zoukankan      html  css  js  c++  java
  • opencv+python+dlib人脸关键点检测、实时检测

    安装的是anaconde3、python3.7.3,3.7环境安装dlib太麻烦, 

    在anaconde3中新建环境python3.6.8,

    在3.6环境下安装dlib-19.6.1-cp36-cp36m-win_amd64.whl,下载地址:https://pypi.org/project/dlib/19.6.1/#files

    vscode更改配置

    其中shape_predictor_68_face_landmarks.dat官方训练数据下载地址:http://dlib.net/files/,里面还有5点模型。

    效果图如下:

    # _*_ coding:utf-8 _*_
    
    import numpy as np
    import cv2
    import dlib
    
    detector = dlib.get_frontal_face_detector()
    predictor = dlib.shape_predictor("data/shape_predictor_68_face_landmarks.dat")
    
    # cv2读取图像
    img = cv2.imread("img/test3.jpg")
    
    # 取灰度
    img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
    
    # 人脸数rects
    rects = detector(img_gray, 0)
    for i in range(len(rects)):
        landmarks = np.matrix([[p.x, p.y] for p in predictor(img, rects[i]).parts()])
        for idx, point in enumerate(landmarks):
            # 68点的坐标
            pos = (point[0, 0], point[0, 1])
    
            # 利用cv2.circle给每个特征点画一个圈,共68个
            cv2.circle(img, pos, 2, color=(0, 255, 0))
            # 利用cv2.putText输出1-68
            font = cv2.FONT_HERSHEY_SIMPLEX
            cv2.putText(img, str(idx + 1), None, font, 0.8, (0, 0, 255), 1, cv2.LINE_AA)
    
    cv2.namedWindow("img", 2)
    cv2.imshow("img", img)
    cv2.waitKey(0)
    

     摄像头实时检测:

    # _*_ coding:utf-8 _*_
    
    import numpy as np
    import cv2
    import dlib
    
    cap = cv2.VideoCapture(0)
    detector = dlib.get_frontal_face_detector()
    predictor = dlib.shape_predictor("data/shape_predictor_68_face_landmarks.dat")
    
    while 1:
        ret, img = cap.read()
        # 取灰度
        img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
        # 人脸数rects
        rects = detector(img_gray, 0)
        for i in range(len(rects)):
            landmarks = np.matrix([[p.x, p.y] for p in predictor(img, rects[i]).parts()])
            for idx, point in enumerate(landmarks):
                # 68点的坐标
                pos = (point[0, 0], point[0, 1])
    
                # 利用cv2.circle给每个特征点画一个圈,共68个
                cv2.circle(img, pos, 2, color=(0, 255, 0))
                # 利用cv2.putText输出1-68
                font = cv2.FONT_HERSHEY_SIMPLEX
                cv2.putText(img, str(idx + 1), None, font, 0.8, (0, 0, 255), 1, cv2.LINE_AA)
    
        cv2.namedWindow("img", 2)
        cv2.imshow("img", img)
        if cv2.waitKey(1) & 0xFF == ord("q"):
            break
  • 相关阅读:
    类型转换
    关于lseek()
    ubuntuj开机没有开机音乐
    Linux下PF_PACKET的使用
    运行apue下的第一个程序
    Spring Framework 开发参考手册
    mysql blob
    此驱动程序不支持 Java Runtime Environment (JRE) 1.6 版。请使用支持 JDBC 4.0 的 sqljdbc4.jar 类库
    [转]解决:The Apache Tomcat Native library which allows optimal performance in production environments was not found
    java等号
  • 原文地址:https://www.cnblogs.com/ckAng/p/10975132.html
Copyright © 2011-2022 走看看