[Detailed C++] In-depth understanding of classes and objects (six default member functions)

Reminder This article has a total of 6736 words, and it takes about 20 minutes to read it. written in front This article is the second in the explanation of C++ classes and objects. By the time of this article, we have really started to get to the really difficult place for classes and objects. This article focuses on the explanation of the ...

Posted by Xster on Sun, 22 Jan 2023 06:58:01 +0300

Raspberry Pi boot self-starting opencv program script and error analysis and expansion

1. Make a test script First we need to make a script to test if autostart works. pi@raspberry:~ $ nano /home/pi/start.sh The content of start.sh is as follows: /usr/bin/python3 /home/pi/GeometryOperations.py Be sure to pay attention to the use of absolute paths here, otherwise there is a probability that loading will fail. Then add t ...

Posted by stunna671 on Sun, 22 Jan 2023 03:58:53 +0300

3 hours proficient in common operations of opencv images

3 hours proficient in common operations of opencv(2) pictures Reference video resources: 3 hours proficient in Opencv-Python Grayscale image img = cv2.imread('Resources/lena.png') imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) cv2.imshow('gray', imgGray) cv2.waitKey(0) The default image channel in opencv is BGR, so it is COLOR ...

Posted by wakmp on Sun, 22 Jan 2023 02:31:27 +0300

Python Data Structure and Algorithm Analysis Exercises__chapter5

1. Topics for discussion slightly. 2. Programming exercises 1. Conduct a random experiment to test the difference between the sequential search algorithm and the binary search algorithm when processing lists of integers. The binary search algorithm can only search ordered lists, and the sequential search algorithm can search both unorde ...

Posted by trawets on Fri, 20 Jan 2023 16:01:06 +0300

pytorch study notes - tensorboard use

The use of tensorboard (1) The use of the .add_scalar() method in the SummaryWriter class (you can hold down Ctrl and click add_scalar to view the function of this method). First install tensorboard with pip, and execute the following command to draw an image with y=2x. from torch.utils.tensorboard import SummaryWriter writer = SummaryWri ...

Posted by pvraja on Fri, 20 Jan 2023 10:18:36 +0300

Implementation of the Fruit Fly Optimization Algorithm (FOA) (Python with source code)

1. Implementation idea of ​​fruit fly optimization algorithm Fruit Fly Optimization Algorithm (FOA) is a swarm intelligence optimization algorithm proposed by Pan Wenchao in 2011. It simulates the way fruit flies in nature forage, and compares the position information of food to the optimal solution of optimization problems. The optimal soluti ...

Posted by krysco on Fri, 20 Jan 2023 04:38:33 +0300

[Application] SpringBoot -- Webflux + R2DBC to operate MySQL

Webflux overview Simply put, Webflux is a framework for responsive programming, and its equivalent concept is SpringMVC. The difference between the two is that the Webflux framework is asynchronous and non-blocking, which can handle high concurrent requests with fewer threads. The bottom layer of the Webflux framework adopts the Reactor r ...

Posted by NIGHTSBIRD on Thu, 19 Jan 2023 17:01:44 +0300

mysql common syntax functions

1. Generate random time SELECT DATE_ADD('2021-01-01 00:00:00', INTERVAL FLOOR(1 + (RAND() * 10800)) SECOND ) Generate random numbers SELECT UUID() 2. group by optimization loose index Part of the scanned index needs to satisfy the left matching rule of the joint index. compact index Range index scan or full scan. There is a gap in ...

Posted by jmfillman on Thu, 19 Jan 2023 08:31:38 +0300

Commonly used CSS knowledge points in front-end work

css import method inline style <divstyle="width: 100px"></div> inline mode <divclass="header"></div> .header {width: 100px;} outreach mode <linkrel="stylesheet"href="./base.css"> Imported // inside the less/scss file @import url("./base.css"); 1.1 Text overflow ellipsis ...

Posted by parag on Thu, 19 Jan 2023 00:32:28 +0300

TwoModalBERT for role classification

Have you ever encountered a situation where you have multiple textual features in your dataset? For example, to correctly classify a message based on its context, i.e. understand the preceding message. Say we have the following dataset and need to classify it.When considering only the message, you can see that its sentiment is positive because ...

Posted by fernyburn on Wed, 18 Jan 2023 12:47:46 +0300