update cpp_infer to 2.0

deploy/cpp_infer/include/config.h

@@ -25,9 +25,9 @@
 
 namespace PaddleOCR {
 
-class Config {
+class OCRConfig {
 public:
-  explicit Config(const std::string &config_file) {
+  explicit OCRConfig(const std::string &config_file) {
     config_map_ = LoadConfig(config_file);
 
     this->use_gpu = bool(stoi(config_map_["use_gpu"]));
@@ -41,8 +41,6 @@ public:
 
     this->use_mkldnn = bool(stoi(config_map_["use_mkldnn"]));
 
-    this->use_zero_copy_run = bool(stoi(config_map_["use_zero_copy_run"]));
-
     this->max_side_len = stoi(config_map_["max_side_len"]);
 
     this->det_db_thresh = stod(config_map_["det_db_thresh"]);
@@ -76,8 +74,6 @@ public:
 
   bool use_mkldnn = false;
 
-  bool use_zero_copy_run = false;
-
   int max_side_len = 960;
 
   double det_db_thresh = 0.3;

deploy/cpp_infer/include/ocr_cls.h

@@ -30,6 +30,8 @@
 #include <include/preprocess_op.h>
 #include <include/utility.h>
 
+using namespace paddle_infer;
+
 namespace PaddleOCR {
 
 class Classifier {
@@ -37,14 +39,12 @@ public:
   explicit Classifier(const std::string &model_dir, const bool &use_gpu,
                       const int &gpu_id, const int &gpu_mem,
                       const int &cpu_math_library_num_threads,
-                      const bool &use_mkldnn, const bool &use_zero_copy_run,
-                      const double &cls_thresh) {
+                      const bool &use_mkldnn, const double &cls_thresh) {
     this->use_gpu_ = use_gpu;
     this->gpu_id_ = gpu_id;
     this->gpu_mem_ = gpu_mem;
     this->cpu_math_library_num_threads_ = cpu_math_library_num_threads;
     this->use_mkldnn_ = use_mkldnn;
-    this->use_zero_copy_run_ = use_zero_copy_run;
 
     this->cls_thresh = cls_thresh;
 
@@ -57,14 +57,13 @@ public:
   cv::Mat Run(cv::Mat &img);
 
 private:
-  std::shared_ptr<PaddlePredictor> predictor_;
+  std::shared_ptr<Predictor> predictor_;
 
   bool use_gpu_ = false;
   int gpu_id_ = 0;
   int gpu_mem_ = 4000;
   int cpu_math_library_num_threads_ = 4;
   bool use_mkldnn_ = false;
-  bool use_zero_copy_run_ = false;
   double cls_thresh = 0.5;
 
   std::vector<float> mean_ = {0.5f, 0.5f, 0.5f};

deploy/cpp_infer/include/ocr_det.h

@@ -32,6 +32,8 @@
 #include <include/postprocess_op.h>
 #include <include/preprocess_op.h>
 
+using namespace paddle_infer;
+
 namespace PaddleOCR {
 
 class DBDetector {
@@ -39,8 +41,8 @@ public:
   explicit DBDetector(const std::string &model_dir, const bool &use_gpu,
                       const int &gpu_id, const int &gpu_mem,
                       const int &cpu_math_library_num_threads,
-                      const bool &use_mkldnn, const bool &use_zero_copy_run,
-                      const int &max_side_len, const double &det_db_thresh,
+                      const bool &use_mkldnn, const int &max_side_len,
+                      const double &det_db_thresh,
                       const double &det_db_box_thresh,
                       const double &det_db_unclip_ratio,
                       const bool &visualize) {
@@ -49,7 +51,6 @@ public:
     this->gpu_mem_ = gpu_mem;
     this->cpu_math_library_num_threads_ = cpu_math_library_num_threads;
     this->use_mkldnn_ = use_mkldnn;
-    this->use_zero_copy_run_ = use_zero_copy_run;
 
     this->max_side_len_ = max_side_len;
 
