Face Recognition with OpenCV and Python

Face recognition is the process of identifying a person by analyzing facial features, similar to how the human brain instantly recognizes familiar faces by comparing visual details such as eyes, nose, and mouth.

The article explains that the brain collects facial data during repeated encounters, builds a mental model, and then uses that model to recognize the same face in future images or videos.

Using OpenCV, the same principle can be encoded for computers: first gather facial images of the people you want to recognize, train a recognizer with those images and their corresponding labels, and finally feed new faces to the trained model to see if it can identify them.

Install dependencies pip3 install opencv-python Basic OpenCV usage

To display an image, use cv2.imshow(window_name, image) and keep the window open with cv2.waitKey(delay), where a delay of 0 means wait indefinitely.

Reading an image from disk can be done with: image = cv2.imread(imagepath) Example: full script

#!/usr/bin/env python
#-*- coding:utf-8 -*-
# @Time    : 2021/7/17 下午9:53
# @Author  : huaan

# 导入模块
import cv2 as cv

#读取图片 注意图片地址不能有中文，否则数据会无法读取
img = cv.imread('one.jpeg')
#显示图片
cv.imshow('input_img', img)
#等待键盘的输入 单位是毫秒级别 传入0表示无限等待
cv.waitKey(0)
#C++语言，使用完内存必须释放
cv.destroyAllWindows()