls_model_dir, const std::string& rec_model_dir, const std::string& rec_label_file, const std::string& image_file, const fastdeploy::RuntimeOption& option) {
+  auto det_model_file = det_model_dir + sep + "inference.pdmodel";
+  auto det_params_file = det_model_dir + sep + "inference.pdiparams";
+
+  auto cls_model_file = cls_model_dir + sep + "inference.pdmodel";
+  auto cls_params_file = cls_model_dir + sep + "inference.pdiparams";
+
+  auto rec_model_file = rec_model_dir + sep + "inference.pdmodel";
+  auto rec_params_file = rec_model_dir + sep + "inference.pdiparams";
+
+  auto det_model = fastdeploy::vision::ocr::DBDetector(det_model_file, det_params_file, option);
+  auto cls_model = fastdeploy::vision::ocr::Classifier(cls_model_file, cls_params_file, option);
+  auto rec_model = fastdeploy::vision::ocr::Recognizer(rec_model_file, rec_params_file, rec_label_file, option);
+
+  assert(det_model.Initialized());
+  assert(cls_model.Initialized());
+  assert(rec_model.Initialized());
+
+  // The classification model is optional, so the OCR system can also be connected in series as follows
+  // auto ocr_system_v3 = fastdeploy::application::ocrsystem::PPOCRSystemv3(&det_model, &rec_model);
+  auto ocr_system_v3 = fastdeploy::application::ocrsystem::PPOCRSystemv3(&det_model, &cls_model, &rec_model);
+
+  auto im = cv::imread(image_file);
+  auto im_bak = im.clone();
+  
+  fastdeploy::vision::OCRResult result;
+  if (!ocr_system_v3.Predict(&im, &result)) {
+    std::cerr << "Failed to predict." << std::endl;
+    return;
+  }
+
+  std::cout << result.Str() << std::endl;
+
+  auto vis_im = fastdeploy::vision::Visualize::VisOcr(im_bak, result);
+  cv::imwrite("vis_result.jpg", vis_im);
+  std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
+}
+
+int main(int argc, char* argv[]) {
+  if (argc < 7) {
+    std::cout << "Usage: infer_demo path/to/det_model path/to/cls_model "
+                 "path/to/rec_model path/to/rec_label_file path/to/image "
+                 "run_option, "
+                 "e.g ./infer_demo ./ch_PP-OCRv3_det_infer "
+                 "./ch_ppocr_mobile_v2.0_cls_infer ./ch_PP-OCRv3_rec_infer "
+                 "./ppocr_keys_v1.txt ./12.jpg 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."
+              << std::endl;
+    return -1;
+  }
+
+  fastdeploy::RuntimeOption option;
+  int flag = std::atoi(argv[6]);
+
+  if (flag == 0) {
+    option.UseCpu(); 
+  } else if (flag == 1) {
+    option.UseGpu();
+  } else if (flag == 2) {
+    option.UseGpu();
+    option.UseTrtBackend();
+  }
+
+  std::string det_model_dir = argv[1];
+  std::string cls_model_dir = argv[2];
+  std::string rec_model_dir = argv[3];
+  std::string rec_label_file = argv[4];
+  std::string test_image = argv[5];
+  InitAndInfer(det_model_dir, cls_model_dir, rec_model_dir, rec_label_file, test_image, option);
+  return 0;
+}