测试环境:
- Python 3.6.5
- MacBook Pro (10.13.6)
face_recognition 项目地址:
ageitgey/face_recognitiongithub.com
安装debug：
安装方法：pip3 install face_recognition
在安装到到dlib时候遇到错误：CMake must be installed to build the following extensions: dlib
e.g:
File "/private/var/folders/65/fblsld6s6cvcz71v0gp693fc0000gn/T/pip-install-tg8m24gi/dlib/setup.py", line 123, in get_cmake_version
"\n*******************************************************************\n")
RuntimeError:
*******************************************************************
CMake must be installed to build the following extensions: dlib
*******************************************************************
解决方法：
下载安装最新 Cmake工具，
Download | CMakecmake.org安装之后依旧报错，
创建软连接：
sudo "/Applications/CMake.app/Contents/bin/cmake-gui" --install
再次安装face_recognition，成功。
仓库里面有很多示例代码：
比如找出照片中的人脸：
from PIL import Image
import face_recognition
# Load the jpg file into a numpy array
image = face_recognition.load_image_file("chuanpu.jpg")
# Find all the faces in the image using the default HOG-based model.
# This method is fairly accurate, but not as accurate as the CNN model and not GPU accelerated.
# See also: find_faces_in_picture_cnn.py
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:
# Print the location of each face in this image
top, right, bottom, left = face_location
print("A face is located at pixel location Top: {}, Left: {}, Bottom: {}, Right: {}".format(top, left, bottom, right))
# You can access the actual face itself like this:
face_image = image[top:bottom, left:right]
pil_image = Image.fromarray(face_image)
pil_image.show()测试图片：
测试结果：
