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If you want the code of c++ Bank Management System then react in this message. If 30 reactions are received then I will upload it tomorrow morning Thanks for Joining All ❤️

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Source Code #impress your crush using python # importing the turtle module import turtle # Creating an wr object of turtle wr = turtle.Turtle() # Setting Color wr.fillcolor('red') # Filling the color wr.begin_fill() # Start Drawing the Heart wr.left(140) wr.forward(113) # Drawing the carve of heart for i in range(200): wr.right(1) wr.forward(1) wr.left(120) # Drawing the carve of heart for i in range(200): wr.right(1) wr.forward(1) wr.forward(112) # Ending the filling color wr.end_fill() wr.ht()

To-Do List App Using C++ 🧠👇 Source Code 👇👇👇👇 #include <iostream> #include <fstream> #include <vector> #include <string> void showTasks(const std::vector<std::string> &tasks) { std::cout << "To-Do List:" << std::endl; for (int i = 0; i < tasks.size(); ++i){ std::cout << i + 1 << ". " <<tasks[i]<<std::endl; } } int main(){ std::vector<std::string> tasks; std::string task; char choice; // Load existing tasks from file std::ifstream inputFile("tasks.txt"); while (getline(inputFile, task)) { tasks.push_back(task); } inputFile.close(); do{ std::cout << "A - Add a task" << std::endl; std::cout << "V - View tasks" << std::endl; std::cout << "Q - Quit" << std::endl; std::cout << "Enter your choice: "; std::cin >> choice; switch (choice){ case 'A': case 'a': std::cout << "Enter a task: "; std::cin.ignore(); // Clears the input buffer getline(std::cin, task); tasks.push_back(task); break; case 'V': case 'v': showTasks(tasks); break; } } while (choice != 'Q' && choice != 'q'); // Save tasks to file std::ofstream outputFile("tasks.txt"); for (const auto &t : tasks){ outputFile << t << std::endl; } outputFile.close(); return 0; } Code Explanation: 👇 Let’s follow the same drill and break down the main parts of this C++ project to understand what’s happening: The program starts by including the necessary headers for file and string handling and the vector container. The showTasks function is used to display the current tasks. The main function reads existing tasks from a file, tasks.txt, into a vector. The user is prompted to add a task or view the current tasks. New tasks entered by the user are added to the vector. When the user quits, tasks are written back to tasks.txt, saving them for future sessions. When you run this program, you’ll see a simple user interface that allows you to add tasks to your to-do list or view the current list. We’ve also included an option to quit the program, which results in your tasks being saved to a text file. Overall, this C++ project is great for getting to grips with basic file operations, dynamic data handling using vectors, and simple program flow control in C++. How would you alter this C++ program? Maybe you can add some more fields, like dates and times for to-dos? Perhaps you could even investigate a search function that uses keywords? Get creative, as that’s the best way to flex your C++ programming muscles while also cementing these new skills.

Track objects with Camshift using OpenCV OpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By using it, one can process images and videos to identify objects, faces, or even the handwriting of a human. Camshift or we can say Continuously Adaptive Meanshift is an enhanced version of the meanshift algorithm which provides more accuracy and robustness to the model. With the help of Camshift algorithm, the size of the window keeps updating when the tracking window tries to converge. The tracking is done by using the color information of the object. Also, it provides the best fitting tracking window for object tracking. It applies meanshift first and then updates the f the window as: S= 2 x √m00/256 Source Code 👇import numpy as np import cv2 as cv # Read the input video cap = cv.VideoCapture('sample.mp4') # take first frame of the # video ret, frame = cap.read() # setup initial region of # tracker x, y, width, height = 400, 440, 150, 150 track_window = (x, y, width, height) # set up the Region of # Interest for tracking roi = frame[y:y + height, x : x + width] # convert ROI from BGR to # HSV format hsv_roi = cv.cvtColor(roi, cv.COLOR_BGR2HSV) # perform masking operation mask = cv.inRange(hsv_roi, np.array((0., 60., 32.)), np.array((180., 255., 255))) roi_hist = cv.calcHist([hsv_roi], [0], mask, [180], [0, 180]) cv.normalize(roi_hist, roi_hist, 0, 255, cv.NORM_MINMAX) # Setup the termination criteria, # either 15 iteration or move by # atleast 2 pt term_crit = ( cv.TERM_CRITERIA_EPS | cv.TERM_CRITERIA_COUNT, 15, 2) while(1): ret, frame = cap.read() # Resize the video frames. frame = cv.resize(frame, (720, 720), fx = 0, fy = 0, interpolation = cv.INTER_CUBIC) cv.imshow('Original', frame) # perform thresholding on # the video frames ret1, frame1 = cv.threshold(frame, 180, 155, cv.THRESH_TOZERO_INV) # convert from BGR to HSV # format. hsv = cv.cvtColor(frame1, cv.COLOR_BGR2HSV) dst = cv.calcBackProject([hsv], [0], roi_hist, [0, 180], 1) # apply Camshift to get the # new location ret2, track_window = cv.CamShift(dst, track_window, term_crit) # Draw it on image pts = cv.boxPoints(ret2) # convert from floating # to integer pts = np.int0(pts) # Draw Tracking window on the # video frame. Result = cv.polylines(frame, [pts], True, (0, 255, 255), 2) cv.imshow('Camshift', Result) # set ESC key as the # exit button. k = cv.waitKey(30) & 0xff if k == 27: break # Release the cap object cap.release() # close all opened windows cv.destroyAllWindows()

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hi everyone, If you want the code of object tracker built from Python's 🐍 OpenCv, then react to this message. If 20 responses are received, I will upload it tomorrow ❤️

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How to check typing speed using python 👇👇👇 import time string = "Python is an interpreted, high-level programming language" word_count = len(string.split()) border = '-+-'*10 def createbox(): print(border) print() print('Enter the phrase as fast as possible and with accuracy') print() while 1: t0 = time.time() createbox() print(string,'\n' inputText = str(input()) t1 = time.time( lengthOfInput = len(inputText.split()) accuracy = len(set(inputText.split()) & set(string.split())) accuracy = (accuracy/word_count) timeTaken = (t1 - t0) wordsperminute = (lengthOfInput/timeTaken)*60 #Showing results now print('Total words \t :' ,lengthOfInput) print('Time used \t :',round(timeTaken,2),'seconds') print('Your accuracy \t :',round(accuracy,3)*100,'%') print('Speed is \t :' , round(wordsperminute,2),'words per minute') print("Do you want to retry",end='') if input(): continue else: print('Thank you , bye bye .') time.sleep(1.5) break

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