@@ -69,14 +70,13 @@ public:
   void Run(cv::Mat &img, std::vector<std::vector<std::vector<int>>> &boxes);
 
 private:
-  std::shared_ptr<PaddlePredictor> predictor_;
+  std::shared_ptr<Predictor> predictor_;
 
   bool use_gpu_ = false;
   int gpu_id_ = 0;
   int gpu_mem_ = 4000;
   int cpu_math_library_num_threads_ = 4;
   bool use_mkldnn_ = false;
-  bool use_zero_copy_run_ = false;
 
   int max_side_len_ = 960;
 

deploy/cpp_infer/include/ocr_rec.h

@@ -32,6 +32,8 @@
 #include <include/preprocess_op.h>
 #include <include/utility.h>
 
+using namespace paddle_infer;
+
 namespace PaddleOCR {
 
 class CRNNRecognizer {
@@ -39,14 +41,12 @@ public:
   explicit CRNNRecognizer(const std::string &model_dir, const bool &use_gpu,
                           const int &gpu_id, const int &gpu_mem,
                           const int &cpu_math_library_num_threads,
-                          const bool &use_mkldnn, const bool &use_zero_copy_run,
-                          const string &label_path) {
+                          const bool &use_mkldnn, const string &label_path) {
     this->use_gpu_ = use_gpu;
     this->gpu_id_ = gpu_id;
     this->gpu_mem_ = gpu_mem;
     this->cpu_math_library_num_threads_ = cpu_math_library_num_threads;
     this->use_mkldnn_ = use_mkldnn;
-    this->use_zero_copy_run_ = use_zero_copy_run;
 
     this->label_list_ = Utility::ReadDict(label_path);
     this->label_list_.insert(this->label_list_.begin(),
@@ -63,14 +63,13 @@ public:
            Classifier *cls);
 
 private:
-  std::shared_ptr<PaddlePredictor> predictor_;
+  std::shared_ptr<Predictor> predictor_;
 
   bool use_gpu_ = false;
   int gpu_id_ = 0;
   int gpu_mem_ = 4000;
   int cpu_math_library_num_threads_ = 4;
   bool use_mkldnn_ = false;
-  bool use_zero_copy_run_ = false;
 
   std::vector<std::string> label_list_;
 

deploy/cpp_infer/src/config.cpp

@@ -16,7 +16,7 @@
 
 namespace PaddleOCR {
 
-std::vector<std::string> Config::split(const std::string &str,
+std::vector<std::string> OCRConfig::split(const std::string &str,
                                           const std::string &delim) {
   std::vector<std::string> res;
   if ("" == str)
@@ -38,7 +38,7 @@ std::vector<std::string> Config::split(const std::string &str,
 }
 
 std::map<std::string, std::string>
-Config::LoadConfig(const std::string &config_path) {
+OCRConfig::LoadConfig(const std::string &config_path) {
   auto config = Utility::ReadDict(config_path);
 
   std::map<std::string, std::string> dict;
@@ -53,7 +53,7 @@ Config::LoadConfig(const std::string &config_path) {
   return dict;
 }
 
-void Config::PrintConfigInfo() {
+void OCRConfig::PrintConfigInfo() {
   std::cout << "=======Paddle OCR inference config======" << std::endl;
   for (auto iter = config_map_.begin(); iter != config_map_.end(); iter++) {
     std::cout << iter->first << " : " << iter->second << std::endl;

deploy/cpp_infer/src/main.cpp

@@ -42,7 +42,7 @@ int main(int argc, char **argv) {
     exit(1);
   }
 
-  Config config(argv[1]);
+  OCRConfig config(argv[1]);
 
   config.PrintConfigInfo();
 
@@ -50,24 +50,22 @@ int main(int argc, char **argv) {
 
   cv::Mat srcimg = cv::imread(img_path, cv::IMREAD_COLOR);
 
