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vehicle_cluster_based_on_classify_encoding_sample.cpp
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vehicle_cluster_based_on_classify_encoding_sample.cpp
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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();
}