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一.检测人脸并拍照
1.流程：
这个功能只需要用一个主线程就可以完成，首先要初始化 VI 模块、ROCKX 模块并启动 VI 模块采集摄像头数据。
初始化完成之后，则开始获取每一帧的 VI 码流数据，并且用 rockx 框架对每一帧视频数据进行人脸检测，若检测出人脸则用Opencv 对人脸图像进行截取，并用 opencv 的 API 把 NV12 图像转换为 BGR 图像，最后把转换后的 BGR 图像保存起来。
2.代码实现
/****************************************************************************** Copyright (c) 2017 - 2019 by Rockchip Corp. All rights reserved.** The material in this file is confidential and contains trade secrets* of Rockchip Corporation. This is proprietary information owned by* Rockchip Corporation. No part of this work may be disclosed,* reproduced, copied, transmitted, or used in any way for any purpose,* without the express written permission of Rockchip Corporation.******************************************************************************/
#include <assert.h>
#include <cstddef>
#include <fcntl.h>
#include <getopt.h>
#include <opencv2/imgproc.hpp>
#include <opencv2/imgproc/imgproc_c.h>
#include <pthread.h>
#include <signal.h>
#include <stdbool.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <unistd.h>// #include "common/sample_common.h"
#include "rkmedia_api.h"
#include "rknn_rockx_include/rockx_type.h"
#include "rockx.h"
#include <opencv2/core.hpp>
// #include <opencv2/imgoroc.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/opencv.hpp>#define CAMERA_PATH "rkispp_scale0"
#define CAMERA_ID 0
#define CAMERA_CHN 0
#define WIDTH 1920
#define HEIGHT 1080
using namespace cv;void nv12ToBGR(uint8_t *nv12_buf, int width, int height, uint8_t *bgr_buf)
{Mat nv12_mat(height + height / 2, width, CV_8UC1, nv12_buf);//这里面height + height / 2是NV12单通道保存的格式Mat bgr_mat(height, width, CV_8UC3, bgr_buf);cvtColor(nv12_mat, bgr_mat, COLOR_YUV2BGR_NV12);
}int main(int argc, char **argv)
{//**********************VI模块初始化**********************************/int ret;VI_CHN_ATTR_S vi_chn_attr;vi_chn_attr.pcVideoNode = CAMERA_PATH; // Pathvi_chn_attr.u32Width = 1920; // Widthvi_chn_attr.u32Height = 1080; // Heightvi_chn_attr.enPixFmt = IMAGE_TYPE_NV12; // ImageTypevi_chn_attr.enBufType = VI_CHN_BUF_TYPE_MMAP; // BufTypevi_chn_attr.u32BufCnt = 3; // Cntvi_chn_attr.enWorkMode = VI_WORK_MODE_NORMAL; // Moderet = RK_MPI_VI_SetChnAttr(CAMERA_ID, CAMERA_CHN, &vi_chn_attr);if (ret){printf("Vi Set Attr Failed.....\n");return 0;}else{printf("Vi Set Attr Success.....\n");}ret = RK_MPI_VI_EnableChn(CAMERA_ID, CAMERA_CHN);if (ret){printf("Vi Enable Attr Failed.....\n");return 0;}else{printf("Vi Enable Attr Success.....\n");}ret = RK_MPI_VI_StartStream(CAMERA_ID, CAMERA_CHN);if (ret){printf("RK_MPI_VI_StartStream Failed.....\n");return 0;}else{printf("RK_MPI_VI_StartStream Success.....\n");}//******************************ROCKX模型初始化*************************/rockx_config_t *face_detect_config = rockx_create_config();rockx_add_config(face_detect_config, ROCKX_CONFIG_DATA_PATH, "/userdata/rockx_data");rockx_handle_t face_detect_handle;rockx_ret_t face_detect_ret;rockx_module_t face_detect_module = ROCKX_MODULE_FACE_DETECTION_V3;face_detect_ret = rockx_create(&face_detect_handle, face_detect_module, face_detect_config, 0);if (face_detect_ret != ROCKX_RET_SUCCESS){printf("rockx_create face_detect failed...