使用 OpenCV 图像处理和修改功能来编辑具有过滤器和转换功能的图像，探索复杂的运动分析和面部标志检测算法，使用它们来构建安全和面部检测应用程序，在 OpenCV 和 GPU 中使用预训练的深度学习模型来快速过滤图像。

Qt5图像查看器

运动分析运动检测和提醒

运动捕捉代码

#include <QTime>
#include <QDebug>

#include "utilities.h"

CaptureThread::CaptureThread(int camera, QMutex *lock):
    running(false), cameraID(camera), videoPath(""), data_lock(lock)
{
    fps_calculating = false;
    fps = 0.0;

    frame_width = frame_height = 0;
    video_saving_status = STOPPED;
    saved_video_name = "";
    video_writer = nullptr;

    motion_detecting_status = false;
}

CaptureThread::CaptureThread(QString videoPath, QMutex *lock):
    running(false), cameraID(-1), videoPath(videoPath), data_lock(lock)
{
    fps_calculating = false;
    fps = 0.0;

    frame_width = frame_height = 0;
    video_saving_status = STOPPED;
    saved_video_name = "";
    video_writer = nullptr;

    motion_detecting_status = false;
}

CaptureThread::~CaptureThread() {
}

void CaptureThread::run() {
    running = true;
    cv::VideoCapture cap(cameraID);
   
    cv::Mat tmp_frame;

    frame_width = cap.get(cv::CAP_PROP_FRAME_WIDTH);
    frame_height = cap.get(cv::CAP_PROP_FRAME_HEIGHT);

    segmentor = cv::createBackgroundSubtractorMOG2(500, 16, true);

    while(running) {
        cap >> tmp_frame;
        if (tmp_frame.empty()) {
            break;
        }
        if(motion_detecting_status) {
            motionDetect(tmp_frame);
        }
        if(video_saving_status == STARTING) {
            startSavingVideo(tmp_frame);
        }
        if(video_saving_status == STARTED) {
            video_writer->write(tmp_frame);
        }
        if(video_saving_status == STOPPING) {
            stopSavingVideo();
        }

        cvtColor(tmp_frame, tmp_frame, cv::COLOR_BGR2RGB);
        data_lock->lock();
        frame = tmp_frame;
        data_lock->unlock();
        emit frameCaptured(&frame);
        if(fps_calculating) {
            calculateFPS(cap);
        }
    }
    cap.release();
    running = false;
}

void CaptureThread::calculateFPS(cv::VideoCapture &cap)
{
    const int count_to_read = 100;
    cv::Mat tmp_frame;
    QTime timer;
    timer.start();
    for(int i = 0; i < count_to_read; i++) {
            cap >> tmp_frame;
    }
    int elapsed_ms = timer.elapsed();
    fps = count_to_read / (elapsed_ms / 1000.0);
    fps_calculating = false;
    emit fpsChanged(fps);
}

void CaptureThread::startSavingVideo(cv::Mat &firstFrame)
{
    saved_video_name = Utilities::newSavedVideoName();

    QString cover = Utilities::getSavedVideoPath(saved_video_name, "jpg");
    cv::imwrite(cover.toStdString(), firstFrame);

    video_writer = new cv::VideoWriter(
        Utilities::getSavedVideoPath(saved_video_name, "avi").toStdString(),
        cv::VideoWriter::fourcc('M','J','P','G'),
        fps? fps: 30,
        cv::Size(frame_width,frame_height));
    video_saving_status = STARTED;
}

折叠目录

源代码

https://embed.notionlytics.com/wt/ZXlKM2IzSnJjM0JoWTJWVWNtRmphMlZ5U1dRaU9pSlhiRWhvWlV4VVQxbHNjMlZYV2tKbU9URndaU0lzSW5CaFoyVkpaQ0k2SW1JeFpqaGpPVEkxTldSa01EUTJZekZpWTJOaE0yTXhOVFEwTlRneE5qUTNJbjA9