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nodes/infers/vp_ppocr_text_detector_node.cpp

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+
+#ifdef VP_WITH_PADDLE
+#include "vp_ppocr_text_detector_node.h"
+#include "../../objects/vp_frame_text_target.h"
+
+namespace vp_nodes {
+        
+    vp_ppocr_text_detector_node::vp_ppocr_text_detector_node(std::string node_name, 
+                                                            std::string det_model_dir, 
+                                                            std::string cls_model_dir, 
+                                                            std::string rec_model_dir, 
+                                                            std::string rec_char_dict_path):
+                                                            vp_primary_infer_node(node_name, "") {
+        // to make the code simpler, paddle_ocr has no more config other than model path
+        // we need modify source code at ../../third_party/paddle_ocr/ if we need tune the parameters 
+        ocr = std::make_shared<PaddleOCR::PPOCR>(det_model_dir, cls_model_dir, rec_model_dir, rec_char_dict_path);
+        this->initialized();
+    }
+    
+    vp_ppocr_text_detector_node::~vp_ppocr_text_detector_node() {
+        deinitialized();
+    }
+    
+    void vp_ppocr_text_detector_node::postprocess(const std::vector<cv::Mat>& raw_outputs, const std::vector<std::shared_ptr<vp_objects::vp_frame_meta>>& frame_meta_with_batch) {
+
+    }
+    
+    // please refer to vp_infer_node::run_infer_combinations
+    void vp_ppocr_text_detector_node::run_infer_combinations(const std::vector<std::shared_ptr<vp_objects::vp_frame_meta>>& frame_meta_with_batch) {
+        assert(frame_meta_with_batch.size() == 1);
+        std::vector<cv::Mat> mats_to_infer;
+
+        // start
+        auto start_time = std::chrono::system_clock::now();
+
+        // prepare data, as same as base class
+        vp_primary_infer_node::prepare(frame_meta_with_batch, mats_to_infer);
+        auto prepare_time = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now() - start_time);
+
+        start_time = std::chrono::system_clock::now();
+        // call paddle ocr
+        auto ocr_results = ocr->ocr(mats_to_infer);
+        assert(ocr_results.size() == 1);
+
+        auto& ocr_result = ocr_results[0];
+        auto& frame_meta = frame_meta_with_batch[0];
+
+        // scan text detected in frame
+        for (int i = 0; i < ocr_result.size(); i++) {
+            /* code */
+            auto& text = ocr_result[i];
+            std::vector<std::pair<int, int>> region_vertexes = {{text.box[0][0], text.box[0][1]}, 
+                                                                {text.box[1][0], text.box[1][1]}, 
+                                                                {text.box[2][0], text.box[2][1]}, 
+                                                                {text.box[3][0], text.box[3][1]}};
+            // create text target and update back into frame meta
+            auto text_target = std::make_shared<vp_objects::vp_frame_text_target>(region_vertexes, text.text, text.score);
+            frame_meta->text_targets.push_back(text_target);
+        }
+        auto infer_time = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now() - start_time);
+
+        // can not calculate preprocess time and postprocess time, set 0 by default.
+        vp_infer_node::infer_combinations_time_cost(mats_to_infer.size(), prepare_time.count(), 0, infer_time.count(), 0);
+    }
+}
+#endif