百度智能云平臺(tái)的人臉識(shí)別項(xiàng)目,旨在利用其強(qiáng)大的人臉識(shí)別服務(wù)實(shí)現(xiàn)自動(dòng)人臉識(shí)別。選擇百度智能云的原因是其高效的API接口和穩(wěn)定的服務(wù)質(zhì)量,能夠幫助開發(fā)者快速實(shí)現(xiàn)人臉識(shí)別應(yīng)用。
本項(xiàng)目使用攝像頭捕捉圖像后,通過百度智能云平臺(tái)的人臉識(shí)別服務(wù),能夠輕松識(shí)別圖像中的人臉,并將識(shí)別結(jié)果實(shí)時(shí)顯示在Qt界面上。
功能特性
1、圖片處理和人臉識(shí)別:使用百度智能云的人臉識(shí)別服務(wù),通過API輕松識(shí)別圖像中的人臉。
2、攝像頭實(shí)時(shí)采集圖像并保存:使用Qt設(shè)計(jì)了直觀的用戶界面,控制USB攝像頭的打開、關(guān)閉以及實(shí)時(shí)顯示攝像頭捕獲的視頻流,并將采集到的視頻流保存為圖像。
環(huán)境說明
1、開發(fā)環(huán)境操作系統(tǒng):Ubuntu18.04 64位版
2、交叉編譯工具鏈:arm-poky-linux-gnueabi-gcc 5.3.0
3、開發(fā)板使用Bootloader版本:u-boot-2016.03
4、開發(fā)板內(nèi)核版本:linux-4.1.15
5、開發(fā)板移植QT版本:qt5.6.2
圖片處理和人臉識(shí)別
百度智能云網(wǎng)址:cloud.baidu.com
本次人臉識(shí)別的方案是通過百度智能云平臺(tái)進(jìn)行實(shí)現(xiàn)的。首先進(jìn)入百度智能云網(wǎng)頁- >選擇人臉與人體- > 人臉識(shí)別。
進(jìn)入人臉識(shí)別頁面之后可通過閱讀技術(shù)文檔來學(xué)習(xí)人臉識(shí)別的使用方法。
1、創(chuàng)建人臉庫
(1)單擊“應(yīng)用列表”,單擊“查看人臉庫”。
(2)單擊“新建組”。
(3)選擇用戶組場(chǎng)景類型,填寫組ID,單擊“確認(rèn)”。
(4)單擊剛新建的組ID。
(5)單擊“新建用戶”,填寫用戶ID,添加圖片,單擊“確認(rèn)”。
2、在線識(shí)別人臉圖片
在本地實(shí)現(xiàn)之前可通過平臺(tái)提供的在線驗(yàn)證方法進(jìn)行驗(yàn)證,如下圖,需要在旁邊輸入一張人臉圖片的base64 編碼的字符串或者選擇上傳一張人臉圖片,并填寫組ID即可進(jìn)行在線識(shí)別。
3、識(shí)別本地人臉圖片
本地實(shí)現(xiàn)人臉識(shí)別的方法需要將識(shí)別代碼拷貝到本地,并需要實(shí)現(xiàn)一個(gè)將圖片轉(zhuǎn)換為base64編碼的函數(shù)。需要輸入自己的access_token(通過閱讀文檔可知怎么獲?。?。
#include #include #include #include #include #include #include #include #include #include #include #include inline size_t onWriteData(void * buffer, size_t size, size_t nmemb, void * userp) { std::string * str = dynamic_cast((std::string *)userp); str->append((char *)buffer, size * nmemb); return nmemb;
} std::string getFileBase64Content(const char * path, bool urlencoded=false) { const std::string base64_chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" "abcdefghijklmnopqrstuvwxyz" "0123456789+/"; std::string ret;
int i = 0; int j = 0; unsigned char char_array_3[3]; unsigned char char_array_4[4]; unsigned int bufferSize = 1024;
unsigned char buffer[bufferSize]; std::ifstream file_read; file_read.open(path, std::ios::binary); while (!file_read.eof()){ file_read.read((char *) buffer, bufferSize * sizeof(char)); int num = file_read.gcount(); int m = 0; while (num--){ char_array_3[i++] = buffer[m++];
if(i == 3){ char_array_4[0] = (char_array_3[0] & 0xfc) >> 2; char_array_4[1] = ((char_array_3[0] & 0x03) << 4) + ((char_array_3[1] & 0xf0) >> 4); char_array_4[2] = ((char_array_3[1] & 0x0f) << 2) + ((char_array_3[2] & 0xc0) >> 6);
char_array_4[3] = char_array_3[2] & 0x3f; for(i = 0; (i <4) ; i++) ret += base64_chars[char_array_4[i]]; i = 0; } } } file_read.close(); if(i){ for(j = i; j < 3; j++) char_array_3[j] = '\0'; char_array_4[0] = (char_array_3[0] & 0xfc) >> 2; char_array_4[1] = ((char_array_3[0] & 0x03) << 4) + ((char_array_3[1] & 0xf0) >> 4); char_array_4[2] = ((char_array_3[1] & 0x0f) << 2) + ((char_array_3[2] & 0xc0) >> 6); char_array_4[3] = char_array_3[2] & 0x3f; for(j = 0; (j < i + 1); j++) ret += base64_chars[char_array_4[j]]; while((i++ < 3)) ret += '='; }
