英文文档: iter(object[, sentinel]) Return an iterator object. The first argument is interpreted very differently depending on the presence of the second argument. Without a second argument, object must be a collection object which supports the iteration
它可以很简单地构造一个无限迭代器: ): print(i) #将无限打印出0 原来,如果iter有第二个参数,那么第一个参数必须是一个参数可以省略的可调用对象.int函数符合这种要求. 迭代什么时候停止呢?当int()==1的时候就停止.显然这是不可能的,所以就无限迭代了. 官方文档定义: iter(object[, sentinel]) Return an iterator object. The first argument is interpreted very differently d
英文文档: iter(object[, sentinel]) Return an iterator object. The first argument is interpreted very differently depending on the presence of the second argument. Without a second argument, object must be a collection object which supports the iteration
1. DeepFace:Closing the Gap to Human-Level Performance in Face Verification 最早将深度学习用于人脸验证的开创性工作.Facebook AI实验室出品.动用了百万级的大规模数据库.典型的识别信号提特征+验证信号refine的两步走,对DeepID等后人的工作影响很大. 技术概括 关注了人脸验证流程中的人脸对齐步,采用了比较复杂的3D人脸建模技术和逐块的仿射变换进行人脸对齐.可以解决non-planarity对齐问题. 提出
from collections import Iterable print(isinstance({},iterable)) # 判断是否可迭代 from collections import Iterator #判断是否是迭代器 instance((x for x in range(5)),Iterator)) #生成器一定是迭代器 a = [1, 2, 3] b = iter(a) #变成一个迭代器 print(b.__next__()) #读取一次生成器 it = iter([
