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nodes/vp_primary_infer_node.h

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+
+
+#pragma once
+
+#include "vp_infer_node.h"
+
+namespace vp_nodes {
+    // primary infer node, it is the base class of infer node which MUST infer on the whole frame.
+    class vp_primary_infer_node: public vp_infer_node {
+    private:
+    protected:
+        // define how to prepare data
+        virtual void prepare(const std::vector<std::shared_ptr<vp_objects::vp_frame_meta>>& frame_meta_with_batch, std::vector<cv::Mat>& mats_to_infer) override;
+    public:
+        vp_primary_infer_node(std::string node_name, 
+                            std::string model_path, 
+                            std::string model_config_path = "", 
+                            std::string labels_path = "", 
+                            int input_width = 640, 
+                            int input_height = 640, 
+                            int batch_size = 1,
+                            int class_id_offset = 0,
+                            float scale = 1.0,
+                            cv::Scalar mean = cv::Scalar(123.675, 116.28, 103.53),  // imagenet dataset
+                            cv::Scalar std = cv::Scalar(1),
+                            bool swap_rb = true,
+                            bool swap_chn = false);
+        ~vp_primary_infer_node();
+
+        // because maybe multi primary infer nodes exist in one pipeline, 
+        // we need an offset value to ensure each class id is unique and has not conflict.
+        // the class_id_offset should be the sum of class ids in previous vp_primary_infer_node of pipe.
+        int class_id_offset;
+    };
+}