分析非线性系统2个突破口：0-采集数据，依靠统计 1- 切换维度，回归线性 分句

# 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 = ['
', '	', '。', '；', '？', '.', ';', '?', '...', '、、、', '：']


# 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 = [ '。', '；', '？', '.', ';', '?', '...', '、、、','：',':','，','
']

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('
',''))
        # if len(lines.replace(' ','').replace('
',''))==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('
', '')
    #   del sentence_l[sentence_l.index(i)]
    if len(chk_br) > 0:
        sentence_l_chk.append(chk_br)

sentence_l_chk = [i.replace('  ', '') for i in sentence_l_chk]

import os

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('
', '')
        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)
#
#

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]))

    # f_v = '{}{}'.format(int(time.time()), 'saveVideo.b.avi')

    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 = '
'.join(l_tmp)
        print(mystr)

        this_time = time.time()

        '''
      !!!!!!!!!!!!!!!!
       '''

     #   myinterval*=le
        myinterval*=len(mystr.replace(' ','').replace('
',''))



        while time.time() - this_time < 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
            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
gen_video(os_delay_factor=mycom, 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 = ['
', '	', '。', '；', '？', '.', ';', '?', '...', '、、、', '：']


# 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 = [ '。', '；', '？', '.', ';', '?', '...', '、、、','：',':','，','
']

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('
',''))
        # if len(lines.replace(' ','').replace('
',''))==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('
', '')
    #   del sentence_l[sentence_l.index(i)]
    if len(chk_br) > 0:
        sentence_l_chk.append(chk_br)

sentence_l_chk = [i.replace('  ', '') for i in sentence_l_chk]

import os

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

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('
', '')
        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('  ', '')) + len(char_loop_l)
char_loop_l_len = len(''.join(sentence_l_chk))
# char_loop_l_len = len(''.join(sentence_l_chk))
# char_loop_l_len=len(char_loop_l)

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')
    videoWriter = cv2.VideoWriter(f_v, fourcc, fps, (mode_img_size_wh[0], mode_img_size_wh[1]))
    myinterval = t_spend / (char_loop_l_len * 1) * os_delay_factor
    for i in l:
        i_index = l.index(i)
        img_index = i_index % len(imgs)
        imgname = imgs[img_index]
        mystr, le = '', len(i)
        # for ii in range(le):
        for ii in range(0, le, step_para):
            # print(i)
            iii = i[ii]
            # iii = i[ii,ii+step_para]
            if len(mystr) % 34 == 0:
                mystr = '{}{}'.format(mystr, '
')
            mystr = '{}{}'.format(mystr, iii)
            print(mystr)

            this_time = time.time()
            while time.time() - this_time < myinterval:
                # if True:
                # print(imgname)
                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
                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()
    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=0.08658276038417011 * 577 / 490
mycom=0.11378799128386441 * 577 / 598
mycom=0.10979209192439761 * 577 /518
mycom=0.12229736880381742 * 577 /584
mycom=0.3545563004154296 * 577 /649
mycom=1
gen_video(os_delay_factor=mycom, mystep=0.003, bear_error_second=0.5, audio_spend=t_spend)

　　

分析非线性系统2个突破口：0-采集数据，依靠统计 1- 切换维度，回归线性