非线性

 

 

 

 

 

from aip import AipSpeech

bd_k_l = ['11059852', '5Kk01GtG2fjCwpzEkwdn0mjw', 'bp6Wyx377Elq7RsCQZzTBgGUFzLm8G2A']
APP_ID, API_KEY, SECRET_KEY = bd_k_l


def gen_bd_mp3(uid, str_):
    mp3_dir = 'C:\\Users\\sas\\PycharmProjects\\produce_video\\mymp3\\'
    mp3_dir = 'D:\\mymp3\\'
    client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
    result = client.synthesis(str_, 'zh', 1, {
        'vol': 5,
    })
    # 识别正确返回语音二进制 错误则返回dict 参照下面错误码
    if not isinstance(result, dict):
        f_w = '{}{}{}{}'.format(mp3_dir, 'semHAND', uid, '.mp3')
        #  with open('auido.b.mp3', 'wb') as f:
        with open(f_w, 'wb') as f:
            f.write(result)


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]

uid_d = []
f, uid_n = 'html.parp.txt', 0
sen_l = ['。', '\n']

whole_s = ''
with open(f, 'r', encoding='utf-8') as fr:
    for i in fr:
        whole_s = '{}{}'.format(whole_s, i)

# 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


sentence_l = Cut(list(cutlist), list(whole_s))
sentence_l_noblank = []
for i in sentence_l:
    if i != '\n':
        sentence_l_noblank.append(i.replace('\n', ''))

'''
在标点符号正确的情况下分割出自然的句子
'''

'''
以句子为单位生成声音
'''

from aip import AipSpeech

bd_k_l = ['11059852', '5Kk01GtG2fjCwpzEkwdn0mjw', 'bp6Wyx377Elq7RsCQZzTBgGUFzLm8G2A']
APP_ID, API_KEY, SECRET_KEY = bd_k_l


def gen_bd_mp3(uid, str_):
    mp3_dir = 'C:\\Users\\sas\\PycharmProjects\\produce_video\\mymp3\\'
    mp3_dir = 'D:\\mymp3\\'
    client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
    result = client.synthesis(str_, 'zh', 1, {
        'vol': 5,
    })
    # 识别正确返回语音二进制 错误则返回dict 参照下面错误码
    if not isinstance(result, dict):
        f_w = '{}{}{}{}'.format(mp3_dir, 'oneSen', uid, '.mp3')
        #  with open('auido.b.mp3', 'wb') as f:
        with open(f_w, 'wb') as f:
            f.write(result)


uid_d = {}
uid, uid_n = 43020157, 0
uid_d[uid] = {}
uid_d[uid]['sen_d'], uid_d[uid]['img_l'] = {}, []
for i in sentence_l_noblank:
    uid_sen = '{}{}{}'.format(uid, '_', uid_n)
    # gen_bd_mp3(uid_sen, i)
    uid_n += 1
    mp3_dir = 'D:\\mymp3\\'
    f_w = '{}{}{}{}'.format(mp3_dir, 'oneSen', uid_sen, '.mp3')
    uid_d[uid]['sen_d'][f_w] = i

import glob

f_img_d = '{}{}{}{}{}'.format(this_file_dirname, os_sep, 'mypng', os_sep, '*.jpg')
imgs = glob.glob(f_img_d)
uid_d[uid]['img_l'] = []
for i in imgs:
    if 'logo' in i:
        if 'uid' in i:
            #      print(i)
            uid_d[uid]['img_logo_uid'] = i
        else:
            uid_d[uid]['img_logo_our'] = i
    else:
        uid_d[uid]['img_l'].append(i)

for i in uid_d[uid]:
    print(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, logo_f_uid, imgs = uid_d[uid]['img_logo_our'], uid_d[uid]['img_logo_uid'], uid_d[uid]['img_l']
img_size_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

# 取众数
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]
os_sep = os.sep

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


def resize_rescale_pilimg(img_f, w_h_tuple=(mode_img_size_wh[0], mode_img_size_wh[1]), mid_factor=1):
    img_n, img_type = img_f.split('.')[-2], img_f.split('.')[-1]
    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')
    img_type = 'PNG'
    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", encoding="utf-8")
import cv2
import numpy as np
import math

br_step = math.floor((mode_img_size_wh[0]) * 0.0185)


def gen_video(os_delay_factor=0.046, bear_error_second=0.05):
    audio_spend = 0
    f_v = '{}{}{}{}'.format('D:\\myv\\', uid, int(time.time()), '.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]))
    img_seq = 0
    for f_mp3 in uid_d[uid]['sen_d']:
        screen_str = uid_d[uid]['sen_d'][f_mp3]
        screen_str_l = []
        br_step_times = math.ceil(len(screen_str) / br_step)

        for i in range(br_step_times):
            myrow = screen_str[i * br_step:(i + 1) * br_step]
            screen_str_l.append(myrow)
        screen_str = '\n'.join(screen_str_l)


        imgname = uid_d[uid]['img_l'][img_seq % len(uid_d[uid]['img_l'])]
        img_seq += 1
        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
        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

        img3 = cv2.imread(logo_f_uid)  # logo
        rows, cols, channels = img3.shape
        rows1, cols1, channels1 = img1.shape
        roi = img1[0:rows, cols1 - cols:cols1]  # 取img1的这个区域来处理
        img3gray = cv2.cvtColor(img3, cv2.COLOR_BGR2GRAY)  # 建立logo的二值图，也建立相反的二值图
        ret, mask = cv2.threshold(img3gray, 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
        img3_fg = cv2.bitwise_and(img3, img3, mask=mask_inv)  # 与操作
        dst = cv2.add(img1_bg, img3_fg)  # 相加
        img1[0:rows, cols1 - cols:cols1] = 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_size = math.floor((mode_img_size_wh[0]) * 0.040)
        font = ImageFont.truetype("simhei.ttf", font_size, encoding="utf-8")
        f_x, f_y = math.floor((mode_img_size_wh[0]) * 0.06), math.floor(
            mode_img_size_wh[1] * 0.85) - br_step_times * font_size
        ImageDraw.Draw(frame_pil).text((f_x, f_y), screen_str, (255, 0, 0), font)
        frame_cv2 = cv2.cvtColor(np.array(frame_pil), cv2.COLOR_RGB2BGR)
        img = frame_cv2

        EasyID3.valid_keys["comment"] = "COMM::'XXX'"
        id3info = MP3(f_mp3, ID3=EasyID3)
        t_spend = id3info.info.length

        audio_spend += t_spend
        print(audio_spend)
        myinterval = t_spend * os_delay_factor
        print(myinterval, '---------------', screen_str)
        this_time = time.time()
        while time.time() - this_time < myinterval:
            videoWriter.write(img)
    videoWriter.release()
    time.sleep(1)

    print(f_v)
    video_playtime = VideoFileClip(f_v).duration
    print(math.fabs(video_playtime - audio_spend ))
    if math.fabs(video_playtime - audio_spend )>bear_error_second:
        os_delay_factor *= audio_spend / video_playtime
        gen_video(os_delay_factor, bear_error_second=0.05)
    else:
        os._exit(123)
gen_video(os_delay_factor=0.001, bear_error_second=0.05)
ddd = 9

　　

以上代码成立的前提 是 系统是线性 的 

 

 

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