import osimport timelibs = {"lxml","requests","pandas","numpy","you-get","opencv-python","pandas","fake_useragent","matplotlib","moviepy"}try:    for lib in libs:        os.system(f"pip3 install -i https://pypi.doubanio.com/simple/ {lib}")        print(lib+"下載成功")except:    print("下載失敗")

import osimport reimport cv2import jiebaimport requestsimport moviepyimport pandas as pdimport numpy as npfrom PIL import Imagefrom lxml import etreefrom wordcloud import WordCloudimport matplotlib.pyplot as pltfrom fake_useragent import UserAgent

# -*- coding:utf-8 -*-# @Author : 北山啦# @Time : 2021/1/29 14:08# @File : 視頻分割.py# @Software : PyCharmimport cv2cap = cv2.VideoCapture(r"無價之姐~讓我乘風(fēng)破浪~~~.flv")while 1:    # 逐幀讀取視頻  按順序保存到本地文件夾    ret,frame = cap.read()    if ret:        cv2.imwrite(f".\pictures\img_{num}.jpg",frame)       else:        breakcap.release()   # 釋放資源

# -*- coding:utf-8 -*-# @Author : 北山啦# @Time : 2021/1/29 14:38# @File : 人像分割.py# @Software : PyCharm"""原文鏈接："""import cv2import base64import numpy as npimport osfrom aip import AipBodyAnalysisimport timeimport random
APP_ID = '******'API_KEY = '*******************'SECRET_KEY = '********************'
client = AipBodyAnalysis(APP_ID, API_KEY, SECRET_KEY)# 保存圖像分割后的路徑path = './mask_img/'
# os.listdir  列出保存到圖片名稱img_files = os.listdir('./pictures')print(img_files)for num in range(1, len(img_files) + 1):    # 按順序構(gòu)造出圖片路徑    img = f'./pictures/img_{num}.jpg'    img1 = cv2.imread(img)    height, width, _ = img1.shape    # print(height, width)    # 二進制方式讀取圖片    with open(img, 'rb') as fp:        img_info = fp.read()
    # 設(shè)置只返回前景   也就是分割出來的人像    seg_res = client.bodySeg(img_info)    labelmap = base64.b64decode(seg_res['labelmap'])    nparr = np.frombuffer(labelmap, np.uint8)    labelimg = cv2.imdecode(nparr, 1)    labelimg = cv2.resize(labelimg, (width, height), interpolation=cv2.INTER_NEAREST)    new_img = np.where(labelimg == 1, 255, labelimg)    mask_name = path + 'mask_{}.png'.format(num)    # 保存分割出來的人像    cv2.imwrite(mask_name, new_img)    print(f'======== 第{num}張圖像分割完成 ========')

import pandas as pda = pd.date_range("2020-08-08","2020-09-08")print(a) DatetimeIndex(['2020-08-08', '2020-08-09', '2020-08-10', '2020-08-11',               '2020-08-12', '2020-08-13', '2020-08-14', '2020-08-15',               '2020-08-50', '2020-08-17', '2020-08-18', '2020-08-19',               '2020-08-20', '2020-08-21', '2020-08-22', '2020-08-23',               '2020-08-24', '2020-08-25', '2020-08-26', '2020-08-27',               '2020-08-28', '2020-08-29', '2020-08-30', '2020-08-31',               '2020-09-01', '2020-09-02', '2020-09-03', '2020-09-04',               '2020-09-05', '2020-09-06', '2020-09-07', '2020-09-08'],              dtype='datetime64[ns]', freq='D')

# -*- coding:utf-8 -*-# @Author : 北山啦# @Time : 2021/1/29 19:33# @File : 彈幕爬取.py# @Software : PyCharm
import requestsimport pandas as pdimport reimport csvfrom fake_useragent import UserAgentfrom concurrent.futures import ThreadPoolExecutorimport datetime
ua = UserAgent()start_time = datetime.datetime.now()
def  Grab_barrage(date):    headers = {        "origin": "https://www.bilibili.com",        "referer": "https://www.bilibili.com/video/BV1jZ4y1K78N?from=search&seid=1084505810439035065",        "cookie": "",        "user-agent": ua.random(),    }    params = {        'type': 1,        'oid' : "222413092",        'date': date    }    r= requests.get(url, params=params, headers=headers)    r.encoding = 'utf-8'    comment = re.findall('<d p=".*?">(.*?)</d>', r.text)    for i in comments:      df.append(i)    a = pd.DataFrame(df)    a.to_excel("danmu.xlsx")def main():    with ThreadPoolExecutor(max_workers=4) as executor:        executor.map(Grab_barrage, date_list)    """計算所需時間"""    delta = (datetime.datetime.now() - start_time).total_seconds()    print(f'用時：{delta}s')if __name__ == '__main__':    # 目標(biāo)url    url = "https://api.bilibili.com/x/v2/dm/history"    start,end = '20200808','20200908'    date_list = [x for x in pd.date_range(start, end).strftime('%Y-%m-%d')]    count = 0    main()

