Average is not Fast Enough! http://acm.hdu.edu.cn/showproblem.php?pid=1036 Problem Description A relay is a race for two or more teams of runners. Each member of a team runs one section of the race. Your task is to help to evaluate the results of a r…

Problem Description A relay is a race for two or more teams of runners. Each member of a team runs one section of the race. Your task is to help to evaluate the results of a relay race. You have to process several teams. For each team you are given a…

 题目链接:Average is not Fast Enough! #include <iostream> #include <cstring> #include <string> #include <cstdio> using namespace std; int main() { int n, id; double d; cin>>n>>d; while (cin>>id) { printf("%3d: &q…

Average is not Fast Enough! Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others) Total Submission(s): 3436    Accepted Submission(s): 1348 Problem Description A relay is a race for two or more teams of runners. Each mem…

thanks to http://stackoverflow.com/questions/2144459/using-scanf-to-accept-user-input and http://stackoverflow.com/questions/456303/how-to-validate-input-using-scanf for the i/o part. thanks to http://www.haodaima.net/art/137347 for the rounding part…

杭电ACM分类: 1001 整数求和 水题1002 C语言实验题——两个数比较 水题1003 1.2.3.4.5... 简单题1004 渊子赛马 排序+贪心的方法归并1005 Hero In Maze 广度搜索1006 Redraiment猜想 数论:容斥定理1007 童年生活二三事 递推题1008 University 简单hash1009 目标柏林 简单模拟题1010 Rails 模拟题(堆栈)1011 Box of Bricks 简单题1012 IMMEDIATE DECODABILITY…

各种杂题,水题,模拟,包括简单数论. 1001 A+B 1002 A+B+C 1009 Fat Cat 1010 The Angle 1011 Unix ls 1012 Decoding Task 1019 Grandpa's Other Estate 1034 Simple Arithmetics 1036 Complete the sequence! 1043 Maya Calendar 1054 Game Prediction 1057 Mileage Bank 1067 Rails 10…

序:这是一篇发表在2003年6月刊的MSDN Magazine的文章,现在已经不能在线阅读,只提供chm下载.讲的是异步请求处理那些事,正是我上一篇博文涉及的东西(BTW,事实上这篇杂志阐述了那么搞然并卵),期间有搜索到这篇文章,很受裨益.担心MS哪么时候不再提供下载以及本地保管不便,所以现在誊上来,作为备份,方便日后回顾. Fritz Onion This article assumes you're familiar with C#, ASP.NET, and MultithreadingL…

转载:from http://blog.csdn.net/qq_28236309/article/details/47818349 基础题:1000.1001.1004.1005.1008.1012.1013.1014.1017.1019.1021.1028.1029. 1032.1037.1040.1048.1056.1058.1061.1070.1076.1089.1090.1091.1092.1093. 1094.1095.1096.1097.1098.1106.1108.1157.116…

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.136 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.198 Average Precision (AP)…

This article is from blog of Amazon CTO Werner Vogels. -------------------- Today is a very exciting day as we release Amazon DynamoDB, a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Dynamo…

source: http://rostislav-matl.blogspot.com/2011/08/fast-inserts-to-postgresql-with-jdbc.html Thanks ! Fast Inserts to PostgreSQL with JDBC and COPY FROM Labels: batches, copy from, inserts, java, jdbc I was reading some materials on how to make datab…

Fast Food Time Limit:3000MS     Memory Limit:0KB     64bit IO Format:%lld & %llu Submit Status Practice UVA 662 Appoint description:  System Crawler  (2015-08-27) Description   The fastfood chain McBurger owns several restaurants along a highway. Rec…

Fast Food Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others) Total Submission(s): 2173    Accepted Submission(s): 930 Problem Description The fastfood chain McBurger owns several restaurants along a highway. Recently,…

目标检测是很多计算机视觉任务的基础,不论我们需要实现图像与文字的交互还是需要识别精细类别,它都提供了可靠的信息.本文对目标检测进行了整体回顾,第一部分从RCNN开始介绍基于候选区域的目标检测器,包括Fast R-CNN.Faster R-CNN 和 FPN等.第二部分则重点讨论了包括YOLO.SSD和RetinaNet等在内的单次检测器,它们都是目前最为优秀的方法. 一.基于候选区域的目标检测器 1.1  滑动窗口检测器 自从 AlexNet 获得 ILSVRC 2012 挑战赛冠军后,用 CN…

What is a good solution for calculating an average where the sum of all values exceeds a double's limits? According to the highest vote in: http://stackoverflow.com/questions/1930454/what-is-a-good-solution-for-calculating-an-average-where-the-sum-of…

Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells 2019-04-24 14:49:10 Paper:https://arxiv.org/pdf/1810.10804.pdf 在过去的许多年,大家一直认为网络结构的设计是人类的事情.但是,近些年 NAS 的发展,打破了这种观念,用自动化的方法在给定的数据上设计合适的网络结构,变的势不可挡.本文在语义分割的任务上,尝…

