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OpenCV-dlib-python3实现人脸戴墨镜和含Y的抖音效果

2020-06-05    
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1 说明:

=====

1.1 吸烟有害健康!!纯属娱乐和学习Python的相关知识。

1.2 虽然是娱乐,但是opencv、dlib和python在人工智能、人脸识别、自动化等有很大作用,目前已经或者未来会有更多的应用,作为一名普通人,学习一点知识很有必要。

1.3 我的文章通俗易懂,小白都会,而且亲测过,没有编程经验的,一看就会!可以培养自己和孩子的学习计算机和编程兴趣!

1.4 效果图:

OpenCV-dlib-python3实现人脸戴墨镜和含Y的抖音效果

图片来源:https://www.wanyx.com/jiaocheng/36683.html

2 准备工作:

========

2.1 环境:

华为笔记本电脑、深度deepin-linux操作系统、python3.8和微软vscode编辑器。

2.2 要求:

2.2.1 PIL、numpy、imutils模块安装,安装简单,省略。

2.2.2 cv2模块安装:

pip install opencv-python
#下面是我的cv2模块相关初步介绍的文章
https://www.toutiao.com/i6833713845005976067/

2.2.3 dlib模块安装:有坑!!!

我是这么安装的,从github下载包,解压。

https://github.com/davisking/dlib

我是在桌面上,终端打开,输入:

python setup.py install  #推荐

#下面是我的安装
#xgj@xgj-PC:~/Desktop/dlib/dlib-master$ 
sudo python3.8 setup.py install  #本机安装
OpenCV-dlib-python3实现人脸戴墨镜和含Y的抖音效果

 

3 代码来源:

========

3.1 源代码:

https://github.com/tomoncle/face-detection-induction-course

下载,解压,找到:
input_video_stream_paste_mask.py,进行修改。

3.2 
shape_predictor_68_face_landmarks.dat下载

官网,网速慢,还有坑,建议下面地址下载。

https://jaist.dl.sourceforge.net/project/dclib/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2

3.3 修改后的代码:为了简洁,删除不必要的注释和代码:

# @Author  : tomoncle
# @Site    : https://github.com/tomoncle/face-detection-induction-course
#导出模块
from time import sleep
import cv2
import numpy as np
from PIL import Image
from imutils import face_utils, resize
from dlib import get_frontal_face_detector, shape_predictor

class DynamicStreamMaskService(object): #动态黏贴面具服务
    def __init__(self, saved=False):
        self.saved = saved  # 是否保存图片
        self.listener = True  # 启动参数
        self.video_capture = cv2.VideoCapture(0)  # 调用本地摄像头
        self.doing = False  # 是否进行面部面具
        self.speed = 0.1  # 面具移动速度
        self.detector = get_frontal_face_detector()  # 面部识别器
        #下载的shape_predictor_68_face_landmarks.dat,解压放在指定路径下,因为我是启动微软vscode编辑器
        self.predictor = shape_predictor("/home/xgj/Desktop/dlib/xxx/face-detection-induction-course-master/shape_predictor_68_face_landmarks.dat")  # 面部分析器
        self.fps = 4  # 面具存在时间基础时间
        self.animation_time = 0  # 动画周期初始值
        self.duration = self.fps * 4  # 动画周期最大值
        self.fixed_time = 4  # 画图之后,停留时间
        self.max_width = 500  # 图像大小
        self.deal, self.text, self.cigarette = None, None, None  # 面具对象

    def read_data(self):
        _, data = self.video_capture.read()
        return data

    def save_data(self, draw_img):
        if not self.saved:
            return
        #指定路径
        draw_img.save("/home/xgj/Desktop/dlib/xxx/face-detection-induction-course-master/images/%05d.png" % self.animation_time)

    def init_mask(self):
        self.console("加载面具...")
        self.deal, self.text, self.cigarette = (
            #修改指定路径,因为我是启动微软vscode编辑器
            Image.open(x) for x in ["/home/xgj/Desktop/dlib/xxx/face-detection-induction-course-master/images/deals.png", "/home/xgj/Desktop/dlib/xxx/face-detection-induction-course-master/images/text.png", "/home/xgj/Desktop/dlib/xxx/face-detection-induction-course-master/images/cigarette.png"]
        )

    def get_glasses_info(self, face_shape, face_width):
        left_eye = face_shape[36:42]
        right_eye = face_shape[42:48]

        left_eye_center = left_eye.mean(axis=0).astype("int")
        right_eye_center = right_eye.mean(axis=0).astype("int")

        y = left_eye_center[1] - right_eye_center[1]
        x = left_eye_center[0] - right_eye_center[0]
        eye_angle = np.rad2deg(np.arctan2(y, x))