if (urlencoded) ret = curl_escape(ret.c_str(), ret.length()); return ret; } std::string performCurlRequest(const char *pic_path, const std::string &token) { std::string result; char *web_curl = nullptr; CURL *curl = curl_easy_init(); CURLcode res = CURLE_OK;
if (!asprintf(&web_curl, "https://aip.baidubce.com/rest/2.0/face/v3/search?access_token=%s", token.c_str())) { perror("asprintf error"); }
if (curl) { curl_easy_setopt(curl, CURLOPT_CUSTOMREQUEST, "POST");
// std::string url = "https://aip.baidubce.com/rest/2.0/face/v3/search?access_token=" + token; curl_easy_setopt(curl, CURLOPT_URL, web_curl); curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L); curl_easy_setopt(curl, CURLOPT_DEFAULT_PROTOCOL, "HTTPS"); curl_easy_setopt(curl, CURLOPT_SSL_VERIFYPEER, 0L); curl_easy_setopt(curl, CURLOPT_SSL_VERIFYHOST, 0L);
struct curl_slist *headers = NULL; headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers); std::string base64_image = getFileBase64Content(pic_path, true); std::string post_data = "image=" + base64_image + "&group_id_list=one&image_type=BASE64";
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, post_data.c_str()); curl_easy_setopt(curl, CURLOPT_WRITEDATA, &result); curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, onWriteData);
if(curl_easy_perform(curl) != CURLE_OK) fprintf(stderr, "Curl request failed: %s\n", curl_easy_strerror(res)); }
curl_easy_cleanup(curl); free(web_curl); return result; } int main(int argc, char *argv[])
{ std::string result; std::string name; std::string token = "24.2bc619cf9c09c32ce5af202ccc98c0c9.2592000.1724918062.282335-100710397"; result = performCurlRequest("/home/root/num/1.jpg", token); std::string json = result; std::regex pattern(""user_id":"(.*?)""); std::smatch match; if (std::regex_search(json, match, pattern)) { name = match[1].str(); std::cout << "read name is: " << name << std::endl; } return 0; }
1)依賴庫編譯
編譯人臉識(shí)別的應(yīng)用需要依賴Curl庫、OpenSSL庫、OpenCv庫、JsonCPP庫。詳細(xì)的依賴庫安裝步驟請(qǐng)參考以下鏈接:
bbs.elfboard.com/forum.php?mod=viewthread&tid=496&extra=page%3D1
bbs.elfboard.com/forum.php?mod=viewthread&tid=495&extra=page%3D1
bbs.elfboard.com/forum.php?mod=viewthread&tid=497&extra=page%3D1
bbs.elfboard.com/forum.php?mod=viewthread&tid=498&extra=page%3D1
2)應(yīng)用編譯
elf@ubuntu:~/work$ . /opt/fsl-imx-x11/4.1.15-2.0.0/environment-setup-cortexa7hf-neon-poky-linux-gnueabi elf@ubuntu:~/work$ $CC demoFace.cpp -o demoFace -I /home/elf/work/opencv-3.4.1/install/include/ -I /home/elf/work/curl-7.71.1/install/include/ -I /home/elf/work/jsoncpp-1.9.5/install/include/ -L /home/elf/work/opencv-3.4.1/install/lib/ -L /home/elf/work/curl-7.71.1/install/lib/ -L /home/elf/work/jsoncpp-1.9.5/install/lib/ -lopencv_highgui -lopencv_core -lopencv_imgproc -lopencv_objdetect -lopencv_videoio -lopencv_imgcodecs -std=c++11 -lcurl -lcrypto -ljsoncpp -lstdc++
