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if __name__ == '__main__':"""    opt模型主要参数解析：    --weights：初始化的权重文件的路径地址    --cfg：模型yaml文件的路径地址   &nbs

# %%import cv2 as cv import numpy as npimport imutilsimport osfrom PIL import Image# %%face_cascade = cv.CascadeClassifier('haarcascade_frontalface_default.xml')VIDEO_PATH = 'video/hero2.m

import numpy as npfrom layers import FCLayerfrom dataloader import build_dataloaderfrom network import Networkfrom optimizer import SGDfrom loss import SoftmaxCrossEntropyLossfrom visualize import plo

#!/usr/bin/env python# -*- coding: utf-8 -*-import rospyimport cv2import numpy as npfrom sensor_msgs.msg import Image, RegionOfInterestfrom cv_bridge import CvBridge, CvBridgeErrorclass faceDetector:&

from asyncio import CancelledErrorimport cv2from cv2 import erodefrom cv2 import dilateimport numpy as np# 滤除的最小矩形的范围min_w = 90min_h = 90# 定义检测线的高度，与视频大小有关，视频左上角为（0，0）line_high = 550# 线的偏移量offset = 7#

import tensorflow as tfimport tensorflow_hub as hubimport cv2from matplotlib import pyplot as pltimport numpy as npdef movenet(input_image):    """Runs detection on

# -*- coding:utf-8 -*-import requestsimport bs4def get_web(url):    header = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, lik

const spans=document.querySelectorAll('.change')const video=document.querySelector('.video')const search=document.querySelector('.fa-search')const su=document.querySelector(&#3

tflib.init_tf()URL_FFHQ = "./karras2019stylegan-ffhq-1024x1024.pkl"with dnnlib.util.open_url(URL_FFHQ, cache_dir=config.cache_dir) as f:    generator_network, discriminat

# 定义决策树类class DecisionTree(object):    def __init__(self, classes, features,                 ma

python学习交流Q群：906715085###from __future__ import print_functionfrom PIL import Imagefrom PIL import ImageFontfrom PIL import ImageDrawimport osimport shutilimport time# %% 要生成的文本label_dict = {0: '0

package com.example.test2;import androidx.appcompat.app.AppCompatActivity;import android.os.Bundle;import android.text.method.HideReturnsTransformationMethod;import android.text.method.PasswordTransfo

# -*- coding: utf-8-*-import uiautomation as autoimport timeimport subprocess# subprocess.Popen('C:\Program Files\Google\Chrome\Application\chrome.exe')time.sleep(2)start_time = time.time()pri

import sysimport cv2import mathimport timeimport threadingimport numpy as npimport HiwonderSDK.yaml_handle as yaml_handleif sys.version_info.major == 2:    print('Please run th

__author__ = 'marble_xu'import osimport jsonfrom abc import abstractmethodimport pygame as pgfrom . import constants as cclass State():    def __init__(self):  &n

import warnings# 忽视警告warnings.filterwarnings('ignore')import osimport matplotlibimport cv2 as cvimport numpy as npimport matplotlib.pyplot as pltfrom tensorflow.keras.callbacks import ModelChe

import java.awt.BorderLayout;import java.awt.Color;import java.awt.Font;import java.awt.GraphicsEnvironment;import java.awt.event.ActionEvent;import java.awt.event.ActionListener;import javax.swing.JB

# 这里是导入依赖，需要这些库import mathimport sysimport timeimport torchimport win32apiimport win32conimport win32guifrom PyQt5.QtWidgets import QApplicationfrom pynput.mouse import Controllerimport mouse#这里这俩clas

import requestsfrom bs4 import BeautifulSoupfrom pandas import DataFrame'''    最后成功提取了    '电影排名','电影名','上映时间','导演',&

from sklearn.decomposition import PCAimport numpy as npfrom sklearn.svm import SVCimport matplotlib.pyplot as pltfrom sklearn.model_selection import train_test_splitfrom sklearn.decomposition import P