add sample

wangrong

2025-01-23 02819b5c047bb354b0ef2374e7c6a6ac4bbd5bba

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#include "../nodes/vp_image_src_node.h" 
#include "../nodes/vp_file_src_node.h" 
#include "../nodes/infers/vp_trt_vehicle_detector.h" 
#include "../nodes/infers/vp_trt_vehicle_color_classifier.h" 
#include "../nodes/infers/vp_trt_vehicle_type_classifier.h" 
#include "../nodes/infers/vp_trt_vehicle_feature_encoder.h" 
#include "../nodes/track/vp_sort_track_node.h" 
#include "../nodes/osd/vp_osd_node.h" 
#include "../nodes/osd/vp_cluster_node.h" 
#include "../nodes/vp_screen_des_node.h" 
#include "../nodes/vp_fake_des_node.h" 
 
#include "../utils/analysis_board/vp_analysis_board.h" 
 
/* 
* ## vehicle_cluster_based_on_classify_encoding_sample ## 
* vehicle cluster based on classify(categories) and encoding(features), pipeline would display 3 windows (cluster by t-SNE, cluster by categories, detect osd result) 
*/ 
 
int main() { 
    VP_SET_LOG_LEVEL(vp_utils::vp_log_level::INFO); 
    VP_LOGGER_INIT(); 
 
    // create nodes 
    auto image_src_0 = std::make_shared<vp_nodes::vp_image_src_node>("image_src_0", 0, "./vp_data/test_images/vehicle/%d.jpg"); 
    //auto file_src_0 = std::make_shared<vp_nodes::vp_file_src_node>("file_src_0", 0, "./test_video/22.mp4"); 
    auto trt_vehicle_detector = std::make_shared<vp_nodes::vp_trt_vehicle_detector>("trt_detector", "./vp_data/models/trt/vehicle/vehicle_v8.5.trt"); 
    auto trt_vehicle_color_classifier = std::make_shared<vp_nodes::vp_trt_vehicle_color_classifier>("trt_color_cls", "./vp_data/models/trt/vehicle/vehicle_color_v8.5.trt", std::vector<int>{0, 1, 2}); 
    auto trt_vehicle_type_classifier = std::make_shared<vp_nodes::vp_trt_vehicle_type_classifier>("trt_type_cls", "./vp_data/models/trt/vehicle/vehicle_type_v8.5.trt", std::vector<int>{0, 1, 2}); 
    auto trt_vehicle_feature_encoder = std::make_shared<vp_nodes::vp_trt_vehicle_feature_encoder>("trt_encoder", "./vp_data/models/trt/vehicle/vehicle_embedding_v8.5.trt", std::vector<int>{0, 1, 2}); 
    auto osd_0 = std::make_shared<vp_nodes::vp_osd_node>("osd_0"); 
    auto screen_des_0 = std::make_shared<vp_nodes::vp_screen_des_node>("screen_des_0", 0); 
    auto cluster_0 = std::make_shared<vp_nodes::vp_cluster_node>("cluster_0", true, std::vector<std::string>{"red", "white", "black", "blue", "yellow", "bus", "small_truck", "van", "tanker"}, 1000); 
    auto fake_des_0 = std::make_shared<vp_nodes::vp_fake_des_node>("fake_des_0", 0); 
     
    // construct pipeline 
    trt_vehicle_detector->attach_to({image_src_0}); 
    //trt_vehicle_detector->attach_to({file_src_0}); 
    trt_vehicle_color_classifier->attach_to({trt_vehicle_detector}); 
    trt_vehicle_type_classifier->attach_to({trt_vehicle_color_classifier}); 
    trt_vehicle_feature_encoder->attach_to({trt_vehicle_type_classifier}); 
     
    // split into 2 branches automatically 
    /* branch of osd -> screen des*/ 
    osd_0->attach_to({trt_vehicle_feature_encoder}); 
    screen_des_0->attach_to({osd_0}); 
    /* branch of cluster -> fake des*/ 
    cluster_0->attach_to({trt_vehicle_feature_encoder}); 
    fake_des_0->attach_to({cluster_0});  // to keep pipeline complete 
 
    // start pipeline 
    image_src_0->start(); 
    //file_src_0->start(); 
 
    // visualize pipeline for debug 
    //vp_utils::vp_analysis_board board({file_src_0}); 
    vp_utils::vp_analysis_board board({image_src_0}); 
    board.display(); 
}