opencv-sample's Introduction

0基础用OpenCV做人脸识别示例

Environment

Mac Book Air
Python3
OpenCV2

Folder Structure

├── cv-camera.py       #用opencv动态识别mac摄像头的数据，并在适当时候截图
├── cv-image.py        #用opencv识别一个图片的人脸
├── data               #从opencv上复制过来的特征数数
├── images
│   └── sample.jpeg    #cv-image.py 的默认识别样图片
└── result             #ca-camera.py 的输出目录

Installations (for Mac only)

Ensure brew, xcode installed and update
Install the opencv by brew (最好翻墙后搞，会顺利点。)
```
$ brew install opencv
Updating Homebrew...
...
...
...
```

Verification

$ python3
Python 3.6.4 (default, Jan  6 2018, 11:51:15)
[GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.39.2)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2

按理Brew应该会给python2和python3都安装opencv的库，但不知为什么我的mac安装后，只有python3管用。有经验的同学，麻烦指导一下

Install the additional libs by pip
```
pip3 install -r requirements.txt
```

Trail run

cv-image.py - detect the face from a image and draw the result in a new python window
```
python3 cv-image.py

# or you can specify a image you want
python3 cv-image.py --image images/sample.jpeg
```
- you can press any key to exits
cv-camera.py
```
python3 cv-camera.py

# this script will load the source from camera and detect the face real time
```
- press 'c' to capture a image
- press 'q' to exits
- the program will capture max. 50 screen in the result folder, when it got new face detected or 'c' key press
- when the program exists, it will detec the face of the screen captured in result folder and save the related faces in subfolder.

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