随笔分类 - Anaconda
摘要：python time测试 import time def timer(seconds): start_time = time.time() while True: elapsed_time = time.time() - start_time if elapsed_time >= seconds:
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摘要：python opencv inRange import cv2 import numpy as np # Load the image img = cv2.imread('20220320151016_144_c.jpg') hsv = cv2.cvtColor(img,cv2.COLOR_BGR
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摘要：python opencv line import cv2 # Load an image img = cv2.imread("image1.jpg") # Draw a red line from (0, 0) to (100, 100) with a thickness of 5 pixels
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摘要：python datetime日期格式化 from datetime import datetime currentDateTime = datetime.now() print(currentDateTime.strftime("%Y-%m-%d %H:%M:%S")) #############
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摘要：QHBoxLayout清空子控件 layout = QHBoxLayout() widget1 = QLabel("Widget 1") widget2 = QLabel("Widget 2") widget3 = QLabel("Widget 3") layout.addWidget(widget
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摘要：python判断是否是零时 from datetime import datetime now = datetime.now() if now.hour == 0 and now.minute == 0 and now.second == 0: print("It's midnight!") ###
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摘要：QLabel 显示opencv Mat import cv2 from PyQt5.QtGui import QImage, QPixmap from PyQt5.QtWidgets import QLabel label = QLabel() # Load the image using Open
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摘要：QDateTime计算时间差 from PyQt5.QtCore import QDateTime # Create two QDateTime objects dt1 = QDateTime.currentDateTime() dt2 = QDateTime(2022, 1, 1, 0, 0) #
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摘要：python pygame播放音频文件 pip install pygame import pygame # Initialize pygame pygame.init() # Load the MP3 file pygame.mixer.music.load("1.mp3") # Play the
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摘要：pyqt播放音频 from PyQt5.QtCore import QUrl from PyQt5.QtMultimedia import QMediaPlayer from PyQt5.QtWidgets import QApplication import sys app = QApplicat
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摘要：python opencv line import cv2 # Load the image img = cv2.imread('path/to/image.jpg') # Draw a red line from (0, 0) to (100, 100) with a thickness of 5
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摘要：pyqt时间格式化 from PyQt5.QtCore import QDateTime currentDateTime = QDateTime.currentDateTime() print(currentDateTime.toString("yyyy-MM-dd hh:mm:ss")) ####
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摘要：python opencv canny import cv2 # Load the image img = cv2.imread('path/to/image.jpg') # Convert the image to grayscale gray = cv2.cvtColor(img, cv2.CO
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摘要：OpenCV提供了多种方法来提取图像中的区域。其中，最常用的方法是使用cv2.rectangle函数绘制矩形框，然后使用切片操作提取矩形框内的像素。 import cv2 # 读取图片 img = cv2.imread('path/to/image') # 绘制矩形框 x, y, w, h = 10
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摘要：python绘制wav音频文件波形图 #-*- coding: utf-8 -*- import wave import pylab as pl import numpy as np print('working') #打开wav文档 file = wave.open(r"02.wav", "rb"
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摘要：pip install gtts (wind_2021) J:\test>pip install gtts Collecting gtts Downloading gTTS-2.3.1-py3-none-any.whl (28 kB) Collecting requests<3,>=2.27 Usi
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摘要：OpenCV提供了两种计算图像相似度的方法：结构相似性（SSIM）和均方误差（MSE）。其中，SSIM是一种更加准确的方法，它不仅考虑了像素之间的差异，还考虑了人眼对图像的感知。而MSE则只是简单地计算像素之间的差异。 import cv2 # 读取图片 img1 = cv2.imread('pat
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摘要：python清空cmd命令行 import os os.system('cls') ###################
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摘要：def convert(size, box): dw = 1. / (size[0]) dh = 1. / (size[1]) x = (box[0] + box[1]) / 2.0 - 1 y = (box[2] + box[3]) / 2.0 - 1 w = box[1] - box[0] h
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摘要：# for inference class LoadImages: def __init__(self, path, img_size=640): p = str(Path(path)) # os-agnostic p = os.path.abspath(p) # absolute path if
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