-  DBDetector det(
-      config.det_model_dir, config.use_gpu, config.gpu_id, config.gpu_mem,
-      config.cpu_math_library_num_threads, config.use_mkldnn,
-      config.use_zero_copy_run, config.max_side_len, config.det_db_thresh,
-      config.det_db_box_thresh, config.det_db_unclip_ratio, config.visualize);
+  DBDetector det(config.det_model_dir, config.use_gpu, config.gpu_id,
+                 config.gpu_mem, config.cpu_math_library_num_threads,
+                 config.use_mkldnn, config.max_side_len, config.det_db_thresh,
+                 config.det_db_box_thresh, config.det_db_unclip_ratio,
+                 config.visualize);
 
   Classifier *cls = nullptr;
   if (config.use_angle_cls == true) {
     cls = new Classifier(config.cls_model_dir, config.use_gpu, config.gpu_id,
                          config.gpu_mem, config.cpu_math_library_num_threads,
-                         config.use_mkldnn, config.use_zero_copy_run,
-                         config.cls_thresh);
+                         config.use_mkldnn, config.cls_thresh);
   }
 
   CRNNRecognizer rec(config.rec_model_dir, config.use_gpu, config.gpu_id,
                      config.gpu_mem, config.cpu_math_library_num_threads,
-                     config.use_mkldnn, config.use_zero_copy_run,
-                     config.char_list_file);
+                     config.use_mkldnn, config.char_list_file);
 
 #ifdef USE_MKL
 #pragma omp parallel

deploy/cpp_infer/src/ocr_cls.cpp

@@ -35,26 +35,16 @@ cv::Mat Classifier::Run(cv::Mat &img) {
   this->permute_op_.Run(&resize_img, input.data());
 
   // Inference.
-  if (this->use_zero_copy_run_) {
   auto input_names = this->predictor_->GetInputNames();
-    auto input_t = this->predictor_->GetInputTensor(input_names[0]);
+  auto input_t = this->predictor_->GetInputHandle(input_names[0]);
   input_t->Reshape({1, 3, resize_img.rows, resize_img.cols});
-    input_t->copy_from_cpu(input.data());
-    this->predictor_->ZeroCopyRun();
-  } else {
-    paddle::PaddleTensor input_t;
-    input_t.shape = {1, 3, resize_img.rows, resize_img.cols};
-    input_t.data =
-        paddle::PaddleBuf(input.data(), input.size() * sizeof(float));
-    input_t.dtype = PaddleDType::FLOAT32;
-    std::vector<paddle::PaddleTensor> outputs;
-    this->predictor_->Run({input_t}, &outputs, 1);
-  }
+  input_t->CopyFromCpu(input.data());
+  this->predictor_->Run();
 
   std::vector<float> softmax_out;
   std::vector<int64_t> label_out;
   auto output_names = this->predictor_->GetOutputNames();
-  auto softmax_out_t = this->predictor_->GetOutputTensor(output_names[0]);
+  auto softmax_out_t = this->predictor_->GetOutputHandle(output_names[0]);
   auto softmax_shape_out = softmax_out_t->shape();
 
   int softmax_out_num =
@@ -63,7 +53,7 @@ cv::Mat Classifier::Run(cv::Mat &img) {
 
   softmax_out.resize(softmax_out_num);
 
-  softmax_out_t->copy_to_cpu(softmax_out.data());
+  softmax_out_t->CopyToCpu(softmax_out.data());
 
   float score = 0;
   int label = 0;
@@ -95,7 +85,7 @@ void Classifier::LoadModel(const std::string &model_dir) {
   }
 
   // false for zero copy tensor
-  config.SwitchUseFeedFetchOps(!this->use_zero_copy_run_);
+  config.SwitchUseFeedFetchOps(false);
   // true for multiple input
   config.SwitchSpecifyInputNames(true);
 
@@ -104,6 +94,6 @@ void Classifier::LoadModel(const std::string &model_dir) {
   config.EnableMemoryOptim();
   config.DisableGlogInfo();
 
