模块清晰化 控制精细化

 

 

 

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# 设置分句的标志符号；可以根据实际需要进行修改 # cutlist = "。！？".decode('utf-8')   cutlist = ['\n', '\t', '。', '；', '？', '.', ';', '?', '...', '、、、', '：']     # cutlist = [ '。', '；', '？', '.', ';', '?', '...', '、、、','：',':','，'] # cutlist = [ '。', '；', '？', '.', ';', '?', '...', '、、、',':','，','、']     # 检查某字符是否分句标志符号的函数；如果是，返回True，否则返回False def FindToken(cutlist, char):     if char in cutlist:         return True     else:         return False     # 进行分句的核心函数 def Cut(cutlist, lines):  # 参数1：引用分句标志符；参数2：被分句的文本，为一行中文字符     l = []  # 句子列表，用于存储单个分句成功后的整句内容，为函数的返回值     line = []  # 临时列表，用于存储捕获到分句标志符之前的每个字符，一旦发现分句符号后，就会将其内容全部赋给l，然后就会被清空       for i in lines:  # 对函数参数2中的每一字符逐个进行检查 （本函数中，如果将if和else对换一下位置，会更好懂）         if FindToken(cutlist, i):  # 如果当前字符是分句符号             line.append(i)  # 将此字符放入临时列表中             l.append(''.join(line))  # 并把当前临时列表的内容加入到句子列表中             line = []  # 将符号列表清空，以便下次分句使用         else:  # 如果当前字符不是分句符号，则将该字符直接放入临时列表中             line.append(i)     return l     r_s = [] # 以下为调用上述函数实现从文本文件中读取内容并进行分句。 # with open('mybaidu.parp.b.txt','r',encoding='utf-8') as fr : #     for lines in fr: #         l = Cut(list(cutlist), list(lines)) #         for line in l: #             if len(line.replace(' ', '')) == 0: #                 continue #             if line.strip() != "": #                 line=line.strip() #                 r_s.append(line) # #                 # li = line.strip().split() #                 # for sentence in li: #                 #     r_s.append(sentence) str_ = ''   # cutlist = [ '。', '；', '？', '.', ';', '?', '...', '、、、','：',':','，','\n']   with open('mybaidu.parp.b.txt', 'r', encoding='utf-8') as fr:     for lines in fr:         if len(lines.replace(' ', '')) == 0:             continue         # str_='{}{}'.format(str_,lines.replace('\n',''))         # if len(lines.replace(' ','').replace('\n',''))==0:         #     continue         str_ = '{}{}'.format(str_, lines)         # l = Cut(list(cutlist), list(lines))         # for line in l:         #     if line.strip() != "":         #         line=line.strip()   from aip import AipSpeech   bd_k_l = ['11059852', '5Kk01GtG2fjCwpzEkwdn0mjw', 'bp6Wyx377Elq7RsCQZzTBgGUFzLm8G2A'] APP_ID, API_KEY, SECRET_KEY = bd_k_l   mp3_dir = 'C:\\Users\\sas\\PycharmProjects\\produce_video\\result_liukeyun\\' client = AipSpeech(APP_ID, API_KEY, SECRET_KEY) # result = client.synthesis(str_, 'zh', 1, { #     'vol': 5, # }) uid = 'liukeyuanCAKE_whole_para' # 识别正确返回语音二进制 错误则返回dict 参照下面错误码 f_w = '{}{}{}{}{}'.format(mp3_dir, 'g3db', uid, 'g3uid', '.mp3')   # # if not isinstance(result, dict): #     # f_w = '{}{}{}{}'.format(mp3_dir, 'g3uid', uid, '.mp3') #     f_w = '{}{}{}{}{}'.format(mp3_dir, 'g3db', uid, 'g3uid', '.mp3') #     # ,'g3db',uid,'g3uid' #     #  with open('auido.b.mp3', 'wb') as f: #     with open(f_w, 'wb') as f: #         f.write(result)   sentence_l, sentence_l_chk = Cut(list(cutlist), list(str_)), [] for i in sentence_l:     chk_br = i.replace('\n', '')     #   del sentence_l[sentence_l.index(i)]     if len(chk_br) > 0:         sentence_l_chk.append(chk_br) sentence_l_chk=sentence_l sentence_l_chk = [i.replace('  ', '') for i in sentence_l_chk] import os, time, glob import cv2   os_sep = os.sep this_file_abspath = os.path.abspath(__file__) this_file_dirname, this_file_name = os.path.dirname(this_file_abspath), os.path.abspath(__file__).split(os_sep)[     -1]   f_img_d = '{}{}{}{}{}'.format(this_file_dirname, os_sep, 'mypng', os_sep, '*.jpg') imgs, img_size_d = glob.glob(f_img_d), {} for i in imgs:     img = cv2.imread(i)     w_h_s = '{},{}'.format(img.shape[1], img.shape[0])     if w_h_s not in img_size_d:         img_size_d[w_h_s] = 1     else:         img_size_d[w_h_s] += 1   mode_img_size_wh = [int(i) for i in                     sorted(img_size_d.items(), key=lambda mytuple: mytuple[1], reverse=True)[0][0].split(',')]   