尊重百度的api语音合成规则

屏幕显示字幕内容与形式和字幕的播放时长分离

：去除标点符号的影响

# 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 = ['\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.replace(' ', '')) > 0:

        sentence_l_chk.append(chk_br.replace('   ', ''))

bdmp3filter_l = ['：', '——', ',', '《', '》', '“', '”', '、', '（', '）', '.', ' ']  # 注意空格

# 保留其他标点符号

mp3_str = ' '.join(sentence_l_chk)

mp3_str_bdmp3filter = mp3_str

for i in bdmp3filter_l:

    mp3_str_bdmp3filter = mp3_str_bdmp3filter.replace(i, '')

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(',')]

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]

import time, math

this_time = time.time()

import imageio

imageio.plugins.ffmpeg.download()

from moviepy.editor import VideoFileClip

f_mp3 = 'g3dbCAKEg3uidnoBRBlankLine.09.mp3'

import mutagen.id3

from mutagen.easyid3 import EasyID3

from mutagen.mp3 import MP3

EasyID3.valid_keys["comment"] = "COMM::'XXX'"

id3info = MP3(f_mp3, ID3=EasyID3)

t_spend = id3info.info.length

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

"""

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

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

equal_str_l = []

le = len(mp3_str)

br_step = 34

br_times = math.ceil(le / br_step)

for i_br_loop in range(br_times):

    s_p = mp3_str[i_br_loop * br_step:i_br_loop * br_step + br_step]

    equal_str_l.append(s_p)

l = equal_str_l

char_loop_l_len = len(mp3_str) / len(equal_str_l)

char_loop_l_len = len(mp3_str_bdmp3filter)

'''

bdmp3filter_l = ['：', '——', ',', '《', '》', '“', '”', '、', '（', '）', '.', ' ']  # 注意空格

# 保留其他标点符号

mp3_str = ' '.join(sentence_l_chk)

mp3_str_bdmp3filter = mp3_str

for i in bdmp3filter_l:

    mp3_str_bdmp3filter = mp3_str_bdmp3filter.replace(i, '')

'''

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('D:\\myv\\', 'g3db', uid, 'g3uid', uid, int(time.time()), 'saveVideo.b.avi')

    fps, fourcc = 15, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G')

    videoWriter = cv2.VideoWriter(f_v, fourcc, fps, (mode_img_size_wh[0], mode_img_size_wh[1]))

    for i in l:

        print(i)

        i_index = l.index(i)

        img_index = i_index % len(imgs)

        imgname = imgs[img_index]

        mystr, le = i, len(i)

        this_time = time.time()

        frame = cv2.imread(imgname)

        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)

        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)

        f_x, f_y = math.floor((mode_img_size_wh[0]) * 0.15), math.floor(mode_img_size_wh[1] * 0.85)

        #  ImageDraw.Draw(frame_pil).text((30, mode_img_size_wh[1]-30), mystr, (0, 0, 255), font)

        ImageDraw.Draw(frame_pil).text((f_x, f_y), mystr, (0, 0, 255), font)

        frame_cv2 = cv2.cvtColor(np.array(frame_pil), cv2.COLOR_RGB2BGR)

        img = frame_cv2

        line_bdmp3filter = i

        for bdmp3filter in bdmp3filter_l:

            line_bdmp3filter = line_bdmp3filter.replace(bdmp3filter, '')

        myinterval = t_spend / (char_loop_l_len * 1) * os_delay_factor * len(line_bdmp3filter)

        while time.time() - this_time < myinterval:

            videoWriter.write(img)

    videoWriter.release()

    time.sleep(1)

    video_playtime = VideoFileClip(f_v).duration

    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)

'''

326

'''

mycom = 0.9 * 335 / 1801

gen_video(os_delay_factor=0.48, mystep=0.003, bear_error_second=0.5, audio_spend=t_spend)

# 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 = ['\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.replace(' ', '')) > 0:

        sentence_l_chk.append(chk_br.replace('   ', ''))

bdmp3filter_l = ['：', '——', ',', '《', '》', '“', '”', '、', '（', '）', '.', ' ']  # 注意空格

# 保留其他标点符号

mp3_str = ' '.join(sentence_l_chk)

mp3_str_bdmp3filter = mp3_str

for i in bdmp3filter_l:

    mp3_str_bdmp3filter = mp3_str_bdmp3filter.replace(i, '')

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(',')]

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]

import time, math

this_time = time.time()

import imageio

imageio.plugins.ffmpeg.download()

from moviepy.editor import VideoFileClip

f_mp3 = 'g3dbCAKEg3uidnoBRBlankLine.09.mp3'

import mutagen.id3

from mutagen.easyid3 import EasyID3

from mutagen.mp3 import MP3

EasyID3.valid_keys["comment"] = "COMM::'XXX'"

id3info = MP3(f_mp3, ID3=EasyID3)

t_spend = id3info.info.length

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

"""

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

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

equal_str_l = []

le = len(mp3_str)

br_step = 34

br_times = math.ceil(le / br_step)

for i_br_loop in range(br_times):

    s_p = mp3_str[i_br_loop * br_step:i_br_loop * br_step + br_step]

    equal_str_l.append(s_p)

l = equal_str_l

char_loop_l_len = len(mp3_str) / len(equal_str_l)

char_loop_l_len = len(mp3_str_bdmp3filter)

'''

bdmp3filter_l = ['：', '——', ',', '《', '》', '“', '”', '、', '（', '）', '.', ' ']  # 注意空格

# 保留其他标点符号

mp3_str = ' '.join(sentence_l_chk)

mp3_str_bdmp3filter = mp3_str

for i in bdmp3filter_l:

    mp3_str_bdmp3filter = mp3_str_bdmp3filter.replace(i, '')

'''

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('D:\\myv\\', 'g3db', uid, 'g3uid', uid, int(time.time()), 'saveVideo.b.avi')

    fps, fourcc = 15, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G')

    videoWriter = cv2.VideoWriter(f_v, fourcc, fps, (mode_img_size_wh[0], mode_img_size_wh[1]))

    for i in l:

       # print(i)

        i_index = l.index(i)

        img_index = i_index % len(imgs)

        imgname = imgs[img_index]

        mystr, le = i, len(i)

        frame = cv2.imread(imgname)

        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)

        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)

        f_x, f_y = math.floor((mode_img_size_wh[0]) * 0.15), math.floor(mode_img_size_wh[1] * 0.85)

        #  ImageDraw.Draw(frame_pil).text((30, mode_img_size_wh[1]-30), mystr, (0, 0, 255), font)

        ImageDraw.Draw(frame_pil).text((f_x, f_y), mystr, (0, 0, 255), font)

        frame_cv2 = cv2.cvtColor(np.array(frame_pil), cv2.COLOR_RGB2BGR)

        img = frame_cv2

        line_bdmp3filter = i

        for bdmp3filter in bdmp3filter_l:

            line_bdmp3filter = line_bdmp3filter.replace(bdmp3filter, '')

        myinterval = t_spend / (len(mp3_str_bdmp3filter) * 1) * os_delay_factor * len(line_bdmp3filter)

        print(myinterval,'---------------',mystr)

        this_time = time.time()

        while time.time() - this_time < myinterval:

            videoWriter.write(img)

    videoWriter.release()

    time.sleep(1)

    video_playtime = VideoFileClip(f_v).duration

    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)

'''

326

'''

gen_video(os_delay_factor=0.045, mystep=0.003, bear_error_second=0.5, audio_spend=t_spend)

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