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  • 处理像素的图片消耗的时间不同,故不应写入循环体

    # 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_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.replace(' ', '')) > 0:
            sentence_l_chk.append(chk_br.replace('   ', ''))
    
    mp3_str = ' '.join(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(',')]
    
    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)
    
    
    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]))
        myinterval = t_spend / (char_loop_l_len * 1) * os_delay_factor
        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
            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=0.52, mystep=0.003, bear_error_second=0.5, audio_spend=t_spend)
    

      

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  • 原文地址:https://www.cnblogs.com/rsapaper/p/8808081.html
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