\n");return -1;}//******************************ROCKX图像初始化*************************/rockx_image_t rv1126_rockx_image;//图像数据rv1126_rockx_image.width = WIDTH;//图像宽度rv1126_rockx_image.height = HEIGHT;//图像高度rv1126_rockx_image.pixel_format = ROCKX_PIXEL_FORMAT_YUV420SP_NV12;//图像格式//******************************图像数据获取*************************/MEDIA_BUFFER mb;uint8_t *bgr = new uint8_t[WIDTH * HEIGHT * 3];//用于存放单通道转换为三通道的图像数据char face_id[64]; //用于存放人脸idwhile (1){//从VI模块获取数据mb = RK_MPI_SYS_GetMediaBuffer(RK_ID_VI, CAMERA_CHN, -1);if (!mb){printf("Get Vi Stream break....\n");break;}//VI模块数据放入rockx_image_t结构体里面rv1126_rockx_image.data = (uint8_t *)RK_MPI_MB_GetPtr(mb);rv1126_rockx_image.size = RK_MPI_MB_GetSize(mb);//开启人脸检测rockx_object_array_t face_detect_array;face_detect_ret = rockx_face_detect(face_detect_handle, &rv1126_rockx_image, &face_detect_array, NULL);if (face_detect_ret != ROCKX_RET_SUCCESS){printf("face_detect failed....\n");}//获取人脸检测框if(face_detect_array.count > 0){printf("snap shot face detect success!\n");Mat face_img = Mat(HEIGHT, WIDTH, CV_8UC1, rv1126_rockx_image.data);//将图像数据转换为Mat单通道格式(也就是灰色图像)nv12ToBGR(face_img.data, WIDTH, HEIGHT, bgr);//将NV12格式转换为BGR格式,这个函数是自己定义的Mat out_mat = Mat(HEIGHT, WIDTH, CV_8UC3, bgr);//将BGR格式图像数据转换为Mat三通道格式(也就是彩色图像)srand(time(NULL));//设置随机数种子sprintf(face_id, "face_%d.jpg", rand());//生成随机数作为人脸idimwrite(face_id, out_mat);//将人脸图像保存到本地}RK_MPI_MB_ReleaseBuffer(mb);}delete[] bgr; //释放内存return 0;
}
3.效果：亲测可以
二.ROCKX+RV1126 实现 1->N 人脸识别功能
1.流程：
首先要初始化 RV1126 模块初始化，包括 VI 模块、VENC 模块、人脸检测 rockx 模块、人脸识别rockx 模块，初始化模块之后，就要分两个线程做处理。
主流程是先读取单张图片的图像并提取人脸特征值，然后死循环获取 VI 的码流数据，然后用 rockx 的人脸检测模块 RV1126 的 VI数据是否有人脸，如果有人脸则调用 rockx 的人脸识别模块识别出 RV1126 视频流的人脸数据并且提取出来。然后对比两个人脸的阈值，如果<=1.0，则认定单张人脸图片和 RV1126 检测的人脸是同一个，否则就不是同一个人，并把数据通过 Opencv 显示到VI 数据，最后把识别后的 VI 数据传输到 VENC 编码器里面
get_rockx_face_recg_venc_thread 线程主要是获取每一帧的 VENC 码流数据，并且保存起来。
2.代码实现
/****************************************************************************** Copyright (c) 2017 - 2019 by Rockchip Corp. All rights reserved.** The material in this file is confidential and contains trade secrets* of Rockchip Corporation. This is proprietary information owned by* Rockchip Corporation. No part of this work may be disclosed,* reproduced, copied, transmitted, or used in any way for any purpose,* without the express written permission of Rockchip Corporation.******************************************************************************/
#include <assert.h>
#include <cstddef>
#include <fcntl.h>
#include <getopt.h>
#include <opencv2/imgproc.hpp>
#include <opencv2/imgproc/imgproc_c.h>
#include <pthread.h>
#include <signal.h>
#include <stdbool.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <unistd.h>// #include "common/sample_common.h"
#include "rkmedia_api.h"
#include "rknn_rockx_include/rockx_type.h"
#include "rockx.h"
#include <opencv2/core.hpp>
// #include <opencv2/imgoroc.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/opencv.hpp>#define CAMERA_PATH "rkispp_scale0"
