2022-11-4 VideoPipe可视化视频结构化框架新增功能详解

VideoPipe从国庆节上线源代码到现在经历过了一个月时间,期间吸引了若干小伙伴的参与,现将本阶段新增内容总结如下,有兴趣的朋友可以加微信拉群交流 。
项目地址:https://github.com/sherlockchou86/video_pipe_c
以往文章:https://www.cnblogs.com/xiaozhi_5638/p/16767917.html
跟踪插件新增了跟踪插件,同时实现了默认的SORT目标跟踪算法,后期扩展Deep SORT算法非常方便 。下面是车辆跟踪的效果(底部是pipe运行状态图):

2022-11-4 VideoPipe可视化视频结构化框架新增功能详解

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下面是人脸跟踪的效果:
2022-11-4 VideoPipe可视化视频结构化框架新增功能详解

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录像和截图插件新增了录像截图插件,同时提供了一个人工模拟录像或截图的接口供测试 。当用户向管道中发送录像、截图控制指令时,录像截图插件就开始异步工作 。下面是异步录像原理:
2022-11-4 VideoPipe可视化视频结构化框架新增功能详解

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日志库新增了一个轻量级的日志库,支持多线程异步日志写入、支持日志文件自动拆分 。日志没使用第三方库,下面是日志使用方法和效果:
1 // log level 2 VP_SET_LOG_LEVEL(_log_level); 3 // log file dir 4 VP_SET_LOG_DIR(_log_dir); 5 6 // log to console or not 7 VP_SET_LOG_TO_CONSOLE(_log_to_console); 8 // log to file or not 9 VP_SET_LOG_TO_FILE(_log_to_file);10 // TO-DO11 VP_SET_LOG_TO_KAFKA(_log_to_kafka);1213 // include log level or not14 VP_SET_LOG_INCLUDE_LEVEL(_include_level);15 // include code location or not (where the log occurs)16 VP_SET_LOG_INCLUDE_CODE_LOCATION(_include_code_location);17 // include thread id or not (std::this_thread::get_id())18 VP_SET_LOG_INCLUDE_THREAD_ID(_include_thread_id);1920 // warn if log cache in memory exceed this value21 VP_SET_LOG_CACHE_WARN_THRES(_log_cache_warn_threshold); 1 [2022-11-04 14:12:47.218][Info ] [file_src_0] reading frame complete, total frame==>354 2 [2022-11-04 14:12:47.219][Info ] [file_src_0] cycle flag is true, continue! 3 [2022-11-04 14:15:23.416][Warn ][7ffff7f81000][../nodes/vp_infer_node.cpp:39] [vehicle_detector] cv::dnn::readNet load network failed! 4 [2022-11-04 14:15:24.227][Info ][7ffff7f81000][../nodes/vp_screen_des_node.cpp:14] [screen_des_0] [appsrc ! videoconvert ! textoverlay text=screen_des_0 halignment=left valignment=top font-desc='Sans,16' shaded-background=true ! timeoverlay halignment=right valignment=top font-desc='Sans,16' shaded-background=true ! queue ! fpsdisplaysink video-sink=ximagesink sync=false] 5 [2022-11-04 14:15:24.227][Info ][7ffff7f81000][../utils/analysis_board/../vp_pipe_checker.h:167] 6 ############# pipe check summary ############## 7total layers: 5 8layer index,node names 91file_src_0,102vehicle_detector,113track_0,124osd_0,135screen_des_0,14 ############# pipe check summary ##############1516 [2022-11-04 14:16:04.638][Info ][7fff47318700][../nodes/vp_file_src_node.cpp:66] [file_src_0] reading frame complete, total frame==>99917 [2022-11-04 14:16:04.639][Info ][7fff47318700][../nodes/vp_file_src_node.cpp:68] [file_src_0] cycle flag is true, continue!18 [2022-11-04 14:16:45.258][Info ][7fff47318700][../nodes/vp_file_src_node.cpp:66] [file_src_0] reading frame complete, total frame==>199919 [2022-11-04 14:16:45.259][Info ][7fff47318700][../nodes/vp_file_src_node.cpp:68] [file_src_0] cycle flag is true, continue!20 [2022-11-04 14:17:25.838][Info ][7fff47318700][../nodes/vp_file_src_node.cpp:66] [file_src_0] reading frame complete, total frame==>299921 [2022-11-04 14:17:25.839][Info ][7fff47318700][../nodes/vp_file_src_node.cpp:68] [file_src_0] cycle flag is true, continue!22 [2022-11-04 14:18:06.498][Info ][7fff47318700][../nodes/vp_file_src_node.cpp:66] [file_src_0] reading frame complete, total frame==>3999sample代码新增加13个sample文件,可以独立运行,涵盖pipe结构、各种插件使用举例 。下面是1-1-1 sample代码和效果:
【2022-11-4 VideoPipe可视化视频结构化框架新增功能详解】 1 #include "VP.h" 2 3 #include "../nodes/vp_file_src_node.h" 4 #include "../nodes/infers/vp_yunet_face_detector_node.h" 5 #include "../nodes/infers/vp_sface_feature_encoder_node.h" 6 #include "../nodes/osd/vp_face_osd_node_v2.h" 7 #include "../nodes/vp_screen_des_node.h" 8 #include "../nodes/vp_rtmp_des_node.h" 910 #include "../utils/analysis_board/vp_analysis_board.h"1112 /*13 * ## 1-1-1 sample ##14 * 1 video input, 1 infer task, and 1 output.15 */1617 #if _1_1_1_sample1819 int main() {20VP_SET_LOG_INCLUDE_CODE_LOCATION(false);21VP_SET_LOG_INCLUDE_THREAD_ID(false);22VP_LOGGER_INIT();2324// create nodes25auto file_src_0 = std::make_shared<vp_nodes::vp_file_src_node>("file_src_0", 0, "./test_video/10.mp4", 0.6);26auto yunet_face_detector_0 = std::make_shared<vp_nodes::vp_yunet_face_detector_node>("yunet_face_detector_0", "./models/face/face_detection_yunet_2022mar.onnx");27auto sface_face_encoder_0 = std::make_shared<vp_nodes::vp_sface_feature_encoder_node>("sface_face_encoder_0", "./models/face/face_recognition_sface_2021dec.onnx");28auto osd_0 = std::make_shared<vp_nodes::vp_face_osd_node_v2>("osd_0");29auto screen_des_0 = std::make_shared<vp_nodes::vp_screen_des_node>("screen_des_0", 0);3031// construct pipeline32yunet_face_detector_0->attach_to({file_src_0});33sface_face_encoder_0->attach_to({yunet_face_detector_0});34osd_0->attach_to({sface_face_encoder_0});35screen_des_0->attach_to({osd_0});3637file_src_0->start();3839// for debug purpose40vp_utils::vp_analysis_board board({file_src_0});41board.display();42 }4344 #endif

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