One of the key values at Facebook is to move fast. For the past six years, we have been able to accomplish a lot thanks to rapid pace of development that PHP offers. As a programming language, PHP is simple. Simple to learn, simple to write, simple t…

You're trying to set the record on your favorite video game. The game consists of N levels, which must be completed sequentially in order to beat the game. You usually complete each level as fast as possible, but sometimes finish a level slower. Spec…

文章名称:Fast Failure Detection and Recovery in SDN with Stateful Data Plane 利用SDN的带状态数据平面进行快速故障检测和恢复 发表时间:2017 期刊来源:COMMUNICATIONS SURVEYS AND TURORIALS ABSTRACT (摘要) 在SDN中解决节点.链路故障时,通过网络能力建立替代的路径依赖于控制器的可达性和控制器交换机之间的the round-trip times(RTTs).而且,当下的SDN数…

Fast Food My Tags (Edit) Source : Unknown Time limit : 3 sec Memory limit : 32 M Submitted : 3777, Accepted : 1147 The fastfood chain McBurger owns several restaurants along a highway. Recently, they have decided to build several depots along the hig…

Fast RCNN是对RCNN的性能优化版本,在VGG16上,Fast R-CNN训练速度是RCNN的9倍, 测试速度是RCNN213倍:训练速度是SPP-net的3倍,测试速度是SPP-net的3倍,并且达到了更高的准确率,本文为您解读Fast RCNN. Overview Fast rcnn直接从单张图的feature map中提取RoI对应的feature map,用卷积神经网络做分类,做bounding box regressor,不需要额外磁盘空间,避免重复计算,速度更快,准确率也更高…

参考文献 [1]Rich feature hierarchies for accurate object detection and semantic segmentation [2]Fast R-CNN [3]Faster R-CNN: towards real-time object detection with region proposal networks 1. 概述 图像分类,检测及分割是计算机视觉领域的三大任务.图像分类模型是将图像划分为单个类别,通常对应于图像中最突出的物体.但是…

RCNN -> SPPNet -> Fast-RCNN -> Faster-RCNN -> FPN YOLO v1-v3 Reference RCNN: Rich feature hierarchies for accurate object detection and semantic segmentation SPPNet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition…

Man 上的解释: load average System load averages is the average number of processes that are either in a runnable or uninterruptable state.  A process in a runnable state is either using the CPU or waiting to use the CPU.  A  process  in uninterruptable s…

不多说,直接上干货! 本文一系列目标检测算法:RCNN, Fast RCNN, Faster RCNN代表当下目标检测的前沿水平,在github都给出了基于Caffe的源码. •   RCNN RCNN(Regions with CNN features)是将CNN方法应用到目标检测问题上的一个里程碑,由年轻有为的RBG大神提出,借助CNN良好的特征提取和分类性能,通过RegionProposal方法实现目标检测问题的转化. 算法可以分为四步:         1)候选区域选择 Region P…

Selective Search for Object Recoginition 这篇论文是J.R.R. Uijlings发表在2012 IJCV上的一篇文章,主要介绍了选择性搜索(Selective Search)的方法.物体识别(Object Recognition),在图像中找到确定一个物体,并找出其为具体位置,经过长时间的发展已经有了不少成就.之前的做法主要是基于穷举搜索(Exhaustive Search),选择一个窗口(window)扫描整张图像(image),改变窗口的大小,继续扫…

Clustering by fast search and find of density peak. Alex Rodriguez, Alessandro Laio 是发表在Science上的一篇很好的阐述一种新聚类算法的paper,其自带代码 http://www.sciencemag.org/content/suppl/2014/06/25/344.6191.1492.DC1/1242072DataS1.zip 展示了该代码的实现过程和使用结果. 不过,该测试代码要求输入为一个格式特殊的三…

引言 之前学习了 R-CNN 和 SPPNet,这里做一下回顾和补充. 问题 R-CNN 需要对输入进行resize变换,在对大量 ROI 进行特征提取时,需要进行卷积计算,而且由于 ROI 存在重复区域,所以特征提取存在大量的重复计算: SPPNet 针对 R-CNN 进行了改进,其利用空间金字塔池化来解决形变问题,并且只计算一次卷积得到特征图,ROI 的特征从该特征图的对应区域提取: 但是两者采用相同的计算框架,非常繁琐,特别是需要训练SVM分类器,拟合检测框回归,这两步不仅需要分步进行,使…

目录: 一.环境准备 二.训练步骤 三.测试过程 四.计算mAP 寒假在家下载了Fast R-CNN的源码进行学习,于是使用自己的数据集对这个算法进行实验,下面介绍训练的全过程. 一.环境准备 我这里的环境是win10系统,pycharm + python3.7 二.训练过程 1.下载Fast R-CNN源码 https://github.com/dBeker/Faster-RCNN-TensorFlow-Python3 2.安装扩展包 下载的源码中有一个 requirements.txt文件,…