tor darknet

)Intrspagesize=checknum (vshownum,10,-1)End Property' Get pages per pagePublic Property Let Requestpage (ByVal vshownum)Intpagecun=checknum (vshownum,10,-1)End Property' Get other parameters on the URLPublic Property Let other (ByVal Tor)If tor= "" Or IsNull (Tor) ThenTother= ""ElseTother=tor ""End IfEnd Property' Out

Label:[The system currently used by the author is the Kali Infiltration system]===================================================================Download Tor FirstApt-get Install TorApt-getinstall PolipoBack up the Source.list file a copy of CP/etc/apt/sources.list/etc/apt/sources.list.bakUpdate fileApt-get UpdateThe source address of the Onion route is written into the Source.list fileVim/etc/apt/source.listAdd the following line in theDeb http://de

Original sticker: https://coolshell.cn/articles/1644.htmlUbuntu 9.10 just released, someone on the internet posted a post to tell everyone in the installation of this operating system, but also need to install some open source free software, quite rich. However, the link to this post has been GFW, so you need to use Tor support, or use Google Reader to view the source text (RSS link). And this post is very long, so I can not do full-text translation,

–proxy=proxy using proxies–string Specifying keywords–tor Creating an anonymous network of Tor–predict-output Common query Output predictions–keep-alive using persistent HTTP (S) connections–eval=evalcode using HTTP parameter pollution-a,-all Query All–hostname Host Name–is-dba whether it is administrator rights–users Enumerate all Users–passwords Enumerate all user passwords–roles Enumerating all user role

See someone using TensorFlow to reproduce the yoloV3, to record the code reading. The code that feels reproduced is not written very well, and some other people use Keras to reproduce the code.TensorFlow Code Address: 79940118The source code is divided into the following sections:train.py The main program train.py part of the training of their own data set, eval.py to take advantage of the training of good weights to predict. Reader for reading data labels, etc., config.yml for some parameters i

http://www.ivizsecurity.com/blog/penetration-testing/live-cd-penetration-testing-pen/Yesterday I was researching for some of the other lesser known live CDs for penetration testing. While I'm an avid user and a fan of backtrack, someone mentioned that there is other live CDs as well which is good for Specific functionality. I do take a look from the post at Darknet but I feel the list is somewhat outdated (written-in-the-back). For the benefit of the

) Spp-net:Paper:http://arxiv.org/pdf/1406.4729v4.pdfCode:https://github.com/shaoqingren/spp_net(5) YOLO:Paper:http://arxiv.org/pdf/1506.02640v3.pdfcode:http://pjreddie.com/darknet/yolo/(6) Target detection method combining end-to-end people detection in crowded SCENES:CNN and lstmPaper:http://arxiv.org/pdf/1506.04878v3.pdfCode:https://github.com/russell91/reinspectTracking(1) CMT:Paper:Cvpr2014:http://www.gnebehay.com/publications/cvpr_2015/cvpr_2015.

Project Introduction Yolo_mark is a test task data set making tool, after the completion of the data format is not VOC or Coco data format, from its name can be seen, it is specifically for the Yolo series of network training to prepare data, Yolo this is very willful, It does not use any of the existing deep learning frameworks to implement his code, but instead writes a pure C lightweight framework-darknet, so its training data is not prepared in t

First spit groove, deep learning development speed is really fast, deep learning framework is gradually iterative, it is really hard for me to engage in deep learning programmer. I began three years ago to learn deep learning, these deep learning frameworks are also a change, from Keras, Theano, Caffe, Darknet, TensorFlow, and finally now to start using Pytorch. I. Variable, derivative Torch.autograd module When the default variable is defined, Requir

This article is reproduced from: http://blog.csdn.net/u011534057/article/details/51244354 Reference Link:http://blog.csdn.NET/tangwei2014 This is after rcnn,fast-rcnn and FASTER-RCNN, RBG (Ross girshick) Great God, another masterpiece, played a very entertaining name: YOLO.Although the current version has some mishap, but the current based on the DL detection of a big pain point, is the speed problem.Its enhanced version of the GPU can run 45fps, simplifying version 155fps. Paper Download: htt

-ddos-simulator/ 5, R-u-dead-yet R-u-dead-yet is an HTTP POST Dos attack tool. It executes a Dos attack long form field, which is submitted by post method. This tool provides an interactive console menu, detects a given URL, and allows users to choose which tables and fields to use for post-based Dos attacks. Download: https://code.google.com/p/r-u-dead-yet/ 6. Tor ' s Hammer Tor ' Hammer is another good DO