botnet detection

"Furnace-Refining AI" machine learning 046-image edge detection method(Python libraries and version numbers used in this article: Python 3.6, Numpy 1.14, Scikit-learn 0.19, matplotlib 2.2)Image in the detection of various shapes in the field of computer vision is one of the most common technology, especially in the image of straight line detection, round

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 feature combined with SVM classifier has been widely used in image recognition, especially in pedestrian detection. It

Public Course address:Https://class.coursera.org/ml-003/class/index INSTRUCTOR:Andrew Ng 1. Problem motivation ( Problem generation ) Let's take a look at an example. If we want to inspect the aircraft engine, we know that the performance of the aircraft engine is related to many factors. Here I only choose two factors: Heat and vibration intensity, after obtaining a large amount of normal data, we can plot the relationship between the two factors in the two-dimensional coordinate system,

note that.2 Installation Numbench is easy to install. Click setup.exe to install the numega installation program. No special settings are required during installation. However, before installing numbench, make sure that visual C ++ has been installed on your machine, only in this way can numbench be successfully integrated into the visual C ++ development environment. Now, we will introduce how to use boundschecker, truecoverage, and truetime in three parts.3 boundschecker Boundschecker is a ru

Tongteng Network Shunt, also known as the core network collector, is an important basic equipment for the network monitoring front-end in the network security field. It is an essential equipment for the entire network security! It plays a key role in network security! Currently, the fixed network has been upgraded to 400 GB, supporting different links. The mobile Internet signaling collection traffic has been upgraded to a GB interface, supporting different carriers to separately distribute traf

I. Introduction In Java Web applications, especially website development, we sometimes need to add an intrusion detection program for applications to prevent malicious refreshing, prevent Unauthorized users from repeatedly sending data to Web applications. Of course, intrusion detection can be implemented in many ways, including software, hardware firewalls, and many intrusion

Yolo:you only look once:unified, real-time Object Detection The content of this paper is not many, the core idea is relatively simple, the following is equivalent to the translation of the paper. Yolo is a convolutional neural network that can predict multiple box positions and classes at once, enabling end-to-end detection and recognition of targets with the greatest advantage of being fast . In fact, the

(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-

Prepared by easyjf open-source team Daxia I. Introduction In Java Web applications, especially website development, we sometimes need to add an intrusion detection program for applications to prevent malicious refreshing, prevent Unauthorized users from repeatedly sending data to Web applications. Of course, intrusion detection can be implemented in many ways, including software, hardware firewalls, and man

structure of the intel® RealSense realsense device [1] and how the device obtains three-dimensional data from a realistic scenario. For this subject, the Intel RealSense official SDK extracts three-dimensional data from the user's face about 70 feature points. The three-dimensional data of these feature points is the basis of the posture Detection algorithm in this paper. After obtaining the three-dimensional data of the user's face over 70 points, t

viola-jones human eye detection algorithm +meanshift tracking algorithmThis time the code is the video of the human eye part of the detection and tracking, testing using MATLAB comes with the human eye Detection ToolboxHere are some things that the MATLAB website describes this algorithm:Http://cn.mathworks.com/help/vision/examples/face-

Image edge information is mainly concentrated in high frequency segment, usually said image sharpening or detection edge, the essence is high-frequency filtering. We know that differential operation is the rate of change of signal, and it has the function of strengthening high frequency component. In the airspace operation, the sharpening of the image is the calculation of the differential. Due to the discrete signal of the digital image, the differen

I. Introduction to the detection of moving targetsMoving object detection in video this piece of the present method is too much. The algorithm of moving target detection according to the relationship between target and camera can be divided into static background motion detection and motion

Image edge information is mainly concentrated in high frequency segment, usually said image sharpening or detection edge, the essence is high-frequency filtering. We know that differential operation is the rate of change of signal, and it has the function of strengthening high frequency component. In the airspace operation, the sharpening of the image is the calculation of the differential. Due to the discrete signal of the digital image, the differen

(1) speed/accuracy trade-offs for modern convolutional object detectors Its main consideration is three kinds of detectors (Faster RCNN,R-FCN,SSD) as the meta structure, three kinds of CNN Network (vgg,inception,resnet) as feature extractor, change other parameters such as image resolution, proposals quantity, etc. The tradeoff between accuracy rate and speed of target detection system is studied. (2) Yolo9000:better, Faster, stronger It is an upgrade

1.Objection localization Picture detection problems are divided into: 1. Picture Category: Whether it is a car (results only for a single object) 2. Classification and positioning: car, car location (results only for a single object) 3. Target detection: Detection of different objects and positioning (results may contain multiple objects) Classification and posi

At present, the relative traditional significance detection methods are mainly divided into two categories:A class of data-driven, task-independent, bottom-up detection methods (mainly based on biological principles), and one that is dominated by consciousness-dependent tasks (mainly based on machine learning).A method of image significance detection from top to