#define CAMERA_ID 0
#define CAMERA_CHN 0
#define VENC_CHN 0
#define WIDTH 1920
#define HEIGHT 1080
using namespace cv;String name; //用于存放人脸名字
void* venc_thread_func(void *args)
{pthread_detach(pthread_self());FILE *fp = fopen("test.h264", "w+");MEDIA_BUFFER mb = NULL;while (1){mb = RK_MPI_SYS_GetMediaBuffer(RK_ID_VENC,VENC_CHN, -1);if (!mb){printf("RK_MPI_SYS_GetMediaBuffer RK_ID_VENC failed\n");break;}fwrite(RK_MPI_MB_GetPtr(mb), RK_MPI_MB_GetSize(mb),1 , fp);RK_MPI_MB_ReleaseBuffer(mb);}return NULL;
}/*void nv12ToBGR(uint8_t *nv12_buf, int width, int height, uint8_t *bgr_buf)
{Mat nv12_mat(height + height / 2, width, CV_8UC1, nv12_buf);Mat bgr_mat(height, width, CV_8UC3, bgr_buf);cvtColor(nv12_mat, bgr_mat, COLOR_YUV2BGR_NV12);
}
*/int main(int argc, char **argv)
{//**********************VI模块初始化**********************************/int ret;VI_CHN_ATTR_S vi_chn_attr;vi_chn_attr.pcVideoNode = CAMERA_PATH; // Pathvi_chn_attr.u32Width = 1920; // Widthvi_chn_attr.u32Height = 1080; // Heightvi_chn_attr.enPixFmt = IMAGE_TYPE_NV12; // ImageTypevi_chn_attr.enBufType = VI_CHN_BUF_TYPE_MMAP; // BufTypevi_chn_attr.u32BufCnt = 3; // Cntvi_chn_attr.enWorkMode = VI_WORK_MODE_NORMAL; // Moderet = RK_MPI_VI_SetChnAttr(CAMERA_ID, CAMERA_CHN, &vi_chn_attr);if (ret){printf("Vi Set Attr Failed.....\n");return 0;}else{printf("Vi Set Attr Success.....\n");}ret = RK_MPI_VI_EnableChn(CAMERA_ID, CAMERA_CHN);if (ret){printf("Vi Enable Attr Failed.....\n");return 0;}else{printf("Vi Enable Attr Success.....\n");}VENC_CHN_ATTR_S venc_chn_attr;memset(&venc_chn_attr, 0, sizeof(VENC_CHN_ATTR_S));venc_chn_attr.stVencAttr.u32PicWidth = 1920;venc_chn_attr.stVencAttr.u32PicHeight = 1080;venc_chn_attr.stVencAttr.u32VirWidth = 1920;venc_chn_attr.stVencAttr.u32VirHeight = 1080;venc_chn_attr.stVencAttr.imageType = IMAGE_TYPE_NV12;venc_chn_attr.stVencAttr.enType = RK_CODEC_TYPE_H264;venc_chn_attr.stVencAttr.u32Profile = 66;venc_chn_attr.stRcAttr.enRcMode = VENC_RC_MODE_H264CBR;venc_chn_attr.stRcAttr.stH264Cbr.u32Gop = 25;venc_chn_attr.stRcAttr.stH264Cbr.u32BitRate = 1920 * 1080 * 3;venc_chn_attr.stRcAttr.stH264Cbr.fr32DstFrameRateDen = 1;venc_chn_attr.stRcAttr.stH264Cbr.fr32DstFrameRateNum = 25;venc_chn_attr.stRcAttr.stH264Cbr.u32SrcFrameRateDen = 1;venc_chn_attr.stRcAttr.stH264Cbr.u32SrcFrameRateNum = 25;ret = RK_MPI_VENC_CreateChn(VENC_CHN, &venc_chn_attr);if (ret){printf("ERROR: Create venc failed!\n");return 0;}ret = RK_MPI_VI_StartStream(CAMERA_ID, CAMERA_CHN);if (ret){printf("RK_MPI_VI_StartStream Failed.....\n");return 0;}else{printf("RK_MPI_VI_StartStream Success.....\n");}//******************************ROCKX模型初始化*************************/rockx_ret_t ret1;rockx_config_t *face_detect_config = rockx_create_config();ret1 = rockx_add_config(face_detect_config, ROCKX_CONFIG_DATA_PATH, "/userdata/rockx_data");if (ret1 != ROCKX_RET_SUCCESS){printf("ERROR: rockx_add_config failed!