def func(s):    for i in range(1,int(len(s)/2)+1):        for j in range(len(s)):            if s[j:j+i] == s[j+i:j+2*i]:                k = j + i                while s[k:k+i] == s[k+i:k+2*i] and k<len(s):                       k = k + i                s = s[:j] + s[k:]        return sdata["短評"] = data["短評"].apply(func)

import pandas as pdfrom wordcloud import WordCloudimport jiebafrom tkinter import _flattenimport matplotlib.pyplot as plt
jieba.load_userdict("./詞云圖//add.txt")with open('./詞云圖//stoplist.txt', 'r', encoding='utf-8') as f:    stopWords = f.read()

# -*- coding:utf-8 -*-# @Author : 北山啦# @Time : 2021/1/29 19:10# @File : 跳舞詞云圖生成.py# @Software : PyCharm
from wordcloud import WordCloudimport collectionsimport jiebaimport refrom PIL import Imageimport matplotlib.pyplot as pltimport numpy as npwith open('barrages.txt') as f:    data = f.read()jieba.load_userdict("./詞云圖//add.txt")
# 讀取數(shù)據(jù)with open('barrages.txt') as f:    data = f.read()jieba.load_userdict("./詞云圖//add.txt")# 文本預(yù)處理  去除一些無用的字符   只提取出中文出來new_data = re.findall('[\u4e00-\u9fa5]+', data, re.S)new_data = "/".join(new_data)
# 文本分詞seg_list_exact = jieba.cut(new_data, cut_all=True)
result_list = []with open('./詞云圖/stoplist.txt', encoding='utf-8') as f:    con = f.read().split('\n')    stop_words = set()    for i in con:        stop_words.add(i)
for word in seg_list_exact:    # 設(shè)置停用詞并去除單個詞    if word not in stop_words and len(word) > 1:        result_list.append(word)
# 篩選后統(tǒng)計詞頻word_counts = collections.Counter(result_list)path = './wordcloud/'

img_files = os.listdir('./mask_img')print(img_files)for num in range(1, len(img_files) + 1):    img = fr'.\mask_img\mask_{num}.png'    # 獲取蒙版圖片    mask_ = 255 - np.array(Image.open(img))    # 繪制詞云    plt.figure(figsize=(8, 5), dpi=200)    my_cloud = WordCloud(        background_color='black',  # 設(shè)置背景顏色  默認是black        mask=mask_,      # 自定義蒙版        mode='RGBA',        max_words=500,        font_path='simhei.ttf',   # 設(shè)置字體  顯示中文    ).generate_from_frequencies(word_counts)
    # 顯示生成的詞云圖片    plt.imshow(my_cloud)    # 顯示設(shè)置詞云圖中無坐標(biāo)軸    plt.axis('off')    word_cloud_name = path + 'wordcloud_{}.png'.format(num)    my_cloud.to_file(word_cloud_name)    # 保存詞云圖片    print(f'======== 第{num}張詞云圖生成 ========')

# -*- coding:utf-8 -*-# @Author : 北山啦# @Time : 2021/1/29 19:10# @File : 跳舞詞云圖生成.py# @Software : PyCharm

import cv2import os
# 輸出視頻的保存路徑video_dir = 'result.mp4'# 幀率fps = 30# 圖片尺寸img_size = (1920, 1080)
fourcc = cv2.VideoWriter_fourcc('M', 'P', '4', 'V')  # opencv3.0 mp4會有警告但可以播放videoWriter = cv2.VideoWriter(video_dir, fourcc, fps, img_size)img_files = os.listdir('.//wordcloud')
for i in range(88, 888):    img_path = './/wordcloud//wordcloud_{}.png'.format(i)    frame = cv2.imread(img_path)    frame = cv2.resize(frame, img_size)   # 生成視頻   圖片尺寸和設(shè)定尺寸相同    videoWriter.write(frame)      # 寫進視頻里    print(f'======== 按照視頻順序第{i}張圖片合進視頻 ========')
videoWriter.release()   # 釋放資源

# -*- coding:utf-8 -*-# @Author : 北山啦# @Time : 2021/1/29 19:10# @File : 跳舞詞云圖生成.py# @Software : PyCharm
import moviepy.editor as mpy
# 讀取詞云視頻my_clip = mpy.VideoFileClip('result.mp4')# 截取背景音樂audio_background = mpy.AudioFileClip('song.mp3').subclip(0,25)audio_background.write_audiofile('song1.mp3')# 視頻中插入音頻final_clip = my_clip.set_audio(audio_background)# 保存為最終的視頻   動聽的音樂！漂亮小姐姐詞云跳舞視頻！final_clip.write_videofile('final_video.mp4')