編譯完成將文件通過scp拷貝到ELF 1開發(fā)板運(yùn)行即可,這樣就可以將本地的圖片通過HTTPS發(fā)送到百度智能云進(jìn)行識(shí)別,并將識(shí)別結(jié)果返回。
攝像頭實(shí)時(shí)采集圖像并保存
1、程序設(shè)計(jì)
在前面一個(gè)章節(jié)實(shí)現(xiàn)了對(duì)本地人臉圖片的識(shí)別,下面來介紹如何通過攝像頭進(jìn)行人臉識(shí)別,采用USB攝像頭進(jìn)行識(shí)別,程序設(shè)計(jì)如下圖所示。
主函數(shù)的實(shí)現(xiàn)main.cpp
int main(int argc, char *argv[]) { QApplication a(argc, argv); Camera w; w.setWindowFlags(w.windowFlags()& ~Qt::WindowMaximizeButtonHint& ~Qt::WindowMinimizeButtonHint ); w.showMaximized(); w.show(); return a.exec(); }
設(shè)置UI
ui->setupUi(this); timer = new QTimer; QDesktopWidget* desktopWidget = QApplication::desktop(); QRect screenRect = desktopWidget->screenGeometry(); qDebug("screen.width = %d , screen.height = %d",screenRect.width(),screenRect.height()); this->imageWidget = new ImageWidget(this); this->imageWidget->setBackgroundRole(QPalette::Dark); this->imageWidget->setSizePolicy(QSizePolicy::Ignored, QSizePolicy::Ignored); this->imageWidget->setObjectName(QString::fromUtf8("imageWidget")); if(screenRect.width()==800) { ui->pbt_start->setGeometry(60,300,70,50); ui->pbt_stop->setGeometry(190,300,70,50); this->imageWidget->setGeometry(QRect(5, 30, 350, 250)); } else if(screenRect.width()>800) { ui->pbt_start->setGeometry(80,400,70,70); ui->pbt_stop->setGeometry(260,400,70,70); this->imageWidget->setGeometry(QRect(6, 37, 500, 330)); }
打開攝像頭設(shè)備
void deviceOpen(void) { fd = open(deviceName, O_RDWR | O_NONBLOCK, 0); if (-1 == fd) { QMessageBox::about(NULL, "About", "camera open error"); exit(EXIT_FAILURE); } }
初始化攝像頭設(shè)備
void deviceInit(void) { struct v4l2_capability cap; struct v4l2_cropcap cropcap; struct v4l2_crop crop; struct v4l2_format fmt; struct v4l2_streamparm sparm; unsigned int min; if (-1 == xioctl(fd, VIDIOC_QUERYCAP, &cap)) { if (EINVAL == errno) { QMessageBox::about(NULL,"Information"," no V4L2 device"); exit(EXIT_FAILURE); } else { errno_exit("VIDIOC_QUERYCAP"); } } if (!(cap.capabilities & V4L2_CAP_VIDEO_CAPTURE)) { QMessageBox::about(NULL,"Information"," no video capture device");
exit(EXIT_FAILURE); } struct v4l2_input input; input.index = 0; if ( ioctl(fd, VIDIOC_ENUMINPUT, &input) != 0) { QMessageBox::about(NULL,"Information","set input error"); exit(0); } if ((ioctl(fd, VIDIOC_S_INPUT, &input)) < 0) { QMessageBox::about(NULL,"Information","set s_input error"); exit(0); } CLEAR(cropcap); cropcap.type = V4L2_BUF_TYPE_VIDEO_CAPTURE; if (0 == xioctl(fd, VIDIOC_CROPCAP, &cropcap)) { crop.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
crop.c.top = 0; crop.c.left = 0; crop.c.height = 720; crop.c.width = 1280; if (-1 == xioctl(fd, VIDIOC_S_CROP, &crop)) { switch (errno) { case EINVAL: break; default: break; } } } CLEAR (fmt); // v4l2_format fmt.type = V4L2_BUF_TYPE_VIDEO_CAPTURE; fmt.fmt.pix.width = width; fmt.fmt.pix.height = height; fmt.fmt.pix.pixelformat = V4L2_PIX_FMT_YUYV;
