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/** * 登录相关 */@RequestMapping("users")@RestControllerpublic class UserController{@Autowiredprivate UserService userService;@Autowiredprivate TokenService tokenService;/** * 登录&

from selenium import webdriverfrom selenium.webdriver.support.ui import WebDriverWaitfrom selenium.webdriver.support import expected_conditions as ECfrom selenium.webdriver.common.by import Byimport j

package com.cxyzxc.examples08;import java.sql.Connection;import java.sql.PreparedStatement;import java.sql.ResultSet;import java.sql.SQLException;import java.util.ArrayList;import java.util.List;publi

from collections import OrderedDictimport numpy as npimport argparseimport dlibimport cv2ap = argparse.ArgumentParser()ap.add_argument("-p", "--shape-predictor", required=True,help

import gensimfrom gensim import corporaimport matplotlib.pyplot as pltimport matplotlibimport numpy as npimport warningswarnings.filterwarnings('ignore')  # To ignore all warnings that ar

import turtlefrom random import randomfrom random import randintdef draw_petal(turtle_obj, flower):    # 绘制掉落的花瓣    for i in range(int(flower)):  &nbs

from PyQt5 import QtCore, QtGui, QtWidgetsimport cv2class Ui_MainWindow(QtWidgets.QMainWindow):    def __init__(self):        super(Ui_MainW

Python图形处理from selenium import webdriverimport datetimeimport timedef login():    # 打开淘宝登录页，并进行扫码登录    browser.get("https://www.jd.com")  &n

selectb.product_name "产品",count(a.order_id) "订单量",b.selling_price_max "销售价",b.gross_profit_rate_max/100 "毛利率",case when b.business_type =1 then '自营消化' w

# 检测人脸，获取68个关键点，获取特征描述符def faceRegister(faceId=1, userName='default', interval=3, faceCount=3, resize_w=700, resize_h=400):    '''    faceId

import numpy as npimport matplotlib.pyplot as pltfrom matplotlib.animation import FuncAnimationimport matplotlibmatplotlib.rcParams["font.sans-serif"] = ["SimHei"]matplotlib.rcPara

<!DOCTYPE html><html><head><meta charset="utf-8"><title>CSS3制作3D图片立方体旋转特效</title><link rel=外汇跟单gendan5.com"stylesheet" href="css/index.c

#f(x,y) = x^2 + y^2 + ximport numpy as npimport matplotlib.pyplot as pltfrom matplotlib import cmfrom mpl_toolkits.mplot3d import Axes3D#导入该函数是为了绘制3D图import matplotlib as mpl##########将数据绘图出来#生成X和Y的数据

#!/usr/bin/env python# coding: utf-8import requestsimport jsonimport argparse# 获取access_token用于鉴权def get_access_token(client_secret, client_id):    grant_type = "client_creden

# -*- coding: utf-8 -*-import osfrom fnmatch import fnmatchdef alter(file,old_str,new_str):    # """    # 将替换的字符串写到一个新的文件中，然后将原文件删除，新文件改为原来文件的名字&

class ChannelAttention(nn.Module):    def __init__(self, in_planes, ratio=16):        super(ChannelAttention, self).__init__()  &n

1：原理计算当出现1次眨眼或1次张嘴就判断为活人，记录下一帧的人脸图片，和要判定的人员图片进行比对，获取比对后的相似度，进行判断是否是同一个人，为了增加判断的速度，才用2帧进行一次活体检测判断。2：代码实现import face_recognitionfrom imutils import face_utilsimport numpy as npimport dlibimport cv2impor

#!/usr/bin/env python# coding: utf-8import requestsimport jsonimport argparse# 获取access_token用于鉴权def get_access_token(client_secret, client_id):    grant_type = "client_creden

#人像分割import osimport requestsimport base64import cv2import numpy as npfrom PIL import Imagefrom pathlib import Pathpath = os.getcwd()paths = list(Path(path).glob('*'))def get_access_token():&n

# 第一版#-*-coding:utf-8-*-import osimport reimport timeimport requestsimport bs4from bs4 import BeautifulSoup# 手动写入目标套图的首页地址download_url = "https://www.xgmn09.com/XiaoYu/XiaoYu23172.html"# 手动写