tor darknet

). We add a custom convolution layer (blue) after the network and use convolutional cores (green) to perform predictions.Perform a single prediction of categories and locations at the same timeHowever, the convolution layer reduces the spatial dimension and resolution. So the above model can only detect larger targets . to solve this problem, we perform independent target detection from multiple feature maps. The multi-scale feature map is used to detect independently. Use multi-scale feature ma

. Multi-scale Training allows YOLO v2 to make a balanced selection of speed and accuracy, 228x228 input YOLO can reach 90fps, can be applied to smaller GPUs (e.g. we do embedded) for real-time monitoring and high frame rate video detection. The subscript lists the accuracy and speed comparison of the YOLO V2, which shows the speed advantage of the YOLO. 2. Faster YOLO v2 not only to pursue the accuracy rate, more importantly, speed, robot control, autonomous driving technology, it must rely on

Preface On June 30, 2017, the source of YOLO on GitHub was updated, and the location of many files changed. This led me to a lot of trouble when I used YOLO v2 to train my own data (many of the solutions on the Web were not perfect). In this experience, I fully recognized the importance of understanding the source code for the successful training of their own data, so I decided to put the YOLO V2 for everyone to comb a simple, easy to YOLO official online training methods understanding. (becaus

Prerequisite Description: 1, about YOLO and YOLO v2 detailed explanation please move to the following two links, or directly read the paper (I myself have to write YOLO tutorial, but after thinking the following two links in the article quality is very good _ (: З"∠) _) Yolo:https://zhuanlan.zhihu.com/p/24916786?refer=xiaoleimlnote Yolo v2:https://zhuanlan.zhihu.com/p/25167153 2, this article only interprets the source code of the loss function of YOLO V2, please use the following command git cl

Yolo_tensorflow-master Code Download: Https://github.com/gliese581gg/YOLO_tensorflow 1. Introduction to the ModelYolo_tensorflow (Version 0.2, last updated:2016.02.16) 1.Introduction This is TensorFlow implementation of the Yolo:real-time Object Detection It can only do predictions using pretrained Yolo_small Yolo_tiny Network for now. I ' m gonna support training later. I extracted weight values from darknet ' s (. weight) files. Original Code (C I

accesses the VIP address and arrives at the Director Server, the Director Server selects a Real Server Based on certain rules, and then returns the data to the client after the processing is complete. These steps cause some specific problems, such as how to select a specific Real Server, and how to return Real Server data to the client. IPVS has three mechanisms: 1.VS/NAT(Virtual Server via Network Address Translation), that is, the Network Address Flip technology implements Virtual Server. Whe

make the effort, you can build such a service yourself? Purchasing a third-party service may be a good choice. OpenVPN is not prepared for scientific Internet access. Many Chinese universities use OpenVPN as a basic network connection method, but some people find OpenVPN.net (the largest OpenVPN service provider) services can be turned over and free of charge, so it is becoming popular in China. It is rumored that the firewall can now identify and block OpenVPN.net traffic, and the NSA can iden

//memento memory mode. #include #include using namespace STD;classMemento;classoriginator{ Public: Originator (Char*s ="") {_str =New Char[ -];strcpy(_str,s); }voidSetsate (Char*s) {strcpy(_str,s); }voidSetmem ();voidRestoretomem ();voidPrintf () {cout"Originator::"Private: Memento *mem;Char*_str;};classmemento{ Public: Memento () {} Memento (Const Char*s) {m_t =New Char[strlen(s)];strcpy(m_t,s); }Char*getstr () {returnm_t; }Private:Char*m_t;};voidOriginator::restoretomem () {_str = Mem->getstr

This is a creation in Article, where the information may have evolved or changed. Python has become one of the most commonly used languages in artificial intelligence and other related sciences due to its ease of use and its powerful library of tools. Especially in machine learning, is already the most favored language of major projects. In fact, in addition to Python, there is no shortage of developers in other languages to write excellent machine learning programs. Here are some of the open-s