import os   os_sep = os.sep this_file_abspath = os.path.abspath(__file__) this_file_dirname, this_file_name = os.path.dirname(this_file_abspath), os.path.abspath(__file__).split(os_sep)[-1]   f_mp3 = '{}{}{}'.format(this_file_dirname, os_sep, 'auido.mp3') from playsound import playsound   import time import math   this_time = time.time()   f_mp3 = f_w # playsound(f_mp3)   # t_spend = time.time() - this_time # t_spend = 58.777058839797974 # 音频的秒数 # t_spend = 115.18474054336548 # t_spend = 420.18474054336548 # t_spend = 337.18474054336548 t_spend = 362.5 t_spend = 335.5 #937 t_spend = 577 t_spend = math.ceil(t_spend) import cv2 import glob   ''' python+opencv视频图像相互转换 - CSDN博客 https://blog.csdn.net/m0_37733057/article/details/79023693 链接：https://www.zhihu.com/question/49558804/answer/343058915   OpenCV: Drawing Functions in OpenCV https://docs.opencv.org/3.1.0/dc/da5/tutorial_py_drawing_functions.html   ''' # 每秒传输帧数(Frames Per Second) fps = 100  # 保存视频的FPS，可以适当调整 FPS是图像领域中的定义，是指画面每秒传输帧数，通俗来讲就是指动画或视频的画面数。FPS是测量用于保存、显示动态视频的信息数量。每秒钟帧数愈多，所显示的动作就会愈流畅。通常，要避免动作不流畅的最低是30。某些计算机视频格式，每秒只能提供15帧。   f_img_d = '{}{}{}{}{}'.format(this_file_dirname, os_sep, 'mypng', os_sep, '*.jpg') imgs = glob.glob(f_img_d)   """ 用图片总数均分音频时间 """ # f, l = 'mybaidu.parp.b.txt', [] # with open(f, 'r', encoding='utf-8') as fr: #     for i in fr: #         ii = i.replace('\n', '') #         l.append(ii) # char_loop_l = [] # for i in l: #     mystr, le = '', len(i) #     for ii in range(le): #         iii = i[ii] #         #    print('-----', iii) #         mystr = '{}{}'.format(mystr, iii) #         #    print(mystr) #         char_loop_l.append(iii) #   # # from fontTools.ttLib import TTFont # myfont = TTFont('simhei.ttf')     def resize_rescale_pilimg(img_f, w_h_tuple=(mode_img_size_wh[0], mode_img_size_wh[1]), mid_factor=1):     # print(img_f)     img_n, img_type = img_f.split('.')[-2], img_f.split('.')[-1]     # print(img_n)       img_n_resize_rescale_pilimg_dir = '{}{}{}'.format(os_sep.join(img_n.split(os_sep)[:-1]), 'resize_rescale_pilimg',                                                       os_sep, img_n.split(os_sep)[-1], os_sep)       img_n_resize_rescale_pilimg = '{}{}{}'.format(img_n_resize_rescale_pilimg_dir, img_n.split(os_sep)[-1], '.PNG')  #   print(img_n_resize_rescale_pilimg)       img_type = 'PNG'     # img_f_new = '{}{}{}{}'.format(img_n, int(time.time()), 'resize_rescale.', img_type)     img_f_new = img_n_resize_rescale_pilimg     mid_icon = Image.open(img_f)     mid_icon_w, mid_icon_h = w_h_tuple[0] * mid_factor, w_h_tuple[1] * mid_factor     mid_icon = mid_icon.resize((mid_icon_w, mid_icon_h), Image.ANTIALIAS)       mid_icon.save(img_n_resize_rescale_pilimg, img_type)     return img_f_new     def compute_video_playtime(f):     # Create a VideoCapture object and read from input file     # If the input is the camera, pass 0 instead of the video file name     cap = cv2.VideoCapture(f)       # Check if camera opened successfully     if (cap.isOpened() == False):         print("Error opening video stream or file")       # Read until video is completed     while (cap.isOpened()):         # Capture frame-by-frame         ret, frame = cap.read()         if ret == True:               # Display the resulting frame             cv2.imshow('Frame', frame)               # Press Q on keyboard to  exit             if cv2.waitKey(25) & 0xFF == ord('q'):                 break           # Break the loop         else:             break       # When everything done, release the video capture object     cap.release()       # Closes all the frames     cv2.destroyAllWindows()       return time.time() - this_time     from PIL import Image, ImageDraw, ImageFont   # myfont = ImageFont.truetype("simhei.ttf", 50, encoding="utf-8") myfont = ImageFont.truetype("simhei.ttf", encoding="utf-8")   import cv2 import numpy as np   l = sentence_l_chk char_loop_l = sentence_l_chk # 2个空格有别于1个空格 #char_loop_l_len = len(''.join(sentence_l_chk).replace('  ', '')) + 2*len(char_loop_l) #char_loop_l_len =  3*len(char_loop_l) char_loop_l_len =  len(char_loop_l)     char_loop_l_len = len(''.join(sentence_l_chk))   #char_loop_l_len = len(''.join(sentence_l_chk).replace(' ',''))     # char_loop_l_len=len(char_loop_l) '''   '''     # l=sentence_l_chk # char_loop_l=sentence_l_chk # #2个空格有别于1个空格 # char_loop_l_len=len(char_loop_l) # # import time myinterval=t_spend/char_loop_l_len def gen_video(os_delay_factor=0.245, mystep=0.01, bear_error_second=1, audio_spend=t_spend, step_para=1):     f_v = '{}{}'.format(int(time.time()), 'saveVideo.b.avi')       f_v = '{}{}{}{}{}{}{}'.format('D:\\myv\\', 'g3db', uid, 'g3uid', uid, int(time.time()), 'saveVideo.b.avi')     fps, fourcc = 15, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G')     # fourcc = cv2.VideoWriter_fourcc('M', 'J', 'P', 'G')  # opencv3.0     videoWriter = cv2.VideoWriter(f_v, fourcc, fps, (mode_img_size_wh[0], mode_img_size_wh[1]))     for i in l:         myinterval = t_spend / (char_loop_l_len * 1) * os_delay_factor         i_index = l.index(i)         img_index = i_index % len(imgs)         imgname = imgs[img_index]         mystr =''         le=len(i)         br_step=34         br_times=math.ceil(le/br_step)         l_tmp=[]         for i_br_loop in range(br_times):             i_br=i[i_br_loop*br_step:i_br_loop*br_step+br_step]             l_tmp.append(i_br)         mystr = '\n'.join(l_tmp)         print(mystr)         this_time = time.time()         '''       !!!!!!!!!!!!!!!!        '''      #   myinterval*=le        # myinterval*=len(mystr.replace(' ','').replace('\n',''))         myinterval*=len(i)         # r_times_all=char_loop_l_len         # for r_times in range(len(i)):         # #不控制时间，控制帧的次数         #     time.sleep(myinterval)         frame = cv2.imread(imgname)         del_f = False         if (frame.shape[1], frame.shape[0]) != (mode_img_size_wh[0], mode_img_size_wh[1]):             imgname = resize_rescale_pilimg(imgname)             frame = cv2.imread(imgname)             del_f = True         else:             pass         frame_cv2 = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)         frame_pil = Image.fromarray(frame_cv2)  # 转为PIL的图片格式         # font = ImageFont.truetype("simhei.ttf", 50, encoding="utf-8")         font = ImageFont.truetype("simhei.ttf", encoding="utf-8")         ImageDraw.Draw(frame_pil).text((100, 20), mystr, (0, 0, 255), font)         frame_cv2 = cv2.cvtColor(np.array(frame_pil), cv2.COLOR_RGB2BGR)         img = frame_cv2         while time.time() - this_time < myinterval:             videoWriter.write(img)             # 换图 延迟             # videoWriter.write(img)             # if del_f:             #     if os.path.exists(imgname):             #         print(imgname)             #         print('del')             #         # 删除文件，可使用以下两种方法。             #         os.remove(imgname)             #         # os.unlink(my_file)             # else:             #     pass     videoWriter.release()     time.sleep(1)     video_playtime = compute_video_playtime(f_v)       if video_playtime - audio_spend > bear_error_second:         # os_delay_factor -= mystep         os_delay_factor *= t_spend / video_playtime         gen_video(os_delay_factor=os_delay_factor, mystep=0.005, audio_spend=t_spend)     elif audio_spend - video_playtime > bear_error_second:         #  os_delay_factor += mystep         os_delay_factor *= t_spend / video_playtime         gen_video(os_delay_factor=os_delay_factor, mystep=0.005, audio_spend=t_spend)     else:         os._exit(123) mycom = 0.19928228783504076*577/615 # gen_video(os_delay_factor=1, mystep=0.003, bear_error_second=0.5, audio_spend=t_spend) mycom=577/1030*0.3 mycom=577/1025*0.17858123692538752 mycom=577/328*0.10052816946921814 mycom=1 gen_video(os_delay_factor=mycom, mystep=0.003, bear_error_second=0.5, audio_spend=t_spend)