\n");return -1;}//ROCKX检测人脸模块初始化rockx_handle_t face_detect_handle;rockx_ret_t face_detect_ret;rockx_module_t face_detect_module = ROCKX_MODULE_FACE_DETECTION_V3;face_detect_ret = rockx_create(&face_detect_handle, face_detect_module, face_detect_config, 0);if (face_detect_ret != ROCKX_RET_SUCCESS){printf("rockx_create face_detect failed...\n");return -1;}//ROCKX人脸识别模块初始化rockx_handle_t face_find_handle;rockx_ret_t face_find_ret;rockx_module_t face_find_module = ROCKX_MODULE_FACE_RECOGNIZE;face_find_ret = rockx_create(&face_find_handle, face_find_module, face_detect_config, 0);if (face_find_ret != ROCKX_RET_SUCCESS){printf("rockx_create face_detect failed...\n");return -1;}//******************************ROCKX读取单张脸特征*************************///读取人脸图片rockx_ret_t read;const char *image_path = argv[1];rockx_image_t face_image;read = rockx_image_read(image_path, &face_image, 1);if (read != ROCKX_RET_SUCCESS){printf("rockx_image_read failed...\n");return -1;}//读取人脸特征rockx_ret_t regnize;rockx_face_feature_t pic_face_feature;regnize = rockx_face_recognize(face_find_handle, &face_image, &pic_face_feature);if (regnize != ROCKX_RET_SUCCESS){printf("rockx_face_recognize failed...\n");return -1;}//****************************线程获取VENC数据******************************/pthread_t venc_thread;pthread_create(&venc_thread, NULL, venc_thread_func, NULL);//******************************ROCKX图像初始化*************************/rockx_image_t rv1126_rockx_image;//图像数据rv1126_rockx_image.width = WIDTH;//图像宽度rv1126_rockx_image.height = HEIGHT;//图像高度rv1126_rockx_image.pixel_format = ROCKX_PIXEL_FORMAT_YUV420SP_NV12;//图像格式//******************************图像数据获取*************************/MEDIA_BUFFER mb = NULL;Point testPoint; //用于存放人脸位置testPoint.x = 300;testPoint.y = 300;rockx_ret_t face1;rockx_ret_t face2;rockx_ret_t face3;float similarity = 0;while (1){//从VI模块获取数据mb = RK_MPI_SYS_GetMediaBuffer(RK_ID_VI, CAMERA_CHN, -1);if (!mb){printf("Get Vi Stream break....\n");break;}//VI模块数据放入rockx_image_t结构体里面rv1126_rockx_image.data = (uint8_t *)RK_MPI_MB_GetPtr(mb);rv1126_rockx_image.size = RK_MPI_MB_GetSize(mb);Mat face_rect = Mat(HEIGHT, WIDTH, CV_8UC1, rv1126_rockx_image.data);//将图像数据转换为Mat格式//开启人脸检测rockx_object_array_t face_detect_array;face1 = rockx_face_detect(face_detect_handle, &rv1126_rockx_image, &face_detect_array, NULL);if (face1 != ROCKX_RET_SUCCESS){printf("face_detect failed....\n");}//获取VI人脸特征 rockx_face_feature_t out_facture;if(face_detect_array.count > 0 ){face2 = rockx_face_recognize(face_find_handle, &rv1126_rockx_image, &out_facture);if (face2 != ROCKX_RET_SUCCESS){printf("face_recognize failed....\n");}//对比人脸特征face3 = rockx_face_feature_similarity(&pic_face_feature, &out_facture, &similarity);if (face3 != ROCKX_RET_SUCCESS){printf("face_feature_similarity failed....\n");}if (similarity <= 1){name = "rockx";printf("This is rockx\n");}else{name = "";printf("Can not recognize...\n");}//把名字放到框上面putText(face_rect, name, testPoint, FONT_HERSHEY_SIMPLEX, 1, Scalar(0, 0, 255), 2);}//把上面处理好的VI数据传给VENCRK_MPI_SYS_SendMediaBuffer( RK_ID_VENC, VENC_CHN, mb);RK_MPI_MB_ReleaseBuffer(mb);}//释放内存RK_MPI_VENC_DestroyChn(VENC_CHN); //释放VENC通道RK_MPI_VI_DisableChn(CAMERA_ID,CAMERA_CHN); //释放VI通道return 0;
}