标签：source file import can actual 图片 ott cond mat
感谢知乎老狼https://zhuanlan.zhihu.com/p/27275307，点击链接
Anaconda的安装
face_recognition库安装
from PIL import Image import face_recognition # Load the jpg file into a numpy array image = face_recognition.load_image_file("wang.jpg") # Find all the faces in the image 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()
image = face_recognition.load_image_file("wang.jpg")读取jpg文件，jpg文件和程序放在同一个文件夹下
face_locations = face_recognition.face_locations(image)
face_recognition详细请参考 http://yongyuan.name/blog/deep-face-recognition-note.html
print("I found {} face(s) in this photograph.".format(len(face_locations)))
打印在改图片发现的人脸数
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))
for循环遍历face_locations，并且逐个打印图片上述属性
标签：source file import can actual 图片 ott cond mat
原文地址：http://www.cnblogs.com/Mathsion811/p/6959517.html
