sinkhole detection

Ren, Shaoqing, et al. "Faster r-cnn:towards Real-time object detection with region proposal networks." Advances in neural information processing Systems. 2015.After Rcnn[1],fast Rcnn[2], this article is another masterpiece of the Ross Girshick team, the leader of the target detection community in 2015. The detection speed of simple network target is 17fps, the ac

One, web monitoringWeb Scenarios (Web scene) is used to monitor web programs, can monitor the download speed of Web programs, return code and response time, but also support a set of continuous web actions as a whole to monitor.1, the principle of web monitoringWeb monitoring is the monitoring of the HTTP service, simulating the user to visit the site, to compare specific results, such as status code, return string, and other specific data for comparison and monitoring, so as to determine the av

Image preprocessing Several typical noises in digital images are: The Gaussian noise originates from the noise of the electronic circuit and the sensor noise caused by low illumination or high temperature, and the noise of salt and pepper is similar to the particles of pepper and powder which are randomly distributed on the image, mainly by the image cutting or the error caused by the transform domain; In general, the introduction of the additive random noise, mean filter, median filter, Gaussia

Computer popularization, broadband prevalence, now many friends online time is very long, so the security of the system has become "the most important." Fortunately, many security sites now provide online detection services, can be a good help us to detect the existence of their own computer vulnerabilities and security risks, so that timely and effective solutions to these problems. 　　 first, the Internet Assistant Computer physical examination In

The target detection algorithm of the RCNN series previously studied was to extract the candidate regions, then use the classifier to identify the regions and position the candidate regions. The process of this kind of method is complex, there are some shortcomings such as slow speed and difficulty in training. The YOLO algorithm considers the detection problem as a regression problem, uses a single neural

Sobel Edge Detection algorithmReprint Please specify source: http://blog.csdn.net/tianhai110The Bell operator (Sobel operator) is mainly used for edge detection, and technically, it is a discrete difference operator, which is used to calculate the approximate value of the grayscale of the image luminance function. Using this operator at any point in the image will produce a corresponding grayscale vector or

Win2000 server Security Configuration, a carefully configured Win2000 server can protect against more than 90% intrusion and infiltration, but system security is a continuous process, with the advent of new vulnerabilities and server application changes, the security situation of the system is also changing At the same time, because of the contradictory unity of attack and defense, the magic long and the magic is also in constant conversion, so the system administrator can not guarantee that a s

Settings > Security > No onbody detection option under Smart lock[DESCRIPTION] Settings > Security >smart Lock does not have the on-body detection option. [Solution] A description of this feature can be found on Google's official website: Https://support.google.com/nexus/answer/6093922?p=personal_unlockingrd=1 This feature is available on specific devices only. When you carry your device with you (for e

Hog Characteristics of image feature extraction from target detection Zouxy09@qq.com Http://blog.csdn.net/zouxy09 1. Hog Features: The directional gradient histogram (histogram of oriented Gradient, HOG) is a feature descriptor used for object detection in computer vision and image processing. It is characterized by calculating and statistic the gradient direction histogram of local region of image. Hog f

.1.2.2 Training data (x, y), X for the picture, assuming 32*32*3, Y for the label, need to represent the classification and positioning of the position box, such as y= (PC, BX, by, BH, BW, C1, C2, C3), pc=1 that the picture target for pedestrians, cars, motorcycles, pc=0 means no target , as a background picture. The C1,C2,C3 is used to indicate which category the target is specifically classified. such as y= (1, 0.3, 0.6, 0.3, 0.4, 0, 1, 0) indicate the target for the car; y= (0,?,?,?,?,?,?,?)

Wunda Automatic driving target detection data set: Automatic driving target detection autonomous Driving-car detection Welcome to your Week 3 programming assignment. You'll learn about object detection using the very powerful YOLO model. Many of the ideas in this notebook is described in the YOLO Papers:redmon et al.,

9.1 Capability Detection The most commonly used and most widely accepted is that the client detection form is capability detection (also called feature detection). The goal of competency detection is not to identify a particular browser, but to identify the browser's capabil

In the previous blog feature point detection learning _1 (SIFT algorithm), the classical SIFT algorithm is introduced briefly, the SIFT algorithm is stable, the detected feature points are also more, the biggest determination is the high computational complexity. There are many scholars to improve it, in which the more famous is the surf algorithm introduced in this paper, the Chinese meaning of surf is fast robust feature. This article is not specifi

= =| | ), this method is ignored directly, so the final decision is to use Method 1.In fact, Method 1 still has a lot of ways to improve, and then refer to the 12 floor method of this post, using indexed array with associative array, improve the efficiency of the retrieval, even the steps of the word-breaker are omitted. The entire implementation code is as follows. Import Org.apache.commons.lang.stringutils;import Org.apache.commons.io.fileutils;import Org.apache.commons.lang.stringutils;impor

The first step: Find the site of the injection point Injection point shape such as: http://www.xxxxxxx.com/abc.asp?id=2 1. Can directly click on the link in the site, if the link address is the form above, directly fill in the Injection Point text box 2. Can also use the software "injection point detection", in the Injection Point detection window and then click the "Connect" button, the software will au

SQLMAP Automatic InjectionOptimization"Optimize performance parameters for increased efficiency"- o: Specify the first three parameters (--predict-output 、--keep-alive 、--null-connection)--predict-output:According to the detection method, the ratio of the return value and the statistical table content , reduce the detection range, improve detection efficiencyDete

sensitive profiles, power through kernel exploits, use scripts that can be invoked by root users under a low-privileged user directory, task scheduling, and so on (from getting started to giving up) (4) Very strong concealment Some malicious web scripts can be nested in a normal web page to run, and not easily be avira. Webshell can also traverse the server firewall, because the data that interacts with the controlled server or remote host is passed through 80 ports, so it is not blocked by the

With the increasing risk coefficient of network security, firewalls, once the most important security defense means, cannot meet people's requirements for network security. As a supplement to firewalls and their benefits, IDS (Intrusion Detection System) can help network systems quickly detect attacks, it extends the security management capabilities of System Administrators (including security audit, monitoring, attack identification and response) and

With the increasing of the risk coefficient of network security, the firewall, which used to be the main security precaution, can not meet the need of the network security. As a useful complement to the firewall, IDS (Intrusion detection System) can help the network system to quickly detect the occurrence of the attack, it extends the system administrator's security management capabilities (including security audit, monitoring, attack identification a

Webshell detection-Log Analysis It is always believed that the final meaning of log analysis is evidence collection and prediction-a complete story of ongoing, ongoing, and future attacks (when. where. who. what happened. why ).This article explains how to identify webshell, that is, to trace the attack events that have occurred from the identified attack events. The implanted webshell is undoubtedly a definite attack event, as long as it has been pas