fmt.fmt.pix.field = V4L2_FIELD_ANY; if (-1 == xioctl(fd, VIDIOC_S_FMT, &fmt)) errno_exit("VIDIOC_S_FMT");
/* Note VIDIOC_S_FMT may change width and height.*/ if (width != fmt.fmt.pix.width) { width = fmt.fmt.pix.width; //fprintf(stderr,"Image width set to %i by device %s.\n",width,deviceName); } if (height != fmt.fmt.pix.height) { height = fmt.fmt.pix.height; //fprintf(stderr,"Image height set to %i by device %s.\n",height,deviceName); } /*Buggy driver paranoia. */ min = fmt.fmt.pix.width * 2; if (fmt.fmt.pix.bytesperline < min) fmt.fmt.pix.bytesperline = min; min = fmt.fmt.pix.bytesperline * fmt.fmt.pix.height; if (fmt.fmt.pix.sizeimage < min) fmt.fmt.pix.sizeimage = min; CLEAR (sparm); sparm.type = V4L2_BUF_TYPE_VIDEO_CAPTURE; sparm.parm.capture.capturemode = 0; sparm.parm.capture.timeperframe.numerator = 1; sparm.parm.capture.timeperframe.denominator = 30; if(xioctl(fd,VIDIOC_S_PARM,&sparm) < 0){ errno_exit("cam s parm"); // exit(1); } mmapInit(); }
開啟視頻流捕獲
void captureStart(void) { unsigned int i; enum v4l2_buf_type type; for (i = 0; i < n_buffers; ++i) { struct v4l2_buffer buf; CLEAR (buf); buf.type = V4L2_BUF_TYPE_VIDEO_CAPTURE; buf.memory = V4L2_MEMORY_MMAP; buf.index = i; if (-1 == xioctl(fd, VIDIOC_QBUF, &buf)) errno_exit("VIDIOC_QBUF"); } type = V4L2_BUF_TYPE_VIDEO_CAPTURE; if (-1 == xioctl(fd, VIDIOC_STREAMON, &type)) errno_exit("VIDIOC_STREAMON"); }
超時(shí)處理
void Camera::up_date() { unsigned char image_buf[921600+54]; frameRead(image_buf); this->imageWidget->setPixmap(image_buf); }
2、應(yīng)用編譯及測(cè)試
1)編譯
elf@ubuntu:~/work/camera-demo$ . /opt/fsl-imx-x11/4.1.15-2.0.0/environment-setup-cortexa7hf-neon-poky-linux-gnueabi elf@ubuntu:~/work/camera-demo$ qmake elf@ubuntu:~/work/camera-demo$ make
2)拷貝camera-demo到ELF 1開發(fā)板的/home/root路徑下,運(yùn)行測(cè)試。
root@ELF1:~# cp /run/media/sda1/camera-demo ./ root@ELF1:~# chmod 777 camera-demo root@ELF1:~# export DISPLAY=:0.0 root@ELF1:~# ./camera-demo
點(diǎn)擊start按鈕之后,使用ls num路徑下查看會(huì)有攝像頭拍攝的圖片。液晶屏上會(huì)實(shí)時(shí)預(yù)覽攝像頭拍到的圖像,如下圖所示:
在這里就可以和前面人臉識(shí)別結(jié)合起來了,比如攝像頭里面的畫面是一張人臉信息,通過截取攝像頭中的實(shí)時(shí)畫面到本地,然后上傳到百度智能云進(jìn)行識(shí)別,至此就完成了通過攝像頭進(jìn)行人臉識(shí)別的過程。
項(xiàng)目測(cè)試
在此基礎(chǔ)上再次完善應(yīng)用,識(shí)別人臉的應(yīng)用將識(shí)別到的人臉信息保存到文本中,基于攝像頭的應(yīng)用讀取文檔中的人臉信息顯示在Qt界面中。
1、確保開發(fā)板已連接USB攝像頭和屏幕
2、設(shè)置Wi-Fi連接
root@ELF1:~# elf1_cmd_wifi.sh -i 8723 -s 賬號(hào) -p 密碼
3、執(zhí)行應(yīng)用
root@ELF1:~# ./camera-demo & root@ELF1:~# ./demoFace
單擊“start”按鈕,識(shí)別結(jié)果如下圖所示。
-
嵌入式
+關(guān)注
關(guān)注
5082文章
19123瀏覽量
305143 -
嵌入式系統(tǒng)
+關(guān)注
關(guān)注
41文章
3593瀏覽量
129466 -
人臉識(shí)別
+關(guān)注
關(guān)注
76文章
4012瀏覽量
81894 -
嵌入式開發(fā)板
+關(guān)注
關(guān)注
5文章
82瀏覽量
18748 -
開源項(xiàng)目
+關(guān)注
關(guān)注
0文章
37瀏覽量
7188
發(fā)布評(píng)論請(qǐng)先 登錄
相關(guān)推薦
評(píng)論