sinkhole detection

Today in the program appeared a bugger, debugging for a long time, finally found that the original is this problem. An experiment was done: Alert (parseint ("01")), when the value inside this is 01==== 07 o'clock is normal, but in "08", "09" will

Turn from: Global AI http://www.sohu.com/a/135469270_642762 Paper Address: https://arxiv.org/pdf/1704.04503.pdf GitHub Project: Https://github.com/bharatsingh430/soft-nms Improve target detection accuracy with one line of code Paper abstract Non-maximum suppression (Non-maximum suppression, NMS) is an important part of the object detection process. It first generates a

Title: Introduction to Intrusion detection technology time: 2004-06-13 Source: http://www.meiclub.com/Abstract with the development of computer technology, especially network, computer system has been developed from independent host to complex and interconnected open system, This has brought great convenience to people in the use of information and the sharing of resources. At the same time, people are faced with a series of security problems caused b

In the previous sections, we have covered what is target detection and how to detect targets, as well as the concepts of sliding windows, bounding box, and IOU, non-maxima suppression.Here will summarize the current target detection research results, and several classical target detection algorithms to summarize, this article is based on deep learning target

(reproduced, did not find the original source, such as invasion of the deletion or reminder to increase the source, thank you.) ) Pedestrian detection resources (top) Review literature http://www.cvrobot.net/pedestrian-detection-resource-1-summary-review-survey/ Pedestrian detection resources (below) code data http://www.cvrobot.net/pedestrian-

transferred from: http://blog.csdn.net/likezhaobin/article/details/6892176 Author: Catalonia The edge of image refers to the part where the brightness of the image is changed significantly, and the gray section of the region can be regarded as a step, which changes from one gray value to another in a very small buffer area to a gray scale with a large difference. The edge of the image is focused on the most information of the image, the determination and extraction of image edge is very importa

This article is mainly through an experiment to describe, the process is more boring.Experiment PreparationCREATE TABLE Test_lock (ID int auto_increment PRIMARY key, stock int) Engine=innodb;Insert into Test_lock (id,stock) value (1,50);Here I make the stack information as simple as possible, the names of the 25 main functions and the entry parametersIn order to highlight the topic, I add this to the opening deadlock detection function list, altogeth

A little understanding, specific use can be re-read data. In order to eliminate differences between browsers. Do not use the customer detection method at a specific time, should give priority to the general method, and then consider the browser particularity. Ability detection (feature detection), quirks detection (bro

From the simplest packet filtering firewall to the application layer gateway, since the date of birth, the firewall has increasingly assumed more and more network security role. In recent years, an innovative firewall technology is widely used, which is known as depth packet detection of dip (Deep Packet Inspection) technology.Historical ReviewBefore delving into the depth-pack detection technology, let's r

transferred from: http://blog.csdn.net/stellar0/article/details/8777283 Author: Star Zai ViBe algorithm: vibe-a powerful technique for background detection and subtraction in video sequences Judge Net: http://www2.ulg.ac.be/telecom/research/vibe/ Describe: Vibe is a pixel-level video background modeling or foreground detection algorithm, the effect is better than several well-known algorithms, the hardware

Target detection is a simple task for a person, but for a computer it sees an array of values of 0~255, making it difficult to directly get a high-level semantic concept for someone or a cat in the image, or the target to eat the area in the image. The target in the image may appear in any position, the shape of the target may have a variety of changes, the background of the image is very different ..., these factors lead to target

The previous blog post deformable Parts Model (DPM) detection acceleration algorithm has been mentioned in the introduction, [1] ECCV Exact acceleration of Linear Object Detectors By using FFT, the convolution calculation of model and hog feature in airspace is transformed into multiplication operation of corresponding position element in frequency domain, which realizes the acceleration of DPM detection. I

In Java Web applications, especially Web site development, we sometimes need to add an intrusion detection program to the application to prevent the malicious refresh of the ability to prevent illegal users from constantly sending data to the Web application. Of course, intrusion detection can be implemented in many ways, including software, hardware firewall, intrusion

Drive Life website online detection, using the Web version of the interface, automatic monitoring of computer hardware, and matching the corresponding driver, his advantage lies in the Web interface with the use of driving automatic detection, no need to know your computer hardware brand and model, automatic drive a key accurate search, you can get the appropriate driver, online drive

This is the second part, the first part please click the measurement method of ICDAR2013 text detection algorithm (a) Evaluation levelsMain content: ICDAR2013 method for Rectangle Matching, or bbox Matching foucsed evaluation Image Text detection task If not specifically stated, the following: The evaluation/measurement method is only for the text localization algorithm; text

The problem at the optical fiber connection is the main cause of network failure. Therefore, the detection of the optical fiber end is crucial. This article discusses three main face detection methods. The optical fiber end surface processing quality has a great impact on the overall performance of the optical fiber communication system. It is estimated that more than half of the loss in the network is caus

Original sourceThank the Author ~Faster r-cnn:towards Real-time Object Detection with region Proposalnetworksshaoqing Ren, kaiming He, Ross girshick, Jian SuNSummaryAt present, the most advanced target detection network needs to use the region proposed algorithm to speculate on the target location, such as sppnet[7] and fast r-cnn[5] These networks have reduced the running time of the

Introduction to Intrusion Detection Systems Chapter 1 concept of Intrusion Detection System As more and more companies transfer their core services to the Internet, network security is an unavoidable problem. Traditionally, companies generally adopt firewalls as the first line of defense for security. With the increasingly sophisticated knowledge of attackers and the increasingly complex and diverse att

The edge of image refers to the part where the brightness of the image is changed significantly, and the gray section of the region can be regarded as a step, which changes from one gray value to another in a very small buffer area to a gray scale with a large difference. The edge of the image is focused on the most information of the image, the determination and extraction of image edge is very important for the whole image scene recognition and understanding, and is also an important feature t

(in fact, New/delete is also used malloc/free, so long as the previous group can be intercepted). For other leaks, a similar method can be used to intercept the corresponding allocation and deallocation functions. For example, to detect a BSTR leak, you need to intercept sysallocstring/sysfreestring, to detect hmenu leakage, you need to intercept createmenu/destroymenu. (There are a number of allocation functions of the resources, the release function only one, for example, SysAllocStringLen ca