atc4 detection

FeedRecently a series of physics related, first of all to summarize some of the things written last year, and then see if you can masturbate a physics engine out.Ray detection in the previous write Ray tracking when there are some written, but at that time is relatively simple to write, just recently work on the use of these, so good to write.Write Ray Sphere's collision detection today.Environment:Unity5.2

PHP detects if URL exists method, PHP detection URL exists The example in this article describes the method by which PHP detects whether a URL exists. Share to everyone for your reference. Specific as follows: Copy the Code code as follows: function url_exists ($url) {$hdrs = @get_headers ($url);Return Is_array ($hdrs)? Preg_match ('/^http\\/\\d+\\.\\d+\\s+2\\d\\d\\s+.*$/', $hdrs [0]): false;} I hope this article is helpful to everyone's PHP prog

Chinese: Libo Hardware DetectionApplication Support/Official Website: http://www.weibo.com/souappEmail: souapp@163.comOfficial application download link:Http://www.souapp.com/site_media/SOUAPP_DeviceManager.apk Application description: Lipo hardware detection is an essential tool for gamers to quickly detect mobile phone hardware information. It is particularly recommended to high-end people in app development and app testing, which is very helpfu

How to use the "disk detection function" of Ghost to use the "disk detection function" of GhostBecause I have stored a large amount of data on the e-disk on my computer, the space is too short, and there is a lot of space left on disk C and disk D. Why don't I divide it into parts for the e-disk? Therefore, I used the lossless partition software PartitionMagic (PQ) in Windows to distribute the 1 GB disk and

2012-07-31 13:25 Corner Point Feature detection and matching is an important part of the computer Vision application, which needs to find the characteristics of the image to establish the corresponding relationship. Point, which is the special position in the image, is a very common feature, the local feature of the point can also be called "key feature Point" (KeyPoint feature), or "point of interest" (interestpoint), or "Corner" ( Conrner). The s

MHA masterha_check_repl detection process, gocheck paper detection Whether the MHA deployment and configuration are OK. We can use the masterha_check_ssh and masterha_check_repl scripts provided by MHA to check whether the MHA deployment and configuration are OK. Masterha_check_repl detection is an important step to ensure successful MHA switching. This article m

Directory Joint probability distribution Normal Anomaly Detection Model Training Model evaluation In real life there are many situations that need to be prevented in advance, for example, before the plane takes off, the aircraft parts are evaluated to see whether the engine and other parts are of normal performance, if there are potential problems (abnormal conditions may occur), it needs to be repaired or replaced in time.So

Detailed description of SQL Deadlock Detection Methods, detailed description of SQL lock Detection The deadlock in SQL server refers to the state in which processes are permanently blocked. The following describes how to detect SQL server deadlocks. A deadlock is a state in which processes are permanently blocked. SQL can detect a deadlock and terminate a transaction to intervene in the SQL server deadlock

color area can be implemented using the following rules: Reference Papers of the above algorithms: Adaptive Skin Color modeling using the skin locus.pdf A novel method for detecting lips, eyes and faces in real time Articles related to Baidu Library: A Rapid face detection algorithm based on the mixed skin color model In the preceding formula, lowercase R, G, and B (not involved) are the normalized data for R/G/B (byte data, 0-255), namely: As show

Js detection method to determine the number of days after the date, js detection to determine the date This article describes how to determine the number of days of a js detection date. Share it with you for your reference. The specific analysis is as follows: This example shows how to use js to compare the local time (the time on the visitor's computer, or the

a string to find the first occurrence of only one character, the string is ABCDABCDEFG, need to find E, using subscript statistics can be a good solution to this problem, for this problem, you have to open up the corresponding 256 space. If there is a particularly large number (1000000) in the number that needs to be looked up, you have to open 1 million spaces, which can cause a lot of wasted space.In addition to the remainder method:Due to the defect of the "direct addressing method", the fol

Objective Image feature extraction is a concept in computer vision and image processing. It refers to the use of computer to extract image information, determine whether the point of each image belongs to an image feature. This paper mainly discusses how to extract the feature of "Corner point" in image and its related contents. The contents of such as histogram, edge, area and so on are mentioned in the previous article, please check related articles. OpenCv (EMGUCV) realizes a variety of corn

) that the cube collides with in the current script, we can collision the Collider Component Object (collider) of the colliding game object by the parameters of these three methods. The collider object can then be used to get information about the game object mounted by the collider component.1 // Collision Start 2 void Oncollisionenter (Collision collision) {3 var name = collision.collider.name; 4 5 Debug.Log ("" + name); 6 }In this way, you can get the name of the g

More reliable screen detection methods and reliable screen Detection Methods Not long ago, I made an H5 project and needed some processing when the screen was changed. There is no doubt that you need to useOrientationchangeTo listen for landscape changes. Solution 1: // Listen to orientation changeswindow. addEventListener ("orientationchange", function (event) {// according to the event. orientation | scre

1 Background:The x86 platform has comprehensive user-mode memory detection tools such as valgrind. It can monitor detailed memory information during the running of the program to precisely locate memory problems. However, with the rapid emergence of new platforms, such as the TilePro64 CPU of Tilera, these tools cannot be transplanted in a timely manner. As a result, the new platform lacks the appropriate means to locate memory errors, such as memory

HT for Web visual QuadTree quad-Tree Collision Detection and quadtree Collision Detection A QuadTree tree is a tree-like data structure. Each node has four child nodes, which can recursively split two-dimensional planes into subareas. QuadTree is often used for spatial database indexing, 3D visible area cropping of vertebral bodies, and even image analysis. Today we are introducing the collision

JS implements collision detection method analysis, and js implements Collision Detection This article describes how to implement Collision Detection in JavaScript. We will share this with you for your reference. The details are as follows: A simple Collision Detection example is used to check whether div1 is in conflic

This article basically borrows from the big guy article: http://www.cnblogs.com/makemelaugh/archive/2012/09/26/2704802.htmlOn this basis to add some of their own additions to facilitate access.A jar package that needs to be downloaded in advance:Google Code's Language-detection:https://code.google.com/archive/p/language-detection/downloadsLanguage-detection on GitHub (this is a corpus of national languages)

Read a period of time goal detection of the paper, here to write a summary of the article. Do not necessarily understand correctly, if there are problems, please correct me. 1, RCNN RCNN is based on selective search (SS) Searching region proposal (RP), and then on each RP CNN inference, this algorithm is more direct.The framework should also be easy to see and understand.SS extracts approximately 2K of RP for each picture, and then infers the RP. 2, S

Grid loss:detecting occluded FacesECCV2016 The problem of occlusion is to be solved by area chunking. For the occlusion of face detection, it is more difficult to solve this problem from the angle of training data. We solve this problem from the point of view of defining a new loss function. By defining a novel loss layer to block the loss of face counting error, another highlight of this article is real time Our entire network structure diagram 3 Gr