├── .gitignore ├── FaceDetection-v1.py ├── FaceDetection-v2.py ├── LICENSE ├── README.md ├── face.mp4 ├── face.png ├── haar ├── haarcascade_eye.xml └── haarcascade_frontalface_default.xml └── image ├── 01.png ├── 10.png └── 11.png /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | *.egg-info/ 24 | .installed.cfg 25 | *.egg 26 | MANIFEST 27 | 28 | # PyInstaller 29 | # Usually these files are written by a python script from a template 30 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 31 | *.manifest 32 | *.spec 33 | 34 | # Installer logs 35 | pip-log.txt 36 | pip-delete-this-directory.txt 37 | 38 | # Unit test / coverage reports 39 | htmlcov/ 40 | .tox/ 41 | .coverage 42 | .coverage.* 43 | .cache 44 | nosetests.xml 45 | coverage.xml 46 | *.cover 47 | .hypothesis/ 48 | .pytest_cache/ 49 | 50 | # Translations 51 | *.mo 52 | *.pot 53 | 54 | # Django stuff: 55 | *.log 56 | local_settings.py 57 | db.sqlite3 58 | 59 | # Flask stuff: 60 | instance/ 61 | .webassets-cache 62 | 63 | # Scrapy stuff: 64 | .scrapy 65 | 66 | # Sphinx documentation 67 | docs/_build/ 68 | 69 | # PyBuilder 70 | target/ 71 | 72 | # Jupyter Notebook 73 | .ipynb_checkpoints 74 | 75 | # pyenv 76 | .python-version 77 | 78 | # celery beat schedule file 79 | celerybeat-schedule 80 | 81 | # SageMath parsed files 82 | *.sage.py 83 | 84 | # Environments 85 | .env 86 | .venv 87 | env/ 88 | venv/ 89 | ENV/ 90 | env.bak/ 91 | venv.bak/ 92 | 93 | # Spyder project settings 94 | .spyderproject 95 | .spyproject 96 | 97 | # Rope project settings 98 | .ropeproject 99 | 100 | # mkdocs documentation 101 | /site 102 | 103 | # mypy 104 | .mypy_cache/ 105 | -------------------------------------------------------------------------------- /FaceDetection-v1.py: -------------------------------------------------------------------------------- 1 | # -*- coding:utf-8 -*- 2 | ''' 3 | 人脸识别FaceDetection 4 | 通过HaarCascade模型，进行人脸识别与眼睛识别，在视频流中绘制矩形，标识人脸 5 | ''' 6 | import cv2 7 | 8 | # 载入人脸检测的Cascade模型 9 | FaceCascade = cv2.CascadeClassifier('./haar/haarcascade_frontalface_default.xml') 10 | 11 | # 载入带有人脸的图片 12 | img = cv2.imread('face.png') 13 | # 将彩色图片转换为灰度图 14 | gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 15 | 16 | # 创建一个窗口 名字叫做Face 17 | cv2.namedWindow('Face',flags=cv2.WINDOW_NORMAL | cv2.WINDOW_KEEPRATIO | cv2.WINDOW_GUI_EXPANDED) 18 | 19 | # 检测画面中的人脸 20 | faces = FaceCascade.detectMultiScale( 21 | gray, 22 | scaleFactor=1.1, 23 | minNeighbors=5 24 | ) 25 | 26 | # 遍历返回的face数组 27 | for face in faces: 28 | # 解析tuple类型的face位置数据 29 | # (x, y): 左上角坐标值 30 | # w: 人脸矩形区域的宽度 31 | # h: 人脸矩形区域的高度 32 | (x, y, w, h) = face 33 | # 在原彩图上绘制矩形 34 | cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 4) 35 | 36 | # 在窗口Face上面展示图片img 37 | cv2.imshow('Face', img) 38 | # 等待任意按键按下 39 | cv2.waitKey(0) 40 | # 关闭所有的窗口 41 | cv2.destroyAllWindows() -------------------------------------------------------------------------------- /FaceDetection-v2.py: -------------------------------------------------------------------------------- 1 | # -*- coding:utf-8 -*- 2 | ''' 3 | 人脸识别FaceDetection 4 | 通过HaarCascade模型，进行人脸识别与眼睛识别，在视频流中绘制矩形，标识脸部跟眼睛。 5 | 算法的主要思路是首先在画面中获取人脸的位置（ROI），然后在人脸区域内检索眼睛的位置。 