window安装face-recognition教程最新

face_recognition 在 windows 下安装与使用

face_recognition 是一个强大、简单、易上手的人脸识别开源项目，并且配备了完整的开发文档和应用案例，特别是兼容 树莓派 系统。

本地环境

安装 dlib

安装 face_recognition

BUT

写个 demo 试一下

用了一张网上的 ai 人像

识别效果

El psy congroo

OS: Windows 11
IDE: pycharm
python: 3.12

CMake is not installed on your system!
  
      Or it is possible some broken copy of cmake is installed on your system.
      It is unfortunately very common for python package managers to include
      broken copies of cmake.  So if the error above this refers to some file
      path to a cmake file inside a python or anaconda or miniconda path then you
      should delete that broken copy of cmake from your computer.
  
      Instead, please get an official copy of cmake from one of these known good
      sources of an official cmake:
          - cmake.org (this is how windows users should get cmake)
          - apt install cmake (for Ubuntu or Debian based systems)
          - yum install cmake (for Redhat or CenOS based systems)
  
      On a linux machine you can run which cmake to see what cmake you are
      actually using.  If it tells you it's some cmake from any kind of python
      packager delete it and install an official cmake.
  
      More generally, cmake is not installed if when you open a terminal window
      and type
         cmake --version
      you get an error.  So you can use that as a very basic test to see if you
      have cmake installed.  That is, if cmake --version doesn't run from the
      same terminal window from which you are reading this error message, then
      you have not installed cmake.  Windows users should take note that they
      need to tell the cmake installer to add cmake to their PATH.  Since you
      can't run commands that are not in your PATH.  This is how the PATH works
      on Linux as well, but failing to add cmake to the PATH is a particularly
      common problem on windows and rarely a problem on Linux.

pip install cmake

pip install dlib

pip install face_recognition

pip install git+https://github.com/ageitgey/face_recognition_models

pip install setuptools

import face_recognition
from PIL import Image
image = face_recognition.load_image_file("./img.png")
face_locations = face_recognition.face_locations(image)
print("I found {} face(s) in this photograph.".format(len(face_locations)))
for face_location in face_locations:
    top, right, bottom, left = face_location
    print("A face is located at pixel location Top: {}, Left: {}, Bottom: {}, Right: {}".format(top, left, bottom, right))
    face_image = image[top:bottom, left:right]
    pil_image = Image.fromarray(face_image)
    pil_image.show()