B. Pyramid of Glasses】的更多相关文章

B. Pyramid of Glasses time limit per test 1 second memory limit per test 256 megabytes input standard input output standard output Mary has just graduated from one well-known University and is now attending celebration party. Students like to dream o…
题目链接: B. Pyramid of Glasses time limit per test 1 second memory limit per test 256 megabytes input standard input output standard output Mary has just graduated from one well-known University and is now attending celebration party. Students like to d…
Pyramid of Glasses time limit per test 1 second memory limit per test 256 megabytes input standard input output standard output Mary has just graduated from one well-known University and is now attending celebration party. Students like to dream of a…
原题链接 B. Pyramid of Glasses Mary has just graduated from one well-known University and is now attending celebration party. Students like to dream of a beautiful life, so they used champagne glasses to construct a small pyramid. The height of the pyram…
B. Pyramid of Glasses 题目连接: http://www.codeforces.com/contest/676/problem/B Description Mary has just graduated from one well-known University and is now attending celebration party. Students like to dream of a beautiful life, so they used champagne…
题目链接:http://codeforces.com/problemset/problem/676/B 递推,dp(i, j)表示第i层第j个杯子,从第一层开始向下倒,和数塔一样的题.每个杯子1个时间能倒满,从上开始向下倒时间为t,那每个杯子不满的时候对下面的贡献一定是0,所以当dp[i][j]>=1的时候,计数倒满的杯子并且将溢出的酒向下平分. /* ━━━━━┒ギリギリ♂ eye! ┓┏┓┏┓┃キリキリ♂ mind! ┛┗┛┗┛┃\○/ ┓┏┓┏┓┃ / ┛┗┛┗┛┃ノ) ┓┏┓┏┓┃ ┛┗…
题目链接:http://codeforces.com/problemset/problem/676/B 题意:一个n层的平面酒杯金字塔,如图,每个杯子的容量相同.现在往最顶部的一个杯子倒 t 杯酒,求流动结束后有多少个杯子被装满. 思路:每个局部的两代三个杯子的流动过程是一致的,因此可以用递归来模拟求解. 具体为:设add(cur, i, l)执行“往第 i 个杯子倒cur量的酒”,附加信息: i 位于第 l 层.若执行完剩余了surplus量的酒,则往 i 的下一层左右两侧的杯子各倒surpl…
Codeforces Round #354 (Div. 2) Problems     # Name     A Nicholas and Permutation standard input/output 1 s, 256 MB    x3384 B Pyramid of Glasses standard input/output 1 s, 256 MB    x1462 C Vasya and String standard input/output 1 s, 256 MB    x1393…
贪心 A Nicholas and Permutation #include <bits/stdc++.h> typedef long long ll; const int N = 1e5 + 5; int a[105]; int pos[105]; int main() { int n; scanf ("%d", &n); for (int i=1; i<=n; ++i) { scanf ("%d", a+i); pos[a[i]] =…
B. Pyramid of Glasses 题目链接:http://codeforces.com/contest/676/problem/B Mary has just graduated from one well-known University and is now attending celebration party. Students like to dream of a beautiful life, so they used champagne glasses to constr…
B - Pyramid of Glasses n层杯子,问k分钟能流满多少个杯子?和到香槟一样的过程? 思路:应为水的流速为每分钟一立方体(YY),可以做个转化,把最上层的杯子最原始的容积看成K,每个杯子的满的状态为体积为1,那么只要判断所有杯子体积是否大于1就可以. //#pragma comment(linker, "/STACK:167772160")//手动扩栈~~~~hdu 用c++交 #include <cstdio> #include <cstring&…
http://codeforces.com/contest/676 A. Nicholas and Permutation 题意:有一个从1到n的数列,可以任意对调两个数字一次,问数字1和n所在位置之间的最大距离是多少? 思路:可以选择把数字1和开头的数字对调,或者1和末尾的数字对调,或者n和开头的数字对调,或者n和末尾的数字对调,一共四种对调方法,只需要比较对调之后的下标差的绝对值,取最大的即可. 代码: #include<iostream> #include<cstdio> #…
B. Pyramid of Glasses time limit per test 1 second memory limit per test 256 megabytes input standard input output standard output Mary has just graduated from one well-known University and is now attending celebration party. Students like to dream o…
在学习r-cnn系列时,一直看到SPP-net的身影,许多有疑问的地方在这篇论文里找到了答案. 论文:Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition 转自:http://blog.csdn.net/xzzppp/article/details/51377731 另可参考:http://zhangliliang.com/2014/09/13/paper-note-sppnet/ http:/…
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks NIPS 2015  摘要:本文提出一种 generative parametric model 能够产生高质量自然图像.我们的方法利用 Laplacian pyramid framework 的框架,从粗到细的方式,利用 CNN 的级联来产生图像.在金字塔的每一层,都用一个 GAN,我们的方法可以产生更高分辨率的图像.    引言:在计算…
