CVPR2020论文介绍: 3D 目标检测高效算法 CVPR 2020: Structure Aware Single-Stage 3D Object Detection from Point Cloud 随着CVPR2020入选论文的曝光,一篇关于自动驾驶的文章被录用,该论文提出了一个通用.高性能的自动驾驶检测器,首次实现3D物体检测精度与速度的兼得,有效提升自动驾驶系统安全性能.目前,该检测器在自动驾驶领域权威数据集KITTI BEV排行榜上排名第三.论文是如何解决物体检测难题的? View
# ip ==> 数字 >>> ip2num = lambda x:sum([256**j*int(i) for j,i in enumerate(x.split('.')[::-1])]) >>> ip2num('192.168.0.1') 3232235521 # 数字 ==> ip # 数字范围[0, 255^4] >>> num2ip = lambda x: '.'.join([str(x/(256**i)%256) for i i
例子:IP:192.168.1.10 方法一: In [1]: bin(192)Out[1]: '0b11000000' In [2]: bin(168)Out[2]: '0b10101000' In [4]: bin(1)Out[4]: '0b1' In [5]: bin(10) Out[5]: '0b1010' 所以192.168.1.10 转换成整数:3232235786 In [6]: 0b11000000101010000000000100001010Out[6]: 323223578
A permutation on the integers from 1 to n is, simply put, a particular rearrangement of these integers. Your task is to generate a given permutation from the initial arrangement 1, 2, 3, . . . , n using only two simple operations. • Operation 1: You
来源:http://www.cnblogs.com/vovlie/archive/2012/10/17/2727029.html 利用lambda表达式,非常简洁 int_to_ip = lambda x: '.'.join([str(x/(256**i)%256) for i in range(3,-1,-1)]) ip_to_int = lambda x:sum([256**j*int(i) for j,i in enumerate(x.split('.')[::-1])]) int to