减小文件大小 减少 帧

# 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 = [ '。', '；', '？', '.', ';', '?', '...', '、、、','：',':','，']
# 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_g3com\'
client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
# result = client.synthesis(str_, 'zh', 1, {
#     'vol': 5,
# })
uid = 'liukeyuanG3_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.replace(' ', '')) > 0:
        sentence_l_chk.append(chk_br.replace('   ', ''))
bdmp3filter_l = ['：', '——', ',', '《', '》', '“', '”', '、', '（', '）', '.', ' ']  # 注意空格

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]

logo_f_name, logo_f = 'g3logo.jpg', ''

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:
    if logo_f_name in i:
        logo_f = i
        del imgs[imgs.index(i)]

for i in imgs:
    if logo_f_name in i:
        logo_f = i
    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(',')]
mode_img_size_wh = [1208, 720]
mode_img_size_wh = [1280, 720]
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 = 'g3dbG3g3uidnoBRBlankLine.06.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_step = math.floor((mode_img_size_wh[0]) * 0.038)
br_step = math.floor((mode_img_size_wh[0]) * 0.036)
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)



import numpy as np

font_size = math.floor((mode_img_size_wh[0]) * 0.020)
f_x, f_y = math.floor((mode_img_size_wh[0]) * 0.06), math.floor(mode_img_size_wh[1] * 0.09)

one_frame_line_num = math.floor((mode_img_size_wh[1] - 2 * f_y) / font_size * 0.01)
one_frame_line_num = 12
one_frame_line_num = 23

multi_lines_l = []

for i in range(len(equal_str_l)):
    if i < one_frame_line_num:
        ll = l[0:i]
    else:
        ll = l[i - one_frame_line_num:i]
    multi_lines_l.append(ll)

del multi_lines_l[0]
multi_lines_l.append([i for i in equal_str_l[-one_frame_line_num:]])
l = multi_lines_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('D:\myv\', 'g3db', uid, 'g3uid', uid, int(time.time()), 'NOimg.avi')
    fps, fourcc = 15, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G')
    #   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]))
    img1 = np.zeros((mode_img_size_wh[1], mode_img_size_wh[0], 3), np.uint8)
    # fill the image with white
    img1.fill(255)

    img2 = cv2.imread(logo_f)  # logo
    rows, cols, channels = img2.shape
    roi = img1[0:rows, 0:cols]  # 取img1的这个区域来处理
    img2gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)  # 建立logo的二值图，也建立相反的二值图
    ret, mask = cv2.threshold(img2gray, 175, 255, cv2.THRESH_BINARY)  # 二值化
    mask_inv = cv2.bitwise_not(mask)  # 做非操作，黑的变白，白的变黑，黑色0，白色255
    img1_bg = cv2.bitwise_and(roi, roi, mask=mask)  # 与操作 ，参数输入，输出，与mask做and操作，黑色的被填充
    img2_fg = cv2.bitwise_and(img2, img2, mask=mask_inv)  # 与操作
    dst = cv2.add(img1_bg, img2_fg)  # 相加
    img1[0:rows, 0:cols] = dst  # 把添加了logo的该区域赋值回原来的地方

    for i in l:
        i_index = l.index(i)
        img_index = i_index % len(imgs)
        imgname = imgs[img_index]
        mystr = '
'.join(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
        # img1 = cv2.imread(imgname)  # 加载图像
        # img1 = np.zeros((mode_img_size_wh[1], mode_img_size_wh[0], 3), np.uint8)
        # # fill the image with white
        # img1.fill(255)
        #
        # img2 = cv2.imread(logo_f)  # logo
        # rows, cols, channels = img2.shape
        # roi = img1[0:rows, 0:cols]  # 取img1的这个区域来处理
        # img2gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)  # 建立logo的二值图，也建立相反的二值图
        # ret, mask = cv2.threshold(img2gray, 175, 255, cv2.THRESH_BINARY)  # 二值化
        # mask_inv = cv2.bitwise_not(mask)  # 做非操作，黑的变白，白的变黑，黑色0，白色255
        # img1_bg = cv2.bitwise_and(roi, roi, mask=mask)  # 与操作 ，参数输入，输出，与mask做and操作，黑色的被填充
        # img2_fg = cv2.bitwise_and(img2, img2, mask=mask_inv)  # 与操作
        # dst = cv2.add(img1_bg, img2_fg)  # 相加
        # img1[0:rows, 0:cols] = dst  # 把添加了logo的该区域赋值回原来的地方

        frame = img1

        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_size = math.floor((mode_img_size_wh[0]) * 0.020)
        font = ImageFont.truetype("simhei.ttf", font_size, 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]) * 0.06), math.floor(mode_img_size_wh[1] * 0.85)
        # f_x, f_y = math.floor((mode_img_size_wh[0]) * 0.06), math.floor(mode_img_size_wh[1] * 0.06)
        #  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
        line_bdmp3filter = equal_str_l[i_index]
        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)
        print(myinterval, '---------------', line_bdmp3filter)
        this_time = time.time()
        while time.time() - this_time < myinterval:
            videoWriter.write(img)
            time.sleep(0.05)

    videoWriter.release()
    time.sleep(4)
    print(f_v)
    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=0.0015, mystep=0.03, bear_error_second=0.5, audio_spend=t_spend)