        deal = self.deal.resize(
            (face_width, int(face_width * self.deal.size[1] / self.deal.size[0])),
            resample=Image.LANCZOS)

        deal = deal.rotate(eye_angle, expand=True)
        deal = deal.transpose(Image.FLIP_TOP_BOTTOM)

        left_eye_x = left_eye[0, 0] - face_width // 4
        left_eye_y = left_eye[0, 1] - face_width // 6

        return {"image": deal, "pos": (left_eye_x, left_eye_y)}

    def get_cigarette_info(self, face_shape, face_width):
        mouth = face_shape[49:68]
        mouth_center = mouth.mean(axis=0).astype("int")
        cigarette = self.cigarette.resize(
            (face_width, int(face_width * self.cigarette.size[1] / self.cigarette.size[0])),
            resample=Image.LANCZOS)
        x = mouth[0, 0] - face_width + int(16 * face_width / self.cigarette.size[0])
        y = mouth_center[1]
        return {"image": cigarette, "pos": (x, y)}

    def orientation(self, rects, img_gray):  #人脸定位
        faces = []
        for rect in rects:
            face = {}
            face_shades_width = rect.right() - rect.left()
            predictor_shape = self.predictor(img_gray, rect)
            face_shape = face_utils.shape_to_np(predictor_shape)
            face['cigarette'] = self.get_cigarette_info(face_shape, face_shades_width)
            face['glasses'] = self.get_glasses_info(face_shape, face_shades_width)

            faces.Append(face)

        return faces

    def start(self):
        self.console("程序启动成功.")
        self.init_mask()
        while self.listener:
            frame = self.read_data()
            frame = resize(frame, width=self.max_width)
            img_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
            rects = self.detector(img_gray, 0)
            faces = self.orientation(rects, img_gray)
            draw_img = Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
            if self.doing:
                self.drawing(draw_img, faces)
                self.animation_time += self.speed
                self.save_data(draw_img)
                if self.animation_time > self.duration:
                    self.doing = False
                    self.animation_time = 0
                else:
                    frame = cv2.cvtColor(np.asarray(draw_img), cv2.COLOR_RGB2BGR)
            cv2.imshow("hello mask", frame)
            self.listener_keys()

    def listener_keys(self):
        key = cv2.waitKey(1) & 0xFF
        #按字母q是退出
        if key == ord("q"):
            self.listener = False
            self.console("程序退出")
            sleep(1)
            self.exit()
        #按字母d是开始戴墨镜和叼烟
        if key == ord("d"):
            self.doing = not self.doing

    def exit(self):
        self.video_capture.release()
        cv2.destroyAllwindows()

    def drawing(self, draw_img, faces):
        for face in faces:
            if self.animation_time < self.duration - self.fixed_time:
                current_x = int(face["glasses"]["pos"][0])
                current_y = int(face["glasses"]["pos"][1] * self.animation_time / (self.duration - self.fixed_time))
                draw_img.paste(face["glasses"]["image"], (current_x, current_y), face["glasses"]["image"])

                cigarette_x = int(face["cigarette"]["pos"][0])
                cigarette_y = int(face["cigarette"]["pos"][1] * self.animation_time / (self.duration - self.fixed_time))
                draw_img.paste(face["cigarette"]["image"], (cigarette_x, cigarette_y),
                               face["cigarette"]["image"])
            else:
                draw_img.paste(face["glasses"]["image"], face["glasses"]["pos"], face["glasses"]["image"])
                draw_img.paste(face["cigarette"]["image"], face["cigarette"]["pos"], face["cigarette"]["image"])
                draw_img.paste(self.text, (75, draw_img.height // 2 + 128), self.text)

    @classmethod
    def console(cls, s):
        print("{} !".format(s))

if __name__ == '__main__':
    ms = DynamicStreamMaskService()
    ms.start()

3.4 效果:

OpenCV-dlib-python3实现人脸戴墨镜和含Y的抖音效果

吸烟有害健康!!!哈哈哈

4 小插曲:

=======

4.1 本机是华为笔记本电脑,预装深度deepin-linux操作系统,原因众所周知!使用起来还是很方便的!

4.2 在我调用摄像头时,起初竟然一片漆黑!!于是,我私下“骂了华为”,什么“高科技”笔记本电脑,竟然没有安装摄像头!!!

4.3 后来网上一查,还真是高科技,华为牛!摄像头藏在键盘7上面,如下图,按一下弹出来,牛!

OpenCV-dlib-python3实现人脸戴墨镜和含Y的抖音效果

华为威武!中华有为,支持国产!!

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