=1 height=416 width=416 channels=3 max_crop=428 min_crop=428 hue=.1 saturation=.75 exposure=.75 learning_rate=0.1 policy=poly power=4 max_ Batches = momentum=0.9 decay=0.0005 [convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=leaky [Maxpool] size=2 stride=2 [ Convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation= Leaky [Maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [convoluti

character used to split the cookie value--load-cookies=l. Netscape/wget format files that contain cookies--drop-set-cookie Ignore Set-cookie from response--user-agent=agent HTTP user-agent Value--random-agent using a randomly selected HTTP user-agent value--host=host HTTP Host Value--referer=referer HTTP referer Value-H HEADER,--hea. Extension header (e.g. "x-forwarded-for:127.0.0.1")--headers=headers extension head (e.g. "accept-language:fr\netag:123")--auth-type=auth. HTTP Authentication Type

Firefox browsers are becoming increasingly popular in China. Here we will introduce a security setting article on Firefox, which allows users to take precautions when browsing the Internet.1. Modify useragent In FF, enter about: config to add general. useragent. override. Set to GoogleBot 1.2 (+ http://www.google.com/bot.html) You can also set it to another one. After being set to googlebot, access to some sites is restricted, such as yahoo, wiki, and gmail. You can use the firefox plug-in to sw

Server selects a Real Server Based on certain rules, and then returns the data to the client after the processing is complete. These steps cause some specific problems, such as how to select a specific Real Server, and how to return Real Server data to the client. IPVS has three mechanisms: 1. VS/NAT (Virtual Server via Network Address Translation), that is, the Network Address Flip technology implements Virtual servers. When the request arrives, the program processed on the

Application scenarios of SDN switches in cloud computing networks (1) The SDN technology has been developing for several years, and the history of cloud computing is longer. The combination of the two is even more popular as a killer application of SDN in the past two years, some well-known consulting companies have come to the conclusion that SDN has increased its market share year by year. It mainly refers to the application of SDN in cloud computing networks. SDN applications in cloud comput

Application scenarios of SDN switches in cloud computing networks (1) The SDN technology has been developing for several years, and the history of cloud computing is longer. The combination of the two is even more popular as a killer application of SDN in the past two years, some well-known consulting companies have come to the conclusion that SDN has increased its market share year by year. It mainly refers to the application of SDN in cloud computing networks. SDN applications in cloud comput

. NET/$ ppa_name/ubuntu oneiric main ">/etc/apt/sources. list, I use Oneiric. You can use Lucid, Raring, or Saucy based on your choice. Now, use the chmod and chown commands to perform operations on the file. Chown root: root/usr/sbin/add-apt-repository /Usr/sbin/add-apt-repository ppa: alecive/antigone I deleted all the screens in this article, but if you want to see clearly how it works, we recommend that you refer to add-apt-repository to the PPA software library in Kali Linux for mo

rate is 89.96%, (the data seems to have a problem.) Looks good, but does not work well when actually detecting pictures, especially for datasets other than Kitti. Reasons to study, welcome to the comment area guidance message exchange. Different function is detector behind the parameters are not the same, there are train,test,recall,demo and so on, you can see the source detector.c If you're just testing a single image, use the test command, like Darknet.exe detector test data/kitti.

1. Why do I need VxlanThe average number of VLANs is only 4,096, unable to meet the needs of large-scale cloud computing IDC, and why IDC needs so many VLANs, because most of the IDC internal structure is mainly divided into two kinds of l2,l3. L2 structure inside, all servers are in a large LAN inside, Tor Transparent L2, different switches on the server interoperability by MAC address, communication isolation and broadcast isolated VLAN, gateway in

What kind of open computing switch can you buy? Whether you love it or hate it, the Open Computing Project (OCP) has made waves in the hardware world of the data center. When Facebook decided to develop and produce its own high-performance data center switch, it reminded network giants Cisco and Hewlett-Packard to let them know that the present is a changing era. Two years ago, Facebook announced the development of a top-level rack switch unrelated to the operating system for the data center, w

(default: 1)-dnsseedQuery for peer addresses via DNS lookup, if low on addresses (default:1 Unless-connect used)-externalip=Specify your public address-forcednsseedAlways query the node address via DNS (default: 0)-listenAccept connections from external (default: If the Or-connect parameter is set to 1 without the-proxy)-listenonionAutomatically build Tor stealth service (default: 1)-maxconnections=Keep up to -maxreceivebuffer=Maximum receive cache p