QA Official

eclipse Most Useful Shortcut Sorting

https://qaofficial.com/post/2019/05/10/71594-eclipse-most-useful-shortcut-sorting.html 2019-05-10
Search eclipse shortcut keys on the Internet, and you can find a lot of shortcut keys, most of which list more than N shortcut keys. It is estimated that most people will be big when they look at them. I am also big. However, I tried one by one, and sorted out the most commonly used and useful ones in eclipse. Some shortcut keys that must be used to write code are only about half of the total number of shortcut keys on the Internet, reducing everyone's memory.

myeclipse Installation of svn Plug-in and Its Localization Method

https://qaofficial.com/post/2019/05/10/71586-myeclipse-installation-of-svn-plug-in-and-its-localization-method.html 2019-05-10
MyEclipse6.5 Three Methods of Installing SVN Plug-ins 1. Installation Method: Method 1: If you can access the Internet, you can install it online. 1. Open Myeclipse and select Help → Software Updates → Find and Install in the menu bar; 2. Select Search for new features to install and click Next to proceed to the next step. 3. Click the "New Remote Site" button and enter in the pop-up dialog

opencv Face and Side Face Detection

https://qaofficial.com/post/2019/05/10/71730-opencv-face-and-side-face-detection.html 2019-05-10
algorithm reference three papers: The earliest Haar feature was proposed by Papageorgiou C. et al. ("A General Framework for Object Detection"), and later Paul Viola and Michal Jones proposed a method for fast calculation of Haar feature using integral image method ("Rapidobject detection using a boosted cascade of simple features》)。After that, Rainer Lienhart and Jochen

opencv Learning Notes (3)-Facetect

https://qaofficial.com/post/2019/05/10/71724-opencv-learning-notes-3-facetect.html 2019-05-10
opencv comes with a very powerful classifier, haarcascade_frontalface_alt for face classification.The path in the computer is:/opencv-2.4.9/data/haacades/haacade _ frontalface _ alt.xml. program we can call directly. The following procedure realizes a simple face detection function, and extracts the image of the face part at the same time to facilitate subsequent face recognition and other operations. #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/video/video.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/core/core.hpp> #include <iostream> #include <cstdio> using namespace std; using namespace cv; /** Function Headers */ void detectAndDisplay( Mat frame ); /** Global variables */ String face_cascade_name = "

opencv has its own detector to detect fddb database and evaluate

https://qaofficial.com/post/2019/05/10/71758-opencv-has-its-own-detector-to-detect-fddb-database-and-evaluate.html 2019-05-10
Problem Summary: 1. The design versions are different and there is a gap in the load classifier block CascadeClassifier facedetector; facedetector.load("D:\\opencv\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml") 2. Detecting Target detectMultiScale function facedetector.detectMultiScale(frame_gray, faces, rejectLevels, levelWeights, 1.1, 3, 0, Size(30, 30), Size(), true); faces is the number of detected target faces.size () views 1.1 searchScaleFactor 3,minNeighbors if you want to improve the accuracy of face detection, set it larger.

python Calls face++API and Saves Output Results (Expression Recognition API)

https://qaofficial.com/post/2019/05/10/71651-python-calls-face-api-and-saves-output-results-expression-recognition-api.html 2019-05-10
Pictures do not need to be called one by one. This code extracts the file name of the photos from the folder at one time, calls API for each photo in the folder and outputs the result. You can select the desired output, such as the percentile value of happiness, headpose, etc. Results are written directly into txt documents. First, you need to apply for an API on face++ website.

show engine innodb status

https://qaofficial.com/post/2019/05/10/71676-show-engine-innodb-status.html 2019-05-10
Many people let me elaborate on the output information of SHOW INNODB STATUS, understand what information SHOW INNODB STATUS outputs, and what information can we get from this information to improve MySQL performance. First of all, let's take a look at the basis of SHOW INNODB STATUS output, which prints a lot of counters, statistics, transaction information, etc. related to InnoDB's internal performance.In MySQL 5, the performance statistics of InnoDB are also shown in the SHOW STATUS results.

show engine innodb status interpretation

https://qaofficial.com/post/2019/05/10/71674-show-engine-innodb-status-interpretation.html 2019-05-10
Note: The following contents are based on the personal understanding of the innodb status section of "High Performance mysql 3rd Edition" and "mysql Inside innodb Storage Engine". If there is any error, please correct me!! The innodb storage engine displays in the output of show engine innodb status (the old version corresponds to show innodb status), except for a large amount of internal information, its output is a single string

vs2013 Configure dlib Library

https://qaofficial.com/post/2019/05/10/71626-vs2013-configure-dlib-library.html 2019-05-10
vs2013 Configure dlib Library Background:After several days, dlib library was finally loaded into vs2013 under Windows 7.Previously configured under ubuntu14.04 system, dlib with Python interface was used, but since the previous projects were all under windows, they had to come back.During the configuration period, wander in the csdn and leave a message under the articles related to the successful configuration of dlib library.Here, I thank you very much for your

win10 +keras +gpu

https://qaofficial.com/post/2019/05/10/71546-win10-keras-gpu.html 2019-05-10
I wrote a process of configuring keras in Central Processor some time ago, but these days I have changed to a new Shenzhou. I can't wait to play gpu version.Of course, the process is more complicated, and it took one day to complete the transfer in the dormitory.Let's talk about each version first. cuda -8.0.61 cudnn5.1 anconda4.2 python3.5 tensorflow Version (Important) Of course, the first two cloths are relatively simple