#include "../nodes/vp_file_src_node.h" #include "../nodes/infers/vp_trt_yolov8_detector.h" #include "../nodes/infers/vp_trt_yolov8_classifier.h" #include "../nodes/osd/vp_osd_node_v3.h" #include "../nodes/vp_screen_des_node.h" #include "../utils/analysis_board/vp_analysis_board.h" /* * ## trt yolov8 sample2 ## * detection/classification using yolov8 based on tensorrt */ int main() { VP_SET_LOG_LEVEL(vp_utils::vp_log_level::INFO); VP_LOGGER_INIT(); // create nodes auto file_src_0 = std::make_shared("file_src_0", 0, "./vp_data/test_video/mask_rcnn.mp4"); auto yolo8_detector = std::make_shared("yolo8_detector", "./vp_data/models/trt/others/yolov8s_v8.5.engine", "./vp_data/models/coco_80classes.txt"); auto yolo8_classifier = std::make_shared("yolo8_classifier", "./vp_data/models/trt/others/yolov8s-cls_v8.5.engine", "./vp_data/models/imagenet_1000labels1.txt"); auto osd = std::make_shared("osd", "./vp_data/font/NotoSansCJKsc-Medium.otf"); auto screen_des_0 = std::make_shared("screen_des_0", 0); // construct pipeline yolo8_detector->attach_to({file_src_0}); yolo8_classifier->attach_to({yolo8_detector}); osd->attach_to({yolo8_classifier}); screen_des_0->attach_to({osd}); // start pipeline file_src_0->start(); // visualize pipeline for debug vp_utils::vp_analysis_board board({file_src_0}); board.display(); }