#include "../nodes/vp_image_src_node.h" #include "../nodes/infers/vp_yolo_detector_node.h" #include "../nodes/osd/vp_osd_node.h" #include "../nodes/vp_split_node.h" #include "../nodes/vp_screen_des_node.h" #include "../utils/analysis_board/vp_analysis_board.h" /* * ## image_des_sample ## * show how vp_image_src_node works, read image from local file or receive image from remote via udp. */ int main() { VP_SET_LOG_LEVEL(vp_utils::vp_log_level::INFO); VP_LOGGER_INIT(); // create nodes auto image_src_0 = std::make_shared("image_file_src_0", 0, "./vp_data/test_images/vehicle/%d.jpg", 1, 0.4); // read 1 image EVERY 1 second from local files, such as test_0.jpg,test_1.jpg /* sending command for test: `gst-launch-1.0 filesrc location=16.mp4 ! qtdemux ! avdec_h264 ! videoconvert ! videoscale ! video/x-raw,width=416,height=416 ! videorate ! video/x-raw,framerate=1/1 ! jpegenc ! rtpjpegpay ! udpsink host=ip port=6000` */ auto image_src_1 = std::make_shared("image_udp_src_1", 1, "6000", 3); // receive 1 image EVERY 3 seconds from remote via udp , such as 127.0.0.1:6000 auto yolo_detector = std::make_shared("yolo_detector", "./vp_data/models/det_cls/yolov3-tiny-2022-0721_best.weights", "./vp_data/models/det_cls/yolov3-tiny-2022-0721.cfg", "./vp_data/models/det_cls/yolov3_tiny_5classes.txt"); auto osd = std::make_shared("osd"); auto split = std::make_shared("split_by_channel", true); // split by channel index (important!) auto screen_des_0 = std::make_shared("screen_des_0", 0); auto screen_des_1 = std::make_shared("screen_des_1", 1); // construct pipeline yolo_detector->attach_to({image_src_0, image_src_1}); osd->attach_to({yolo_detector}); split->attach_to({osd}); screen_des_0->attach_to({split}); screen_des_1->attach_to({split}); image_src_0->start(); // start read from local file image_src_1->start(); // start receive from remote via udp // for debug purpose vp_utils::vp_analysis_board board({image_src_0, image_src_1}); board.display(); }