6 | ''' 7 | import cv2 8 | 9 | # 载入人脸检测的Cascade模型 10 | FaceCascade = cv2.CascadeClassifier('./haar/haarcascade_frontalface_default.xml') 11 | # 载入眼睛检测的Cascade模型 12 | EyeCascade = cv2.CascadeClassifier('./haar/haarcascade_eye.xml') 13 | 14 | # 载入视频流 15 | cap = cv2.VideoCapture('face.mp4') 16 | # 创建一个窗口 名字叫做Video 17 | cv2.namedWindow('Video',flags=cv2.WINDOW_NORMAL | cv2.WINDOW_KEEPRATIO | cv2.WINDOW_GUI_EXPANDED) 18 | 19 | # 图像缩放系数 20 | # why->降低分辨率，可以加快图像识别的速度，提高帧率 21 | scalar = 5 22 | 23 | while True: 24 | # 通过cap对象， 一帧一帧读入 25 | ret, frame = cap.read() 26 | 27 | if not ret: 28 | print('video end') 29 | break 30 | # 获取 31 | height, width,_ = frame.shape 32 | # 对图像进行缩放 33 | # resize插值算法采用 INTER_CUBIC 算法 34 | frame_small = cv2.resize(frame,(int(width/scalar),int(height/scalar)),interpolation=cv2.INTER_CUBIC) 35 | # 颜色空间变换，将彩图转换为灰度图 36 | gray = cv2.cvtColor(frame_small, cv2.COLOR_BGR2GRAY) 37 | # 检测画面中的人脸 38 | faces = FaceCascade.detectMultiScale( 39 | gray, 40 | scaleFactor=1.1, 41 | minNeighbors=5 42 | ) 43 | 44 | # 在脸的周围画框框 45 | for (x, y, w, h) in faces: 46 | # 从缩放后的ROI，转换为缩放前的ROI 47 | x *= scalar 48 | y *= scalar 49 | w *= scalar 50 | h *= scalar 51 | # 绘制画面中人脸区域的矩形 52 | cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 4) 53 | # 获取脸部区域的ROI图像 54 | # 而且仅需要在脸的上半部分检测眼睛 55 | face_roi = frame[y:y+int(h/2),x:x+w] 56 | # 将ROI图像转换为灰度图 57 | face_gray = cv2.cvtColor(face_roi, cv2.COLOR_BGR2GRAY) 58 | 59 | # 检测眼睛 60 | eyes = EyeCascade.detectMultiScale( 61 | face_gray, 62 | scaleFactor=1.1, 63 | minNeighbors=5 64 | ) 65 | 66 | # 遍历返回的眼睛(eye)对象的ROI 67 | for (ex, ey, ew, eh) in eyes: 68 | # 绘制眼睛的方框 69 | cv2.rectangle(frame, (ex+x, ey+y), (ex+x+ew, ey+y+eh), (0, 0, 255), 4) 70 | 71 | # 更新Video窗口下的图像 72 | cv2.imshow('Video', frame) 73 | # 等待按键按下，如果1ms内没有按键的话，就跳过继续执行 74 | # 判断按键是否为q 75 | if cv2.waitKey(1) & 0xFF == ord('q'): 76 | break 77 | 78 | # 释放VideoCapture 79 | cap.release() 80 | # 关闭所有的窗口 81 | cv2.destroyAllWindows() 82 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2018 1Z实验室 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # OpenCV人脸检测-1Z实验室出品 2 | 3 | **1zlab: Make Thing Easy** 4 | 5 | 6 | 7 | opencv实现人脸检测， 识别视频流中人脸的位置，并且画出人脸所在的矩形区域。 8 | 9 | 10 | 11 | ## 视频教程 12 | 13 | 1Z实验室同时也出品了配套的视频教程： 14 | [【OpenCV基础教程】2.人脸检测初探（1Z实验室）](https://www.bilibili.com/video/av28774187?from=search&seid=17832170123663965893) 15 | 16 | 17 | ![人脸检测](./image/01.png) 18 | 19 | 20 | 21 | [教程文稿](https://github.com/1zlab/1ZLAB_OpenCV_Tutorial/blob/master/01.%E8%AF%BE%E7%A8%8B%E5%AF%BC%E5%BC%95/02.%E4%BA%BA%E8%84%B8%E6%A3%80%E6%B5%8B/%E4%BA%BA%E8%84%B8%E6%A3%80%E6%B5%8B.md) 22 | 23 | >不知道从什么时候开始，学习OpenCV首先学习人脸检测，变成了一个传统。 24 | > 25 | >在本节课，首先介绍一下人脸检测在日常生活中的广泛应用，然后讲解人脸检测与人脸识别的区别， 接下来会教大家通过OpenCV内置的人脸检测模型，实时的在画面中绘制人脸所在的位置。 26 | 27 | 28 | 29 | ## 演示效果 30 | 31 | ![人脸检测效果](./image/11.png) 32 | 33 | 34 | 35 | ## 社群推广 36 | 37 | 38 | 39 | ![社群推广](./image/10.png) 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | -------------------------------------------------------------------------------- /face.mp4: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/1zlab/1ZLAB_OpenCV_Face_Detection/86930b3f028dcefeddb4d95004c7037669537fbe/face.mp4 -------------------------------------------------------------------------------- /face.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/1zlab/1ZLAB_OpenCV_Face_Detection/86930b3f028dcefeddb4d95004c7037669537fbe/face.png -------------------------------------------------------------------------------- /image/01.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/1zlab/1ZLAB_OpenCV_Face_Detection/86930b3f028dcefeddb4d95004c7037669537fbe/image/01.png -------------------------------------------------------------------------------- /image/10.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/1zlab/1ZLAB_OpenCV_Face_Detection/86930b3f028dcefeddb4d95004c7037669537fbe/image/10.png -------------------------------------------------------------------------------- /image/11.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/1zlab/1ZLAB_OpenCV_Face_Detection/86930b3f028dcefeddb4d95004c7037669537fbe/image/11.png --------------------------------------------------------------------------------