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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>BMI Calculator</title> | |
| <style> | |
| body { |
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| import cv2 | |
| import numpy as np | |
| def detect_boxes(image): | |
| # Convert image to HSV color space | |
| hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) | |
| # Define range for brown color in HSV | |
| lower_brown = np.array([10, 50, 50]) | |
| upper_brown = np.array([20, 255, 255]) |
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| // For reading input from the command line | |
| const readline = require('readline'); | |
| const rl = readline.createInterface({ | |
| input: process.stdin, | |
| output: process.stdout, | |
| terminal: false | |
| }); | |
| // Function to solve the problem | |
| function solve(input) { |
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| import time | |
| import requests | |
| import pandas as pd | |
| from tqdm import tqdm | |
| import chromedriver_binary | |
| from bs4 import BeautifulSoup | |
| from selenium import webdriver | |
| browser = webdriver.Chrome() |
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