-  this->predictor_ = CreatePaddlePredictor(config);
+  this->predictor_ = CreatePredictor(config);
 }
 } // namespace PaddleOCR

deploy/cpp_infer/src/ocr_det.cpp

@@ -17,12 +17,17 @@
 namespace PaddleOCR {
 
 void DBDetector::LoadModel(const std::string &model_dir) {
-  AnalysisConfig config;
+  //   AnalysisConfig config;
+  paddle_infer::Config config;
   config.SetModel(model_dir + "/inference.pdmodel",
                   model_dir + "/inference.pdiparams");
 
   if (this->use_gpu_) {
     config.EnableUseGpu(this->gpu_mem_, this->gpu_id_);
+    //     config.EnableTensorRtEngine(
+    //           1 << 20, 1, 3,
+    //           AnalysisConfig::Precision::kFloat32,
+    //           false, false);
   } else {
     config.DisableGpu();
     if (this->use_mkldnn_) {
@@ -32,10 +37,8 @@ void DBDetector::LoadModel(const std::string &model_dir) {
     }
     config.SetCpuMathLibraryNumThreads(this->cpu_math_library_num_threads_);
   }
-
-  // false for zero copy tensor
-  // true for commom tensor
-  config.SwitchUseFeedFetchOps(!this->use_zero_copy_run_);
+  // use zero_copy_run as default
+  config.SwitchUseFeedFetchOps(false);
   // true for multiple input
   config.SwitchSpecifyInputNames(true);
 
@@ -44,7 +47,7 @@ void DBDetector::LoadModel(const std::string &model_dir) {
   config.EnableMemoryOptim();
   config.DisableGlogInfo();
 
-  this->predictor_ = CreatePaddlePredictor(config);
+  this->predictor_ = CreatePredictor(config);
 }
 
 void DBDetector::Run(cv::Mat &img,
@@ -64,31 +67,21 @@ void DBDetector::Run(cv::Mat &img,
   this->permute_op_.Run(&resize_img, input.data());
 
   // Inference.
-  if (this->use_zero_copy_run_) {
   auto input_names = this->predictor_->GetInputNames();
-    auto input_t = this->predictor_->GetInputTensor(input_names[0]);
+  auto input_t = this->predictor_->GetInputHandle(input_names[0]);
   input_t->Reshape({1, 3, resize_img.rows, resize_img.cols});
-    input_t->copy_from_cpu(input.data());
-    this->predictor_->ZeroCopyRun();
-  } else {
-    paddle::PaddleTensor input_t;
-    input_t.shape = {1, 3, resize_img.rows, resize_img.cols};
-    input_t.data =
-        paddle::PaddleBuf(input.data(), input.size() * sizeof(float));
-    input_t.dtype = PaddleDType::FLOAT32;
-    std::vector<paddle::PaddleTensor> outputs;
-    this->predictor_->Run({input_t}, &outputs, 1);
-  }
+  input_t->CopyFromCpu(input.data());
+  this->predictor_->Run();
 
   std::vector<float> out_data;
   auto output_names = this->predictor_->GetOutputNames();
-  auto output_t = this->predictor_->GetOutputTensor(output_names[0]);
+  auto output_t = this->predictor_->GetOutputHandle(output_names[0]);
   std::vector<int> output_shape = output_t->shape();
   int out_num = std::accumulate(output_shape.begin(), output_shape.end(), 1,
                                 std::multiplies<int>());
 
   out_data.resize(out_num);
-  output_t->copy_to_cpu(out_data.data());
+  output_t->CopyToCpu(out_data.data());
 
   int n2 = output_shape[2];
   int n3 = output_shape[3];

deploy/cpp_infer/src/ocr_rec.cpp

@@ -43,32 +43,22 @@ void CRNNRecognizer::Run(std::vector<std::vector<std::vector<int>>> boxes,
     this->permute_op_.Run(&resize_img, input.data());
 