Pyramid Split Time Limit: 1 Sec Memory Limit: 256 MB 题目连接 http://bestcoder.hdu.edu.cn/contests/contest_chineseproblem.php?cid=629&pid=1001 Description 小明是城会玩,他有很多底面是正方形的黄金锥体,我们称之为金字塔,它由高度和底面正方形边长可以确定,分别称之为金字塔的高和宽. 为了便于理解,单位统一取米.现在小明有nn个金字塔,已知它们的高和宽,小…
Spatial Pyramid Matching 小结 稀疏编码系列: (一)----Spatial Pyramid 小结 (二)----图像的稀疏表示——ScSPM和LLC的总结 (三)----理解sparse coding (四)----稀疏模型与结构性稀疏模型 --------------------------------------------------------------------------- SPM [1]全称是Spatial Pyramid Matching,出现的背景…
1,安装pyramid --在次之前最好先安装python virtualenv --python virtualenv ---激活方式pyenv activate pip install pyramid 2,创建项目MyProject pcreate -s alchemy MyProject 3,用来安装项目文件 python setup.py develop 4,初始化DB initialize_MyProject_db.exe MyProject\development.ini 5,启动项…
假设你也发现依照教程代码完毕贴图时,你会底面的坐标和寻常顶点坐标正负相反,比方-1.0f, -1.0f, -1.0f这个顶点相应的却是世界坐标中1.0f,-1.0f,1.0f 问题到底出如今哪里? 原来是:objectFrame.GetCameraMatrix(mObjectFrame); //原书中的代码为GetMatrix.获取了objectFrame的朝向.导致顶点和纹理的对象关系出现了相反内容 objectFrame中的朝向和OpenGL的默认朝向相反,getMatrix的操作会导致mo…
Golden Pyramid Our Robo-Trio need to train for future journeys and treasure hunts. Stephan has built a special flat model of a pyramid. Now the robots can train for speed gold running. They start at the top of the pyramid and must collect gold in eac…
Problem Description Xiao Ming is a citizen who's good at playing,he has lot's of gold cones which have square undersides,let's call them pyramids. Anyone of them can be defined by the square's length and the height,called them width and height. To ea…
想直接看公式的可跳至第三节 3.公式修正 一.为什么需要SPP 首先需要知道为什么会需要SPP. 我们都知道卷积神经网络(CNN)由卷积层和全连接层组成,其中卷积层对于输入数据的大小并没有要求,唯一对数据大小有要求的则是第一个全连接层,因此基本上所有的CNN都要求输入数据固定大小,例如著名的VGG模型则要求输入数据大小是 (224*224) . 固定输入数据大小有两个问题: 1.很多场景所得到数据并不是固定大小的,例如街景文字基本上其高宽比是不固定的,如下图示红色框出的文字. 2.可能你会说可以…
Which glasses does the man want? A:Give me some glasses please, Jane? B:Which glasses? These glasses? A:No, not thonse. The ones on the shelf. B:These? A:Yes, please. B:Here you are. A:Thanks.…
We are stacking blocks to form a pyramid. Each block has a color which is a one letter string, like `'Z'`. For every block of color `C` we place not in the bottom row, we are placing it on top of a left block of color `A` and right block of color `B`…
We are stacking blocks to form a pyramid. Each block has a color which is a one letter string, like `'Z'`. For every block of color `C` we place not in the bottom row, we are placing it on top of a left block of color `A` and right block of color `B`…
https://vitalab.github.io/deep-learning/2017/04/04/feature-pyramid-network.html Feature Pyramid Networks for Object Detection Reviewed on Apr 4, 2017 by Frédéric Branchaud-Charron • https://arxiv.org/pdf/1612.03144.pdf Reference : T. Lin, P. Dollár,…
论文源址:https://arxiv.org/abs/1612.03144 代码:https://github.com/jwyang/fpn.pytorch 摘要 特征金字塔是用于不同尺寸目标检测中的基本组件.但由于金字塔表征的特征需要消耗较多的内存及计算资源,因此,深度学习尽量避免使用金字塔特征.本文利用深度卷积网络中自带的多尺寸信息构建特征金字塔.本文搭建了具有横向连接的自上而下的结构FPN,从而在所有尺寸上构建高层次的语义特征.本文在Faster R-CNN的基础结构上增加了FPN结构,并…
论文源址:https://arxiv.org/pdf/1612.01105.pdf tensorflow代码:https://github.com/hellochick/PSPNet-tensorflow 基于PSPNet101的钢铁分割实验:https://github.com/fourmi1995/IronSegExperiment-PSPNet 摘要 对于不非特殊条件的场景解析仍十分困难.该文利用金字塔池化模型,融合了图像中不同区域的上下文信息. 介绍 分割可以预测完全理解场景,预测标签,…
作者:Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun 以前的CNNs都要求输入图像尺寸固定,这种硬性要求也许会降低识别任意尺寸图像的准确度.为避免这个问题,何凯明等人在该论文中提出了一种池化策略,"spatial pyramid pooling(SSP)",即空间金字塔池化.带有该池化层的网络被称为SPPnet,对任何尺寸的输入图像都能生成固定长度的特征表示.由此可见,理论上SPPnet可以改进所有基于CNN的图像分类等方法中…
论文连接 网络简介 face++2017年coco keypoint benchmark 数据集冠军的文章,发表于CVPR201 1  提出了一种金字塔型的串接模型,即CPN(cascaded pyramid network),这个模型能够同时兼顾人体关节点的局部信息以及全局信息,结果取得了不错的效果; 2   使用了在线难例挖掘(online hard keypoints mining)的技术,这对于人体姿态估计任务中一些存在遮挡的“hard”的关键点的预测有所帮助: 3   测试阶段考量了s…