     // Inference.
-    if (this->use_zero_copy_run_) {
     auto input_names = this->predictor_->GetInputNames();
-      auto input_t = this->predictor_->GetInputTensor(input_names[0]);
+    auto input_t = this->predictor_->GetInputHandle(input_names[0]);
     input_t->Reshape({1, 3, resize_img.rows, resize_img.cols});
-      input_t->copy_from_cpu(input.data());
-      this->predictor_->ZeroCopyRun();
-    } else {
-      paddle::PaddleTensor input_t;
-      input_t.shape = {1, 3, resize_img.rows, resize_img.cols};
-      input_t.data =
-          paddle::PaddleBuf(input.data(), input.size() * sizeof(float));
-      input_t.dtype = PaddleDType::FLOAT32;
-      std::vector<paddle::PaddleTensor> outputs;
-      this->predictor_->Run({input_t}, &outputs, 1);
-    }
+    input_t->CopyFromCpu(input.data());
+    this->predictor_->Run();
 
     std::vector<float> predict_batch;
     auto output_names = this->predictor_->GetOutputNames();
-    auto output_t = this->predictor_->GetOutputTensor(output_names[0]);
+    auto output_t = this->predictor_->GetOutputHandle(output_names[0]);
     auto predict_shape = output_t->shape();
 
     int out_num = std::accumulate(predict_shape.begin(), predict_shape.end(), 1,
                                   std::multiplies<int>());
     predict_batch.resize(out_num);
 
-    output_t->copy_to_cpu(predict_batch.data());
+    output_t->CopyToCpu(predict_batch.data());
 
     // ctc decode
     std::vector<std::string> str_res;
@@ -102,7 +92,8 @@ void CRNNRecognizer::Run(std::vector<std::vector<std::vector<int>>> boxes,
 }
 
 void CRNNRecognizer::LoadModel(const std::string &model_dir) {
-  AnalysisConfig config;
+  //   AnalysisConfig config;
+  paddle_infer::Config config;
   config.SetModel(model_dir + "/inference.pdmodel",
                   model_dir + "/inference.pdiparams");
 
@@ -118,9 +109,7 @@ void CRNNRecognizer::LoadModel(const std::string &model_dir) {
     config.SetCpuMathLibraryNumThreads(this->cpu_math_library_num_threads_);
   }
 
-  // false for zero copy tensor
-  // true for commom tensor
-  config.SwitchUseFeedFetchOps(!this->use_zero_copy_run_);
+  config.SwitchUseFeedFetchOps(false);
   // true for multiple input
   config.SwitchSpecifyInputNames(true);
 
@@ -129,7 +118,7 @@ void CRNNRecognizer::LoadModel(const std::string &model_dir) {
   config.EnableMemoryOptim();
   config.DisableGlogInfo();
 
-  this->predictor_ = CreatePaddlePredictor(config);
+  this->predictor_ = CreatePredictor(config);
 }
 
 cv::Mat CRNNRecognizer::GetRotateCropImage(const cv::Mat &srcimage,

deploy/cpp_infer/tools/config.txt

@@ -4,14 +4,13 @@ gpu_id  0
 gpu_mem  4000
 cpu_math_library_num_threads  10
 use_mkldnn 0
-use_zero_copy_run 1
 
 # det config
 max_side_len  960
 det_db_thresh  0.3
 det_db_box_thresh  0.5
 det_db_unclip_ratio  2.0
-det_model_dir  ./inference/ch__ppocr_mobile_v2.0_det_infer/
+det_model_dir  ../../../deploy/cpp_infer/inference/ch_ppocr_mobile_v2.0_det_infer/
 
 # cls config
 use_angle_cls 0
@@ -19,7 +18,7 @@ cls_model_dir  ./inference/ch_ppocr_mobile_v2.0_cls_infer/
 cls_thresh  0.9
 
 # rec config
-rec_model_dir  ./inference/ch_ppocr_mobile_v2.0_rec_infer/
+rec_model_dir  ../../../deploy/cpp_infer/inference/ch_ppocr_mobile_v2.0_rec_infer/
 char_list_file ../../ppocr/utils/ppocr_keys_v1.txt
 
 # show the detection results